A/B 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.

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

What to give it

• What is being tested — feature, UI change, copy, pricing, onboarding step
• Hypothesis — or ask to help formulate one
• Primary metric — conversion rate, click-through, completion rate, etc.
• Baseline rate — and minimum detectable effect (MDE)
• Daily eligible users — to calculate duration

Example output

Input: Test whether moving the signup CTA above the fold on the pricing page increases free-trial starts. Current trial-start rate 8%, ~20k weekly visitors. We want to detect a 10% relative lift. · generated by claude-sonnet-4-6

Related skills