what is the problem solving of a business

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What Is Problem Solving in Business?

Problem-solving in business is defined as implementing processes that reduce or remove obstacles that are preventing you or others from accomplishing operational and strategic business goals.

In business, a problem is a situation that creates a gap between the desired and actual outcomes. In addition, a true problem typically does not have an immediately obvious resolution.

Business problem-solving works best when it is approached through a consistent system in which individuals:

• Identify and define the problem
• Prioritize the problem based on size, potential impact, and urgency
• Complete a root-cause analysis
• Develop a variety of possible solutions
• Evaluate possible solutions and decide which is most effective
• Plan and implement the solution

Why Is Problem-Solving Important in Business?

Understanding the importance of problem-solving skills in the workplace will help you develop as a leader. Problem-solving skills will help you resolve critical issues and conflicts that you come across. Problem-solving is a valued skill in the workplace because it allows you to:

• Apply a standard problem-solving system to all challenges
• Find the root causes of problems
• Quickly deal with short-term business interruptions
• Form plans to deal with long-term problems and improve the organization
• See challenges as opportunities
• Keep your cool during challenges

How Do You Solve Business Problems Effectively?

There are many different problem-solving strategies, but most can be broken into general steps. Here is a six-step method for business problem solving:

1) Identify the Details of the Problem: Gather enough information to accurately define the problem. This can include data on procedures being used, employee actions, relevant workplace rules, and so on. Write down the specific outcome that is needed, but don’t assume what the solution should be.

• Use the Five Whys: When assessing a problem, a common strategy is to ask “why” five times. First, ask why the problem occurred. Then, take the answer and ask “why” again, and so on. The intention is to help you get down to the root cause of the problem so you can directly target that core issue with your solution.

2) Creatively Brainstorm Solutions:   State every solution you can think of. Write them down. Seek input from those who possess in-depth knowledge of or experience with the problem you’re trying to solve. These insights will provide you with valuable perspectives you can transform into tangible and impactful solutions.

3) Evaluate Solutions and Make a Decision:   Assess the feasibility of each solution. Is the deadline realistic? Are there readily available resources you can leverage to successfully implement the solution? What is the return on investment of each solution? If necessary, come up with alternative solutions or adjust the initial ones you brainstormed in step 2.

4) Make a Decision: Finally, make a firm decision on one solution. This final solution should clearly address the root cause of the problem.

• Perform a SWOT Analysis: You can use a SWOT analysis to help you decide on the best solution. A SWOT analysis involves identifying the strengths, weaknesses, opportunities, and threats linked to a specific decision. With this framework, your team can assess a decision from various angles, thereby gaining a holistic view of it.

5) Take Action:   Write up a detailed plan. This involves developing a comprehensive roadmap that outlines the steps required to implement your solution. The steps should specify milestones, deadlines, roles, and how to obtain the necessary approvals. To ensure accountability, your entire team should have access to this action plan. Each team member should be able to track and share their progress with the group.

6) Gather and Share Feedback: Problem-solving is not a “set it and forget it” process. It’s a dynamic journey that necessitates ongoing attention, deliberation, and refinement to achieve optimal results. Thus, periodic feedback is critical in validating whether the chosen solution creates the desired impact. It allows key stakeholders to check in and make any necessary changes.

What Are Problem-Solving Skills?

Problem-solving skills are specific procedures that can be used to complete one or more of the six general steps of problem-solving (discussed above). Here are five important examples:

Using Emotional Intelligence: You’ll solve problems more calmly when you learn to recognize your own emotional patterns and to empathize with and guide the emotions of others. Avoid knee-jerk responses and making assumptions.

Researching Problems: An effective solution requires an accurate description of the problem. Define simple problems using quick research methods such as asking, “What? Where? When? and How much?.” Difficult problems require more in-depth research, such as data exploration, surveys, and interviews.

Creative Brainstorming: When brainstorming with a group, encourage idea creation by listening attentively to everyone, and recognizing everyone’s unique contributions.

Logical Reasoning: Develop standard logical steps for analyzing possible solutions to problems. Study and apply ideas about logical fallacies, deductive reasoning, and other areas of analytical thought.

Decisiveness: Use an agreed-upon system for choosing a solution, which can include assigning pros and cons to solutions, identifying mandatory results, getting feedback about solutions, choosing the decision-maker(s), and finishing or repeating the process.

How Can You Improve Your Problem-Solving Skills?

Learning how to solve business problems takes time and effort. Though some people appear to have been born with superior problem-solving skills, great problem-solvers usually have taken the time to refine their abilities. You can develop high-level skills for solving problems too, through the following methods:

Ask and Listen: Don’t expect to solve every problem alone. Ask for advice, and listen to it carefully.

Practice Curiosity: Any time you’re involved in solving a problem, practice researching and defining the problem just a little longer than you would naturally.

Break Down Problems: Whenever possible, break large problems into their smallest units. Then, search for solutions to one unit at a time.

Don’t Label Yourself Negatively: Don’t allow a problem to mean something negative about you personally. Separate yourself from it. Look at it objectively and be part of the solution.

Enhance Your Problem-Solving Skills with CMOE

Problem-solving skills in business are not developed overnight. Developing then takes ongoing practice and the right guidance to get right. We encourage you to leverage CMOE’s Problem-Solving and Decision Making in the Workplace workshop to further develop your skills. We’ll help you identify new ways to solve problems methodically so you can create greater impact.

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10 Step Process for Effective Business Problem Solving

Posted august 3, 2021 by harriet genever.

When you start a small business or launch a startup, the one thing you can count on is the unexpected. No matter how thoroughly you plan, forecast , and test, problems are bound to arise. This is why as an entrepreneur, you need to know how to solve business problems effectively.

What is problem solving in business?

Problem solving in business relates to establishing processes that mitigate or remove obstacles currently preventing you from reaching strategic goals . These are typically complex issues that create a gap between actual results and your desired outcome. They may be present in a single team, operational process, or throughout your entire organization, typically without an immediate or obvious solution. 

To approach problem solving successfully, you need to establish consistent processes that help you evaluate, explore solutions, prioritize execution, and measure success. In many ways, it should be similar to how you review business performance through a monthly plan review . You work through the same documentation, look for gaps, dig deeper to identify the root cause, and hash out options. Without this process, you simply cannot expect to solve problems efficiently or effectively. 

Why problem solving is important for your business

While some would say problem-solving comes naturally, it’s actually a skill you can grow and refine over time. Problem solving skills will help you and your team tackle critical issues and conflicts as they arise. It starts from the top. You as the business owner or CEO needing to display the type of level-headed problem solving that you expect to see from your employees.

Doing so will help you and your staff quickly deal with issues, establish and refine a problem solving process, turn challenges into opportunities, and generally keep a level head. Now, the best business leaders didn’t just find a magic solution to solve their problems, they built processes and leveraged tools to find success. And you can do the same.

By following this 10-step process, you can develop your problem-solving skills and approach any issue that arises with confidence. 

1. Define the problem

When a problem arises, it can be very easy to jump right into creating a solution. However, if you don’t thoroughly examine what led to the problem in the first place, you may create a strategy that doesn’t actually solve it. You may just be treating the symptoms.

For instance, if you realize that your sales from new customers are dropping, your first inclination might be to rush into putting together a marketing plan to increase exposure. But what if decreasing sales are just a symptom of the real problem? 

When you define the problem, you want to be sure you’re not missing the forest for the trees. If you have a large issue on your hands, you’ll want to look at it from several different angles:

Competition 

Is a competitor’s promotion or pricing affecting your sales? Are there new entrants in your market? How are they marketing their product or business?

Business model 

Is your business model sustainable? Is it realistic for how fast you want to grow? Should you explore different pricing or cost strategies?

Market factors

How are world events and the nation’s economy affecting your customers and your sales?

Are there any issues affecting your team? Do they have the tools and resources they need to succeed? 

Goal alignment 

Is everyone on your team working toward the same goal ? Have you communicated your short-term and long-term business goals clearly and often?

There are a lot of ways to approach the issue when you’re facing a serious business problem. The key is to make sure you’re getting a full snapshot of what’s going on so you don’t waste money and resources on band-aid solutions. 

Going back to our example, by looking at every facet of your business, you may discover that you’re spending more on advertising than your competitors already. And instead, there’s a communication gap within your team that’s leading to the mishandling of new customers and therefore lost sales. 

If you jumped into fixing the exposure of your brand, you would have been dumping more money into an area you’re already winning. Potentially leading to greater losses as more and more new customers are dropped due to poor internal communication.

This is why it’s so vital that you explore your blind spots and track the problem to its source.

2. Conduct a SWOT analysis

All good businesses solve some sort of problem for customers. What if your particular business problem is actually an opportunity, or even a strength if considered from a different angle? This is when you’d want to conduct a SWOT analysis to determine if that is in fact the case.

SWOT is a great tool for strategic planning and bringing multiple viewpoints to the table when you’re looking at investing resources to solve a problem. This may even be incorporated in your attempts to identify the source of your problem, as it can quickly outline specific strengths and weaknesses of your business. And then by identifying any potential opportunities or threats, you can utilize your findings to kickstart a solution. 

3. Identify multiple solutions with design thinking

As you approach solving your problem, you may want to consider using the design thinking approach . It’s often used by organizations looking to solve big, community-based problems. One of its strengths is that it requires involving a wide range of people in the problem-solving process. Which leads to multiple perspectives and solutions arising.

This approach—applying your company’s skills and expertise to a problem in the market—is the basis for design thinking.

It’s not about finding the most complex problems to solve, but about finding common needs within the organization and in the real world and coming up with solutions that fit those needs. When you’re solving business problems, this applies in the sense that you’re looking for solutions that address underlying issues—you’re looking at the big picture.

4. Conduct market research and customer outreach

Market research and customer outreach aren’t the sorts of things small business owners and startups can do once and then cross off the list. When you’re facing a roadblock, think back to the last time you did some solid market research or took a deep dive into understanding the competitive landscape .

Market research and the insights you get from customer outreach aren’t a silver bullet. Many companies struggle with what they should do with conflicting data points. But it’s worth struggling through and gathering information that can help you better understand your target market . Plus, your customers can be one of the best sources of criticism. It’s actually a gift if you can avoid taking the negatives personally .

The worst thing you can do when you’re facing challenges is isolating yourself from your customers and ignore your competition. So survey your customers. Put together a competitive matrix . 

5. Seek input from your team and your mentors

Don’t do your SWOT analysis or design thinking work by yourself. The freedom to express concerns, opinions, and ideas will allow people in an organization to speak up. Their feedback is going to help you move faster and more efficiently. If you have a team in place, bring them into the discussion. You hired them to be experts in their area; use their expertise to navigate and dig deeper into underlying causes of problems and potential solutions.

If you’re running your business solo, at least bring in a trusted mentor. SCORE offers a free business mentorship program if you don’t already have one. It can also be helpful to connect with a strategic business advisor , especially if business financials aren’t your strongest suit.

Quoting Stephen Covey, who said that “strength lies in differences, not in similarities,” speaking to the importance of diversity when it comes to problem-solving in business. The more diverse a team is , the more often innovative solutions to the problems faced by the organization appear.

In fact, it has been found that groups that show greater diversity were better at solving problems than groups made up specifically of highly skilled problem solvers. So whoever you bring in to help you problem-solve, resist the urge to surround yourself with people who already agree with you about everything.

6. Apply lean planning for nimble execution

So you do your SWOT analysis and your design thinking exercise. You come up with a set of strong, data-driven ideas. But implementing them requires you to adjust your budget, or your strategic plan, or even your understanding of your target market.

Are you willing to change course? Can you quickly make adjustments? Well in order to grow, you can’t be afraid to be nimble . 

By adopting the lean business planning method —the process of revising your business strategy regularly—you’ll be able to shift your strategies more fluidly. You don’t want to change course every week, and you don’t want to fall victim to shiny object thinking. But you can strike a balance that allows you to reduce your business’s risk while keeping your team heading in the right direction.

Along the way, you’ll make strategic decisions that don’t pan out the way you hoped. The best thing you can do is test your ideas and iterate often so you’re not wasting money and resources on things that don’t work. That’s Lean Planning .

7. Model different financial scenarios

When you’re trying to solve a serious business problem, one of the best things you can do is build a few different financial forecasts so you can model different scenarios. You might find that the idea that seemed the strongest will take longer than you thought to reverse a negative financial trend. At the very least you’ll have better insight into the financial impact of moving in a different direction.

The real benefit here is looking at different tactical approaches to the same problem. Maybe instead of increasing sales right now, you’re better off in the long run if you adopt a strategy to reduce churn and retain your best customers. You won’t know unless you model a few different scenarios. You can do this by using spreadsheets, and a tool like LivePlan can make it easier and quicker.

8. Watch your cash flow

While you’re working to solve a challenging business problem, pay particular attention to your cash flow and your cash flow forecast . Understanding when your company is at risk of running out of cash in the bank can help you be proactive. It’s a lot easier to get a line of credit while your financials still look good and healthy, than when you’re one pay period away from ruin.

If you’re dealing with a serious issue, it’s easy to start to get tunnel vision. You’ll benefit from maintaining a little breathing room for your business as you figure out what to do next.

9. Use a decision-making framework

Once you’ve gathered all the information you need, generated a number of ideas, and done some financial modeling, you might still feel uncertain. It’s natural—you’re not a fortune-teller. You’re trying to make the best decision you can with the information you have.

This article offers a really useful approach to making decisions. It starts with putting your options into a matrix like this one:

Use this sort of framework to put everything you’ve learned out on the table. If you’re working with a bigger team, this sort of exercise can also bring the rest of your team to the table so they feel some ownership over the outcome.

10. Identify key metrics to track

How will you know your problem is solved? And not just the symptom—how will you know when you’ve addressed the underlying issues? Before you dive into enacting the solution, make sure you know what success looks like.

Decide on a few key performance indicators . Take a baseline measurement, and set a goal and a timeframe. You’re essentially translating your solution into a plan, complete with milestones and goals. Without these, you’ve simply made a blind decision with no way to track success. You need those goals and milestones to make your plan real .

Problem solving skills to improve

As you and your team work through this process, it’s worth keeping in mind specific problem solving skills you should continue to develop. Bolstering your ability, as well as your team, to solve problems effectively will only make this process more useful and efficient. Here are a few key skills to work on.

Emotional intelligence

It can be very easy to make quick, emotional responses in a time of crisis or when discussing something you’re passionate about. To avoid making assumptions and letting your emotions get the best of you, you need to focus on empathizing with others. This involves understanding your own emotional state, reactions and listening carefully to the responses of your team. The more you’re able to listen carefully, the better you’ll be at asking for and taking advice that actually leads to effective problem solving.

Jumping right into a solution can immediately kill the possibility of solving your problem. Just like when you start a business , you need to do the research into what the problem you’re solving actually is. Luckily, you can embed research into your problem solving by holding active reviews of financial performance and team processes. Simply asking “What? Where? When? How?” can lead to more in-depth explorations of potential issues.

The best thing you can do to grow your research abilities is to encourage and practice curiosity. Look at every problem as an opportunity. Something that may be trouble now, but is worth exploring and finding the right solution. You’ll pick up best practices, useful tools and fine-tune your own research process the more you’re willing to explore.

Brainstorming

Creatively brainstorming with your team is somewhat of an art form. There needs to be a willingness to throw everything at the wall and act as if nothing is a bad idea at the start. This style of collaboration encourages participation without fear of rejection. It also helps outline potential solutions outside of your current scope, that you can refine and turn into realistic action.

Work on breaking down problems and try to give everyone in the room a voice. The more input you allow, the greater potential you have for finding the best solution.

Decisiveness

One thing that can drag out acting upon a potential solution, is being indecisive. If you aren’t willing to state when the final cutoff for deliberation is, you simply won’t take steps quickly enough. This is when having a process for problem solving comes in handy, as it purposefully outlines when you should start taking action.

Work on choosing decision-makers, identify necessary results and be prepared to analyze and adjust if necessary. You don’t have to get it right every time, but taking action at the right time, even if it fails, is almost more vital than never taking a step.  

Stemming off failure, you need to learn to be resilient. Again, no one gets it perfect every single time. There are so many factors in play to consider and sometimes even the most well-thought-out solution doesn’t stick. Instead of being down on yourself or your team, look to separate yourself from the problem and continue to think of it as a puzzle worth solving. Every failure is a learning opportunity and it only helps you further refine and eliminate issues in your strategy.

Problem solving is a process

The key to effective problem-solving in business is the ability to adapt. You can waste a lot of resources on staying the wrong course for too long. So make a plan to reduce your risk now. Think about what you’d do if you were faced with a problem large enough to sink your business. Be as proactive as you can.

Editor’s note: This article was originally published in 2016. It was updated in 2021.

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Harriet Genever

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• 7 Steps to Effective Business Problem Solving

Lidia Hovhan SEO Analyst

In the world of business, one piece of advice you can probably abide by is to expect the unexpected.

Whatever the size of your business, you need to have a contingency plan for when problems arise since they are a part of every organization.

Regardless of how well you forecast, plan and test, challenges will always emerge in business. Having the right problem-solving plan can go a long way in ensuring you continue to function even amid unexpected and difficult circumstances.

What is problem-solving in business?

Problem-solving refers to the process to remove or mitigate obstacles that prevent a business from reaching its strategic goals. These can be issues that widen the gap between results and desired outcomes that do not have an obvious or immediate solution. They can be present in operational processes, teams or throughout an organization.

For instance, if the main problem a business is facing is productivity from remote employees, ensuring you equip them with the right work from home essentials by Omnicore can positively impact their productivity.

To be able to approach problem solving effectively, an organization should establish processes that can help in evaluating them, exploring the solutions, prioritizing execution and measuring success.

Why is it so important?

Acquiring problem-solving skills makes it easier for a team to tackle critical business issues or conflicts as they arise. This is a process that needs to be initiated by the management. A CEO or business owner should possess level-headed problem-solving skills to be mirrored by the employees.

With effective problem-solving techniques, the company and staff are better placed to deal with issues more effectively and even establish and refine how they deal with challenges in the future. A business can turn obstacles into opportunities with the right skills while keeping a level head.

In many ways, a problem-solving strategy should mirror how a business reviews performance through regular plan reviews. This calls for working through documentation, finding gaps, digging to find root causes and discussing possible options. Without such a process, problem solving cannot be effective or efficient.

Here are 7 steps you can take to create an effective problem-solving strategy.

1. Define the problem clearly

Whenever a problem crops up, it requires evaluating instead of jumping right into creating the solution. Failing to define and evaluate the root cause of the problem leads to the development of a strategy that will not work, as this is equal to just treating the symptoms.

For instance, when the sales numbers from a new customer start dropping, most businesses will rush into creating a marketing master plan to increase brand exposure as a way of driving up sales. While this may work in the short term, it does not solve the root cause of the drop in sales.

Defining the problem ensures you don’t miss the root cause of the symptoms. To do this, you need to look at it from different angles.

• The competition: Is the promotion or pricing of a competitor hurting your sales? Take time to learn who the newest entrants in your niche are, and the strategies they are using to market their business or product. This may be the cause of the issues you are facing. 
• Your business model: Do you have a sustainable business model? You need to ensure that your growth plan is realistic and consider exploring other cost and pricing strategies.
• The market: Determine how world events and the economy are affecting your sales and customers.
• The team: Investigate possible issues affecting the team’s productivity. Equip them with the necessary tools and resources for success. 

2. Think about multiple possible solutions

The success of any problem-solving process is dependent on how well a business can design a solution. The design thinking approach is one of the most used strategies for problem-solving since it helps to see the issue from different perspectives, leading to creating different possible solutions.

For this to be possible, the business needs to involve a wide array of people in the problem-solving process.

3. Conduct a S.W.O.T analysis

A S.W.O.T analysis is an excellent way or any business to have a look at its strengths and weaknesses. For instance, the launch of a groundbreaking product may be a strength, but the low margins can be the weakness.

In a S.W.O.T analysis, a business will need to document all its external opportunities as well as strengths. This analysis is conducted to make it easier for an organization to become more self-aware. It is a strategic planning tool that helps you identify problems before they affect the business. This makes it easier for the organization to develop solutions before the problem actually arises.

4. Gather input from mentors and the team

When conducting analysis, it’s ideal to seek input from your team to get valued ideas, concerns and opinions on the issues the business is facing. The feedback you get from your mentors, and the team can make your moves more efficient and faster in your problem-solving agenda.

Bringing in your team ensures you use their experiences and expertise in your business to dig deeper and navigate all underlying issues that may have caused the problems you are experiencing. You can also use their ideas and input to craft possible solutions.

If you are a solo entrepreneur, you can benefit from gathering input from your mentors. It’s also advisable to connect with trusted business advisors to get a different view of your issues.

Having greater diversity amongst the people you bring into the problem-solving process can improve your chances of coming up with effective long-term solutions.

5. Prioritize potential solutions

When you allow different people to help you come up with different solutions for your problem, you increase the chances of having multiple possible solutions to a common business problem. With all the options you have, you can evaluate each solution's pros and cons and prioritize the best options in the list.

Always remember that no solution is foolproof. Taking time to go through possible solutions while evaluating their pros and cons increases your chances of implementing the best option of them all.

6. Make a decision

To be able to solve a business problem effectively, you need to decide on the solution to implement. The decision-making process involves settling on the right course of action and should be done as soon as possible to avoid further losses. Taking too long to make a decision only gives the problem more time to impact your business negatively.

Once you have possible, reliable solutions, you need to ensure you implement the solution immediately by choosing a solution and sticking to it.  

7. Track progress

The only way to know whether you have successfully solved a problem is by keeping track of the implemented solution. This can be achieved by defining what successful problem-solving looks like and determining how the solution should impact your business.

Some of the questions you can ask when tracking progress include:

• Did it work?
• Was it a good solution?
• Did we learn something through the implementation that can be applied to other potential problems?

The best way to track your progress is by identifying key metrics to track. For instance, you can choose to track your profit margins after implementing a solution. You can tell whether a solution is working by constantly setting and hitting milestones. It’s also important to keep an eye on other business metrics to ensure the solution does not bring rise to other problems. Keeping an eye on the progress will ensure you remain a step ahead of future challenges.

Don’t be afraid of going back to the drawing board to perfect your solution if you identify loopholes that require improvement. Problem solving is a continuous process.

The bottom line

When you are good at problem-solving, you become more valuable in your business, thus setting yourself up for more success. The simple steps highlighted above can make you a more efficient and effective problem solver for your business. Taking time to practice the steps and develop the skills makes the process more natural to you, making future problem solving a breeze.

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Effective Problem-Solving Techniques in Business

Problem solving is an increasingly important soft skill for those in business. The Future of Jobs Survey by the World Economic Forum drives this point home. According to this report, complex problem solving is identified as one of the top 15 skills that will be sought by employers in 2025, along with other soft skills such as analytical thinking, creativity and leadership.

Dr. Amy David , clinical associate professor of management for supply chain and operations management, spoke about business problem-solving methods and how the Purdue University Online MBA program prepares students to be business decision-makers.

Why Are Problem-Solving Skills Essential in Leadership Roles?

Every business will face challenges at some point. Those that are successful will have people in place who can identify and solve problems before the damage is done.

“The business world is constantly changing, and companies need to be able to adapt well in order to produce good results and meet the needs of their customers,” David says. “They also need to keep in mind the triple bottom line of ‘people, profit and planet.’ And these priorities are constantly evolving.”

To that end, David says people in management or leadership need to be able to handle new situations, something that may be outside the scope of their everyday work.

“The name of the game these days is change—and the speed of change—and that means solving new problems on a daily basis,” she says.

The pace of information and technology has also empowered the customer in a new way that provides challenges—or opportunities—for businesses to respond.

“Our customers have a lot more information and a lot more power,” she says. “If you think about somebody having an unhappy experience and tweeting about it, that’s very different from maybe 15 years ago. Back then, if you had a bad experience with a product, you might grumble about it to one or two people.”

David says that this reality changes how quickly organizations need to react and respond to their customers. And taking prompt and decisive action requires solid problem-solving skills.

What Are Some of the Most Effective Problem-Solving Methods?

David says there are a few things to consider when encountering a challenge in business.

“When faced with a problem, are we talking about something that is broad and affects a lot of people? Or is it something that affects a select few? Depending on the issue and situation, you’ll need to use different types of problem-solving strategies,” she says.

Using Techniques

There are a number of techniques that businesses use to problem solve. These can include:

• Five Whys : This approach is helpful when the problem at hand is clear but the underlying causes are less so. By asking “Why?” five times, the final answer should get at the potential root of the problem and perhaps yield a solution.
• Gap Analysis : Companies use gap analyses to compare current performance with expected or desired performance, which will help a company determine how to use its resources differently or adjust expectations.
• Gemba Walk : The name, which is derived from a Japanese word meaning “the real place,” refers to a commonly used technique that allows managers to see what works (and what doesn’t) from the ground up. This is an opportunity for managers to focus on the fundamental elements of the process, identify where the value stream is and determine areas that could use improvement.
• Porter’s Five Forces : Developed by Harvard Business School professor Michael E. Porter, applying the Five Forces is a way for companies to identify competitors for their business or services, and determine how the organization can adjust to stay ahead of the game.
• Six Thinking Hats : In his book of the same name, Dr. Edward de Bono details this method that encourages parallel thinking and attempting to solve a problem by trying on different “thinking hats.” Each color hat signifies a different approach that can be utilized in the problem-solving process, ranging from logic to feelings to creativity and beyond. This method allows organizations to view problems from different angles and perspectives.
• SWOT Analysis : This common strategic planning and management tool helps businesses identify strengths, weaknesses, opportunities and threats (SWOT).

“We have a lot of these different tools,” David says. “Which one to use when is going to be dependent on the problem itself, the level of the stakeholders, the number of different stakeholder groups and so on.”

Each of the techniques outlined above uses the same core steps of problem solving:

• Identify and define the problem
• Consider possible solutions
• Evaluate options
• Choose the best solution
• Implement the solution
• Evaluate the outcome

Data drives a lot of daily decisions in business and beyond. Analytics have also been deployed to problem solve.

“We have specific classes around storytelling with data and how you convince your audience to understand what the data is,” David says. “Your audience has to trust the data, and only then can you use it for real decision-making.”

Data can be a powerful tool for identifying larger trends and making informed decisions when it’s clearly understood and communicated. It’s also vital for performance monitoring and optimization.

How Is Problem Solving Prioritized in Purdue’s Online MBA?

The courses in the Purdue Online MBA program teach problem-solving methods to students, keeping them up to date with the latest techniques and allowing them to apply their knowledge to business-related scenarios.

“I can give you a model or a tool, but most of the time, a real-world situation is going to be a lot messier and more valuable than what we’ve seen in a textbook,” David says. “Asking students to take what they know and apply it to a case where there’s not one single correct answer is a big part of the learning experience.”

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An online MBA from Purdue University can help advance your career by teaching you problem-solving skills, decision-making strategies and more. Reach out today to learn more about earning an online MBA with Purdue University .

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The Art of Effective Problem Solving: A Step-by-Step Guide

Whether we realise it or not, problem solving skills are an important part of our daily lives. From resolving a minor annoyance at home to tackling complex business challenges at work, our ability to solve problems has a significant impact on our success and happiness. However, not everyone is naturally gifted at problem-solving, and even those who are can always improve their skills. In this blog post, we will go over the art of effective problem-solving step by step.

