Plan A/B tests with clear metrics and sample sizes.
Designs A/B tests that produce actionable results with statistical rigor.
When to use it
Use when the user wants to plan, design, or implement an A/B test or experiment.
Give it an experiment to design or analyze; it returns a test brief, planning calculations, checklists, or a results report.
Requires Python 3 to run the mandatory bundled sample-size calculator.
Must be loaded before test design to align hypotheses with the ideal customer profile and positioning.
Routes measurement-infrastructure setup before running tests to this skill; whether it must be installed to complete every workflow is unstated.
No additional actions listed.