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| Criterion |  Product Discovery Outcome-Driven Innovation |  Product Discovery Problem Interview |  Product Discovery Fake Door Test |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 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. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | Mehrere Wochen | 30-60 min je Interview | 1-5 Tage | 1-2 h Setup, laufend |
Participantsdifferent | 2-6 researchers plus sample | 5-12 Interviews | Nutzertraffic | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Evidence, Risk Notes, Customer Segments | Click Data, Interest Signal, Learning Decision | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | OutcomesInnovationResearchQuantitative | DiscoveryInterviewsValidation | ValidationExperimentsDemandDiscovery | DiscoveryOutcomesExperimentsOpportunity |