Activation A/B Test Tracker

Most A/B test trackers are built for documenting results. This one is built for running programs. It covers the full activation experiment lifecycle — hypothesis intake, sample size calculation, running status, significance analysis, and decision rationale — in a single structured workspace. The Hypothesis Backlog prevents good ideas from disappearing between sprints. The Experiments sheet enforces the statistical inputs that make results defensible: baseline conversion rate, required sample size, confidence level, and relative lift. The Experiment Pipeline Kanban makes the program visible at a glance. Built from the methodology used at Nearpod (acquired for $650M). For growth PMs and product managers who run activation experiments and need results that hold up in review.