Name:

Observed problem: which real data or playthroughs demonstrate it.

Hypothesis: if we change …, then …, because …

Audience and enrollment point: who enters the test, when, and why.

Control A / variant B: exact values and behavior; what remains the same.

Primary metric: one metric; its exact definition, period, and basis of calculation.

Diagnostics: funnel steps and events that explain the mechanism.

Guardrails: which regressions are unacceptable and how they will be checked.

Measurement plan: rollout, allocation, duration, MDE, audience sufficiency, and D7 maturity.

Technical validation: both variants, errors, logging, and default behavior on failure.

Emergency stop conditions: a failure, loss of progress, or another material harm defined in advance.

Decision: implement / keep A / insufficient data / run a new test. Results, intervals, and limits of the conclusion.

After implementation: who checks the result, when, and which signals would require a return to the previous behavior.