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| Criterion |  Growth A/B Testing |  Growth Funnel Analysis |  Facilitation Consensus Workshop |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | 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 group needs a solid decision without outvoting individual factions, a Consensus Workshop creates a negotiable common ground. It makes agreement, reservations, and open tensions discussable at the same time. | 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 | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 1-3 h | 1-5 Tage |
Participantsdifferent | 1-6 | 1-5 | 5-30 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses | Consensus Clusters, Theme Titles, Priority Areas | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth | FacilitationConsensusWorkshopAlignment | ValidationExperimentsDemandGrowth |