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| Criterion | ![]() Growth Funnel Analysis | ![]() Delivery Value Stream Mapping | ![]() Growth A/B Testing | ![]() Product Discovery Fake Door 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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | 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 is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-3 h | 1-3 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-5 | 4-10 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Current-state map, Future-state map, Bottleneck list | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | AnalyticsConversionGrowth | LeanFlowWasteDelivery | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |



