management consulting problem solving

McKinsey Problem Solving: Six steps to solve any problem and tell a persuasive story

The McKinsey problem solving process is a series of mindset shifts and structured approaches to thinking about and solving challenging problems. It is a useful approach for anyone working in the knowledge and information economy and needs to communicate ideas to other people.

Over the past several years of creating StrategyU, advising an undergraduates consulting group and running workshops for clients, I have found over and over again that the principles taught on this site and in this guide are a powerful way to improve the type of work and communication you do in a business setting.

When I first set out to teach these skills to the undergraduate consulting group at my alma mater, I was still working at BCG. I was spending my day building compelling presentations, yet was at a loss for how to teach these principles to the students I would talk with at night.

Through many rounds of iteration, I was able to land on a structured process and way of framing some of these principles such that people could immediately apply them to their work.

While the “official” McKinsey problem solving process is seven steps, I have outline my own spin on things – from experience at McKinsey and Boston Consulting Group. Here are six steps that will help you solve problems like a McKinsey Consultant:

Step #1: School is over, stop worrying about “what” to make and worry about the process, or the “how”

When I reflect back on my first role at McKinsey, I realize that my biggest challenge was unlearning everything I had learned over the previous 23 years. Throughout school you are asked to do specific things. For example, you are asked to write a 5 page paper on Benjamin Franklin — double spaced, 12 font and answering two or three specific questions.

In school, to be successful you follow these rules as close as you can. However, in consulting there are no rules on the “what.” Typically the problem you are asked to solve is ambiguous and complex — exactly why they hire you. In consulting, you are taught the rules around the “how” and have to then fill in the what.

The “how” can be taught and this entire site is founded on that belief. Here are some principles to get started:

Step #2: Thinking like a consultant requires a mindset shift

There are two pre-requisites to thinking like a consultant. Without these two traits you will struggle:

• A healthy obsession looking for a “better way” to do things
• Being open minded to shifting ideas and other approaches

In business school, I was sitting in one class when I noticed that all my classmates were doing the same thing — everyone was coming up with reasons why something should should not be done.

As I’ve spent more time working, I’ve realized this is a common phenomenon. The more you learn, the easier it becomes to come up with reasons to support the current state of affairs — likely driven by the status quo bias — an emotional state that favors not changing things. Even the best consultants will experience this emotion, but they are good at identifying it and pushing forward.

Key point : Creating an effective and persuasive consulting like presentation requires a comfort with uncertainty combined with a slightly delusional belief that you can figure anything out.

Step #3: Define the problem and make sure you are not solving a symptom

Before doing the work, time should be spent on defining the actual problem. Too often, people are solutions focused when they think about fixing something. Let’s say a company is struggling with profitability. Someone might define the problem as “we do not have enough growth.” This is jumping ahead to solutions — the goal may be to drive more growth, but this is not the actual issue. It is a symptom of a deeper problem.

Consider the following information:

• Costs have remained relatively constant and are actually below industry average so revenue must be the issue
• Revenue has been increasing, but at a slowing rate
• This company sells widgets and have had no slowdown on the number of units it has sold over the last five years
• However, the price per widget is actually below where it was five years ago
• There have been new entrants in the market in the last three years that have been backed by Venture Capital money and are aggressively pricing their products below costs

In a real-life project there will definitely be much more information and a team may take a full week coming up with a problem statement . Given the information above, we may come up with the following problem statement:

Problem Statement : The company is struggling to increase profitability due to decreasing prices driven by new entrants in the market. The company does not have a clear strategy to respond to the price pressure from competitors and lacks an overall product strategy to compete in this market.

Step 4: Dive in, make hypotheses and try to figure out how to “solve” the problem

Now the fun starts!

There are generally two approaches to thinking about information in a structured way and going back and forth between the two modes is what the consulting process is founded on.

First is top-down . This is what you should start with, especially for a newer “consultant.” This involves taking the problem statement and structuring an approach. This means developing multiple hypotheses — key questions you can either prove or disprove.

Given our problem statement, you may develop the following three hypotheses:

• Company X has room to improve its pricing strategy to increase profitability
• Company X can explore new market opportunities unlocked by new entrants
• Company X can explore new business models or operating models due to advances in technology

As you can see, these three statements identify different areas you can research and either prove or disprove. In a consulting team, you may have a “workstream leader” for each statement.

Once you establish the structure you you may shift to the second type of analysis: a bottom-up approach . This involves doing deep research around your problem statement, testing your hypotheses, running different analysis and continuing to ask more questions. As you do the analysis, you will begin to see different patterns that may unlock new questions, change your thinking or even confirm your existing hypotheses. You may need to tweak your hypotheses and structure as you learn new information.

A project vacillates many times between these two approaches. Here is a hypothetical timeline of a project:

Step 5: Make a slides like a consultant

The next step is taking the structure and research and turning it into a slide. When people see slides from McKinsey and BCG, they see something that is compelling and unique, but don’t really understand all the work that goes into those slides. Both companies have a healthy obsession (maybe not to some people!) with how things look, how things are structured and how they are presented.

They also don’t understand how much work is spent on telling a compelling “story.” The biggest mistake people make in the business world is mistaking showing a lot of information versus telling a compelling story. This is an easy mistake to make — especially if you are the one that did hours of analysis. It may seem important, but when it comes down to making a slide and a presentation, you end up deleting more information rather than adding. You really need to remember the following:

Data matters, but stories change hearts and minds

Here are four quick ways to improve your presentations:

Tip #1 — Format, format, format

Both McKinsey and BCG had style templates that were obsessively followed. Some key rules I like to follow:

• Make sure all text within your slide body is the same font size (harder than you would think)
• Do not go outside of the margins into the white space on the side
• All titles throughout the presentation should be 2 lines or less and stay the same font size
• Each slide should typically only make one strong point

Tip #2 — Titles are the takeaway

The title of the slide should be the key insight or takeaway and the slide area should prove the point. The below slide is an oversimplification of this:

Even in consulting, I found that people struggled with simplifying a message to one key theme per slide. If something is going to be presented live, the simpler the better. In reality, you are often giving someone presentations that they will read in depth and more information may make sense.

To go deeper, check out these 20 presentation and powerpoint tips .

Tip #3 — Have “MECE” Ideas for max persuasion

“MECE” means mutually exclusive, collectively exhaustive — meaning all points listed cover the entire range of ideas while also being unique and differentiated from each other.

An extreme example would be this:

• Slide title: There are seven continents
• Slide content: The seven continents are North America, South America, Europe, Africa Asia, Antarctica, Australia

The list of continents provides seven distinct points that when taken together are mutually exclusive and collectively exhaustive . The MECE principle is not perfect — it is more of an ideal to push your logic in the right direction. Use it to continually improve and refine your story.

Applying this to a profitability problem at the highest level would look like this:

Goal: Increase profitability

2nd level: We can increase revenue or decrease costs

3rd level: We can increase revenue by selling more or increasing prices

Each level is MECE. It is almost impossible to argue against any of this (unless you are willing to commit accounting fraud!).

Tip #4 — Leveraging the Pyramid Principle

The pyramid principle is an approach popularized by Barbara Minto and essential to the structured problem solving approach I learned at McKinsey. Learning this approach has changed the way I look at any presentation since.

