Data Science & Analytics
Ab Test Planner
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
- Publisher / source
- mohitagw15856/pm-claude-skills (found on the CSV list)
- Upstream record
- mohitagw15856/pm-claude-skills
- Version
- Version 2
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-03
- Content fingerprint
f26f6efd8af1a054c896c1d05dd3959ea4c1823d5b95af226f32f37970b5150a