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| Criterion |  Product Discovery Opportunity Scoring |  Product Discovery Problem Interview |  Product Discovery Opportunity Interview |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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 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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 60-120 min | 30-60 min je Interview | 30-60 min je Interview | 1-2 h Setup, laufend |
Participantsdifferent | 3-6 | 5-12 Interviews | 5-12 Interviews | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Score Table, Top Outcomes | Problem Evidence, Risk Notes, Customer Segments | Interview Notes, Opportunity Themes, Customer Quotes | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tags1 shared | PrioritizationDiscoveryOutcomesNeeds | DiscoveryInterviewsValidation | DiscoveryInterviewsOpportunityCustomer | DiscoveryOutcomesExperimentsOpportunity |