Here is a rough outline of how you can think about the pyramid principle as a way to structure a presentation:

As you build a presentation, you may have three sections for each hypothesis. As you think about the overall story, the three hypothesis (and the supporting evidence) will build on each other as a “story” to answer the defined problem. There are two ways to think about doing this — using inductive or deductive reasoning:

If we go back to our profitability example from above, you would say that increasing profitability was the core issue we developed. Lets assume that through research we found that our three hypotheses were true. Given this, you may start to build a high level presentation around the following three points:

These three ideas not only are distinct but they also build on each other. Combined, they tell a story of what the company should do and how they should react. Each of these three “points” may be a separate section in the presentation followed by several pages of detailed analysis. There may also be a shorter executive summary version of 5–10 pages that gives the high level story without as much data and analysis.

Step 6: The only way to improve is to get feedback and continue to practice

Ultimately, this process is not something you will master overnight. I’ve been consulting, either working for a firm or on my own for more than 10 years and am still looking for ways to make better presentations, become more persuasive and get feedback on individual slides.

The process never ends.

The best way to improve fast is to be working on a great team . Look for people around you that do this well and ask them for feedback. The more feedback, the more iterations and more presentations you make, the better you will become. Good luck!

If you enjoyed this post, you’ll get a kick out of all the free lessons I’ve shared that go a bit deeper. Check them out here .

Do you have a toolkit for business problem solving? I created Think Like a Strategy Consultant as an online course to make the tools of strategy consultants accessible to driven professionals, executives, and consultants. This course teaches you how to synthesize information into compelling insights, structure your information in ways that help you solve problems, and develop presentations that resonate at the C-Level. Click here to learn more or if you are interested in getting started now, enroll in the self-paced version ($497) or hands-on coaching version ($997). Both versions include lifetime access and all future updates.

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How to Problem-Solve Like a Management Consultant

Published: Apr 05, 2021

Traditionally, the art of problem-solving has been the professional domain of management consultants. However, you don’t have to be pursuing a management consulting career in order to be an adept problem-solver. Below are four mental models for effectively solving business problems like a consultant.

1. Start with a hypothesis.

First, it’s important to define the problem you’re trying to solve by making a hypothesis. Doing so offers clarity in terms of the next steps and the information needed to move forward.

For example, say you’re given the problem of trying to determine why a company is losing market share. You suspect the cause is poor customer experience, so this becomes your hypothesis. You start with that, and then you collect data and perform research that either proves or disproves this hypothesis.

Hypothesis testing is not a new model. Its earliest dates to the early 1700s, when the model was used to understand whether male and female births were equally likely. However, if you’re new to setting up a hypothesis, it might feel unnatural starting out. Eventually, though, you’ll likely come to appreciate the simplicity and clarity with which it allows you to navigate a complex problem.

2. Understand the difference between causation and correlation.

It’s important to differentiate between causation and correlation. Just because two data points move together in the same or opposite direction (correlation), it doesn’t mean that one causes the other (causation).

Using the example above, market share and the quality of customer experience might both be declining at the same time, but poor customer experience might not be causing the decline in the market share. Having the insight to differentiate between causation and correlation will allow you to course correct if necessary. If you find that there’s no causation, then you’ll be able to redefine your hypothesis and begin the process of problem-solving all over again

3. Think “Mutually Exclusive Collectively Exhaustive.”

The underlying idea behind Mutually Exclusive Collectively Exhaustive (MECE) was developed by McKinsey & Company in the 1960s to help management consultants structure and frame business problems. The roots of MECE, however, date back to around 40 B.C., when Aristotle’s work on logic and syllogism was compiled into six collections of Organon .

MECE, in its simplest form, represents an approach to decomposing or segmenting a problem into a collection of ideas that are mutually exclusive to each other but when considered holistically are collectively exhaustive. For example, building upon the business problem above, what are the potential drivers that can cause the company’s market share to decline? You might be tempted to offer a laundry list of plausible drivers, such as customer experience, new market entrants, product quality, and new regulation.

As opposed to just creating a laundry list, MECE breaks out drivers into two categories: internal and external. Internal drivers (such as customer experience and product quality) and external drivers (such as new market entrants and new regulation) are mutually exclusive to each other and together encapsulate all the plausible drivers, and so are considered collectively exhaustive.

4. Use the 80/20 rule.

The 80/20 rule states that, in any business problem, 80 percent of the outcomes stem from 20 percent of the causes. Widely considered as an aphorism, the 80/20 rule does have an academic foundation in the Pareto Principle from the early 1900s, when it was first used to observe the distribution of wealth in Italy in the early twentieth century.

The 80/20 rule, as a model, helps to prioritize actions and focus on drivers that matter the most. Using the example above, there might be five potential drivers causing the decline in the market share: (1) poor customer experience, (2) new market entrants, (3) decline in quality of the product, (4) customers’ evolved preference, and (5) new regulatory requirements. However, new market entrants might be causing 80 percent (or most) of the decline. Consequently, the 80/20 rule helps with identifying and developing a succinct narrative around the crux of the problem.

A final note

While these mental models will help you solve business problems, you can’t solely rely on them under all circumstances. For example, certain problems require focusing on correlation more than causation. Also, redundancy, which MECE strives to eliminate, is sometimes needed. Nevertheless, these models will serve you well as building blocks for structuring even the most complex business problems.

Recipient of the Presidential Award from The White House, Vibhu Sinha is an intrapreneurial and bottom-line driven senior management professional with experience in leadership roles across banking and capital markets, advising institutional clients on corporate strategy, idea generation and pitching, financial planning and analysis, M&A, investor relations, and ESG. Vibhu developed his acumen in Behavioral Psychology at Harvard University as part of the master's degree program, and also earned an M.B.A. from UCLA Anderson.

Romulus’s Substack

The mckinsey problem solving approach to consulting: a comprehensive guide, by: jason branin.

In the realm of management consulting, McKinsey & Company stands out as a beacon of excellence and innovation. Since its founding in 1926 by James O. McKinsey, the firm has grown to become one of the most prestigious and influential consulting firms in the world. Central to McKinsey's success is its unique problem-solving approach, which has not only shaped the firm’s own practices but has also significantly influenced the broader consulting industry. This article delves into the intricacies of the McKinsey Problem Solving Approach, exploring its methodologies, tools, and the impact it has on delivering high-value solutions to clients.

The Essence of the McKinsey Problem Solving Approach

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At its core, the McKinsey Problem Solving Approach is a structured methodology designed to tackle complex business challenges through a combination of rigorous analysis, strategic thinking, and practical recommendations. This approach is characterized by its systematic nature, emphasizing clarity, precision, and thoroughness in every step of the problem-solving process. The primary objective is to deliver actionable insights and sustainable solutions that drive tangible results for clients.

Key Components of the McKinsey Problem Solving Approach

1. Defining the Problem

The first and most crucial step in the McKinsey Problem Solving Approach is defining the problem. This involves clearly articulating the issue at hand, setting the boundaries for the analysis, and establishing the objectives of the engagement. McKinsey consultants use a structured framework known as the “problem statement” to capture the essence of the challenge. A well-defined problem statement typically includes:

- Context: The background information and relevant facts about the client and the issue.

- Objective: The desired outcome or goal of the analysis.

- Scope: The boundaries and constraints of the problem.

- Hypotheses: Initial assumptions or potential solutions that will be tested during the analysis.

By investing time and effort in defining the problem accurately, McKinsey ensures that the subsequent analysis is focused, relevant, and aligned with the client’s needs.

2. Disaggregating the Problem

Once the problem is defined, the next step is to break it down into smaller, manageable components. This process, known as disaggregation, allows consultants to tackle each part of the problem systematically. McKinsey employs the MECE (Mutually Exclusive, Collectively Exhaustive) principle to ensure that all aspects of the problem are covered without any overlap or gaps. The MECE framework helps in organizing information logically and ensures that the analysis is comprehensive.

For example, if the problem involves improving a company's profitability, McKinsey might disaggregate it into components such as revenue enhancement, cost reduction, and operational efficiency. Each of these components is then further broken down into sub-components, allowing for a detailed and focused analysis.

3. Conducting the Analysis

The analysis phase is where McKinsey's analytical rigor comes to the fore. This phase involves gathering data, testing hypotheses, and developing insights. McKinsey consultants use a variety of tools and techniques to conduct their analysis, including:

- Benchmarking: Comparing the client’s performance against industry standards or best practices.

- Financial Modeling: Building detailed models to simulate different scenarios and their financial impact.

-Root Cause Analysis: Identifying the underlying causes of the problem rather than just addressing the symptoms.

-Scenario Planning: Exploring different future scenarios to anticipate potential challenges and opportunities.

Data-driven decision-making is a hallmark of McKinsey’s approach. The firm places a strong emphasis on using quantitative data to support its findings and recommendations. This ensures that the solutions proposed are not only theoretically sound but also practically viable.

4. Synthesizing Insights

After conducting the analysis, the next step is to synthesize the insights and draw conclusions. This involves distilling the vast amount of data and information into clear, actionable insights that address the client’s problem. McKinsey consultants use the “Pyramid Principle,” a communication technique developed by Barbara Minto, a former McKinsey consultant, to present their findings. The Pyramid Principle advocates starting with the main conclusion or recommendation and then supporting it with key arguments and data.

This top-down approach ensures that the most important insights are communicated upfront, making it easier for clients to understand and act upon the recommendations. It also helps in structuring complex information in a logical and coherent manner.

5. Developing Recommendations

Based on the synthesized insights, McKinsey consultants develop specific recommendations for the client. These recommendations are not just theoretical ideas but practical, actionable steps that the client can implement to address the problem. McKinsey places a strong emphasis on creating “value-driven” recommendations that deliver measurable impact.

To ensure the recommendations are actionable, McKinsey follows a few guiding principles:

- Feasibility: Ensuring that the recommendations are realistic and can be implemented within the client’s constraints.

- Sustainability: Focusing on long-term solutions that deliver sustained benefits rather than short-term fixes.

- Client Buy-in: Engaging the client throughout the process to ensure they understand and are committed to the recommendations.

6. Implementing Solutions

The final step in the McKinsey Problem Solving Approach is implementing the solutions. McKinsey often works closely with clients to support the implementation phase, ensuring that the recommendations are executed effectively. This involves developing detailed implementation plans, setting up monitoring mechanisms, and providing ongoing support and guidance.

McKinsey’s commitment to implementation reflects its philosophy of “seeing it through.” The firm recognizes that the true value of its consulting services lies not just in developing insightful recommendations but in helping clients achieve tangible results.

Tools and Techniques in the McKinsey Problem Solving Approach

McKinsey employs a wide range of tools and techniques to support its problem-solving approach. Some of the most commonly used tools include:

1. The Issue Tree

The Issue Tree is a visual representation of the problem and its sub-components. It helps in organizing the problem into a hierarchical structure, making it easier to identify the key issues and areas of focus. The Issue Tree is typically used during the disaggregation phase to break down the problem into smaller, manageable parts.

2. The Decision Tree

The Decision Tree is a tool used to map out different decision paths and their potential outcomes. It helps in evaluating the implications of different choices and identifying the most optimal decision. The Decision Tree is particularly useful in scenarios where there are multiple possible solutions or courses of action.

3. The Hypothesis Pyramid

The Hypothesis Pyramid is a tool used to structure hypotheses in a logical manner. It helps in organizing hypotheses into a hierarchy, with the main hypothesis at the top and supporting hypotheses underneath. This tool is used to guide the analysis and ensure that all relevant hypotheses are tested systematically.

4. The MECE Framework

The MECE (Mutually Exclusive, Collectively Exhaustive) framework is a key principle in the McKinsey Problem Solving Approach. It ensures that all aspects of the problem are covered without any overlap or gaps. The MECE framework is used during the disaggregation phase to organize information logically and comprehensively.

5. The Pyramid Principle

The Pyramid Principle is a communication technique used to present findings and recommendations in a clear and structured manner. It advocates starting with the main conclusion or recommendation and then supporting it with key arguments and data. This top-down approach ensures that the most important insights are communicated upfront.

The Impact of the McKinsey Problem Solving Approach

The McKinsey Problem Solving Approach has had a profound impact on the field of management consulting and beyond. Some of the key impacts include:

1. Driving Business Success

McKinsey’s structured and rigorous approach to problem-solving has helped countless organizations achieve significant improvements in performance and profitability. By providing data-driven insights and practical recommendations, McKinsey has enabled clients to address complex challenges and capitalize on new opportunities.

2. Setting Industry Standards

McKinsey’s methodologies and best practices have set industry standards for consulting. Many of the tools and techniques developed by McKinsey, such as the MECE framework and the Pyramid Principle, have become widely adopted across the consulting industry. McKinsey’s emphasis on analytical rigor and strategic thinking has influenced the way consulting firms approach problem-solving.

3. Fostering Innovation

McKinsey’s approach to problem-solving fosters innovation by encouraging consultants to think creatively and challenge conventional wisdom. The firm’s focus on developing hypotheses and testing them systematically promotes a culture of experimentation and continuous improvement. This has led to the development of innovative solutions that drive business success.

4. Building Client Capabilities

McKinsey’s commitment to implementation and client engagement helps build the capabilities of client organizations. By working closely with clients throughout the problem-solving process, McKinsey ensures that clients not only achieve immediate results but also develop the skills and knowledge to sustain improvements over the long term.

The McKinsey Problem Solving Approach is a testament to the firm’s commitment to excellence and innovation. Its structured methodology, emphasis on analytical rigor, and focus on delivering actionable insights have made McKinsey a trusted advisor to some of the world’s most successful organizations. By continually refining its approach and embracing new tools and techniques, McKinsey remains at the forefront of the consulting industry, helping clients navigate complex challenges and achieve sustainable growth.

As businesses continue to face an ever-changing landscape, the principles and practices of the McKinsey Problem Solving Approach will remain highly relevant. Its focus on defining the problem accurately, conducting rigorous analysis, and developing practical recommendations provides a robust framework for tackling the most pressing business issues. For organizations seeking to drive performance and innovation, embracing the McKinsey Problem Solving Approach can be a powerful catalyst for success.

If you are looking to continue this conversation or are looking for some advice, please, feel free to reach out to me at [email protected].

Ready for more?

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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Issue Tree in Consulting: A Complete Guide (With Examples)

What’s the secret to nailing every case interview ? Is it learning the so-called frameworks? Nuh-uh.

Actually, that secret lies in an under-appreciated, yet extremely powerful problem-solving tool behind every real consulting project . It’s called the “issue tree”, also known as “logic tree” or “hypothesis tree” – and this article will teach you how to master it.

Table of Contents

What is an issue tree?

An issue tree is a pyramidal breakdown of one problem into multiple levels of subsets, called “branches”. It can be presented vertically (top-to-bottom), or horizontally (left-to-right). An issue tree systematically isolates the root causes and ensures impactful solutions to the given problem.

The issue tree is most well-known in management consulting , where consultants use it within the “hypothesis-driven problem-solving approach” - repeatedly hypothesizing the location of the root causes within each branch and testing that hypothesis with data. Once all branches are covered and root causes are found, impactful solutions can be delivered.

The issue tree is only part of the process used in case interviews or consulting projects. As such, it must be learned within the larger context of consulting problem-solving, with six concepts: problem, root cause, issue tree, hypothesis, data & solution , that strictly follow the MECE principle .

Every problem-solving process starts with a well-defined PROBLEM...

A problem is “well-defined” when it is attached with an objective. Let’s get straight to a business problem so you can get a good perspective on how it is done. So here’s one:

Harley-Davidson, a motorcycle company, is suffering from negative profit. Find out why and present a solution.

Now we’ve got our first piece of the tree:

 ...then tries to find its ROOT CAUSES…

To ensure any solution to the problem is long-lasting, consultants always look for the root cause.

Problems are often the last, visible part in a long chain of causes and consequences. Consultants must identify the very start of that chain – the root cause – and promptly deal with it to ensure that the problem is gone for good.

The diagram is a simple representation. Real problems can have multiple root causes. That’s where the issue tree comes to the rescue.

Since Harley has been reporting losses, it tried to decrease cost (in the simplest sense, profit = revenue - cost) by shutting down ineffective stores. As you may have imagined, it wasn’t very effective, so Harley set out to find the real source of the problem.

...by breaking it down into different BRANCHES of an issue tree

An issue tree ensures that all root causes are identified in a structured manner by breaking the problem down to different “branches”; each branch is in turn broken down into contributing sub-factors or sub-branches. This process is repeated through many levels until the root causes are isolated and identified.

For this problem, Harley deducted that losses must be due to decreasing revenue or increasing cost. Each branch is in turn segmented based on the possible reasons

For a branch to be included in the issue tree, there must be a possibility that it leads to the problem (otherwise, your problem-solving efforts will be wasted on the irrelevant).

To ensure that all possibilities are covered in the issue tree in a neatly organized fashion, consultants use a principle called “ MECE ”. We’ll get into MECE a bit later.

A HYPOTHESIS is made with each branch…

After we’ve developed a few branches for our issue tree, it’s time to hypothesize, or make an educated guess on which branch is the most likely to contain a root cause. 

Hypotheses must adhere to 3 criteria:

It must follow the issue tree – you cannot hypothesize on anything outside the tree 

It must be top-down – you must always start with the first level of the issue tree

It must be based on existing information – if your information suggests that the root cause is in branch A, you cannot hypothesize that the root cause comes from branch B

Once a hypothesis is confirmed as true (the root cause is inside that branch), move down the branch with a lower-level hypothesis; otherwise, eliminate that branch and move sideways to another one on the same level. 

Repeat this process until the whole issue tree is covered and all root causes are identified.

Harley hypothesized lower revenue is either due to losing its customers because they came to competitors or they weren’t buying anymore, or it couldn’t attract new buyers

But wait! A little reminder: When solving an issue tree, many make the mistake of skipping levels, ASSUMING that the hypothesis is true instead of CONFIRMING  it is. 

So, in our example, that means from negative profit, we go straight into “losing old customers” or “can’t attract new customers” before confirming that “decreasing revenue” is true. So if you come back and reconfirm “decreasing revenue” is wrong, your case is completely off, and that’s not something consultants will appreciate, right?

Another common mistake is hopping between sub-branches before confirming or rejecting one branch , so that means you just jump around “losing old customers” and “can’t attract new customers” repeatedly, just to make haste of things. Take things very slowly, step-by-step. You have all the time in the world for your case interview.

But testing multiple sub-branches is possible, so long as they are all under the same branch and have the same assessment criteria.

So for our example, if you are assessing the sales of each motorcycle segment for Harley, you can test all of them at once.

The hypothesis is then tested with DATA... 

A hypothesis must always be tested with data.

Data usually yield more insights with benchmarks – reference points for comparison. The two most common benchmarks in consulting are historical (past figures from the same entity) and competitor (figures from similar entities, in the same timeframe).

Using “competitor benchmark” to test if competitors are drawing away customers, Harley found that its competitors are also reporting losses, so it must be from something else!

...to find an ACTIONABLE SOLUTION

After the analyzing process, it’s time to deliver actionable solutions. The solutions must attack all the root causes to ensure long-lasting impact – if even one root cause remains untouched, the problem will persist.

Remember to deliver your solutions in a structured fashion, by organizing them in neat and meaningful categories; most of the time, solutions are classified into short-term and long-term.

So Harley found that it is losing its traditional customer base - old people, as they were the most vulnerable groups in the pandemic, so they stopped buying motorcycles to save money for essentials, or simply didn’t survive. 

Harley also found that it can’t attract new, younger buyers, because of its “old-school” stigma, while also selling at premium price tags. So the short-term solution is setting more attractive prices to get more buyers; and the long-term solution is renewing itself to attract younger audiences.

Our case was a real problem for Harley-Davidson during the pandemic, whose sales plummeted because its target audience were either prioritizing essentials, or dead. So now, Harley has to change itself to attract younger people, or die with its former customer base. 

What Is MECE and How Is It Used in an Issue Tree?

A proper issue tree must be MECE, or “ Mutually Exclusive, Collectively Exhaustive .” Mutually exclusive means there’s no overlap between the branches, and collectively exhaustive means all the branches cover every possibility. This is a standard all management consultants swear by, and together with the issue tree, a signature of the industry. 

To answer whether an issue tree is MECE or not, you need to know all the basic and “advanced” rules of the MECE principle, and we’ll talk about those here. If you want a more comprehensive guide on MECE, check out our dedicated article on MECE .

Basic rule #1: Mutually exclusive

Adherence to this rule ensures that there will be no duplicated efforts, leading to maximum efficiency in problem-solving. It also allows the consultant to isolate the root cause more easily; otherwise, one root cause may manifest in multiple branches, making it harder to pinpoint.

For example, an apparel distributor trying to find out the cause of its decreasing unit sales may use the cleanly-separated product segments: High-end, mid-range, and entry-level. A non-mutually exclusive segmentation here would be: high-end products and footwear.

Basic rule #2: Collectively exhaustive

A collectively exhaustive issue tree also covers only the relevant factors - if one factor is not related to the problem, it must not be included. 

If the aforementioned apparel distributor omits any of the product segments in its analysis, it may also ignore one or a few root causes, leading to ineffective problem-solving. But even if it produces runway-exclusive, not-for-sale pieces, those are not included in the issue tree because they don't contribute to unit sales.

Advanced rule #1: Parallel items

This rule requires that all items are on the same logical level.

High-end, mid-range, and entry-level are three parallel and MECE branches. But if we replace the first two with “high-and-mid-range”, the whole issue tree becomes non-parallel and non-MECE, because the new branch is one level higher than the remaining “entry-level” branch.

Advanced rule #2: Orderly List

This rule requires that all items are arranged in a logical order.

So for our apparel distributor, the branches can be arranged as high-mid-low or low-mid-high. Never go “high-low-mid” or “mid-low-high”, because this arrangement is illogical and counter-intuitive.

Advanced rule #3: The “Rule of Three”

The ideal number of branches on any level of the issue tree is three - the most intuitive number to the human mind.

Three items are often enough to yield significant insights, while still being easy to analyze and follow; segmentations into 2 or 4 are also common. 5 is acceptable, but anything more than that should be avoided.

Our apparel distributor may have dozens of product lines across the segments, but having that same number of branches in the issue tree is counter-intuitive and counter-productive, so we use the much more manageable 3 segments.

Advanced rule #4: No Interlinking Items

There should be minimal, and ideally no connections between the branches of the issue tree. 

If the branches are interlinked, one root-cause may manifest itself in multiple symptoms across the tree, creating unnecessary confusion in the problem-solving process.

Variants of an issue tree

Beside the “why tree” we used to solve why Harley was reporting losses, there are two other common trees, the “which tree” and the “how tree.” The which tree answers which you should do among the choices, and the how tree answers how you should do something.

Why tree helps locate and attack root causes of a problem

We’ve shown you how a why tree could be used to break down a problem into smaller pieces to find the root causes, which involves several important concepts, but in short there are 3 things you need to do:

Locate root causes by narrowing down your search area. To quickly locate root causes, use breakdown by math, process, steps or segment, or any combination of those. We’ll talk about that a bit later

Identify root causes from what you’ve hypothesized. Remember, all hypotheses must be tested with data before reaching a conclusion

Suggest solutions to attack the root causes to eliminate the problem for good. However, sometimes the root causes cannot be solved effectively and efficiently, so we might also try to mitigate their effects

Which tree helps make the most suitable decision

The which tree is a decision-making table combining two separate issue trees – the available options, and the criteria. The options and criteria included must be relevant to the decision-maker. When considering choosing X over something, consultants might take a look at several factors:

Direct benefits: Does X generate more key output on its own?

Indirect benefits: Does X interact with other processes in a way that generates more key output?

Costs: What are the additional costs that X incur?

Risks: Can we accept the risks of either losing some benefits or increasing cost beyond our control?

Feasibility: Do we have enough resources and capability to do X?

Alternative: Are there any other alternatives that are better-suited to our interests?

Additionally, the issue tree in “Should I Do A or B” cases only contains one level. This allows you to focus on the most suitable options (by filtering out the less relevant), ensuring a top-down, efficient decision-making process.

How tree helps realize an objective

The how tree breaks down possible courses of action to reach an objective. The branches of the tree represent ideas, steps, or aspects of the work. A basic framework for a how tree may look like this:

Identify steps necessary to realize the objective

Identify options for each steps

Choose the best options after evaluations

Again, like the two previous types of issue trees, the ideas/steps/work aspects included must be relevant to the task. 

A restaurant business looking to increase its profitability may look into the following ideas:

Consulting frameworks – templates for issue trees

Don’t believe in frameworks….

In management consulting, frameworks are convenient templates used to break down and solve business problems (i.e. drawing issue trees).

So you might have heard of some very specific frameworks such as the 4P/7P, or the 3C&P or whatever. But no 2 cases are the same, and the moment you get too reliant on a specific framework is when you realize that you’re stuck.

The truth is, there is no truly “good” framework you can use. Everyone knows how to recite frameworks, so really you aren’t impressing anyone.

The best frameworks are the simplest, easiest to use , but still help you dig out the root causes.

“Simplest, easiest to use” also means you can flexibly combine frameworks to solve any cases, instead of scrambling with the P’s and the C’s, whatever they mean.

“Simplest, easiest to use” frameworks for your case interviews

There are 5 ways you can break down a problem, either through math, segments, steps, opposing sides or stakeholders.

Math : This one is pretty straightforward, you break a problem down using equations and formulae. This breakdown easily ensures MECE and the causes are easily identified, but is shallow, and cannot guarantee the root causes are isolated. An example of this is breaking down profits = revenues - costs

Segments : You break a whole problem down to smaller segments (duh!). For example, one company may break down its US markets into the Northeast, Midwest, South and West regions and start looking at each region to find the problems 

Steps : You break a problem down to smaller steps on how to address it. For example, a furniture company finds that customers are reporting faulty products, it may look into the process (or steps) on how its products are made, and find the problems within each steps

Opposing sides : You break a problem down to opposing/parallel sides. An example of this is to break down the solution into short-term and long-term 

Stakeholders: You break a problem down into different interacting factors, such as the company itself, customers, competitors, products, etc. 

To comprehend the issue tree in greater detail, check out our video and youtube channel :

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Elevate your case interview skills with a well-rounded preparation package

A case interview is where candidates is asked to solve a business problem. They are used by consulting firms to evaluate problem-solving skill & soft skills

Case interview frameworks are methods for addressing and solving business cases.  A framework can be extensively customized or off-the-shelf for specific cases.

MECE is a useful problem-solving principle for case interview frameworks with 2 parts: no overlap between pieces & all pieces combined form the original item

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• Effective Problem Solving: Tips and Strategies for Management Consulting

Leadership Skills

Effective Problem Solving is a vital skill for management consultants in today's fast-paced and dynamic business world. In order to stay competitive and deliver impactful results, consultants must be able to identify and solve complex problems efficiently and effectively. However, this is easier said than done. Problem solving requires a combination of critical thinking, analytical skills, and creativity.

It also involves understanding the root causes of a problem and developing strategic solutions that address them. In this article, we will explore the key tips and strategies for effective problem solving in management consulting, specifically in the context of leadership skills and decision making. Whether you are a seasoned consultant or just starting out in your career, this article will provide valuable insights and practical advice on how to improve your problem solving skills and become a more successful consultant. So let's dive in and discover the power of effective problem solving!When it comes to running a successful business, problem solving and decision making are crucial skills for any manager or consultant.

In today's competitive market, being able to effectively identify and solve problems is essential for driving growth and staying ahead of the competition. However, it's important to understand that problem solving is not a one-size-fits-all approach. Every business and every problem is unique, which means that different strategies and techniques may be needed for different situations. There are some key principles that can guide your problem solving process and help you achieve success.

2.Analyze the root cause:

3.brainstorm potential solutions:, 4.evaluate and select the best solution:, 5.implement the solution:, 6.monitor and adjust:, project management.

This will help you stay focused and ensure that all team members are on the same page. Next, it is important to create a detailed project plan that outlines the tasks, timelines, and responsibilities of each team member. This will help you stay organized and on track throughout the project. During the execution phase, effective communication is key.

Organizational Development

A strong company culture is the backbone of any successful organization. It sets the tone for how employees interact with each other and with clients, and it can greatly impact productivity and morale. To develop a strong company culture, managers and consultants must first understand the values and beliefs that are important to the organization. This can be achieved through surveys, focus groups, and regular communication with employees. Once these values are identified, they should be integrated into all aspects of the organization, from hiring and onboarding to performance evaluations and team building activities. Teamwork is another essential element of organizational development.

In order to effectively solve problems, teams must be able to work together cohesively and efficiently. This requires clear communication, respect for different perspectives, and a shared sense of purpose. Managers and consultants can foster teamwork by facilitating team building activities, encouraging open communication, and providing opportunities for cross-functional collaboration. Improving overall performance is the ultimate goal of organizational development. By creating a strong company culture and fostering teamwork, managers and consultants can help employees feel more engaged and motivated in their work.

Being able to identify and address issues within a team or project can help prevent setbacks and keep things running smoothly. Effective leaders also know how to delegate tasks and trust their team members to handle them, allowing them to focus on bigger picture strategies and decision making. Another important skill for leaders is communication. Clear and effective communication is crucial for ensuring that everyone is on the same page and working towards the same goals.

Leaders should also be able to listen actively and provide constructive feedback to help their team members grow and improve. Leadership also involves being able to adapt and make quick decisions in times of uncertainty or change. This can be especially important in the fast-paced world of management consulting, where things can shift rapidly. To develop strong leadership skills, it's important to continuously seek out opportunities for growth and learning.

Strategic Planning

One key strategy for developing an effective business plan is to conduct thorough research and analysis. This involves gathering information about the market, competitors, and industry trends. It also includes identifying potential challenges and risks that may arise. By understanding the current landscape, managers and consultants can create a plan that takes into account all relevant factors and positions the business for success.

Another important aspect of strategic planning is setting long-term goals. These goals should be specific, measurable, achievable, relevant, and time-bound (SMART). By setting clear objectives, managers and consultants can focus their efforts and track progress towards achieving them. This also helps in making informed decisions as it provides a benchmark for evaluating the success of the plan.

Effective problem solving in management consulting requires a well-developed strategic plan that outlines clear goals and a roadmap for achieving them. By conducting thorough research and setting SMART goals, managers and consultants can ensure that their decision making is based on informed strategies rather than guesswork. Effective problem solving is a crucial skill for management consulting. By following key principles and utilizing strategies such as strategic planning, organizational development, project management, and leadership skills, you can improve your ability to solve problems and drive business success.

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Learning how to break down and solve complex problems is a core skill you need in today’s business world.

The more complex and multi-faceted your problems are, the more your problem solving skills and techniques will be put to the test.

No one understands this better than some of the world's most highly paid and highly regarded problem solving professionals, the strategy consultants whose fame and fortune is dependent on their ability to quickly break down complex problems and develop effective solutions.

This page details two powerful problem solving techniques you can take from the consulting world to begin breaking down your problems and tackling them like a pro.

Problem Solving Technique #1: Focus On The Key Drivers

When analyzing a complex problem, focus your time and energy on the key drivers and big wins; don't get bogged down in the problem solving minutia. And although this sounds obvious, it is easy to inadvertently end up doing the exact opposite when first applying your problem solving techniques.

Consultants recognize that complex problems can have hundreds, if not thousands, of issues surrounding them and that can it be tempting to dig into and analyze them all for potential solutions. To fight this temptation, one problem solving technique that consultants use is to focus their time and energy on the ' key drivers ' of their problem; in other words, they focus on the largest and most salient aspects of the problem that, if solved, would have the biggest immediate impact.

When problem solving, ask yourself this:

"What are two or three 'key drivers,' or main issues, affecting the problem I am trying to solve?"

For example, if you are hired by an organization to cut costs, think of all the different ways you could potentially help them cut costs. Instead of spinning your wheels analyzing all of the potential cost saving areas, you’re better off focusing on the two or three costs that, if reduced, would have the largest overall impact on the organization.

If you're having trouble finding the key drivers of your problem, use the 80-20 rule to find your problem’s highest value components.

The 80-20 Rule: The Secret to Achieving More with Less

The 80-20 rule, or the Pareto principle, was first adopted as a problem solving technique by a management consultant who coined the phrase after Vilfredo Pareto’s 1906 research in which he observed that 20% of the pea pods in his garden produced 80% of the peas.

This principle has since become known as the 80-20 rule, and simply states that 80% of the effects, come from 20% of the causes. When applied to business, the rule can be used as follows:

• 80% of a company's profits come from 20% of its clients.
• 80% of a company's costs come from 20% of its operations.
• 20% of a company's clients produce 80% of its complaints.

Although this is not a universal principle, the distribution often holds true in many aspects of business and life and, as such, is one of the first problem solving techniques used by consultants to get to the heart of an issue.

For example, using the 80-20 problem solving technique for cutting costs, you could start by asking yourself questions like:

• Which 20% of the company’s divisions are generating 80% of its costs? – Reduce or reorganize the company’s divisions.
• Which 20% of the company’s production costs represent 80% of its cost of goods sold? – Streamline manufacturing processes.
• Which 20% of the company’s marketing costs are generating 80% of its new clients? – Cut the marketing fat.

If this problem solving technique produces too many key drivers, you can narrow them down by asking yourself which of them you can build a strong case for with hard data (see #2).

#2: Build Your Case with Hard Data

When problem solving, gathering and analyzing hard data is critical to effectively building a case for, and eventually selling, a solution.

As such, consultants focus their energy on the key drivers that they can prove or disprove, by gathering and analyzing hard factual data.

Executives are not going to give you the time of day unless you can prove your point with convincing facts and figures. As such, assume that no one will listen to you, or your message, unless you have strong factual evidence to back it up.

Arguably the most famous consulting firm in the world, McKinsey, is notorious for its rigorous data gathering methodologies and problem solving analysis. Why such a focus on hard data? As Ethan Rasiel notes in his book, " The McKinsey Way ", hard data allows McKinsey consultants to quickly achieve two things:

Make Up For Lack Of Gut Instinct

Consultants are typically generalists, which means they lack the 30 or 40 years of in-depth industry experience that their clients often have. Whereas a client might have a “gut” instinct for how to solve a specific problem based on their experience, McKinsey consultants will dig for hard data to prove or disprove their clients' “gut” instinct before moving forward.

Bridge The Credibility Gap

Hard data is objective and tends to be less prone to argument. As such, hard data allows McKinsey consultants, who are typically much younger and greener than their clients, to quickly establish credibility and authority when presenting their problem’s solutions.

Recognizing that hard data will be critical to the success of your problem solving, focus on key drivers that you can back up with hard data given your time constraints.

For example, if your solution to the problem of needing to cut an organization's costs was to reorganize all of its divisions into one location, ask yourself whether or not you can get access to enough hard data to thoroughly prove or disprove your solution. If not, ask for a project extension, break your key driver down into smaller pieces, or pick another key driver to focus on.

Two Data Analysis Tips From McKinsey

A common challenge when problem solving complex issues is knowing where to start and when to stop.

Here are two problem solving tips straight from McKinsey:

Problem Solving Tip #1 – Start With The Outliers:

A great problem solving technique when analyzing large sets of data is to calculate a performance metric around your key drivers and focus on the outliers.

For example, costs per unit per region:

• Positive outliers (low cost per unit) will surface potential best practices you can mimic.
• Negative outliers (high cost per unit) will give you something to immediately figure out and fix.

Problem Solving Tip #2 - Don’t Boil The Ocean:

It’s important to realize that when figuring out how to solve a problem, there is always an enormous amount of research and data analysis you could potentially do.

