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| Criterion |  Product Discovery Kano Model |  Product Discovery Opportunity Scoring |  Innovation Design Thinking |  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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | 1 Tag bis mehrere Wochen | 30–60 min per interview |
Participantsdifferent | 10-50 | 3-6 | 4-10 | 1 participant per interview |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Opportunity Score Table, Top Outcomes | Problem Statement, Prototype, Test Learnings | Interview Notes, Themes, Insight Summary |
Tagsno overlap | SatisfactionPrioritizationCustomer | PrioritizationDiscoveryOutcomesNeeds | InnovationPrototypeResearch | QualitativeResearchCustomerDiscovery |