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| Criterion |  Engineering Kanban |  Growth A/B Testing |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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. | 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 | High | Low | Medium |
Timedifferent | Ongoing | 1-4 Wochen | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 2-12 | 1-6 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | FlowVisual managementDelivery | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |