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| Criterion |  Product Discovery Kano Model |  UX Research Affinity Diagramming |  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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | Low | Low | Medium |
Timedifferent | 1-2 Tage | 45–90 min | 30–60 min per interview | 60-90 min |
Participantsdifferent | 10-50 | 3-10 | 1 participant per interview | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Theme clusters, Insight statements, Opportunity areas | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | SatisfactionPrioritizationCustomer | SynthesisQualitativeRoot cause | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |