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| Criterion |  Growth Funnel Analysis |  Systems Thinking Evaporating Cloud |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. | 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 | Medium | Medium | Low | High |
Timedifferent | 1-3 h | 60-120 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | Theory of ConstraintsAssumptionsSystems thinking | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |