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| Criterion |  Product Discovery User Story Mapping |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |  Product Discovery Concierge MVP |
|---|---|---|---|---|
Purposedifferent | When user goals and delivery scope could drift apart, it orders the journey from goal to slice. It makes visible where an MVP can genuinely be cut. | 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 2-4 h | 30-60 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 4-10 | 1-5 | Nutzertraffic | 3-10 Kunden |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | BacklogJourneyPlanningMVP | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery | MVPValidationServiceDiscovery |