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| Criterion |  Growth A/B Testing |  Operations 5 Whys |  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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | 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 | Low | High |
Timedifferent | 1-4 Wochen | 15-30 min | Mehrere Tage bis Wochen |
Participantsdifferent | 1-6 | 2-6 | 2-6 |
Formatdifferent | Async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Root cause notes, Countermeasures | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeIncidentLeanProblem solving | Root causeSafetySystemicIncident |
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