Individual skill

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.

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# Experiment Sensitivity Optimization

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.

## Source Traceability

Primary source: *Next-Level A/B Testing* by Leemay Nassery. Guidance is
transformed and paraphrased from Chapter 3 on experiment design, sensitive
metrics, minimum detectable effect, capping, reducing variants, and CUPED; and
Chapter 6 on stratified random sampling and covariate adjustments.