Experiment Sensitivity Optimization
Improve experiment sensitivity and reduce traffic or duration requirements. Use when choosing sensitive metrics, working with minimum detectable effect, reducing variants, applying capping metrics, CUPED, variance reduction, or deciding how to get trustworthy A/B test signal with fewer users.
Product Managementv0.1.0MITpractical-ab-testingnext-level-ab-testingab-testingexperimentationmetrics
Install
npx skills add LVTD-LLC/skills --skill experiment-sensitivity-optimizationFrom `SKILL.md`
Use this skill to redesign an experiment so it can detect meaningful effects with fewer users, less time, or clearer metrics. It focuses on minimum detectable effect, metric sensitivity, capping, variant reduction, CUPED, and variance reduction.