Conversion
A/B testing is a discipline, not a button-color contest
The operating conditions that turn isolated tests into organizational learning.
A test needs a decision
Start with a meaningful customer or business question. A hypothesis should explain the observed problem, the proposed change and the behavior expected to move. Testing random variations creates numbers, not knowledge.
Protect the signal
Agree on the primary measure, guardrail measures, audience and duration before launch. Avoid stopping early because the result looks exciting. Statistical discipline protects the team from confident mistakes.
Share what was learned
The value of experimentation compounds when results are documented and reusable. Record the context, hypothesis, outcome and next implication so future work begins from evidence rather than memory.