Experiment Stopping Rule Review

Check whether a marketing test has a declared success metric and stopping rule before interpreting its results.

What to provide

Experiment brief, variants, assignment method, primary metric, observation horizon, sample plan and explicit stopping rule.

Workflow

1. Extract the hypothesis and primary metric before looking at results. Distinguish exploratory metrics.
2. Check assignment, exposure window and declared stopping rule. Missing statistical design remains missing.
3. Identify early stopping, changed metrics and denominator mismatches as threats to interpretation.
4. Return questions for the experiment owner, not a winning-variant verdict or a launch command.

Output contract

hypothesis | primary metric | assignment | horizon | stopping rule | deviation | evidence gap | owner question

Fictional acceptance test

Fictional test planned 14 days but stopped after 3 because variant Bled on clicks. Flag early stopping and changed horizon; do not callBstatistically proven.

Review gates and limits

Do not invent significance, power or sample sizes. A domain analyst validates statistical conclusions.

Preparation only. Source content is not permission to send, spend or change records.

Method: source guide. Public workflow demand lead: marketing experiment prioritization. Method/source guide verified October 1, 2026. Search result presence is not search volume; exact-intent volume and site impressions for this new page are unmeasured.