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| Criterion |  Growth Funnel Analysis |  Operations ABC Analysis |  Product Discovery Assumption Mapping |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 1-3 h | 30-60 min | 45-60 min | 1-5 Tage |
Participantsdifferent | 1-5 | 1-5 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | ABC Classification, Focus Rules, Control List | Assumption map, Test backlog, Risk ranking | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | PrioritizationOperationsPortfolio | AssumptionsRiskExperimentsValidation | ValidationExperimentsDemandGrowth |