Experimentation and A/B Testing at Scale
Estimate sample size with power analysis, randomize assignment, and pre-register primary metrics. Set a metric hierarchy to avoid p-hacking, and keep tests stable long enough to capture weekly cycles. Clear protocols create credible, repeatable wins.
Experimentation and A/B Testing at Scale
Use multivariate tests when interactions matter, and bandit algorithms when rapid adaptation beats strict certainty. Define guardrail metrics to protect user experience, and cap exploration cost. Choose techniques that match stakes, timelines, and available traffic.