Features and Capabilities. A Feature represents solution functionality that delivers business value, fulfills a stakeholder need, and is sized to be delivered by an Agile Release Train within a PI. Each feature includes a benefit hypothesis and acceptance criteria and is sized or split as necessary to be delivered by a single Agile Release ...
Writing effective Features
A feature is a service that fulfils a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile ...
Forming experimental product hypotheses
A hypothesis is a statement made with limited knowledge about a given situation that requires validation to be confirmed as true or false to such a degree where the team can continue their ...
Every Feature Needs a Hypothesis
A correlating feature hypothesis might be, "If we provide the ability for users to reset their own password securely, we will reduce the call centre volumes by 90% (3,150 incidents) per month ...
Features and Capabilities
Features and Capabilities. A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). A Capability is a higher-level solution behavior that typically spans ...
How to Generate and Validate Product Hypotheses
Hint: it's the same as the other hypothesis examples we've described so far. Example: If we change the landing page copy, then the number of signups will increase. Null hypothesis: A statement you want to disprove by running an experiment and analyzing the results. It predicts that your new feature or change to the user experience will not ...
Product Hypotheses: How to Generate and Validate Them
Product Hypothesis Examples. To demonstrate how to formulate your assumptions clearly, here are several more apart from the example of a hypothesis statement given above: Adding a wishlist feature to the cart with the possibility to send a gift hint to friends via email will increase the likelihood of making a sale and bring in additional sign-ups.
The Power of Feature Hypotheses
The main objective was to go over a practical example from one of our feature teams and convert an existing feature into a 'valuable feature hypothesis statement'. [If you are unfamiliar with the Lean Startup concept of hypotheses, please see supporting post: Using Hypothesis Statements for Features in Software Development]
How to write an effective hypothesis
Effective hypothesis crafting is at the center of product management. It's the link between dealing with risks and coming up with solutions that are both viable and valuable. However, it's important to recognize that the formulation of a hypothesis is just the first step. The real value of a hypothesis is made possible by rigorous testing.
Hypothesis-driven practices to build better features
3. Test. Testing a hypothesis actually means running an experiment. The goal of a test is to validate whether your hypothesis is true, or not. To do so, you will use your artifact and start ...
Preparing Features for PI Planning
The Feature has a well understood, measurable benefits hypothesis. The Feature has a clear owner ... For example the specific actuarial calculations to be used in an insurance system. This checklist, as shown in Figure 1, is also available as one of a set of 6 mini-checklist cards that together define the lifecycle of a Feature.
SAFe Requirements Model
Figure 1. SAFe Requirements Model. For example, a Feature is described by a phrase, benefit hypothesis, and acceptance criteria; a Story is elaborated by a user-voice statement and acceptance criteria. These artifacts mostly replace the traditional system and requirements specifications with new paradigms based on Lean-Agile development.
The ART of SAFe: Effective Feature Templates for SAFe
Introduction. Features are the key vehicle for value flow in SAFe, yet they are also the source of much confusion amongst those implementing it. The framework specifies that "Each feature includes a Benefit Hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program ...
Hypothesis-driven product management
An example of a good hypothesis would be, Introducing a new literature review feature that simplifies reader workflow will increase the average time a researcher spends on our site. To be more efficient, draft strong hypothesis statements that deliver impactful outcomes with minimal effort.
Feature Flags for Hypothesis-Driven Problem Solving
Feature flags can be instrumental in formulating hypothesis-driven solutions. Teams can create assumptions about user behavior or the impact of a feature, then use feature flags to control its exposure for testing these assumptions. Once the hypothesis is formed, feature flags enable the testing of this hypothesis in a real-world environment.
How to Write a Strong Hypothesis
Developing a hypothesis (with example) Step 1. Ask a question. Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project. Example: Research question.
How do you apply hypothesis testing to your features?
How do I apply hypothesis testing to decide whether that feature is useful or not? I am just a bit confused about what my null hypothesis would be, level of significance and how to run the experimentation to get the p-value of the feature (I have heard that a level of significance of 0.15 is a good threshold, but I am not sure). For example.
Confused about SAFe epics? Follow this real-world example
Figure 5. Relationships between value streams, products, epics, business cases, and features in SAFE. Here you can see that products are funded by value streams. Horizon 3 work is also funded by the value stream and can be managed as stories, features, or epics depending on how big the effort is. The most common, however, is a feature or story.
P value and Feature Selection
Hypothesis Testing: In feature selection, you typically start with the null hypothesis (H0) that there is no significant relationship between the feature and the target variable. ... For example ...
IMAGES
VIDEO
COMMENTS
Features and Capabilities. A Feature represents solution functionality that delivers business value, fulfills a stakeholder need, and is sized to be delivered by an Agile Release Train within a PI. Each feature includes a benefit hypothesis and acceptance criteria and is sized or split as necessary to be delivered by a single Agile Release ...
A feature is a service that fulfils a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile ...
A hypothesis is a statement made with limited knowledge about a given situation that requires validation to be confirmed as true or false to such a degree where the team can continue their ...
A correlating feature hypothesis might be, "If we provide the ability for users to reset their own password securely, we will reduce the call centre volumes by 90% (3,150 incidents) per month ...
Features and Capabilities. A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). A Capability is a higher-level solution behavior that typically spans ...
Hint: it's the same as the other hypothesis examples we've described so far. Example: If we change the landing page copy, then the number of signups will increase. Null hypothesis: A statement you want to disprove by running an experiment and analyzing the results. It predicts that your new feature or change to the user experience will not ...
Product Hypothesis Examples. To demonstrate how to formulate your assumptions clearly, here are several more apart from the example of a hypothesis statement given above: Adding a wishlist feature to the cart with the possibility to send a gift hint to friends via email will increase the likelihood of making a sale and bring in additional sign-ups.
The main objective was to go over a practical example from one of our feature teams and convert an existing feature into a 'valuable feature hypothesis statement'. [If you are unfamiliar with the Lean Startup concept of hypotheses, please see supporting post: Using Hypothesis Statements for Features in Software Development]
Effective hypothesis crafting is at the center of product management. It's the link between dealing with risks and coming up with solutions that are both viable and valuable. However, it's important to recognize that the formulation of a hypothesis is just the first step. The real value of a hypothesis is made possible by rigorous testing.
3. Test. Testing a hypothesis actually means running an experiment. The goal of a test is to validate whether your hypothesis is true, or not. To do so, you will use your artifact and start ...
The Feature has a well understood, measurable benefits hypothesis. The Feature has a clear owner ... For example the specific actuarial calculations to be used in an insurance system. This checklist, as shown in Figure 1, is also available as one of a set of 6 mini-checklist cards that together define the lifecycle of a Feature.
Figure 1. SAFe Requirements Model. For example, a Feature is described by a phrase, benefit hypothesis, and acceptance criteria; a Story is elaborated by a user-voice statement and acceptance criteria. These artifacts mostly replace the traditional system and requirements specifications with new paradigms based on Lean-Agile development.
Introduction. Features are the key vehicle for value flow in SAFe, yet they are also the source of much confusion amongst those implementing it. The framework specifies that "Each feature includes a Benefit Hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program ...
An example of a good hypothesis would be, Introducing a new literature review feature that simplifies reader workflow will increase the average time a researcher spends on our site. To be more efficient, draft strong hypothesis statements that deliver impactful outcomes with minimal effort.
Feature flags can be instrumental in formulating hypothesis-driven solutions. Teams can create assumptions about user behavior or the impact of a feature, then use feature flags to control its exposure for testing these assumptions. Once the hypothesis is formed, feature flags enable the testing of this hypothesis in a real-world environment.
Developing a hypothesis (with example) Step 1. Ask a question. Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project. Example: Research question.
How do I apply hypothesis testing to decide whether that feature is useful or not? I am just a bit confused about what my null hypothesis would be, level of significance and how to run the experimentation to get the p-value of the feature (I have heard that a level of significance of 0.15 is a good threshold, but I am not sure). For example.
Figure 5. Relationships between value streams, products, epics, business cases, and features in SAFE. Here you can see that products are funded by value streams. Horizon 3 work is also funded by the value stream and can be managed as stories, features, or epics depending on how big the effort is. The most common, however, is a feature or story.
Hypothesis Testing: In feature selection, you typically start with the null hypothesis (H0) that there is no significant relationship between the feature and the target variable. ... For example ...