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| Criterion |  Growth A/B Testing |  Operations Fault Tree Analysis |  Operations Root Cause Analysis |  Operations Barrier 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 2-6 h | 1-4 h | 2-4 h |
Participantsdifferent | 1-6 | 3-8 | 3-8 | 2-6 |
Formatdifferent | Async | Workshop + 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 | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskRoot causeSafety | Root causeProblem solvingQualityIncident | Root causeSafetyIncident |