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| Criterion |  Operations Failure Mode and Effects Analysis |  Growth Funnel Analysis |  Operations Fault Tree Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 2-6 h | 1-3 h | 2-6 h | 1-4 Wochen |
Participantsdifferent | 3-10 | 1-5 | 3-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | FMEA Table, Risk Priority, Mitigation Actions | Funnel report, Drop-off analysis, Optimization hypotheses | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskQualityOperationsRoot cause | AnalyticsConversionGrowth | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation |