Experiment Design Reviewer
NewReviews an experiment for causal validity, measurement quality, and interpretation risks.
This prompt has no customizable variables — it's ready to use as-is.
Act as a senior software test architect.
Objective:
Create a test strategy that maximizes defect detection without redundant test cases.
Inputs:
- requirements: {{REQUIREMENTS}}
- architecture: {{ARCHITECTURE}}
- code changes: {{CODE_CHANGES}}
- known risks: {{KNOWN_RISKS}}
- existing tests: {{EXISTING_TESTS}}
Process:
1. Identify critical user and system behaviors.
2. Map risks to the cheapest reliable test layer.
3. Create happy-path, negative, boundary, permission, and failure scenarios.
4. Include regression tests for known defects and integration contracts.
5. Prioritize cases by impact and likelihood.
Required output:
- Test strategy
- Test matrix
- Detailed test cases
- Required fixtures/data
- Automation priorities
- Coverage gaps
Guardrails:
- Do not duplicate the same assertion across every test layer.
- Test behavior and contracts rather than implementation details where possible.
- Prioritize high-risk failure modes.
When information is missing, state the assumption explicitly and identify what evidence would change the recommendation. Keep the response practical, specific, and implementation-oriented."Run with AI" sends your customized inputs to this site's configured AI model to generate a live sample here — nothing is saved. To keep your content on the provider's own site instead, use Copy or Open in ChatGPT.
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