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| Criterion |  Growth Funnel Analysis |  Innovation Design Charrette |  Growth A/B Testing |  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. | In a tightly timed design process with many participants, the method pools several lines of thinking in a short time. It brings parallel design energy without letting the discussion tip into endless coordination. This quickly produces solid directions for architecture or space. | 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 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 | Medium | High | Low |
Timedifferent | 1-3 h | Halber Tag bis mehrere Tage | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-5 | 10-50 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Sketches and Concepts, Consolidated Solution Sketch, Prioritized Direction | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | BrainstormingWorkshopCollaborationIdeation | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |