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| Criterion |  Growth A/B Testing |  Operations MORT 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 safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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 | Mehrere Tage bis Wochen | 1-4 h | 2-4 h |
Participantsdifferent | 1-6 | 2-6 | 3-8 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeSafetySystemicIncident | Root causeProblem solvingQualityIncident | Root causeSafetyIncident |