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| Criterion |  UX Research User Interviews |  Product Discovery Outcome-Driven Innovation |  Product Discovery Opportunity Interview |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 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. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 30–60 min per interview | Mehrere Wochen | 30-60 min je Interview | 1-2 h Setup, laufend |
Participantsdifferent | 1 participant per interview | 2-6 researchers plus sample | 5-12 Interviews | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interview Notes, Opportunity Themes, Customer Quotes | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | QualitativeResearchCustomerDiscovery | OutcomesInnovationResearchQuantitative | DiscoveryInterviewsOpportunityCustomer | DiscoveryOutcomesExperimentsOpportunity |