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| Criterion | ![]() Operations PDCA Cycle | ![]() Product Discovery Concierge MVP | ![]() 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 an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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 | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-8 | 3-10 Kunden | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Concierge Learnings, Service Blueprint, MVP Risks | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Continuous improvementLeanExperiments | MVPValidationServiceDiscovery | ValidationExperimentsDemandDiscovery |
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