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| Criterion |  Product Discovery Concierge MVP |  Product Discovery Problem Interview |  Systems Thinking Future Reality Tree |  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 the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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 | Medium | High | Medium |
Timedifferent | 1-4 Wochen | 30-60 min je Interview | 2-4 h | 1-5 Tage |
Participantsdifferent | 3-10 Kunden | 5-12 Interviews | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Problem Evidence, Risk Notes, Customer Segments | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | MVPValidationServiceDiscovery | DiscoveryInterviewsValidation | Theory of ConstraintsSystems thinkingChange | ValidationExperimentsDemandDiscovery |