Design, plan, and analyze A/B tests with statistical rigor.
npx skills add https://github.com/Rollandcodes/BizAI --skill ab-test-setup-rollandcodes
Please help me install this Agent Skill. Skill: ab-test-setup Source: https://github.com/Rollandcodes/BizAI/tree/main/SKILL.md/skills/ab-test-setup Command: npx skills add https://github.com/Rollandcodes/BizAI --skill ab-test-setup-rollandcodes
Design, plan, and analyze statistically rigorous A/B tests to validate product decisions and optimize outcomes.
Draft a complete A/B test plan for a target feature including hypothesis, primary metric, expected lift, sample size, traffic split, duration, and decision criteria.
High-intent search queries and answers about installing and using this skill.
Sample size calculation for A/B testing requires expected lift, baseline conversion rates, and statistical power analysis to determine required traffic and test duration.
Variant testing hypotheses translate product intuition into testable statements, defining primary and secondary metrics to validate product decisions with statistical rigor.
Standard A/B tests validate single variable changes, while MVT evaluates multiple variables simultaneously. Guidance covers variant design across A/B, A/B/n, MVT, and split URL tests.
Peeking inflates false positive rates in A/B testing. Proper result interpretation requires predefined decision criteria and protection against premature evaluation of statistical significance.
Yes, controlled experiments apply to features, pricing, messaging, and UX changes across web and mobile platforms, requiring defined traffic splits and duration.
Document A/B test plans and results using templates that capture hypothesis, primary metric, expected lift, sample size, traffic split, duration, and statistical significance interpretation.
Productfculty-aipmDesign A/B tests with sample size, duration, and analysis plans.
Greenmamba29Analyzes A/B test results using statistical methods to determine significance and winner outcomes.
hellobanoraTrack GA4, Vercel Analytics, Search Console, and conversion events on healthcare sites.
olavocarvalhoAnalyze A/B test data with Frequentist and Bayesian significance testing.
