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| Criterion |  Growth Funnel Analysis |  Product Strategy Product Vision Board |  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. | When a product needs a shared direction, it connects target audience, benefit, and business picture in a clear vision. It makes the envisioned future legible for the team. | 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 | Low | High | Low |
Timedifferent | 1-3 h | 1-2 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-5 | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Product Vision Board, Vision Statement, Assumptions and Validation Questions | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AnalyticsConversionGrowth | VisionCanvasStrategyAlignment | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |