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| Criterion |  Growth A/B Testing |  Growth Funnel Analysis |  Team Design Spotify Model Mapping |  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 team landscape has grown without clear grouping, it maps roles and relationships onto the Spotify model. It clarifies responsibility, interaction, and load between teams. The result is captured as a Spotify model map and action list. | 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 | 90-180 min | 1-5 Tage |
Participantsdifferent | 1-6 | 1-5 | 5-15 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses | Spotify Model Map, Action List | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth | TeamOrganizationAlignmentDiagnosis | ValidationExperimentsDemandGrowth |