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| Criterion |  Growth A/B Testing |  Delivery Value Stream Mapping |  Growth Funnel Analysis |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 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 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 1-3 h | 30-60 min |
Participantsdifferent | 1-6 | 4-10 | 1-5 | 1-5 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Current-state map, Future-state map, Bottleneck list | Funnel report, Drop-off analysis, Optimization hypotheses | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | LeanFlowWasteDelivery | AnalyticsConversionGrowth | ExperimentsValidationDiscoveryHypothesis |