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| Criterion |  Knowledge Modeling Knowledge Mapping |  Delivery Value Stream Mapping |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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 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 | 1-3 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-12 | 4-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Current-state map, Future-state map, Bottleneck list | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | KnowledgeMappingRisk | LeanFlowWasteDelivery | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |