What it is
This skill helps product managers and growth teams plan rigorous A/B tests for features, pricing, UI changes, and onboarding flows. It calculates sample sizes, estimates test duration, defines success metrics, and provides a decision framework for interpreting results. You get a complete test plan that prevents common pitfalls like peeking early or shipping inconclusive results.
What it does
- Creates structured test plans with hypothesis, variants, metrics, and decision criteria
- Calculates required sample size and estimates how long your test needs to run
- Defines primary success metrics and guardrail metrics to protect key business outcomes
- Provides a results interpretation guide so you know when to ship, iterate, or stop
- Flags risks like low traffic, multiple comparisons, and premature result-checking
Use it when
- You're planning to test a new feature, pricing change, or UI redesign
- You need to know how many users and how long a test requires
- You want a clear decision framework before launching an experiment
- You're unsure whether your test setup will produce trustworthy results
Add this skill to your AI
Copy the source URL and ask your AI to add it. Most coding agents — Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Windsurf — will fetch and install it for you.
Try this prompt:
Add this skill to my project: https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ab-test-planner