Randomization reduces systematic differences between groups, while exposure logging connects each user or request to its variant. Statistical analysis should account for sample size, duration, guardrail metrics, and repeated decisions.
A/B testing compares two system variants by randomly assigning eligible traffic and measuring predefined outcomes.
Randomization reduces systematic differences between groups, while exposure logging connects each user or request to its variant. Statistical analysis should account for sample size, duration, guardrail metrics, and repeated decisions.