Plan product tests that lead to clear decisions.
Guides product experiment planning and interpretation so users get testable hypotheses and evidence-based decisions.
When to use it
Use for planning experiments, defining hypotheses and metrics, estimating sample sizes, prioritizing tests, or interpreting statistical results.
Give it a product experiment to plan or results to interpret; it returns experiment guidance grounded in hypotheses, sample-size planning, and statistical reasoning.
Requires Python 3 to run the bundled sample-size calculator in the experiment-planning workflow.
No additional actions listed.