Ab Test Setup

This handles the full A/B testing workflow from hypothesis formation to statistical analysis. It walks you through proper test design, calculates sample sizes, helps you avoid the classic "peeking problem" where you stop tests early, and includes frameworks for building ongoing experimentation programs with ICE scoring. The skill catches when you're comparing two approaches and pushes you toward statistical rigor rather than gut decisions. It's particularly strong on the methodology side, with sample size tables and analysis checklists that prevent the common mistakes that make most A/B tests worthless.