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| Criterion |  UX Research User Interviews |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Kano Model |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 30–60 min per interview | 60-90 min | 1-2 Tage | 30-60 min |
Participantsdifferent | 1 participant per interview | 3-8 | 10-50 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog | Kano Matrix, Feature Classes, Priority Themes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | SatisfactionPrioritizationCustomer | ExperimentsValidationDiscoveryHypothesis |