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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Kano Model |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | 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 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 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 | Low | Medium | Medium |
Timedifferent | 45–90 min | 1-2 Tage | 60-90 min |
Participantsdifferent | 3-10 | 10-50 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Kano Matrix, Feature Classes, Priority Themes | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | SynthesisQualitativeRoot cause | SatisfactionPrioritizationCustomer | ExperimentsPrioritizationDiscoveryHypothesis |
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