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| Criterion |  Product Discovery Concierge MVP |  Facilitation Dot Voting |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 5-15 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-10 Kunden | 3-20 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Ranked list, Consensus signal, Shortlist | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | MVPValidationServiceDiscovery | FacilitationVotingConsensusPrioritization | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |