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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  UX Research User Interviews |  UX Research Affinity Diagramming |
|---|---|---|---|
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 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. |
Complexitydifferent | Medium | Low | Low |
Timedifferent | 60-90 min | 30–60 min per interview | 45–90 min |
Participantsdifferent | 3-8 | 1 participant per interview | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Interview Notes, Themes, Insight Summary | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | QualitativeResearchCustomerDiscovery | SynthesisQualitativeRoot cause |
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