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| Criterion |  Operations Fault Tree Analysis |  Growth A/B Testing |  Growth Funnel Analysis |
|---|---|---|---|
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 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. | 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. |
Complexitydifferent | High | High | Medium |
Timedifferent | 2-6 h | 1-4 Wochen | 1-3 h |
Participantsdifferent | 3-8 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
