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| Criterion |  Product Discovery Opportunity Scoring |  UX Research User Interviews |  UX Research Affinity Diagramming |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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. | 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 | 60-120 min | 30–60 min per interview | 45–90 min | 60-90 min |
Participantsdifferent | 3-6 | 1 participant per interview | 3-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Opportunity Score Table, Top Outcomes | Interview Notes, Themes, Insight Summary | Theme clusters, Insight statements, Opportunity areas | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | QualitativeResearchCustomerDiscovery | SynthesisQualitativeRoot cause | ExperimentsPrioritizationDiscoveryHypothesis |