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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  UX Research User Interviews |  Product Discovery Kano Model |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 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 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 | Medium | Low | Medium | Low |
Timedifferent | 60-90 min | 30–60 min per interview | 1-2 Tage | 30-60 min |
Participantsdifferent | 3-8 | 1 participant per interview | 10-50 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Interview Notes, Themes, Insight Summary | Kano Matrix, Feature Classes, Priority Themes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | QualitativeResearchCustomerDiscovery | SatisfactionPrioritizationCustomer | ExperimentsValidationDiscoveryHypothesis |