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| Criterion |  Growth Flywheel |  Delivery Value Stream Mapping |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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 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 | Medium | Medium | High | Low |
Timedifferent | 60-120 min | 1-3 h | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-8 | 4-10 | 1-6 | 1-5 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Current-state map, Future-state map, Bottleneck list | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | GrowthRetentionConversion | LeanFlowWasteDelivery | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |