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| Criterion |  Operations PDCA Cycle |  Product Discovery Fake Door Test |  Product Discovery Pretotyping |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1-5 Tage | Stunden bis wenige Tage | 45-75 min |
Participantsdifferent | 1-8 | Nutzertraffic | 1-4 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Click Data, Interest Signal, Learning Decision | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Test Matrix, Test Plan |
Tagsno overlap | Continuous improvementLeanExperiments | ValidationExperimentsDemandDiscovery | ValidationDemandMVP | ExperimentsValidationDiscoveryOptions |