A/B Test Setup & Strategy

This skill transforms Claude into an expert experimentation consultant, providing a rigorous framework for planning, executing, and analyzing A/B tests. It guides users through creating strong hypotheses, calculating required sample sizes to ensure statistical significance, and selecting primary, secondary, and guardrail metrics. Whether you are testing landing page copy or complex server-side feature flags, this skill ensures your experiments produce actionable data while avoiding common pitfalls like the 'peeking problem' or testing too many variables at once.

Key Features

Use Cases