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| Criterion |  Product Strategy ICE Scoring |  Operations Failure Mode and Effects Analysis |  Growth A/B Testing |  Decision Making Pareto Analysis |
|---|---|---|---|---|
Purposedifferent | 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 process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 30-60 min | 2-6 h | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-8 | 3-10 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | FMEA Table, Risk Priority, Mitigation Actions | Experiment results, Decision log, Learning summary | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | PrioritizationScoringGrowthDecision | RiskQualityOperationsRoot cause | ExperimentsGrowthAnalyticsValidation | PrioritizationQualityFocusRoot cause |