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| Criterion |  Operations Fault Tree Analysis |  Growth Funnel Analysis |  Operations Failure Mode and Effects Analysis |  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 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 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 2-6 h | 1-3 h | 2-6 h | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-5 | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Funnel report, Drop-off analysis, Optimization hypotheses | FMEA Table, Risk Priority, Mitigation Actions | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskRoot causeSafety | AnalyticsConversionGrowth | RiskQualityOperationsRoot cause | ExperimentsGrowthAnalyticsValidation |