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| Criterion |  UX Research User Interviews |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Kano Model |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | 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. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30–60 min per interview | 60-90 min | 1-2 Tage | 1-5 Tage |
Participantsdifferent | 1 participant per interview | 3-8 | 10-50 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog | Kano Matrix, Feature Classes, Priority Themes | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | SatisfactionPrioritizationCustomer | ValidationExperimentsDemandDiscovery |