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| Criterion |  Growth A/B Testing |  Operations Fault Tree Analysis |  Operations Root Cause Analysis |
|---|---|---|---|
Purposedifferent | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | High | High | Medium |
Timedifferent | 1-4 Wochen | 2-6 h | 1-4 h |
Participantsdifferent | 1-6 | 3-8 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskRoot causeSafety | Root causeProblem solvingQualityIncident |
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