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| Criterion |  Growth A/B Testing |  Product Strategy ICE Scoring |  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. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | 30-60 min | Mehrere Tage bis Wochen |
Participantsdifferent | 1-6 | 2-8 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision | Root causeSafetySystemicIncident |
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