ab-test-setup

A/B test sample size calculation requires defining your baseline conversion rate, minimum detectable effect, and statistical significance thresholds. This Skill provides sample sizing templates that factor in test duration considerations to ensure robust experiment design.

Hypothesis formulation for product experimentation involves structuring observations into testable predictions with clear success criteria. This Skill provides a hypothesis framework that translates qualitative insights into structured, measurable predictions ready for A/B test validation.

Yes, this A/B testing framework supports standard test types including A/B, A/B/n, and MVT (multivariate testing). It provides specific guidance on variant creation and test execution across web and product experiences for each supported experiment type.

Guardrail metrics protect experiment results by monitoring critical business indicators for unexpected degradation during A/B test execution. This Skill helps you define primary, secondary, and guardrail metrics alongside governance checklists to maintain test integrity.

Yes, this Skill provides documentation templates and best-practice checklists for planning, running, and reporting A/B tests. These templates cover the entire experiment workflow, ensuring consistent documentation across web and product experience tests.