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| Criterion |  Product Discovery Pretotyping |  Operations MORT Analysis |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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 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. |
Complexitydifferent | Low | High | Medium | Low |
Timedifferent | Stunden bis wenige Tage | Mehrere Tage bis Wochen | 1-5 Tage | 30-60 min |
Participantsdifferent | 1-4 | 2-6 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ValidationDemandMVP | Root causeSafetySystemicIncident | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |