- In short
- A structured Claude A/B test has five components: a hypothesis, a treatment group, a control group, a primary metric, and a sample size large enough for statistical meaning. Because LLM outputs are probabilistic, results are noisier and interaction effects harder to control than in deterministic A/B testing. Assignment to treatment or control must be random and consistent per user or session to avoid contamination, and the primary metric must be defined before the experiment runs, not chosen after seeing results.
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