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| Criterion |  Growth A/B Testing |  Operations Barrier Analysis |  Operations Root Cause Tree Analysis |  Operations MORT 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 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 1-4 Wochen | 2-4 h | 1-3 h | Mehrere Tage bis Wochen |
Participantsdifferent | 1-6 | 2-6 | 2-8 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Cause Tree, Evidence Notes, Countermeasures | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident | Root causeTreeIncidentQuality | Root causeSafetySystemicIncident |