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| Criterion |  Product Discovery Kano Model |  UX Research Surveys |  Product Discovery Outcome-Driven Innovation |  Product Discovery Opportunity Scoring |
|---|---|---|---|---|
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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-2 Tage | 3-14 Tage | Mehrere Wochen | 60-120 min |
Participantsdifferent | 10-50 | 50+ | 2-6 researchers plus sample | 3-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Survey Results, Charts, Segment Insights | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Opportunity Score Table, Top Outcomes |
Tagsno overlap | SatisfactionPrioritizationCustomer | QuantitativeResearchValidation | OutcomesInnovationResearchQuantitative | PrioritizationDiscoveryOutcomesNeeds |