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| Criterion |  Operations PDCA Cycle |  Decision Making Risk Matrix |  Product Discovery Fake Door Test |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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 a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | 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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 1 h bis mehrere Wochen | 30-60 min | 1-5 Tage | 60-90 min |
Participantsdifferent | 1-8 | 3-10 | Nutzertraffic | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Risk Matrix, Top Risk List | Click Data, Interest Signal, Learning Decision | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | Continuous improvementLeanExperiments | RiskDecisionPrioritizationAssessment | ValidationExperimentsDemandDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |