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| Criterion |  Product Discovery Opportunity Interview |  Product Discovery Problem Interview |  Decision Making Decision Tree |  Product Discovery Concierge MVP |
|---|---|---|---|---|
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 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. | 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 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 | 30-60 min je Interview | 30-90 min | 1-4 Wochen |
Participantsdifferent | 5-12 Interviews | 5-12 Interviews | 1-6 | 3-10 Kunden |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Problem Evidence, Risk Notes, Customer Segments | Decision Tree, Option Map, Assumption List | Concierge Learnings, Service Blueprint, MVP Risks |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | DiscoveryInterviewsValidation | DecisionTreeOptions | MVPValidationServiceDiscovery |