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| Criterion |  Product Discovery Kano Model |  Product Discovery Jobs to Be Done |  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. | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | 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 | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 1-3 Wochen | 30–60 min per interview | 60-90 min |
Participantsdifferent | 10-50 | 5-12 Interviews | 1 participant per interview | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Job Stories, Outcome Statements, Opportunity List | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | SatisfactionPrioritizationCustomer | CustomerOutcomesNeeds | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |