define-hypothesis

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Defines a testable hypothesis with clear success metrics and validation approach. Use when forming assumptions to test, designing experiments, or aligning team on what success looks like.

AI & Automation 290 stars 40 forks Updated yesterday Apache-2.0

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Skill Content

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> # Hypothesis A hypothesis is a testable prediction about how a change will affect user behavior or business outcomes. It transforms assumptions into explicit statements that can be validated or invalidated through experimentation. Well-formed hypotheses prevent teams from building features based on untested beliefs and create shared understanding of what success looks like. ## When to Use - After problem framing, before committing to a solution - When designing experiments or A/B tests - When team members have differing assumptions about user behavior - Before investing significant engineering resources in a feature - When pivoting direction and need to validate the new approach ## Instructions When asked to create a hypothesis, follow these steps: 1. **State the Belief** Articulate what you believe will happen. Use the structured format: "We believe that [action/change] for [target user] will [expected outcome]." Be specific about the intervention . vague hypotheses can't be tested. 2. **Identify the Target User** Define who this hypothesis applies to. A hypothesis about "users" is too broad. Specify the segment: new users in their first week, power users with 10+ sessions, churned users returning, etc. 3. **Define the Expected Outcome** What behavior change or result do you expect? Frame it in terms of user actions (complete onboarding, make a purchase, return within 7 days) r...

Details

Author
product-on-purpose
Repository
product-on-purpose/pm-skills
Created
5 months ago
Last Updated
yesterday
Language
JavaScript
License
Apache-2.0

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