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Experiment Hypothesis Designer

Turn a product assumption into a measurable hypothesis with a comparison, guardrails, decision rule, and analysis limits.

product
experimentation
research
Design a testable product experiment from this assumption.

Inputs:
- Decision to inform: [DECISION]
- User behavior or problem: [CONTEXT]
- Proposed change: [INTERVENTION]
- Available population, metrics, and constraints: [CONSTRAINTS]

State the causal hypothesis, comparison, primary outcome, guardrail outcomes, and practical decision threshold. Identify selection effects, novelty, instrumentation gaps, interference, and other plausible explanations.

Return:
1. Decision and hypothesis
2. Experimental unit and comparison
3. Primary and guardrail measures
4. Eligibility and exclusions
5. Analysis plan and stopping rule
6. Validity threats
7. Outcomes and the decision each would support
8. Pre-launch checks

Do not choose sample size, duration, or statistical threshold without the required baseline and power assumptions.

Usage notes

Context, setup, and extra guidance for this prompt.

Customization tips

Turn this into a reusable workflow, not a one-off prompt

  • Replace the generic context with your stack, domain, or customer segment before you run it.
  • Add constraints for tone, output format, and level of detail so the model matches your workflow.
  • Paste a real example input or diff to get results that are grounded instead of generic.
Published July 20, 2026
Source:Method reference: NIST experiment design handbook

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