Problem Solving Methodologies

Methodology of 8D (Eight Discipline) Problem Solving:

A3 Problem Solving Method:

The A3 problem solving technique is a visual, team-based problem-solving approach that is frequently used in Lean Six Sigma projects. The A3 report is a one-page document that clearly and concisely outlines the problem, root cause analysis, and proposed solution.

Subsequently, in the Lean Six Sigma framework, the 8D and A3 problem solving methodologies are two popular approaches to problem solving. Both methodologies provide a structured, team-based problem-solving approach that guides individuals through a comprehensive and systematic process of identifying, analysing, and resolving problems in an effective and efficient manner.

Step 1 – Define the Problem

By repeatedly asking “ why ,” you’ll eventually get to the bottom of the problem. This is an important step in the problem-solving process because it ensures that you’re dealing with the root cause rather than just the symptoms.

Step 2 – Gather Information and Brainstorm Ideas

Gathering information and brainstorming ideas is the next step in effective problem solving. This entails researching the problem and relevant information, collaborating with others, and coming up with a variety of potential solutions. This increases your chances of finding the best solution to the problem.

Next, work with others to gather a variety of perspectives. Brainstorming with others can be an excellent way to come up with new and creative ideas. Encourage everyone to share their thoughts and ideas when working in a group, and make an effort to actively listen to what others have to say. Be open to new and unconventional ideas and resist the urge to dismiss them too quickly.

Step 3 – Evaluate Options and Choose the Best Solution

Once you’ve compiled a list of potential solutions, it’s time to assess them and select the best one. This is the third step in effective problem solving, and it entails weighing the advantages and disadvantages of each solution, considering their feasibility and practicability, and selecting the solution that is most likely to solve the problem effectively.

You’ll be able to tell which solutions are likely to succeed and which aren’t by assessing their feasibility and practicability.

Step 4 – Implement and Monitor the Solution

When you’ve decided on the best solution, it’s time to put it into action. The fourth and final step in effective problem solving is to put the solution into action, monitor its progress, and make any necessary adjustments.

Finally, make any necessary modifications to the solution. This could entail changing the solution, altering the plan of action, or delegating different tasks. Be willing to make changes if they will improve the solution or help it solve the problem more effectively.

You can increase your chances of success in problem solving by following these steps and considering factors such as the pros and cons of each solution, their feasibility and practicability, and making any necessary adjustments. Furthermore, keep in mind that problem solving is an iterative process, and there may be times when you need to go back to the beginning and restart. Maintain your adaptability and try new solutions until you find the one that works best for you.

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How to master the seven-step problem-solving process

In this episode of the McKinsey Podcast , Simon London speaks with Charles Conn, CEO of venture-capital firm Oxford Sciences Innovation, and McKinsey senior partner Hugo Sarrazin about the complexities of different problem-solving strategies.

Podcast transcript

Simon London: Hello, and welcome to this episode of the McKinsey Podcast , with me, Simon London. What’s the number-one skill you need to succeed professionally? Salesmanship, perhaps? Or a facility with statistics? Or maybe the ability to communicate crisply and clearly? Many would argue that at the very top of the list comes problem solving: that is, the ability to think through and come up with an optimal course of action to address any complex challenge—in business, in public policy, or indeed in life.

Looked at this way, it’s no surprise that McKinsey takes problem solving very seriously, testing for it during the recruiting process and then honing it, in McKinsey consultants, through immersion in a structured seven-step method. To discuss the art of problem solving, I sat down in California with McKinsey senior partner Hugo Sarrazin and also with Charles Conn. Charles is a former McKinsey partner, entrepreneur, executive, and coauthor of the book Bulletproof Problem Solving: The One Skill That Changes Everything [John Wiley & Sons, 2018].

Charles and Hugo, welcome to the podcast. Thank you for being here.

Hugo Sarrazin: Our pleasure.

Charles Conn: It’s terrific to be here.

Simon London: Problem solving is a really interesting piece of terminology. It could mean so many different things. I have a son who’s a teenage climber. They talk about solving problems. Climbing is problem solving. Charles, when you talk about problem solving, what are you talking about?

Charles Conn: For me, problem solving is the answer to the question “What should I do?” It’s interesting when there’s uncertainty and complexity, and when it’s meaningful because there are consequences. Your son’s climbing is a perfect example. There are consequences, and it’s complicated, and there’s uncertainty—can he make that grab? I think we can apply that same frame almost at any level. You can think about questions like “What town would I like to live in?” or “Should I put solar panels on my roof?”

You might think that’s a funny thing to apply problem solving to, but in my mind it’s not fundamentally different from business problem solving, which answers the question “What should my strategy be?” Or problem solving at the policy level: “How do we combat climate change?” “Should I support the local school bond?” I think these are all part and parcel of the same type of question, “What should I do?”

I’m a big fan of structured problem solving. By following steps, we can more clearly understand what problem it is we’re solving, what are the components of the problem that we’re solving, which components are the most important ones for us to pay attention to, which analytic techniques we should apply to those, and how we can synthesize what we’ve learned back into a compelling story. That’s all it is, at its heart.

I think sometimes when people think about seven steps, they assume that there’s a rigidity to this. That’s not it at all. It’s actually to give you the scope for creativity, which often doesn’t exist when your problem solving is muddled.

Simon London: You were just talking about the seven-step process. That’s what’s written down in the book, but it’s a very McKinsey process as well. Without getting too deep into the weeds, let’s go through the steps, one by one. You were just talking about problem definition as being a particularly important thing to get right first. That’s the first step. Hugo, tell us about that.

Hugo Sarrazin: It is surprising how often people jump past this step and make a bunch of assumptions. The most powerful thing is to step back and ask the basic questions—“What are we trying to solve? What are the constraints that exist? What are the dependencies?” Let’s make those explicit and really push the thinking and defining. At McKinsey, we spend an enormous amount of time in writing that little statement, and the statement, if you’re a logic purist, is great. You debate. “Is it an ‘or’? Is it an ‘and’? What’s the action verb?” Because all these specific words help you get to the heart of what matters.

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Simon London: So this is a concise problem statement.

Hugo Sarrazin: Yeah. It’s not like “Can we grow in Japan?” That’s interesting, but it is “What, specifically, are we trying to uncover in the growth of a product in Japan? Or a segment in Japan? Or a channel in Japan?” When you spend an enormous amount of time, in the first meeting of the different stakeholders, debating this and having different people put forward what they think the problem definition is, you realize that people have completely different views of why they’re here. That, to me, is the most important step.

Charles Conn: I would agree with that. For me, the problem context is critical. When we understand “What are the forces acting upon your decision maker? How quickly is the answer needed? With what precision is the answer needed? Are there areas that are off limits or areas where we would particularly like to find our solution? Is the decision maker open to exploring other areas?” then you not only become more efficient, and move toward what we call the critical path in problem solving, but you also make it so much more likely that you’re not going to waste your time or your decision maker’s time.

How often do especially bright young people run off with half of the idea about what the problem is and start collecting data and start building models—only to discover that they’ve really gone off half-cocked.

Hugo Sarrazin: Yeah.

Charles Conn: And in the wrong direction.

Simon London: OK. So step one—and there is a real art and a structure to it—is define the problem. Step two, Charles?

Charles Conn: My favorite step is step two, which is to use logic trees to disaggregate the problem. Every problem we’re solving has some complexity and some uncertainty in it. The only way that we can really get our team working on the problem is to take the problem apart into logical pieces.

What we find, of course, is that the way to disaggregate the problem often gives you an insight into the answer to the problem quite quickly. I love to do two or three different cuts at it, each one giving a bit of a different insight into what might be going wrong. By doing sensible disaggregations, using logic trees, we can figure out which parts of the problem we should be looking at, and we can assign those different parts to team members.

Simon London: What’s a good example of a logic tree on a sort of ratable problem?

Charles Conn: Maybe the easiest one is the classic profit tree. Almost in every business that I would take a look at, I would start with a profit or return-on-assets tree. In its simplest form, you have the components of revenue, which are price and quantity, and the components of cost, which are cost and quantity. Each of those can be broken out. Cost can be broken into variable cost and fixed cost. The components of price can be broken into what your pricing scheme is. That simple tree often provides insight into what’s going on in a business or what the difference is between that business and the competitors.

If we add the leg, which is “What’s the asset base or investment element?”—so profit divided by assets—then we can ask the question “Is the business using its investments sensibly?” whether that’s in stores or in manufacturing or in transportation assets. I hope we can see just how simple this is, even though we’re describing it in words.

When I went to work with Gordon Moore at the Moore Foundation, the problem that he asked us to look at was “How can we save Pacific salmon?” Now, that sounds like an impossible question, but it was amenable to precisely the same type of disaggregation and allowed us to organize what became a 15-year effort to improve the likelihood of good outcomes for Pacific salmon.

Simon London: Now, is there a danger that your logic tree can be impossibly large? This, I think, brings us onto the third step in the process, which is that you have to prioritize.

Charles Conn: Absolutely. The third step, which we also emphasize, along with good problem definition, is rigorous prioritization—we ask the questions “How important is this lever or this branch of the tree in the overall outcome that we seek to achieve? How much can I move that lever?” Obviously, we try and focus our efforts on ones that have a big impact on the problem and the ones that we have the ability to change. With salmon, ocean conditions turned out to be a big lever, but not one that we could adjust. We focused our attention on fish habitats and fish-harvesting practices, which were big levers that we could affect.

People spend a lot of time arguing about branches that are either not important or that none of us can change. We see it in the public square. When we deal with questions at the policy level—“Should you support the death penalty?” “How do we affect climate change?” “How can we uncover the causes and address homelessness?”—it’s even more important that we’re focusing on levers that are big and movable.

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Simon London: Let’s move swiftly on to step four. You’ve defined your problem, you disaggregate it, you prioritize where you want to analyze—what you want to really look at hard. Then you got to the work plan. Now, what does that mean in practice?

Hugo Sarrazin: Depending on what you’ve prioritized, there are many things you could do. It could be breaking the work among the team members so that people have a clear piece of the work to do. It could be defining the specific analyses that need to get done and executed, and being clear on time lines. There’s always a level-one answer, there’s a level-two answer, there’s a level-three answer. Without being too flippant, I can solve any problem during a good dinner with wine. It won’t have a whole lot of backing.

Simon London: Not going to have a lot of depth to it.

Hugo Sarrazin: No, but it may be useful as a starting point. If the stakes are not that high, that could be OK. If it’s really high stakes, you may need level three and have the whole model validated in three different ways. You need to find a work plan that reflects the level of precision, the time frame you have, and the stakeholders you need to bring along in the exercise.

Charles Conn: I love the way you’ve described that, because, again, some people think of problem solving as a linear thing, but of course what’s critical is that it’s iterative. As you say, you can solve the problem in one day or even one hour.

Charles Conn: We encourage our teams everywhere to do that. We call it the one-day answer or the one-hour answer. In work planning, we’re always iterating. Every time you see a 50-page work plan that stretches out to three months, you know it’s wrong. It will be outmoded very quickly by that learning process that you described. Iterative problem solving is a critical part of this. Sometimes, people think work planning sounds dull, but it isn’t. It’s how we know what’s expected of us and when we need to deliver it and how we’re progressing toward the answer. It’s also the place where we can deal with biases. Bias is a feature of every human decision-making process. If we design our team interactions intelligently, we can avoid the worst sort of biases.

Simon London: Here we’re talking about cognitive biases primarily, right? It’s not that I’m biased against you because of your accent or something. These are the cognitive biases that behavioral sciences have shown we all carry around, things like anchoring, overoptimism—these kinds of things.

Both: Yeah.

Charles Conn: Availability bias is the one that I’m always alert to. You think you’ve seen the problem before, and therefore what’s available is your previous conception of it—and we have to be most careful about that. In any human setting, we also have to be careful about biases that are based on hierarchies, sometimes called sunflower bias. I’m sure, Hugo, with your teams, you make sure that the youngest team members speak first. Not the oldest team members, because it’s easy for people to look at who’s senior and alter their own creative approaches.

Hugo Sarrazin: It’s helpful, at that moment—if someone is asserting a point of view—to ask the question “This was true in what context?” You’re trying to apply something that worked in one context to a different one. That can be deadly if the context has changed, and that’s why organizations struggle to change. You promote all these people because they did something that worked well in the past, and then there’s a disruption in the industry, and they keep doing what got them promoted even though the context has changed.

Simon London: Right. Right.

Hugo Sarrazin: So it’s the same thing in problem solving.

Charles Conn: And it’s why diversity in our teams is so important. It’s one of the best things about the world that we’re in now. We’re likely to have people from different socioeconomic, ethnic, and national backgrounds, each of whom sees problems from a slightly different perspective. It is therefore much more likely that the team will uncover a truly creative and clever approach to problem solving.

Simon London: Let’s move on to step five. You’ve done your work plan. Now you’ve actually got to do the analysis. The thing that strikes me here is that the range of tools that we have at our disposal now, of course, is just huge, particularly with advances in computation, advanced analytics. There’s so many things that you can apply here. Just talk about the analysis stage. How do you pick the right tools?

Charles Conn: For me, the most important thing is that we start with simple heuristics and explanatory statistics before we go off and use the big-gun tools. We need to understand the shape and scope of our problem before we start applying these massive and complex analytical approaches.

Simon London: Would you agree with that?

Hugo Sarrazin: I agree. I think there are so many wonderful heuristics. You need to start there before you go deep into the modeling exercise. There’s an interesting dynamic that’s happening, though. In some cases, for some types of problems, it is even better to set yourself up to maximize your learning. Your problem-solving methodology is test and learn, test and learn, test and learn, and iterate. That is a heuristic in itself, the A/B testing that is used in many parts of the world. So that’s a problem-solving methodology. It’s nothing different. It just uses technology and feedback loops in a fast way. The other one is exploratory data analysis. When you’re dealing with a large-scale problem, and there’s so much data, I can get to the heuristics that Charles was talking about through very clever visualization of data.

You test with your data. You need to set up an environment to do so, but don’t get caught up in neural-network modeling immediately. You’re testing, you’re checking—“Is the data right? Is it sound? Does it make sense?”—before you launch too far.

Simon London: You do hear these ideas—that if you have a big enough data set and enough algorithms, they’re going to find things that you just wouldn’t have spotted, find solutions that maybe you wouldn’t have thought of. Does machine learning sort of revolutionize the problem-solving process? Or are these actually just other tools in the toolbox for structured problem solving?

Charles Conn: It can be revolutionary. There are some areas in which the pattern recognition of large data sets and good algorithms can help us see things that we otherwise couldn’t see. But I do think it’s terribly important we don’t think that this particular technique is a substitute for superb problem solving, starting with good problem definition. Many people use machine learning without understanding algorithms that themselves can have biases built into them. Just as 20 years ago, when we were doing statistical analysis, we knew that we needed good model definition, we still need a good understanding of our algorithms and really good problem definition before we launch off into big data sets and unknown algorithms.

Simon London: Step six. You’ve done your analysis.

Charles Conn: I take six and seven together, and this is the place where young problem solvers often make a mistake. They’ve got their analysis, and they assume that’s the answer, and of course it isn’t the answer. The ability to synthesize the pieces that came out of the analysis and begin to weave those into a story that helps people answer the question “What should I do?” This is back to where we started. If we can’t synthesize, and we can’t tell a story, then our decision maker can’t find the answer to “What should I do?”

Simon London: But, again, these final steps are about motivating people to action, right?

Charles Conn: Yeah.

Simon London: I am slightly torn about the nomenclature of problem solving because it’s on paper, right? Until you motivate people to action, you actually haven’t solved anything.

Charles Conn: I love this question because I think decision-making theory, without a bias to action, is a waste of time. Everything in how I approach this is to help people take action that makes the world better.

Simon London: Hence, these are absolutely critical steps. If you don’t do this well, you’ve just got a bunch of analysis.

Charles Conn: We end up in exactly the same place where we started, which is people speaking across each other, past each other in the public square, rather than actually working together, shoulder to shoulder, to crack these important problems.

Simon London: In the real world, we have a lot of uncertainty—arguably, increasing uncertainty. How do good problem solvers deal with that?

Hugo Sarrazin: At every step of the process. In the problem definition, when you’re defining the context, you need to understand those sources of uncertainty and whether they’re important or not important. It becomes important in the definition of the tree.

You need to think carefully about the branches of the tree that are more certain and less certain as you define them. They don’t have equal weight just because they’ve got equal space on the page. Then, when you’re prioritizing, your prioritization approach may put more emphasis on things that have low probability but huge impact—or, vice versa, may put a lot of priority on things that are very likely and, hopefully, have a reasonable impact. You can introduce that along the way. When you come back to the synthesis, you just need to be nuanced about what you’re understanding, the likelihood.

Often, people lack humility in the way they make their recommendations: “This is the answer.” They’re very precise, and I think we would all be well-served to say, “This is a likely answer under the following sets of conditions” and then make the level of uncertainty clearer, if that is appropriate. It doesn’t mean you’re always in the gray zone; it doesn’t mean you don’t have a point of view. It just means that you can be explicit about the certainty of your answer when you make that recommendation.

Simon London: So it sounds like there is an underlying principle: “Acknowledge and embrace the uncertainty. Don’t pretend that it isn’t there. Be very clear about what the uncertainties are up front, and then build that into every step of the process.”

Hugo Sarrazin: Every step of the process.

Simon London: Yeah. We have just walked through a particular structured methodology for problem solving. But, of course, this is not the only structured methodology for problem solving. One that is also very well-known is design thinking, which comes at things very differently. So, Hugo, I know you have worked with a lot of designers. Just give us a very quick summary. Design thinking—what is it, and how does it relate?

Hugo Sarrazin: It starts with an incredible amount of empathy for the user and uses that to define the problem. It does pause and go out in the wild and spend an enormous amount of time seeing how people interact with objects, seeing the experience they’re getting, seeing the pain points or joy—and uses that to infer and define the problem.

Simon London: Problem definition, but out in the world.

Hugo Sarrazin: With an enormous amount of empathy. There’s a huge emphasis on empathy. Traditional, more classic problem solving is you define the problem based on an understanding of the situation. This one almost presupposes that we don’t know the problem until we go see it. The second thing is you need to come up with multiple scenarios or answers or ideas or concepts, and there’s a lot of divergent thinking initially. That’s slightly different, versus the prioritization, but not for long. Eventually, you need to kind of say, “OK, I’m going to converge again.” Then you go and you bring things back to the customer and get feedback and iterate. Then you rinse and repeat, rinse and repeat. There’s a lot of tactile building, along the way, of prototypes and things like that. It’s very iterative.

Simon London: So, Charles, are these complements or are these alternatives?

Charles Conn: I think they’re entirely complementary, and I think Hugo’s description is perfect. When we do problem definition well in classic problem solving, we are demonstrating the kind of empathy, at the very beginning of our problem, that design thinking asks us to approach. When we ideate—and that’s very similar to the disaggregation, prioritization, and work-planning steps—we do precisely the same thing, and often we use contrasting teams, so that we do have divergent thinking. The best teams allow divergent thinking to bump them off whatever their initial biases in problem solving are. For me, design thinking gives us a constant reminder of creativity, empathy, and the tactile nature of problem solving, but it’s absolutely complementary, not alternative.

Simon London: I think, in a world of cross-functional teams, an interesting question is do people with design-thinking backgrounds really work well together with classical problem solvers? How do you make that chemistry happen?

Hugo Sarrazin: Yeah, it is not easy when people have spent an enormous amount of time seeped in design thinking or user-centric design, whichever word you want to use. If the person who’s applying classic problem-solving methodology is very rigid and mechanical in the way they’re doing it, there could be an enormous amount of tension. If there’s not clarity in the role and not clarity in the process, I think having the two together can be, sometimes, problematic.

The second thing that happens often is that the artifacts the two methodologies try to gravitate toward can be different. Classic problem solving often gravitates toward a model; design thinking migrates toward a prototype. Rather than writing a big deck with all my supporting evidence, they’ll bring an example, a thing, and that feels different. Then you spend your time differently to achieve those two end products, so that’s another source of friction.

Now, I still think it can be an incredibly powerful thing to have the two—if there are the right people with the right mind-set, if there is a team that is explicit about the roles, if we’re clear about the kind of outcomes we are attempting to bring forward. There’s an enormous amount of collaborativeness and respect.

Simon London: But they have to respect each other’s methodology and be prepared to flex, maybe, a little bit, in how this process is going to work.

Hugo Sarrazin: Absolutely.

Simon London: The other area where, it strikes me, there could be a little bit of a different sort of friction is this whole concept of the day-one answer, which is what we were just talking about in classical problem solving. Now, you know that this is probably not going to be your final answer, but that’s how you begin to structure the problem. Whereas I would imagine your design thinkers—no, they’re going off to do their ethnographic research and get out into the field, potentially for a long time, before they come back with at least an initial hypothesis.

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Hugo Sarrazin: That is a great callout, and that’s another difference. Designers typically will like to soak into the situation and avoid converging too quickly. There’s optionality and exploring different options. There’s a strong belief that keeps the solution space wide enough that you can come up with more radical ideas. If there’s a large design team or many designers on the team, and you come on Friday and say, “What’s our week-one answer?” they’re going to struggle. They’re not going to be comfortable, naturally, to give that answer. It doesn’t mean they don’t have an answer; it’s just not where they are in their thinking process.

Simon London: I think we are, sadly, out of time for today. But Charles and Hugo, thank you so much.

Charles Conn: It was a pleasure to be here, Simon.

Hugo Sarrazin: It was a pleasure. Thank you.

Simon London: And thanks, as always, to you, our listeners, for tuning into this episode of the McKinsey Podcast . If you want to learn more about problem solving, you can find the book, Bulletproof Problem Solving: The One Skill That Changes Everything , online or order it through your local bookstore. To learn more about McKinsey, you can of course find us at McKinsey.com.

Charles Conn is CEO of Oxford Sciences Innovation and an alumnus of McKinsey’s Sydney office. Hugo Sarrazin is a senior partner in the Silicon Valley office, where Simon London, a member of McKinsey Publishing, is also based.

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What Is Problem-Solving? How to Use Problem-Solving Skills to Resolve Issues

Great businesses don’t exist to simply grow and make money. Instead, they solve the world’s problems , from tiny issues to giant dilemmas. Problem-solving is essentially the main function of organizations. An effective organization will have systems and processes in place to reach their goals and solve problems. If a company has team members and leaders who have poor problem-solving skills, that means they’re ineffective at one of the core functions of a business.

What Is Problem-Solving?

What is the general process of problem-solving, 1. define the problem, 2. brainstorm possible solutions, 3. research several options.

After you’ve come up with several possible alternative solutions, pick two or three that seem the most promising using your analytical skills. Then you’ll need to buckle down and do some research to see which one to pursue. Conduct your research using primary and secondary resources.

4. Select a Solution

In order to make the most objective decision:

5. Develop an Action Plan

When the right choice is made, and the solution is placed into the overall strategy, start developing an action plan . Lay out the “who,” “what,” “when,” “why,” and “how.” Visualize exactly what success looks like with this new plan. When working through the problem-solving process, write all the details down. This helps leaders construct action items and delegate them accordingly. Never leave this part of the process empty-handed. Your team needs a clear picture of expectations so they can properly implement the solution. And if everything works, you can use this problem-solving model in the future.

The Best Problem-Solving Strategies and Tools

One of the best ways to discover the root cause of a problem is by utilizing the 5 Whys method. This strategy was developed by Sakichi Toyoda, founder of Toyota Industries. It’s as simple as it sounds. When a problem occurs, ask why it happened five times. In theory, the last answer should get to the heart of the issue.

First Principles Thinking

When one engages in first principles thinking , they end up questioning what everyone just assumes to be true. It effectively removes those assumptions , breaking things down into their most basic elements that are probably true. It’s all about getting to that core foundation of truth and building out from there. Problem-solving skills should always include first principles thinking.

Steve Jobs’ Problem-Solving Method

What to do when a problem feels too big to solve.

Tackling a problem that feels too big to solve requires a can-do, positive mindset. In order to improve your problem-solving, you’ll need to take remember these steps. Imagine what is possible instead of focusing on what seems impossible. As you do so, you’ll become skilled in solving all sorts of problems while also improving your decision-making.

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What Is Creative Problem-Solving & Why Is It Important?

• 01 Feb 2022

One of the biggest hindrances to innovation is complacency—it can be more comfortable to do what you know than venture into the unknown. Business leaders can overcome this barrier by mobilizing creative team members and providing space to innovate.

There are several tools you can use to encourage creativity in the workplace. Creative problem-solving is one of them, which facilitates the development of innovative solutions to difficult problems.

Here’s an overview of creative problem-solving and why it’s important in business.

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What Is Creative Problem-Solving?

Research is necessary when solving a problem. But there are situations where a problem’s specific cause is difficult to pinpoint. This can occur when there’s not enough time to narrow down the problem’s source or there are differing opinions about its root cause.

In such cases, you can use creative problem-solving , which allows you to explore potential solutions regardless of whether a problem has been defined.

Creative problem-solving is less structured than other innovation processes and encourages exploring open-ended solutions. It also focuses on developing new perspectives and fostering creativity in the workplace . Its benefits include:

• Finding creative solutions to complex problems : User research can insufficiently illustrate a situation’s complexity. While other innovation processes rely on this information, creative problem-solving can yield solutions without it.
• Adapting to change : Business is constantly changing, and business leaders need to adapt. Creative problem-solving helps overcome unforeseen challenges and find solutions to unconventional problems.
• Fueling innovation and growth : In addition to solutions, creative problem-solving can spark innovative ideas that drive company growth. These ideas can lead to new product lines, services, or a modified operations structure that improves efficiency.

Creative problem-solving is traditionally based on the following key principles :

1. Balance Divergent and Convergent Thinking

Creative problem-solving uses two primary tools to find solutions: divergence and convergence. Divergence generates ideas in response to a problem, while convergence narrows them down to a shortlist. It balances these two practices and turns ideas into concrete solutions.

2. Reframe Problems as Questions

By framing problems as questions, you shift from focusing on obstacles to solutions. This provides the freedom to brainstorm potential ideas.

3. Defer Judgment of Ideas

When brainstorming, it can be natural to reject or accept ideas right away. Yet, immediate judgments interfere with the idea generation process. Even ideas that seem implausible can turn into outstanding innovations upon further exploration and development.

4. Focus on "Yes, And" Instead of "No, But"

Using negative words like "no" discourages creative thinking. Instead, use positive language to build and maintain an environment that fosters the development of creative and innovative ideas.

Creative Problem-Solving and Design Thinking

Whereas creative problem-solving facilitates developing innovative ideas through a less structured workflow, design thinking takes a far more organized approach.

Design thinking is a human-centered, solutions-based process that fosters the ideation and development of solutions. In the online course Design Thinking and Innovation , Harvard Business School Dean Srikant Datar leverages a four-phase framework to explain design thinking.

The four stages are:

• Clarify: The clarification stage allows you to empathize with the user and identify problems. Observations and insights are informed by thorough research. Findings are then reframed as problem statements or questions.
• Ideate: Ideation is the process of coming up with innovative ideas. The divergence of ideas involved with creative problem-solving is a major focus.
• Develop: In the development stage, ideas evolve into experiments and tests. Ideas converge and are explored through prototyping and open critique.
• Implement: Implementation involves continuing to test and experiment to refine the solution and encourage its adoption.

