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| Criterion |  Product Discovery Solution Interview |  Decision Making Decision Tree |  Product Discovery Problem Interview |  Product Discovery Concierge MVP |
|---|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-60 min je Interview | 30-90 min | 30-60 min je Interview | 1-4 Wochen |
Participantsdifferent | 5-10 Interviews | 1-6 | 5-12 Interviews | 3-10 Kunden |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Decision Tree, Option Map, Assumption List | Problem Evidence, Risk Notes, Customer Segments | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | ValidationInterviewsPrototype | DecisionTreeOptions | DiscoveryInterviewsValidation | MVPValidationServiceDiscovery |