Instead of trying to perform all of it, which is the equivalent of trying to boil the ocean, McKinsey consultants focus on doing enough research and analysis to thoroughly prove or disprove their key drivers and ignore everything else.

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Develop your interpersonal skills with our series of eBooks. Learn about and improve your communication skills, tackle conflict resolution, mediate in difficult situations, and develop your emotional intelligence.

Although there are many other problem solving skills and techniques you can apply to your problems, these two strategies from the consulting world will help you quickly break down your problems into their core components and more effectively come up with a credible and fact-based solution.

About the Author

Taylor Croonquist is the co-founder of Nuts & Bolts Speed Training which delivers actionable PowerPoint training courses for working professionals who spend hundreds, if not thousands, of hours a year using the program.

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Hello everyone.

And after that I shall continue my travel to Tomsk for 14 days. in Tomsk I'm going to stay at my friend's apartment. I read online that me and my friend should go to the post office or migration office to register my visa, is it complicated to do such thing ?

And what happen after I registered my visa ? Will I get stamped right away on my migration card ? Just incase the policeman stop me on the street or when I wanna go back home the immigration officer going to ask something ?

I hope someone can explain, I am pretty confused..

> I have questions about visa registration

There is no such thing. There is registration with the migration authorities and it applies to all visitors, even those who need no visa to enter Russia at all.

> As for the hotels, they will register my visa once I check in right ?

They are supposed to register YOU, right.

> I read online that me and my friend should go to the post office or migration office to register my visa

Your friend must go to a post office (or an FMS office) with your docs. You can accompany him.

> is it complicated to do such thing ?

If your friend can walk and knows where the nearest post office is then no, it's not complicated.

> Will I get stamped right away on my migration card ?

No, you will get a part of the paper your friend will send to FMS from the post office, It's called a slip. You keep it.

> Just incase the policeman stop me on the street

You show him your registration slip.

> or when I wanna go back home the immigration officer going to ask something ?

The immigration does not care about that, it's none of their business.

Thank you so much for the answers.

If I may ask another questions,

I am trying to get Tourist Visa, and is it going to be a problem if I stay at my friend's apartment ?

because there is one travel agent (The one that I wanted to buy visa invitation from) said, If I wanted to stay at my friend's apartment then its NOT tourist visa, its homestay visa and my friend should do all the works and invitation, not them.

if I want visa support from them (the agency that I wanted to buy visa support), I must paid FULL for all the hotels that I am going to spend in Russia.

I am scared that if I use tourist visa, and when I register at the post office with my friend it will be a problem because its 'Tourist visa' not 'Homestay visa' as they said. This is my first time to Russia so I am sorry if I ask too many stupid questions :|

Thank you for your answers! :)

> I am trying to get Tourist Visa, and is it going to be a problem if I stay at my friend's apartment ?

It shouldn't be - many people are doing that.

> one travel agent ... said, If I wanted to stay at my friend's apartment then its NOT tourist visa, its homestay visa

Theoretically they are right but it's not really enforced. Besides you have said you were going to spend at least one night in a hotel, right? Suppose you are planning to do some tourism first, then visit with your friend then attend a couple of business meetings. What kind of visa are you supposed to apply for in that case? The correct answer: the easiest. The main purpose of your visit is tourism, and the fact that your friend offered to accommodate you for A PART of your stay is an insignificant detail.

> if I want visa support from them (the agency that I wanted to buy visa support), I must paid FULL for all the hotels that I am going to spend in Russia

Run not walk from them - they are crooks. Find a company that would issue you a tourist invitation with no stupid conditions and that would help you with the registration (for an additional fee) IF anything goes wrong with your friend registering you.

Thank you, your answers are ALL making senses!

I guess I was just too nervous and confused by all the visa requirements, registration and all that. I read again and after you explained that registering visa is very easy as you said, just walk into the post office or the migration office.

Yeah, I am still looking for a reliable agents that can issue my visa support.

Although, if you don't mind I have another question :P

I will be landing in Novosibirsk not in Moscow / St. Pete, if the visa support said the "visa support details" that the hotels in Moscow/St. Pete, will it be a problem when I am applying to the Embassy that my ticket is landing in Novosibirsk not in Moscow ?

> I am still looking for a reliable agents that can issue my visa support

If it's so difficult to obtain visa support in your country, MAYBE you should really ask your friend to send you a private/homestay invitation? It's a bit of an extra hassle for your friend but isn't that what friends are for? ;)

> will it be a problem when I am applying to the Embassy that my ticket is landing in Novosibirsk not in Moscow ?

There is actually a contributor by the name of "Schonefeld" who I believe is also from JKT and goes to Russia a lot. Why don't you PM him re details.

Thank you guys for the replies! :)

I will try contact "Schonefeld" and ask him about the visa support.

Marassa, My friend is sooo busy and I don't want to bother his working time, so I think I should find visa support by myself.. its ok ;-)

Thank you soo much!

The embassy is generally not interested in your ticket, in fact they advise not buying the ticket before applying for the visa. They do though ask what cities you will be visiting & this should match your invitations.

Your visa has no restrictions once issued. No point of entry, no city list.

Thank you very much for your answer. I get it now. I found one agent that is pretty much trusted, I will order my visa invitation tomorrow and will apply to the embassy on Friday.

Thank you!! :)

This topic has been closed to new posts due to inactivity.

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37 Facts About Novosibirsk

Written by Adelice Lindemann

Modified & Updated: 25 Jun 2024

Reviewed by Sherman Smith

Novosibirsk, often referred to as the “Capital of Siberia,” is a vibrant and dynamic city located in southwestern Russia. With a population exceeding 1.5 million residents, it is the third most populous city in Russia and serves as the administrative center of the Novosibirsk Oblast.

Nestled along the banks of the Ob River, Novosibirsk is renowned for its rich cultural heritage, scientific advancements, and picturesque landscapes. As the largest city in Siberia, it offers a perfect blend of modern and traditional attractions, making it a fascinating destination for both locals and tourists.

In this article, we will delve into 37 interesting facts about Novosibirsk, shedding light on its history, architecture, natural wonders, and cultural significance. Whether you are planning a visit or simply curious about this intriguing city, these facts will give you a deeper understanding of what Novosibirsk has to offer.

Key Takeaways:

• Novosibirsk, the “Capital of Siberia,” is a vibrant city with a rich cultural scene, stunning natural landscapes, and a strong sense of community, offering a high quality of life for its residents.
• From being a major industrial and transportation hub to hosting world-class cultural institutions and scientific research centers, Novosibirsk is a dynamic city with a diverse culinary scene and a thriving IT and tech industry.

Novosibirsk is the third-largest city in Russia.

Situated in southwestern Siberia, Novosibirsk has a population of over 1.6 million people, making it one of the largest and most vibrant cities in the country.

The city was founded in 1893.

Novosibirsk was established as a railway junction on the Trans-Siberian Railway, playing a significant role in the development of Siberia.

It is known as the “Capital of Siberia”.

Due to its economic and cultural significance, Novosibirsk is often referred to as the capital of Siberia.

Novosibirsk is a major industrial center.

The city is home to a wide range of industries, including machinery manufacturing, chemical production, energy, and metallurgy .

It is famous for its scientific and research institutions.

Novosibirsk hosts several renowned scientific and research institutions, contributing to advancements in various fields including nuclear physics, chemistry, and biotechnology.

The Novosibirsk Opera and Ballet Theatre is one of the largest in Russia.

This iconic cultural institution showcases world-class ballet and opera performances and is a must-visit for art enthusiasts visiting the city .

The city has a vibrant theater scene.

Novosibirsk boasts numerous theaters, showcasing a wide variety of performances from traditional plays to experimental productions.

Novosibirsk is a major transportation hub.

Thanks to its strategic location on the Trans-Siberian Railway, the city serves as a crucial transportation hub connecting Siberia with other regions of Russia .

The Ob River flows through Novosibirsk.

The majestic Ob River adds to the city’s natural beauty and provides opportunities for recreational activities such as boating and fishing.

Novosibirsk is known for its harsh winter climate.

With temperatures dropping well below freezing in winter, the city experiences a true Siberian winter with snowy landscapes.

The Novosibirsk Zoo is one of the largest and oldest in Russia.

Home to a wide variety of animal species, including rare and endangered ones, the Novosibirsk Zoo attracts visitors from near and far.

Novosibirsk is a center for academic excellence.

The city is home to Novosibirsk State University, one of the top universities in Russia, renowned for its research and education programs.

The Novosibirsk Metro is the newest metro system in Russia.

Opened in 1985, the Novosibirsk Metro provides efficient transportation for residents and visitors alike.

Novosibirsk is surrounded by picturesque nature.

Surrounded by stunning landscapes, including the Altai Mountains and the Novosibirsk Reservoir, the city offers numerous opportunities for outdoor activities.

The Novosibirsk State Circus is famous for its performances.

Showcasing talented acrobats , clowns, and animal acts, the Novosibirsk State Circus offers entertaining shows for all ages.

Novosibirsk is home to a thriving art scene.

The city is dotted with art galleries, showcasing the works of local and international artists .

Novosibirsk has a diverse culinary scene.

From traditional Russian cuisine to international flavors, the city offers a wide range of dining options to satisfy all taste buds.

The Novosibirsk State Museum of Local History is a treasure trove of historical artifacts.

Exploring the museum gives visitors an insight into the rich history and culture of the region.

Novosibirsk is known for its vibrant nightlife.

The city is home to numerous bars, clubs, and entertainment venues, ensuring a lively atmosphere after dark.

Novosibirsk has a strong ice hockey tradition.

Ice hockey is a popular sport in the city, with local teams competing in national and international tournaments.

The Novosibirsk State Philharmonic Hall hosts world-class musical performances.

Music lovers can enjoy classical concerts and symphony orchestra performances in this renowned venue.

Novosibirsk is home to the Akademgorodok, a scientific research town.

Akademgorodok is a unique scientific community located near Novosibirsk, housing numerous research institutes and academic organizations.

Novosibirsk has a unique blend of architectural styles.

The city features a mix of Soviet-era buildings, modern skyscrapers, and historic structures, creating an eclectic cityscape.

Novosibirsk is an important center for ballet training and education.

The city’s ballet schools and academies attract aspiring dancers from across Russia and abroad.

Novosibirsk is a gateway to the stunning Altai Mountains.

Located nearby, the Altai Mountains offer breathtaking landscapes, hiking trails, and opportunities for outdoor adventures.

Novosibirsk hosts various cultural festivals throughout the year.

From music and theater festivals to art exhibitions, the city’s cultural calendar is always packed with exciting events.

Novosibirsk is a green city with numerous parks and gardens.

Residents and visitors can enjoy the beauty of nature in the city’s well-maintained parks and botanical gardens.

Novosibirsk is a center for technology and innovation.

The city is home to several technology parks and innovation centers, fostering the development of cutting-edge technologies.

Novosibirsk has a strong sense of community.

The residents of Novosibirsk are known for their hospitality and friendly nature, making visitors feel welcome.

Novosibirsk is a paradise for shopping enthusiasts.

The city is dotted with shopping malls, boutiques, and markets, offering a wide range of shopping options.

Novosibirsk has a rich literary heritage.

The city has been home to many famous Russian writers and poets, and their works are celebrated in literary circles.

Novosibirsk is a popular destination for medical tourism.

The city is known for its advanced medical facilities and expertise, attracting patients from around the world.

Novosibirsk has a well-developed public transportation system.

With buses, trams, trolleybuses, and the metro, getting around the city is convenient and efficient.

Novosibirsk is a city of sport.

The city has a strong sports culture, with numerous sports facilities and opportunities for athletic activities .

Novosibirsk has a thriving IT and tech industry.

The city is home to numerous IT companies and startups, contributing to the development of the digital economy.

Novosibirsk celebrates its anniversary every year on July 12th.

The city comes alive with festivities, including concerts, fireworks, and cultural events, to commemorate its foundation.

Novosibirsk offers a high quality of life.

With its excellent educational and healthcare systems, cultural amenities, and vibrant community, Novosibirsk provides a great living environment for its residents.

Novosibirsk is a fascinating city filled with rich history, stunning architecture, and a vibrant cultural scene. From its origins as a small village to becoming the third-largest city in Russia, Novosibirsk has emerged as a major economic and cultural hub in Siberia . With its world-class universities, theaters, museums, and natural attractions, Novosibirsk offers a myriad of experiences for visitors.

Whether you’re exploring the impressive Novosibirsk Opera and Ballet Theater, strolling along the picturesque banks of the Ob River, or immersing yourself in the city’s scientific and technological achievements at the Akademgorodok, Novosibirsk has something for everyone.

From its iconic landmarks such as the Alexander Nevsky Cathedral to its vibrant festivals like the International Jazz Festival , Novosibirsk has a unique charm that will captivate any traveler. So, make sure to include Novosibirsk in your travel itinerary and discover the hidden gems of this remarkable city.

Q: What is the population of Novosibirsk?

A: As of 2021, the estimated population of Novosibirsk is around 1.6 million people.

Q: Is Novosibirsk a safe city to visit?

A: Novosibirsk is generally considered a safe city for tourists. However, it is always recommended to take standard precautions such as avoiding unfamiliar areas at night and keeping your belongings secure.

Q: What is the best time to visit Novosibirsk?

A: The best time to visit Novosibirsk is during the summer months of June to September when the weather is pleasant and suitable for outdoor activities. However, if you enjoy the winter chill and snow, visiting during the winter season can also be a unique experience.

Q: Are there any interesting cultural events in Novosibirsk?

A: Yes, Novosibirsk is known for its vibrant cultural scene. The city hosts various festivals throughout the year, including the International Jazz Festival, Novosibirsk International Film Festival, and the Siberian Ice March Festival.

Q: Can I visit Novosibirsk without knowing Russian?

A: While knowing some basic Russian phrases can be helpful, many establishments in Novosibirsk, especially tourist areas, have English signage and staff who can communicate in English. However, learning a few essential Russian phrases can enhance your travel experience.

Novosibirsk's captivating history and vibrant culture make it a must-visit destination for any traveler. From its humble beginnings as a small settlement to its current status as Russia's third-largest city, Novosibirsk has a story worth exploring. If you're a sports enthusiast, don't miss the opportunity to learn more about the city's beloved football club , FC Sibir Novosibirsk. With its rich heritage and passionate fan base, the club has become an integral part of Novosibirsk's identity.

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