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| Criterion |  Growth A/B Testing |  Operations Barrier Analysis |  Operations Root Cause 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. | 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 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 | 1-4 h | Mehrere Tage bis Wochen |
Participantsdifferent | 1-6 | 2-6 | 3-8 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident | Root causeProblem solvingQualityIncident | Root causeSafetySystemicIncident |