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| Criterion |  Decision Making Decision Matrix |  Product Discovery Problem Interview |  Product Discovery Concierge MVP |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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. | 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 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-90 min | 30-60 min je Interview | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | 5-12 Interviews | 3-10 Kunden | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Problem Evidence, Risk Notes, Customer Segments | Concierge Learnings, Service Blueprint, MVP Risks | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | DiscoveryInterviewsValidation | MVPValidationServiceDiscovery | ValidationExperimentsDemandDiscovery |