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| Criterion |  Operations Fault Tree Analysis |  Growth A/B Testing |  Product Strategy ICE Scoring |
|---|---|---|---|
Purposedifferent | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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. |
Complexitydifferent | High | High | Low |
Timedifferent | 2-6 h | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List |
Tagsno overlap | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision |
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