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| Criterion |  Operations Fault Tree Analysis |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|
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 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. | 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. |
Complexitydifferent | High | Low | High |
Timedifferent | 2-6 h | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskRoot causeSafety | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