Creative problem-solving primarily operates in the ideate phase of design thinking but can be applied to others. This is because design thinking is an iterative process that moves between the stages as ideas are generated and pursued. This is normal and encouraged, as innovation requires exploring multiple ideas.

Creative Problem-Solving Tools

While there are many useful tools in the creative problem-solving process, here are three you should know:

Creating a Problem Story

One way to innovate is by creating a story about a problem to understand how it affects users and what solutions best fit their needs. Here are the steps you need to take to use this tool properly.

1. Identify a UDP

Create a problem story to identify the undesired phenomena (UDP). For example, consider a company that produces printers that overheat. In this case, the UDP is "our printers overheat."

2. Move Forward in Time

To move forward in time, ask: “Why is this a problem?” For example, minor damage could be one result of the machines overheating. In more extreme cases, printers may catch fire. Don't be afraid to create multiple problem stories if you think of more than one UDP.

3. Move Backward in Time

To move backward in time, ask: “What caused this UDP?” If you can't identify the root problem, think about what typically causes the UDP to occur. For the overheating printers, overuse could be a cause.

Following the three-step framework above helps illustrate a clear problem story:

• The printer is overused.
• The printer overheats.
• The printer breaks down.

You can extend the problem story in either direction if you think of additional cause-and-effect relationships.

4. Break the Chains

By this point, you’ll have multiple UDP storylines. Take two that are similar and focus on breaking the chains connecting them. This can be accomplished through inversion or neutralization.

• Inversion: Inversion changes the relationship between two UDPs so the cause is the same but the effect is the opposite. For example, if the UDP is "the more X happens, the more likely Y is to happen," inversion changes the equation to "the more X happens, the less likely Y is to happen." Using the printer example, inversion would consider: "What if the more a printer is used, the less likely it’s going to overheat?" Innovation requires an open mind. Just because a solution initially seems unlikely doesn't mean it can't be pursued further or spark additional ideas.
• Neutralization: Neutralization completely eliminates the cause-and-effect relationship between X and Y. This changes the above equation to "the more or less X happens has no effect on Y." In the case of the printers, neutralization would rephrase the relationship to "the more or less a printer is used has no effect on whether it overheats."

Even if creating a problem story doesn't provide a solution, it can offer useful context to users’ problems and additional ideas to be explored. Given that divergence is one of the fundamental practices of creative problem-solving, it’s a good idea to incorporate it into each tool you use.

Brainstorming

Brainstorming is a tool that can be highly effective when guided by the iterative qualities of the design thinking process. It involves openly discussing and debating ideas and topics in a group setting. This facilitates idea generation and exploration as different team members consider the same concept from multiple perspectives.

Hosting brainstorming sessions can result in problems, such as groupthink or social loafing. To combat this, leverage a three-step brainstorming method involving divergence and convergence :

• Have each group member come up with as many ideas as possible and write them down to ensure the brainstorming session is productive.
• Continue the divergence of ideas by collectively sharing and exploring each idea as a group. The goal is to create a setting where new ideas are inspired by open discussion.
• Begin the convergence of ideas by narrowing them down to a few explorable options. There’s no "right number of ideas." Don't be afraid to consider exploring all of them, as long as you have the resources to do so.

Alternate Worlds

The alternate worlds tool is an empathetic approach to creative problem-solving. It encourages you to consider how someone in another world would approach your situation.

For example, if you’re concerned that the printers you produce overheat and catch fire, consider how a different industry would approach the problem. How would an automotive expert solve it? How would a firefighter?

Be creative as you consider and research alternate worlds. The purpose is not to nail down a solution right away but to continue the ideation process through diverging and exploring ideas.

Continue Developing Your Skills

Whether you’re an entrepreneur, marketer, or business leader, learning the ropes of design thinking can be an effective way to build your skills and foster creativity and innovation in any setting.

If you're ready to develop your design thinking and creative problem-solving skills, explore Design Thinking and Innovation , one of our online entrepreneurship and innovation courses. If you aren't sure which course is the right fit, download our free course flowchart to determine which best aligns with your goals.

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9 Keys to Solving Problems in Business Quickly and Effectively

Problem-solving in business takes self-discipline and focus, but is a skill that must be learned..

Creating a new business , or working in an existing one, is all about problem solving. Some people are good at it and some are not -  independent of their IQ  or their book smarts (there may even be an inverse relationship here). Yet I'm convinced that problem-solving is a  learnable trait , rather than just a birthright.

Business owners who are great problem solvers within any business are the best prepared to solve their customers' needs effectively as well. In fact, every business is about solutions to customer problems - no problems, no business. Problems are an everyday part of every business and personal environment.

Thus it behooves all of us to work on mastering the discipline of problem solving. Here is a formula from Brian Tracy, in his classic book No Excuses! The Power of Self-Discipline  that I believe will help business professionals move up a notch in this category:

1. Take the time to define the problem clearly. 

Many business leaders like to jump into solution mode immediately, even before they understand the issue. In some cases, a small problem can become a big one if you attack it with inappropriate actions. In all cases, real clarity will expedite the path ahead. 

2. Pursue alternate paths on "facts of life" and opportunities. 

Remember, there are some things that you can do nothing about. They're not problems; they are merely facts of life, like natural disasters. Often, what appears to be a problem is actually an opportunity in disguise. 

3. Challenge the definition from all angles. 

Beware of any problem for which there is only one definition. The more ways you can define a problem, the more likely it is that you will find the best solution. For example, "sales are too low" may mean strong competitors, ineffective advertising, or a poor sales process. 

4. Iteratively question the cause of the problem. 

This is all about finding the root cause, rather than treating a symptom. If you don't get to the root, the problem will likely recur, perhaps with different symptoms. Don't waste time re-solving the same problem. 

5. Identify multiple possible solutions. 

The more possible solutions you develop, the more likely you will come up with the right one. The quality of the solution seems to be in direct proportion to the quantity of solutions considered in problem-solving. 

6. Prioritize potential solutions. 

An acceptable solution, doable now, is usually superior to an excellent solution with higher complexity, longer timeframe, and higher cost. There is a rule that says that every large problem was once a small problem that could have been solved easily at that time. 

7. Make a decision. 

Select a solution, any solution, and then decide on a course of action. The longer you put off deciding on what to do, the higher the cost, and the larger the impact. Your objective should be to deal with 80 percent of all problems immediately. At the very least, set a specific deadline for making a decision and stick to it. 

8. Assign responsibility. 

Who exactly is going to carry out the solution or the different elements of the solution? Otherwise, nothing will happen, and you have no recourse but to implement all solutions yourself. 

9. Set a measure for the solution. 

Otherwise, you will have no way of knowing when and whether the problem was solved. Problem solutions in a complex system often have unintended side effects which can be worse than the original problem. 

People who are good at problem-solving are some of the most valuable and respected people in every area. In fact, success is often defined as the ability to solve problems. In many cultures, this is called street smarts , and it's valued even more than book smarts. The best business professionals have both.

A refreshed look at leadership from the desk of CEO and chief content officer Stephanie Mehta

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What is Problem Solving? (Steps, Techniques, Examples)

By Status.net Editorial Team on May 7, 2023 — 5 minutes to read

What Is Problem Solving?

Definition and importance.

Problem solving is the process of finding solutions to obstacles or challenges you encounter in your life or work. It is a crucial skill that allows you to tackle complex situations, adapt to changes, and overcome difficulties with ease. Mastering this ability will contribute to both your personal and professional growth, leading to more successful outcomes and better decision-making.

Problem-Solving Steps

The problem-solving process typically includes the following steps:

• Identify the issue : Recognize the problem that needs to be solved.
• Analyze the situation : Examine the issue in depth, gather all relevant information, and consider any limitations or constraints that may be present.
• Generate potential solutions : Brainstorm a list of possible solutions to the issue, without immediately judging or evaluating them.
• Evaluate options : Weigh the pros and cons of each potential solution, considering factors such as feasibility, effectiveness, and potential risks.
• Select the best solution : Choose the option that best addresses the problem and aligns with your objectives.
• Implement the solution : Put the selected solution into action and monitor the results to ensure it resolves the issue.
• Review and learn : Reflect on the problem-solving process, identify any improvements or adjustments that can be made, and apply these learnings to future situations.

Defining the Problem

To start tackling a problem, first, identify and understand it. Analyzing the issue thoroughly helps to clarify its scope and nature. Ask questions to gather information and consider the problem from various angles. Some strategies to define the problem include:

• Brainstorming with others
• Asking the 5 Ws and 1 H (Who, What, When, Where, Why, and How)
• Analyzing cause and effect
• Creating a problem statement

Generating Solutions

Once the problem is clearly understood, brainstorm possible solutions. Think creatively and keep an open mind, as well as considering lessons from past experiences. Consider:

• Creating a list of potential ideas to solve the problem
• Grouping and categorizing similar solutions
• Prioritizing potential solutions based on feasibility, cost, and resources required
• Involving others to share diverse opinions and inputs

Evaluating and Selecting Solutions

Evaluate each potential solution, weighing its pros and cons. To facilitate decision-making, use techniques such as:

• SWOT analysis (Strengths, Weaknesses, Opportunities, Threats)
• Decision-making matrices
• Pros and cons lists
• Risk assessments

After evaluating, choose the most suitable solution based on effectiveness, cost, and time constraints.

Implementing and Monitoring the Solution

Implement the chosen solution and monitor its progress. Key actions include:

• Communicating the solution to relevant parties
• Setting timelines and milestones
• Assigning tasks and responsibilities
• Monitoring the solution and making adjustments as necessary
• Evaluating the effectiveness of the solution after implementation

Utilize feedback from stakeholders and consider potential improvements. Remember that problem-solving is an ongoing process that can always be refined and enhanced.

Problem-Solving Techniques

During each step, you may find it helpful to utilize various problem-solving techniques, such as:

• Brainstorming : A free-flowing, open-minded session where ideas are generated and listed without judgment, to encourage creativity and innovative thinking.
• Root cause analysis : A method that explores the underlying causes of a problem to find the most effective solution rather than addressing superficial symptoms.
• SWOT analysis : A tool used to evaluate the strengths, weaknesses, opportunities, and threats related to a problem or decision, providing a comprehensive view of the situation.
• Mind mapping : A visual technique that uses diagrams to organize and connect ideas, helping to identify patterns, relationships, and possible solutions.

Brainstorming

When facing a problem, start by conducting a brainstorming session. Gather your team and encourage an open discussion where everyone contributes ideas, no matter how outlandish they may seem. This helps you:

• Generate a diverse range of solutions
• Encourage all team members to participate
• Foster creative thinking

When brainstorming, remember to:

• Reserve judgment until the session is over
• Encourage wild ideas
• Combine and improve upon ideas

Root Cause Analysis

For effective problem-solving, identifying the root cause of the issue at hand is crucial. Try these methods:

• 5 Whys : Ask “why” five times to get to the underlying cause.
• Fishbone Diagram : Create a diagram representing the problem and break it down into categories of potential causes.
• Pareto Analysis : Determine the few most significant causes underlying the majority of problems.

SWOT Analysis

SWOT analysis helps you examine the Strengths, Weaknesses, Opportunities, and Threats related to your problem. To perform a SWOT analysis:

• List your problem’s strengths, such as relevant resources or strong partnerships.
• Identify its weaknesses, such as knowledge gaps or limited resources.
• Explore opportunities, like trends or new technologies, that could help solve the problem.
• Recognize potential threats, like competition or regulatory barriers.

SWOT analysis aids in understanding the internal and external factors affecting the problem, which can help guide your solution.

Mind Mapping

A mind map is a visual representation of your problem and potential solutions. It enables you to organize information in a structured and intuitive manner. To create a mind map:

• Write the problem in the center of a blank page.
• Draw branches from the central problem to related sub-problems or contributing factors.
• Add more branches to represent potential solutions or further ideas.

Mind mapping allows you to visually see connections between ideas and promotes creativity in problem-solving.

Examples of Problem Solving in Various Contexts

In the business world, you might encounter problems related to finances, operations, or communication. Applying problem-solving skills in these situations could look like:

• Identifying areas of improvement in your company’s financial performance and implementing cost-saving measures
• Resolving internal conflicts among team members by listening and understanding different perspectives, then proposing and negotiating solutions
• Streamlining a process for better productivity by removing redundancies, automating tasks, or re-allocating resources

In educational contexts, problem-solving can be seen in various aspects, such as:

• Addressing a gap in students’ understanding by employing diverse teaching methods to cater to different learning styles
• Developing a strategy for successful time management to balance academic responsibilities and extracurricular activities
• Seeking resources and support to provide equal opportunities for learners with special needs or disabilities

Everyday life is full of challenges that require problem-solving skills. Some examples include:

• Overcoming a personal obstacle, such as improving your fitness level, by establishing achievable goals, measuring progress, and adjusting your approach accordingly
• Navigating a new environment or city by researching your surroundings, asking for directions, or using technology like GPS to guide you
• Dealing with a sudden change, like a change in your work schedule, by assessing the situation, identifying potential impacts, and adapting your plans to accommodate the change.
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5 Phases of Problem-Solving using the Six Sigma DMAIC approach

In the world of continuous improvement, the Six Sigma DMAIC methodology stands out as a powerful tool for problem-solving and process optimization.

|| 10 minutes read ||

Overview of the problem and the approach taken

In this blog, we delve into how a team of professionals tackled a daunting $65 million issue using DMAIC – Define, Measure, Analyze, Improve and Control. By leveraging tools such as Pareto analysis, fishbone diagrams, 5 Whys, Gemba walks, and SCAMPER brainstorming sessions, the team was able to identify root causes, generate innovative solutions, and implement sustainable changes.

