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| Criterion |  Operations Fishbone Diagram |  Growth Funnel Analysis |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Low | Medium | Medium | High |
Timedifferent | 30-60 min | 1-3 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Fishbone Diagram, Cause Categories, Investigation Backlog | Funnel report, Drop-off analysis, Optimization hypotheses | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | Root causeQualityOperations | AnalyticsConversionGrowth | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |