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| Criterion |  Delivery Value Stream Mapping |  Growth Growth Experiment |  Operations PDCA Cycle |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 | Low | High |
Timedifferent | 1-3 h | 1-2 Wochen | 1 h bis mehrere Wochen | 1-4 Wochen |
Participantsdifferent | 4-10 | 1-6 | 1-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Experiment card, Result summary, Next bet | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary |
Tagsno overlap | LeanFlowWasteDelivery | MarketingGrowthExperimentsLearning | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation |