ab-test-planning

Plans statistically sound A/B tests: hypothesis framing, metric and guardrail selection, sample-size and duration calculation with a local Python helper, traffic allocation, variant design, launch checklists, peeking discipline, and results documentation. Use when the user says "set up an A/B test", "split test this page", "how long should this experiment run", "how many visitors do I need", "is my result significant", or "write a test plan". Not for building analytics event tracking, generating CRO test ideas, or writing variant copy.

Version

v1.0.0

Size

16 KB

Updated

2026-10-02

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