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| Criterion |  Product Discovery Opportunity Interview |  Product Discovery Fake Door Test |  Product Discovery Concierge MVP |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. | 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. | 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 | Medium | Medium | Medium | Low |
Timedifferent | 30-60 min je Interview | 1-5 Tage | 1-4 Wochen | 30-60 min |
Participantsdifferent | 5-12 Interviews | Nutzertraffic | 3-10 Kunden | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Click Data, Interest Signal, Learning Decision | Concierge Learnings, Service Blueprint, MVP Risks | Completed Experiment Canvas, Success Metric |
Tags1 shared | DiscoveryInterviewsOpportunityCustomer | ValidationExperimentsDemandDiscovery | MVPValidationServiceDiscovery | ExperimentsValidationDiscoveryHypothesis |