Hypothesis design
Formulate clear, testable hypotheses for product experiments. Use when designing experiments to validate solutions.From its SKILL.md
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SKILL.md
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Product Hypothesis Design
Formulate clear, testable hypotheses for product experiments.
When to Use
When you have a product problem and need to design an experiment to validate a solution.
The Process
1. Identify the Experiment Goal
- What user problem are you addressing?
- What change do you think will help?
2. Draft Hypothesis Statement
Use this structure:
[Action] will cause [Outcome] to [Direction] for [Users] under [Conditions]
All 5 components required:
- Action: What you're doing
- Outcome: What metric changes
- Direction: Increase/decrease/improve
- Users: Who's affected
- Conditions: When/where this applies
3. Check for Specificity
- Is the action clearly defined?
- Is the outcome measurable?
- Are users and conditions specific?
4. Develop Measurement Plan
- What metrics prove success?
- How will you collect data?
- What's the sample size?
5. Narrative Check
Convert to story format:
Currently, [user] is experiencing [problem].
We believe that by [change], we'll see [outcome].
We'll know we're right when [metric] changes by [amount].
Quality Check
- Is the hypothesis falsifiable?
- Can you measure the outcome?
- Is the timeframe realistic?
- Are success criteria clear?
When Not to Use
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
What ships with it: 1 file
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- openai.yaml196 B