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| Criterion |  UX Research Affinity Diagramming |  UX Research Personas |  Product Discovery Opportunity Scoring |  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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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 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 | Medium |
Timedifferent | 45–90 min | 1-3 Tage | 60-120 min | 60-90 min |
Participantsdifferent | 3-10 | Internes Team | 3-6 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Persona Profiles, Needs Summary, Scenario Notes | Opportunity Score Table, Top Outcomes | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | SynthesisQualitativeRoot cause | ResearchCustomerSynthesis | PrioritizationDiscoveryOutcomesNeeds | ExperimentsPrioritizationDiscoveryHypothesis |