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| Criterion |  Product Discovery Kano Model |  Product Discovery Opportunity Scoring |  Product Discovery Outcome-Driven Innovation |  UX Research User Interviews |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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. | 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 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-2 Tage | 60-120 min | Mehrere Wochen | 30–60 min per interview |
Participantsdifferent | 10-50 | 3-6 | 2-6 researchers plus sample | 1 participant per interview |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Opportunity Score Table, Top Outcomes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interview Notes, Themes, Insight Summary |
Tagsno overlap | SatisfactionPrioritizationCustomer | PrioritizationDiscoveryOutcomesNeeds | OutcomesInnovationResearchQuantitative | QualitativeResearchCustomerDiscovery |