Join us on this step-by-step guide to see how DMAIC, combined with teamwork and strategic planning, can lead to successful problem resolution and long-term results.

1.    Define: Identifying the problem and setting goals

In the Define phase of DMAIC, the first crucial step is to identify the problem at hand. By defining the problem statement and setting specific, measurable, achievable, relevant, and time-bound (SMART) goals, the team can align their efforts toward a common objective. It is essential to gather relevant  data, engage stakeholders, and establish a baseline for current performance.

Through effective communication and collaboration, the team can ensure everyone is on the same page regarding the issue and the desired outcome.

Stay tuned to learn, how a well-defined problem statement lays the foundation for the success of the DMAIC process.

2.   Measure: Collecting data and analyzing the current state

In the Measure phase of DMAIC, the focus shifts to collecting relevant data and analyzing the current state of affairs. This step involves identifying key metrics, establishing data collection methods, and ensuring data accuracy and reliability. By analyzing the gathered information, the team can gain valuable insights into the root causes of the problem and quantify the extent of the issue. Through rigorous data analysis and interpretation, the team can uncover patterns and trends that will guide future improvement efforts.

Stay tuned to discover how data-driven decision-making plays a crucial role in solving the 65-million-dollar problem using the DMAIC methodology.

3.   Analyze: Identifying root causes and potential solutions

In the Analyze phase of DMAIC, the focus shifts towards identifying the root causes of the problem and exploring potential solutions. This stage involves conducting a thorough analysis of the collected data to pinpoint underlying issues that contribute to the $65 million problem. By utilizing various tools and techniques such as root cause analysis, fishbone diagrams, and statistical analysis, the team can delve deeper into the factors influencing the problem.

Through this meticulous process, the team can gain a comprehensive understanding of the issues at hand, paving the way for informed decision-making and targeted action plans.

Stay tuned to uncover, how the Analyze phase propels us closer to resolving the multi-million-dollar challenge.

4.   Improve: Implementing changes and measuring results

In the Improve phase of DMAIC, the focus is on implementing solutions identified during the Analyze phase to address the root causes of the $65 million problem.

This stage involves developing and executing action plans aimed at improving processes and eliminating inefficiencies. By carefully monitoring and measuring the outcomes of these changes, the team can determine their effectiveness in tackling the problem. Continuous evaluation and adjustment of strategies are key elements of this phase to ensure sustainable improvements.

Stay engaged as we dive into how the Improve phase plays a pivotal role in transforming our approach to resolving this high-stakes challenge.

5.   Control: Monitoring progress and sustaining improvements

In the final phase of DMAIC, Control, the emphasis shifts towards monitoring the progress of implemented solutions to ensure sustained improvements in addressing the $65 million problem. This stage involves establishing control measures and mechanisms to track key performance indicators and verify that the desired outcomes are being achieved consistently.

By setting up regular reviews and audits, the team can identify any deviations or issues early on, enabling prompt corrective action. Maintaining open communication channels and documenting procedures are essential in upholding the gains achieved during the Improve phase.

Join us as we explore how effective control measures solidify the success of DMAIC in resolving complex challenges.

Results and Lessons learned from using  DMAIC

After implementing DMAIC in addressing the $65 million problem, the results were profound. By following the structured approach of Define, Measure, Analyze, Improve, and Control, the team successfully identified root causes, developed effective solutions, and ensured sustained improvements. The financial impact of saving $65 million is significant, showcasing the power of DMAIC in problem-solving.

Key lessons learned from this case study include the importance of data-driven decision-making, collaboration among team members from diverse backgrounds, and the value of maintaining a systematic and structured approach throughout the problem-solving process.

Stay tuned to gain further insights into how DMAIC can be leveraged to overcome complex challenges effectively.

Conclusion and final thoughts

In conclusion, the case study highlighting the successful resolution of a $65 million problem through DMAIC reinforces the effectiveness of this structured problem-solving methodology. The disciplined approach of Define, Measure, Analyze, Improve, and Control proved invaluable in achieving significant cost savings and sustainable improvements. Emphasizing data-driven decision- making, cross-functional collaboration, and systematic problem-solving methods were key takeaways.

As organizations face increasingly complex challenges, leveraging DMAIC can provide a systematic framework for driving positive change and delivering tangible results. By adhering to the principles of DMAIC, businesses can enhance their problem-solving capabilities and achieve long-term success.

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To Solve a Tough Problem, Reframe It

• Julia Binder
• Michael D. Watkins

Research shows that companies devote too little effort to examining problems before trying to solve them. By jumping immediately into problem-solving, teams limit their ability to design innovative solutions.

The authors recommend that companies spend more time up front on problem-framing, a process for understanding and defining a problem. Exploring different frames is like looking at a scene through various camera lenses while adjusting your angle, aperture, and focus. A wide-angle lens gives you a very different photo from that taken with a telephoto lens, and shifting your angle and depth of focus yields distinct images. Effective problem-framing is similar: Looking at a problem from a variety of perspectives helps you uncover new insights and generate fresh ideas.

This article introduces a five-phase approach to problem-framing: In the expand phase, the team identifies all aspects of a problem; in examine, it dives into root causes; in empathize, it considers key stakeholders’ perspectives; in elevate, it puts the problem into a broader context; and in envision, it creates a road map toward the desired outcome.

Five steps to ensure that you don’t jump to solutions

Idea in Brief

The problem.

Research shows that most companies devote too little effort to examining problems from all angles before trying to solve them. That limits their ability to come up with innovative ways to address them.

The Solution

Companies need a structured approach for understanding and defining complex problems to uncover new insights and generate fresh ideas.

The Approach

This article introduces a five-phase approach to problem-framing: In the expand phase, the team identifies all aspects of a problem; in examine, it dives into root causes; in empathize, it considers key stakeholders’ perspectives; in elevate, it puts the problem into a broader context; and in envision, it creates a road map toward the desired outcome.

When business leaders confront complex problems, there’s a powerful impulse to dive right into “solving” mode: You gather a team and then identify potential solutions. That’s fine for challenges you’ve faced before or when proven methods yield good results. But what happens when a new type of problem arises or aspects of a familiar one shift substantially? Or if you’re not exactly sure what the problem is?

Research conducted by us and others shows that leaders and their teams devote too little effort to examining and defining problems before trying to solve them. A study by Paul Nutt of Ohio State University, for example, looked at 350 decision-making processes at medium to large companies and found that more than half failed to achieve desired results, often because perceived time pressure caused people to pay insufficient attention to examining problems from all angles and exploring their complexities. By jumping immediately into problem-solving, teams limit their ability to design innovative and durable solutions.

When we work with organizations and teams, we encourage them to spend more time up front on problem-framing, a process for understanding and defining a problem. Exploring frames is like looking at a scene through various camera lenses while adjusting your angle, aperture, and focus. A wide-angle lens will give you a very different photo from that taken with a telephoto lens, and shifting your angle and depth of focus yields distinct images. Effective problem-framing is similar: Looking at a problem from a variety of perspectives lets you uncover new insights and generate fresh ideas.

As with all essential processes, it helps to have a methodology and a road map. This article introduces the E5 approach to problem-framing—expand, examine, empathize, elevate, and envision—and offers tools that enable leaders to fully explore the problem space.

Phase 1: Expand

In the first phase, set aside preconceptions and open your mind. We recommend using a tool called frame-storming, which encourages a comprehensive exploration of an issue and its nuances. It is a neglected precursor to brainstorming, which typically focuses on generating many different answers for an already framed challenge. Frame-storming helps teams identify assumptions and blind spots, mitigating the risk of pursuing inadequate or biased solutions. The goal is to spark innovation and creativity as people dig into—or as Tina Seelig from Stanford puts it, “fall in love with”—the problem.

Begin by assembling a diverse team, encompassing a variety of types of expertise and perspectives. Involving outsiders can be helpful, since they’re often coming to the issue cold. A good way to prompt the team to consider alternative scenarios is by asking “What if…?” and “How might we…?” questions. For example, ask your team, “What if we had access to unlimited resources to tackle this issue?” or “How might better collaboration between departments or teams help us tackle this issue?” The primary objective is to generate many alternative problem frames, allowing for a more holistic understanding of the issue. Within an open, nonjudgmental atmosphere, you deliberately challenge established thinking—what we call “breaking” the frame.

It may be easy to eliminate some possibilities, and that’s exactly what you should do. Rather than make assumptions, generate alternative hypotheses and then test them.

Consider the problem-framing process at a company we’ll call Omega Soundscapes, a midsize producer of high-end headphones. (Omega is a composite of several firms we’ve worked with.) Omega’s sales had declined substantially over the past two quarters, and the leadership team’s initial diagnosis, or reference frame, was that recent price hikes to its flagship product made it too expensive for its target market. Before acting on this assumption, the team convened knowledgeable representatives from sales, marketing, R&D, customer service, and external consultants to do some frame-storming. Team members were asked:

• What if we lowered the price of our flagship product? How would that impact sales and profitability?
• How might we identify customers in new target markets who could afford our headphones at the current price?
• What if we offered financing or a subscription-based model for our headphones? How would that change perceptions of affordability?
• How might we optimize our supply chain and production processes to reduce manufacturing costs without compromising quality?

In playing out each of those scenarios, the Omega team generated several problem frames:

• The target market’s preferences have evolved.
• New competitors have entered the market.
• Product quality has decreased.
• Something has damaged perceptions of the brand.
• Something has changed in the priorities of our key distributors.

Each of the frames presented a unique angle from which to approach the problem of declining sales, setting the stage for the development of diverse potential solutions. At this stage, it may be relatively easy to eliminate some possibilities, and that’s exactly what you should do. Rather than make assumptions, generate alternative hypotheses and then test them.

See more HBR charts in Data & Visuals

Phase 2: Examine

If the expand phase is about identifying all the facets of a problem, this one is about diving deep to identify root causes. The team investigates the issue thoroughly, peeling back the layers to understand underlying drivers and systemic contributors.

A useful tool for doing this is the iceberg model, which guides the team through layers of causation: surface-level events, the behavioral patterns that drive them, underlying systematic structures, and established mental models. As you probe ever deeper and document your findings, you begin to home in on the problem’s root causes. As is the case in the expand phase, open discussions and collaborative research are crucial for achieving a comprehensive analysis.

Let’s return to our Omega Soundscapes example and use the iceberg model to delve into the issues surrounding the two quarters of declining sales. Starting with the first layer beneath the surface, the behavioral pattern, the team diligently analyzed customer feedback. It discovered a significant drop in brand loyalty. This finding validated the problem frame of a “shifting brand perception,” prompting further investigation into what might have been causing it.

Phase 3: Empathize

In this phase, the focus is on the stakeholders—employees, customers, clients, investors, supply chain partners, and other parties—who are most central to and affected by the problem under investigation. The core objective is to understand how they perceive the issue: what they think and feel, how they’re acting, and what they want.

First list all the people who are directly or indirectly relevant to the problem. It may be helpful to create a visual representation of the network of relationships in the ecosystem. Prioritize the stakeholders according to their level of influence on and interest in the problem, and focus on understanding the roles, demographics, behavior patterns, motivations, and goals of the most important ones.

Now create empathy maps for those critical stakeholders. Make a template divided into four sections: Say, Think, Feel, and Do. Conduct interviews or surveys to gather authentic data. How do various users explain the problem? How do they think about the issue, and how do their beliefs inform that thinking? What emotions are they feeling and expressing? How are they behaving? Populate each section of the map with notes based on your observations and interactions. Finally, analyze the completed empathy maps. Look for pain points, inconsistencies, and patterns in stakeholder perspectives.

Returning to the Omega case study, the team identified its ecosystem of stakeholders: customers (both current and potential); retail partners and distributors; the R&D, marketing, and sales teams; suppliers of headphone components; investors and shareholders; and new and existing competitors. They narrowed the list to a few key stakeholders related to the declining-sales problem: customers, retail partners, and investors/shareholders; Omega created empathy maps for representatives from each.

Here’s what the empathy maps showed about what the stakeholders were saying, thinking, feeling, and doing:

Sarah, the customer, complained on social media about the high price of her favorite headphones. Dave, the retailer, expressed concerns about unsold inventory and the challenge of convincing customers to buy the expensive headphones. Alex, the shareholder, brought up Omega’s declining financial performance during its annual investor day.

Sarah thought that Omega was losing touch with its loyal customer base. Dave was considering whether to continue carrying Omega’s products in his store or explore other brands. Alex was contemplating diversifying his portfolio into other consumer-tech companies.

As a longtime supporter of the brand, Sarah felt frustrated and slightly betrayed. Dave was feeling anxious about the drop in sales and the impact on his store’s profitability. Alex was unhappy with the declining stock value.

Sarah was looking for alternatives to the headphones, even though she loves the product’s quality. Dave was scheduling a call with Omega to negotiate pricing and terms. Alex was planning to attend Omega’s next shareholder meeting to find out more information from the leadership team.

When Omega leaders analyzed the data in the maps, they realized that pricing wasn’t the only reason for declining sales. A more profound issue was customers’ dissatisfaction with the perceived price-to-quality ratio, especially when compared with competitors’ offerings. That insight prompted the team to consider enhancing the headphones with additional features, offering more-affordable alternatives, and possibly switching to a service model.

Phase 4: Elevate

This phase involves exploring how the problem connects to broader organizational issues. It’s like zooming out on a map to understand where a city lies in relation to the whole country or continent. This bird’s-eye view reveals interconnected issues and their implications.

For this analysis, we recommend the four-frame model developed by Lee Bolman and Terrence Deal, which offers distinct lenses through which to view the problem at a higher level. The structural frame helps you explore formal structures (such as hierarchy and reporting relationships); processes (such as workflow); and systems, rules, and policies. This frame examines efficiency, coordination, and alignment of activities.

