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| Criterion |  Growth Funnel Analysis |  Engineering Kanban |  Delivery Value Stream Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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 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 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 1-3 h | Ongoing | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-12 | 4-10 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Kanban board, WIP policies, Flow metrics | Current-state map, Future-state map, Bottleneck list | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | FlowVisual managementDelivery | LeanFlowWasteDelivery | ExperimentsGrowthAnalyticsValidation |