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| Criterion |  Growth A/B Testing |  Operations Failure Mode and Effects Analysis |  Product Strategy ICE Scoring |  Operations Fishbone Diagram |
|---|---|---|---|---|
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 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 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 a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. |
Complexitydifferent | High | High | Low | Low |
Timedifferent | 1-4 Wochen | 2-6 h | 30-60 min | 30-60 min |
Participantsdifferent | 1-6 | 3-10 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions | ICE Table, Top Idea List | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause | PrioritizationScoringGrowthDecision | Root causeQualityOperations |