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| Criterion |  UX Research Affinity Diagramming |  UX Research Surveys |  UX Research Personas |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 45–90 min | 3-14 Tage | 1-3 Tage | Mehrere Wochen |
Participantsdifferent | 3-10 | 50+ | Internes Team | 2-6 researchers plus sample |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Survey Results, Charts, Segment Insights | Persona Profiles, Needs Summary, Scenario Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | SynthesisQualitativeRoot cause | QuantitativeResearchValidation | ResearchCustomerSynthesis | OutcomesInnovationResearchQuantitative |