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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  UX Research Personas |  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 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 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 | Medium | Low |
Timedifferent | 60-90 min | 1-3 Tage | 45–90 min |
Participantsdifferent | 3-8 | Internes Team | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Persona Profiles, Needs Summary, Scenario Notes | Theme clusters, Insight statements, Opportunity areas |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ResearchCustomerSynthesis | SynthesisQualitativeRoot cause |
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