The human resources frame focuses on people, relationships, and social dynamics. This includes teamwork, leadership, employee motivation, engagement, professional development, and personal growth. In this frame, the organization is seen as a community or a family that recognizes that talent is its most valuable asset. The political frame delves into power dynamics, competing interests, conflicts, coalitions, and negotiations. From this perspective, organizations are arenas where various stakeholders vie for resources and engage in political struggles to influence decisions. It helps you see how power is distributed, used, and contested.

The symbolic frame highlights the importance of symbols, rituals, stories, and shared values in shaping group identity and culture. In it, organizations are depicted as theaters through which its members make meaning.

Using this model, the Omega team generated the following insights in the four frames:

Structural.

A deeper look into the company’s structure revealed siloing and a lack of coordination between the R&D and marketing departments, which had led to misaligned messaging to customers. It also highlighted a lack of collaboration between the two functions and pointed to the need to communicate with the target market about the product’s features and benefits in a coherent and compelling way.

Human resources.

This frame revealed that the declining sales and price hikes had ramped up pressure on the sales team, damaging morale. The demotivated team was struggling to effectively promote the product, making it harder to recover from declining sales. Omega realized it was lacking adequate support, training, and incentives for the team.

The key insight from this frame was that the finance team’s reluctance to approve promotions in the sales group to maintain margins was exacerbating the morale problem. Omega understood that investing in sales leadership development while still generating profits was crucial for long-term success and that frank discussions about the issue were needed.

This frame highlighted an important misalignment in perception: The company believed that its headphones were of “top quality,” while customers reported in surveys that they were “overpriced.” This divergence raised alarm that branding, marketing, and pricing strategies, which were all predicated on the central corporate value of superior quality, were no longer resonating with customers. Omega realized that it had been paying too little attention to quality assurance and functionality.

Phase 5: Envision

In this phase, you transition from framing the problem to actively imagining and designing solutions. This involves synthesizing the insights gained from earlier phases and crafting a shared vision of the desired future state.

Here we recommend using a technique known as backcasting. First, clearly define your desired goal. For example, a team struggling with missed deadlines and declining productivity might aim to achieve on-time completion rates of 98% for its projects and increase its volume of projects by 5% over the next year. Next, reverse engineer the path to achieving your goal. Outline key milestones required over both the short term and the long term. For each one, pinpoint specific interventions, strategies, and initiatives that will propel you closer to your goal. These may encompass changes in processes, policies, technologies, and behaviors. Synthesize the activities into a sequenced, chronological, prioritized road map or action plan, and allocate the resources, including time, budget, and personnel, necessary to implement your plan. Finally, monitor progress toward your goal and be prepared to adjust the plan in response to outcomes, feedback, or changing circumstances. This approach ensures that the team’s efforts in implementing the insights from the previous phases are strategically and purposefully directed toward a concrete destination.

Applying the Approach

Albert Einstein once said, “If I had one hour to solve a problem, I would spend 55 minutes thinking about the problem and five minutes thinking about the solution.” That philosophy underpins our E5 framework, which provides a structured approach for conscientiously engaging with complex problems before leaping to solutions.

As teams use the methodology, they must understand that problem-framing in today’s intricate business landscape is rarely a linear process. While we’re attempting to provide a structured path, we also recognize the dynamic nature of problems and the need for adaptability. Invariably, as teams begin to implement solutions, new facets of a problem may come to light, unforeseen challenges may arise, or external circumstances may evolve. Your team should be ready to loop back to previous phases—for instance, revisiting the expand phase to reassess the problem’s frame, delving deeper into an overlooked root cause in another examine phase, or gathering fresh insights from stakeholders in a new empathize phase. Ultimately, the E5 framework is intended to foster a culture of continuous improvement and innovation.

• JB Julia Binder is the director of the Center for Sustainable and Inclusive Business and a professor of sustainable innovation at IMD.
• Michael D. Watkins is a professor of leadership and organizational change at IMD , a cofounder of Genesis Advisers , and the author of The Six Disciplines of Strategic Thinking .

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• 10 Sep 2024

Leading with Creative Problem Solving: Ron Kurtz (MBA 1967)

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As a youngster, I used to create “stores” in my driveway, selling things to other neighborhood kids. It was an entrepreneurial inclination fostered by growing up in a family that owned retail stores and enjoyed telling stories of their sales.

Advertising was a popular career with a certain amount of glamour in the 1950s and 1960s. I, too, liked the thought of developing ideas that would motivate consumers. As an undergrad at the University of Texas, I was a strong writer and was always looking for opportunities to be creative. I thought my future career would be in advertising, likely as a copywriter.

Two undergraduate internships at large retail advertisers gave me enough exposure and experience to discover that, in addition to advertising copywriting, I was interested in things like product attributes, pricing, and distribution.

My vision of the future changed to product management in the wider consumer goods industry. I was attracted to product management by the broad range of creative and strategic activities. I felt that product design and pricing were important determinants of success. It was a function that provided the opportunity to be involved in the whole marketing process.

To build my management skills and set myself on a path toward executive-level positions, I applied to business school in my final year of undergrad. I was accepted to other business schools right away but was told by Harvard Business School that I would only be accepted if I had a year of post-graduate work experience under my belt. I believed in the effectiveness of the case method for building my business skills, and in the influence of an HBS education and network as a doorway to the kinds of companies I hoped to work for, so I decided to hold out for HBS.

The wait proved worthwhile. At HBS, I learned how to be decisive with limited information, and that being decisive requires also being a team player, allowing the opinions and knowledge of others to fill my own experience gaps while being able to persuasively explain my own choices. HBS also provided the resources to help me in my job search and application process, and the tools to research companies ahead of interviews.

HBS connected me with my first post-graduate job as a research assistant for a highly respected marketing professor where I gained deep exposure to the management and decision processes of executives. While in this role, I worked with executives across several companies and ultimately accepted a job offer from one of them, also an HBS grad. They became a demanding mentor who offered guidance, helping me to mature as a manager, develop good business habits, and inform my intuition for decision making.

As I progressed in my career, taking on positions with more responsibility and leadership, I learned that I loved the challenge of leading through change and building things from scratch, rather than holding an already successful organization in its status quo. I have turned around businesses and worked with several startups. Both require a good degree of creativity in problem solving and opportunity identification, as well as the creation of action plans and strategies. I still found opportunities to be creative, albeit different ones than those of an advertising copywriter.

My career journey has not always been easy and positive, no career journey is. I’ve learned I prefer to stay away from workplace politics, a discovery that has impacted the choices I’ve made and paths I’ve taken. Likewise, when there have been interpersonal conflicts with colleagues I’ve had to work closely with, I’ve found ways to pursue different opportunities. Just as it is important to pursue what excites you, it is important to avoid what discourages you.

If I had advice for other HBS students and alumni, it would be to diversify your experiences and exposure, develop and foster a network of friends to keep in touch with after HBS, and to participate more in class. It would also be to consider the other areas in life worth building and pursue points of pride in them as much as you do with your career.

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OpenAI Announces a New AI Model, Code-Named Strawberry, That Solves Difficult Problems Step by Step

OpenAI made the last big breakthrough in artificial intelligence by increasing the size of its models to dizzying proportions, when it introduced GPT-4 last year. The company today announced a new advance that signals a shift in approach—a model that can “reason” logically through many difficult problems and is significantly smarter than existing AI without a major scale-up.

The new model, dubbed OpenAI o1, can solve problems that stump existing AI models, including OpenAI’s most powerful existing model, GPT-4o . Rather than summon up an answer in one step, as a large language model normally does, it reasons through the problem, effectively thinking out loud as a person might, before arriving at the right result.

“This is what we consider the new paradigm in these models,” Mira Murati , OpenAI’s chief technology officer, tells WIRED. “It is much better at tackling very complex reasoning tasks.”

The new model was code-named Strawberry within OpenAI, and it is not a successor to GPT-4o but rather a complement to it, the company says.

Murati says that OpenAI is currently building its next master model, GPT-5, which will be considerably larger than its predecessor. But while the company still believes that scale will help wring new abilities out of AI, GPT-5 is likely to also include the reasoning technology introduced today. “There are two paradigms,” Murati says. “The scaling paradigm and this new paradigm. We expect that we will bring them together.”

LLMs typically conjure their answers from huge neural networks fed vast quantities of training data. They can exhibit remarkable linguistic and logical abilities, but traditionally struggle with surprisingly simple problems such as rudimentary math questions that involve reasoning.

Murati says OpenAI o1 uses reinforcement learning, which involves giving a model positive feedback when it gets answers right and negative feedback when it does not, in order to improve its reasoning process. “The model sharpens its thinking and fine tunes the strategies that it uses to get to the answer,” she says. Reinforcement learning has enabled computers to play games with superhuman skill and do useful tasks like designing computer chips . The technique is also a key ingredient for turning an LLM into a useful and well-behaved chatbot.

Mark Chen, vice president of research at OpenAI, demonstrated the new model to WIRED, using it to solve several problems that its prior model, GPT-4o, cannot. These included an advanced chemistry question and the following mind-bending mathematical puzzle: “A princess is as old as the prince will be when the princess is twice as old as the prince was when the princess’s age was half the sum of their present age. What is the age of the prince and princess?” (The correct answer is that the prince is 30, and the princess is 40).

“The [new] model is learning to think for itself, rather than kind of trying to imitate the way humans would think,” as a conventional LLM does, Chen says.

OpenAI says its new model performs markedly better on a number of problem sets, including ones focused on coding, math, physics, biology, and chemistry. On the American Invitational Mathematics Examination (AIME), a test for math students, GPT-4o solved on average 12 percent of the problems while o1 got 83 percent right, according to the company.

The new model is slower than GPT-4o, and OpenAI says it does not always perform better—in part because, unlike GPT-4o, it cannot search the web and it is not multimodal, meaning it cannot parse images or audio.

Improving the reasoning capabilities of LLMs has been a hot topic in research circles for some time. Indeed, rivals are pursuing similar research lines. In July, Google announced AlphaProof , a project that combines language models with reinforcement learning for solving difficult math problems.

AlphaProof was able to learn how to reason over math problems by looking at correct answers. A key challenge with broadening this kind of learning is that there are not correct answers for everything a model might encounter. Chen says OpenAI has succeeded in building a reasoning system that is much more general. “I do think we have made some breakthroughs there; I think it is part of our edge,” Chen says. “It’s actually fairly good at reasoning across all domains.”

Noah Goodman , a professor at Stanford who has published work on improving the reasoning abilities of LLMs, says the key to more generalized training may involve using a “carefully prompted language model and handcrafted data” for training. He adds that being able to consistently trade the speed of results for greater accuracy would be a “nice advance.”

Yoon Kim , an assistant professor at MIT, says how LLMs solve problems currently remains somewhat mysterious, and even if they perform step-by-step reasoning there may be key differences from human intelligence. This could be crucial as the technology becomes more widely used. “These are systems that would be potentially making decisions that affect many, many people,” he says. “The larger question is, do we need to be confident about how a computational model is arriving at the decisions?”

The technique introduced by OpenAI today also may help ensure that AI models behave well. Murati says the new model has shown itself to be better at avoiding producing unpleasant or potentially harmful output by reasoning about the outcome of its actions. “If you think about teaching children, they learn much better to align to certain norms, behaviors, and values once they can reason about why they’re doing a certain thing,” she says.

Oren Etzioni , a professor emeritus at the University of Washington and a prominent AI expert, says it’s “essential to enable LLMs to engage in multi-step problem solving, use tools, and solve complex problems.” He adds, “Pure scale up will not deliver this.” Etzioni says, however, that there are further challenges ahead. “Even if reasoning were solved, we would still have the challenge of hallucination and factuality.”

OpenAI’s Chen says that the new reasoning approach developed by the company shows that advancing AI need not cost ungodly amounts of compute power. “One of the exciting things about the paradigm is we believe that it’ll allow us to ship intelligence cheaper,” he says, “and I think that really is the core mission of our company.”

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What Happens When Business Owners Turn to ChatBots for Advice

AI can help you become a better writer, coder, and researcher. But can the powerful technology boost business acumen and economic performance?

Sort of, says a recent study . An experimental artificial intelligence (AI) mentor designed to answer business questions from Kenyan entrepreneurs helped some become more successful—but led others down the wrong path, says Rembrand Koning, the Mary V. and Mark A. Stevens Associate Professor of Business Administration at Harvard Business School. How much strategic insight and profit boost AI can provide depends on the condition of a business at the onset of the study.

"Already we’re seeing how generative AI can change people's lives."

Businesses that were already financially stable used the AI-generated advice to produce measurable improvements, while struggling businesses ran into further difficulties, say Rembrand and collaborators Rowan Clarke, a doctoral student at HBS; Solène Delecourt and David Holtz, assistant professors at the University of California, Berkeley; and Berkeley doctoral student Nicholas G. Otis.

While Koning describes the paradoxical outcomes as a “real puzzle,” he believes the study offers encouraging findings about AI’s capabilities to help solve business problems, particularly in parts of the world with fewer resources and less access to technology.

“The fact that generative AI was a little over a year old, and we could use it to advise several hundred Kenyan entrepreneurs how to improve their businesses blows my mind,” Koning says. “Already we’re seeing how generative AI can change people’s lives.”

Chatbot versus an old-fashioned business guide

The study enrolled 640 entrepreneurs in Kenya across various sectors, including transportation, food, clothing, jewelry, cosmetics, construction, carpentry, and agriculture.

Researchers randomly divided the entrepreneurs into two groups. One group used the AI mentor to seek advice, while the second group received a placebo training guide.

Surprisingly, low-performing entrepreneurs who had below-median performance before experienced a 10 percent decline in revenues and profits. Yet, high-performing entrepreneurs who had above-median performance got even better, with the AI mentor leading to a 15 percent increase in performance, according to the study.

