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| Criterion |  Product Discovery Kano Model |  Innovation Design Thinking |  UX Research User Interviews |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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. | 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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 1-2 Tage | 1 Tag bis mehrere Wochen | 30–60 min per interview | 60-90 min |
Participantsdifferent | 10-50 | 4-10 | 1 participant per interview | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Problem Statement, Prototype, Test Learnings | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | SatisfactionPrioritizationCustomer | InnovationPrototypeResearch | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |