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| Criterion |  Operations Causal Factor Analysis |  Operations MORT Analysis |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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 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. |
Complexitysame | High | High | High |
Timedifferent | 2-6 h | Mehrere Tage bis Wochen | 1-4 Wochen |
Participantsdifferent | 3-10 | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Experiment results, Decision log, Learning summary |
Tagsno overlap | CausalityIncidentRoot causeTimeline | Root causeSafetySystemicIncident | ExperimentsGrowthAnalyticsValidation |
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