Difficult questions stump AI

All told, the entrepreneurs asked the specialized AI chatbot thousands of questions. The mixed results likely stem from struggling performers asking more challenging questions based on their more dire circumstances.

“Our best guess is that entrepreneurs in really harrowing straits ask a difficult question, and the AI mentor produces what seems like good advice, but it’s not enough to solve their problem,” Koning says.

"Here’s a technology that allows us to put a phenomenal business adviser in the pockets of billions of people."

“Maybe it’s that you have a food stall, but your food is terrible, your servers are mean, or you’re simply on the bad side of the street,” he says. “The mentor might suggest, ‘Why don’t you do a better marketing campaign?’ The problem is, I’m not sure money spent on ads would improve help, and the cost of marketing might even lead to lower profits and performance.”

The mixed outcomes may also be due to factors such as “overconfident” or “flawed recommendations” from the AI mentor that can lead to negative results.

However, that the AI helped even some of the entrepreneurs in the study highlights the potential of AI mentors to enable entrepreneurship business growth across the globe.

“Unfortunately, getting advice is hard for many entrepreneurs,” Koning says. “It’s especially hard if you run a car wash outside Nairobi. And now, here’s a technology that allows us to put a phenomenal business adviser in the pockets of billions of people.”

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When researching smart homes, there are a few resources that will report directly on the topic. It will be wise, however, to incorporate information related to the internet of things (IoT) market as well as the various components that go into a smart home. IoT puts the concept of technologies communicating with one another over a network to regulate and provide a variety of services. Smart technologies are a prime example. The databases listed below will provide research on smart homes and IoT as a concept, industry, market, and technologies related to. 

Recommended Resources

• Technavio Search smart home to view the US Smart Homes market report. This report takes current year data and projects the outlook of the market for Smart Homes and their various components for the next 5 years.
• Frost & Sullivan Provides various state of the market and development reports related to Smart Homes.
• BCC Research Select member login at top right, and click IP authenticate to access ND subscription. Provides access to market research reports on emerging technology markets such as advanced materials, biotechnology, chemicals, energy, healthcare, sensors, plastics, internet of things (IoT), and nanotechnology. Searches for internet of things (IoT), smart homes, or even just the term smart will capture market reports on most technologies related to this case.
• Statista Provides access to numerous statistical data sets relevant to the topics of smart homes and internet of things. Search the phrases smart homes and internet of things to get good results. Alternatively type smart and look through the autocomplete suggestions to generate ideas on specific smart technologies for further research.
• Mintel Academic Provides access to a full report on smart homes in the U.S. which provides consumer centric research on the topic.
• Major Smart Appliance Manufacturing in the US
• Smart Thermostat Manufacturing in the US
• Electronic Access Control System Manufacturing in the US
• Factiva An excellent source for current news and business periodical coverage of internet of things and smart home related topics. Very powerful in its searching capabilities as well. On the search tab in the database, experiment with the filter options located underneath the search form. For example, click the blue arrow next to the subject header to open the subject filter search box. Type privacy and select the autocomplete option for privacy issues. Once set, change the date dropdown to something current like the last year or 6 months, and then in the search form input "smart homes". You should receive news results concerning data privacy in smart homes.

Resources on this page provide research on topics of data privacy and cyber security in relation to Internet of Things (IoT) and as general concepts. There will also be some resources discussing international regulations in relation to data privacy. There are also resources which provide insight into the ways in which data can be used by businesses implementing smart technology solutions. When searching the following databases keep in mind some of the following potential search strings for drawing out good information:

"data privacy"

"data security"

"cyber security"

"data breach"

"internet of things" OR IoT

"smart homes"

" data analytics"

"data collection"

(smart OR "internet of things" OR IoT) AND ("data privacy" OR "data security" OR "cyber security")

"smart homes" AND ("data analytics" OR "data collection") AND benefit

• The digital harms of smart home devices: A systematic literature review Provides a high level overview of the various cybersecurity and privacy issues associated with various smart home integrations.
• ABI/INFORM Trade & Industry Provides access to articles, business periodicals, newsletters, and trade publications focused on industry and trade topics. Many articles cover topics of internet of things, smart homes, data concerns, and the potential uses of data in a business setting. Many search strings could likely work here.
• International Association of Privacy Professionals (IAPP) Report on Smart Homes Report authored by a professional organization whose major concern is data privacy issues. Provides a detailed overview of potential data issues in the construction of a basic smart home.
• Social Science Research Network Licensed for 20 simultaneous users. Provides access to specialized research and working papers in the social sciences, with topics covering accounting, economics, financial economics, legal scholarship, and management (including negotiation and marketing). Excellent resource for broad searches concerning data privacy discussing its impact on law, regulations, economics, and politics.
• Library, Information Science & Technology Abstracts Provides access to research articles focusing on the subject of library and information science. Cybersecurity, data privacy, and internet of things are each sub-disciplines of information science making this a data which responds well to searches using terminology in those areas. There will generally be less of a business slant to articles found here, but it is great for ironing concepts and discussing challenges.
• EconLit Provides access on research on the internet of things, smart homes, and data privacy from the perspective of global economic policy. Has numerous articles regarding implementations, pricing strategies, and regulations surrounding the topic.
• Google Scholar When combined with focused search strings, has the potential to draw out research that may not otherwise appear in other more specialized databases. Google Scholar is also a good resource for research on how businesses can make use of data to further their own efficiencies. Try a search like "smart homes" AND "data collection" AND business for resources from a different viewpoint.
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• Last Updated: Sep 12, 2024 2:00 PM
• URL: https://libguides.library.nd.edu/business-problem-solving-harms

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Why good businesses solve problems—and how to position your company for success.

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Ari Chazanas is the founder and CEO of Lotus West Properties, a property management and investment firm based in West Los Angeles.

As the CEO of a property management company in Los Angeles, I've learned the value of solving problems. It's the foundation of the property manager's core purpose. We manage buildings for property owners by dealing with damage and repairs, tenant concerns and a myriad of other issues that might arise on a daily basis. We find solutions that are most appropriate.

But this is not a new idea. The most successful companies in every field have reached the pinnacle of their respective industries by presenting solutions to everyday problems. How you and your business go about accomplishing that goal can be the difference between short-term profit and long-term success for years to come.

Any entrepreneur intent on starting their own business would do well to know what problem their product or service has set out to solve. Without that, it's going to be very tough to find a strong foothold in your chosen field.

So, how does one go about building a successful business that works at solving a problem?

The Problem

It's one thing to find a problem that needs solving. It's another to find one that's worth solving. There have been many enthusiastic small-business owners who believed their product or service was a million-dollar solution to a common problem—only to discover the problem they were solving was uncommon and not a good basis for a new business.

Identifying the problem might not be immediate at first. You might end up realizing that a problem already has a solution, but you have found a way to build a better version of that solution. This, in itself, is solving a problem because you might have determined that the current solution fails on some level. Perhaps your new version of a solution works more effectively and efficiently than the existing version.

Breaking Down The Problem

Consider what you've decided to be the problem that your business is positioned to solve. Now think about why it's a problem that you feel needs solving. Ask yourself a litany of questions. Does this problem impact a lot of people or a select few? Is this a problem that has no current solution? Would the problem be solved by taking alternative actions of some kind? Would those actions pose other significant problems that make your product or service an invaluable solution by comparison?

The answers to these questions can help paint a vivid picture of the success or failure of your potential business. It's not always about finding the problem but figuring out how your solution can be a profitable and necessary fix.

For example, in the case of a property management company, the business offers a solution to the problem that landlords face every day: They either cannot manage their properties alone or are unwilling to do so for whatever reason. Property managers are able to solve a problem that affects a wide variety of individuals, and while it might not have the same impact as a company such as Amazon or Google, property management businesses do provide a service that supports a need.

Understanding The Problem

Even if you have identified and broken down the problem you intend to solve, it is vital for you to have a fundamental understanding of the problem and the ability to articulate what it is. This is imperative for two reasons. The first is obvious: Without a clear understanding of the problem, how do you expect your solution to be effective? The second is to ensure that your solution is accepted by the general public as a product or service that is necessary.

The Solution

Your future customers want to know that you are an authority on this problem and trust that your solution is the best one available. This also allows you to market your product or service in the most emphatic and appealing way possible. When the problem has been identified, broken down and understood enough to articulate it in an authoritative and concise manner, your expertise will help earn the trust of the public. This results in higher sales of your product or service and, ultimately, success.

Another thing to consider is longevity. How long will your solution be the best one to address the problem, and will there be a better version to come along in the future? Is your company poised to improve the solution when the time comes? This is where anticipation is factored into your plans. Once you understand the problem, it's important to anticipate how the solution could become outdated or improved upon in the future.

Only time will tell if your product or service does fill a long-standing need or if it satisfies a niche concern that only affects some instead of many. That doesn't mean it's not a good idea for a business; it just means you might have to make specific choices and decisions to leverage your success in a specialized market. Not every company has to be founded upon a million-dollar idea, just as long as the product or service you have created continues to be profitable and an innovative force in the marketplace.

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TechBullion

Quantum computing and ai: the future of problem solving in business.

The world of business is constantly evolving, and at the forefront of this evolution are two groundbreaking technologies: quantum computing and artificial intelligence (AI). Separately, these technologies are reshaping industries, but together, they represent the future of problem-solving for businesses. As companies look for ways to gain competitive advantages, streamline operations, and unlock new value, the fusion of quantum computing and AI promises to bring an unprecedented wave of innovation.

Understanding Quantum Computing

Quantum computing isn’t just an incremental advancement in technology; it’s a leap forward that promises to fundamentally change the way we process information. Unlike classical computers that operate using bits in binary states (0s and 1s), quantum computers use qubits , which can exist in multiple states at once thanks to the principles of quantum mechanics. This superposition enables quantum computers to process vast amounts of data and perform complex calculations at speeds unimaginable with today’s classical systems.

For businesses, this means that problems previously considered unsolvable due to their complexity can now be tackled head-on. From optimising supply chains to modelling financial markets, quantum computing holds the potential to handle data and calculations at a scale that would otherwise be impossible.

The Role of AI in Today’s Business Landscape

AI has already demonstrated its value across a wide range of industries. Machine learning algorithms are analysing massive datasets, making predictive decisions, and automating processes that once required human intervention. AI has transformed customer service, enhanced marketing strategies, optimised logistics, and revolutionised healthcare, to name just a few examples.

However, as powerful as AI is, it has its limitations. The sheer amount of data required to train advanced machine learning models, as well as the computational power needed to perform certain tasks, can be bottlenecks for even the most advanced businesses. This is where quantum computing comes into play.

The Synergy Between Quantum Computing and AI

The real magic happens when quantum computing and AI come together. Quantum computing offers the computational power to train AI models faster, optimise them for better performance, and process larger datasets more efficiently. Here are a few ways this synergy could transform industries:

• Optimisation at Scale : In industries like logistics and transportation, AI is already being used to optimise routes, reduce fuel consumption, and streamline operations. But with quantum computing, AI can handle exponentially more variables, leading to more precise and efficient solutions. Imagine supply chains that adapt in real-time, factoring in weather patterns, traffic conditions, and geopolitical events to deliver the best possible outcomes.
• Drug Discovery and Healthcare Innovation : The healthcare industry is notoriously slow when it comes to developing new treatments and drugs. AI is already helping researchers identify potential candidates for drug therapies by analysing huge datasets of molecular structures. Quantum computing could take this a step further by simulating complex molecular interactions with far greater accuracy, significantly speeding up drug discovery processes.
• Financial Risk Modelling : AI has become an essential tool in financial services for managing risk, detecting fraud, and automating trading. Quantum computing will enhance these AI models by processing multiple complex variables simultaneously. In risk modelling, for instance, quantum-enhanced AI could better predict market fluctuations, helping businesses mitigate risks and optimise investments in ways that were previously impossible.
• Accelerated AI Training : One of the biggest challenges businesses face in deploying AI at scale is the time and computational power required to train models. Quantum computing can reduce this bottleneck by processing training data faster and enabling more complex models to be built and tested in less time.

Preparing for a Quantum-AI Future

While quantum computing is still in its early stages, businesses that start preparing now will be better positioned to reap the benefits as the technology matures. Early adopters can already begin experimenting with quantum algorithms through cloud-based quantum computing platforms offered by companies like IBM, Google, and Microsoft. At the same time, businesses should continue to invest in AI talent and infrastructure, ensuring they are ready to integrate quantum computing capabilities as they become more accessible.

Quantum computing and AI together have the potential to solve problems that are simply too large or complex for classical computing methods. As more businesses explore this convergence, they will unlock new opportunities to improve efficiency, reduce costs, and innovate in ways that give them a significant edge in the market.

Real-World Applications

Some forward-thinking companies are already exploring the intersection of quantum computing and AI. For example, pharmaceutical companies are testing quantum algorithms to model drug interactions more quickly and accurately. Financial institutions are using quantum computing to enhance AI-powered trading systems, creating more robust risk management models. Manufacturers are deploying quantum-enhanced AI to optimise factory processes, reducing waste and improving output.

These are just a few examples of how businesses can leverage quantum-AI integration to transform their operations. Over the next decade, as quantum computing becomes more viable, we can expect to see this synergy revolutionise industries at a pace not seen since the advent of the internet.

Quantum computing and AI are no longer just futuristic concepts. They are rapidly evolving technologies that are reshaping how businesses approach problem-solving. The ability to process vast amounts of data, run complex simulations, and optimise operations with unprecedented accuracy will give businesses a powerful toolset to tackle the most pressing challenges of the 21st century.

As we move into this new era, businesses that invest in understanding and adopting these technologies will not only survive but thrive. The future of problem-solving is here, and it’s being driven by the incredible potential of quantum computing and AI. The question for businesses is no longer whether to embrace these technologies, but how quickly they can harness their transformative power.

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