A/B Test Setup
Expert guidance for designing statistically valid A/B tests and experiments. Helps establish hypotheses, calculate sample sizes, and implement rigorous testing methodologies to produce actionable results.
🚀 Design statistically valid A/B tests that deliver actionable results. This skill guides you through building strong hypotheses, selecting the right test type, and calculating sample sizes needed for reliable conclusions. Whether you're testing a button color or a major page redesign, you'll learn to test one variable at a time and measure what actually matters to your business.
💡 Perfect for optimizing conversion rates, improving user experience, or validating product changes. Use it to structure experiments for websites, apps, or marketing campaigns—from simple split tests comparing two versions to complex multivariate tests exploring multiple changes simultaneously.
✨ Get built-in frameworks for hypothesis writing, sample size tables for quick reference, and guardrails to prevent costly mistakes like stopping tests early or measuring the wrong metrics.
Requirements
No additional requirements.