Product Management · By Mohit Agarwal (PM Skills)

A/B Test Planner

Design product experiments with clear hypotheses, metrics, sample sizes, and decision rules.

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
Made byMohit Agarwal (PM Skills)
CategoryProduct Management