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| Criterion |  Growth A/B Testing |  Operations Failure Mode and Effects Analysis |  Growth Funnel Analysis |  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 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. | 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 | Medium | Low |
Timedifferent | 1-4 Wochen | 2-6 h | 1-3 h | 30-60 min |
Participantsdifferent | 1-6 | 3-10 | 1-5 | 2-8 |
Formatdifferent | Async | Workshop | Async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions | Funnel report, Drop-off analysis, Optimization hypotheses | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause | AnalyticsConversionGrowth | Root causeQualityOperations |