A/B Test Planner Skill

Design experiments that produce trustworthy results — not just directional signals. Every test output includes hypothesis, success metrics, sample size, duration, and a results interpretation guide.

Required Inputs

Ask the user for these if not provided:

• 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)

Experiment Design Checklist