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| Criterion |  Growth A/B Testing |  Operations Root Cause Tree Analysis |  Operations Family 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 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 series of incidents with a similar pattern, the method arranges individual events as branches of a common origin. It makes visible which conditions keep recurring. | 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 | 1-3 h | 2-4 h | Mehrere Tage bis Wochen |
Participantsdifferent | 1-6 | 2-8 | 2-6 | 2-6 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Cause Tree, Evidence Notes, Countermeasures | Family Tree Diagram, Pattern Notes, Systemic Measures | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeTreeIncidentQuality | Root causePatternsIncidentSystemic | Root causeSafetySystemicIncident |