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| Criterion |  Growth A/B Testing |  Operations MORT Analysis |  Product Discovery Assumption Mapping |  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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | 45-60 min | 2-4 h |
Participantsdifferent | 1-6 | 2-6 | 2-8 | 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 | Assumption map, Test backlog, Risk ranking | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeSafetySystemicIncident | AssumptionsRiskExperimentsValidation | Root causeSafetyIncident |