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| Criterion |  Operations PDCA Cycle |  Decision Making Cynefin Workshop |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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. | 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 | Low | Medium | Low | Medium |
Timedifferent | 1 h bis mehrere Wochen | 60-180 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 1-8 | 4-20 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Continuous improvementLeanExperiments | ComplexitySensemakingDecision | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |