CRO Glossary

Canary testing releases new features to a small user group first, helping teams detect issues early before a full rollout and reduce deployment risk.

An experimentation framework is a structured system for testing hypotheses, collecting reliable data, and making evidence-based product decisions.

A clear guide to multivariate testing: how it works, when to use it, and practical steps for improving conversions with data-backed decisions.

A test hypothesis is a clear, data-backed statement predicting how a specific change will impact user behavior and guide reliable digital experimentation.

A Type 2 error happens when you fail to reject a false null hypothesis. Learn its meaning, causes, and examples to understand how it affects stats decisions.