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| Criterion |  UX Research Affinity Diagramming |  UX Research Surveys |  UX Research Empathy Mapping |  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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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 | Low | High |
Timedifferent | 45–90 min | 3-14 Tage | 30–60 min | Mehrere Wochen |
Participantsdifferent | 3-10 | 50+ | 4-8 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Survey Results, Charts, Segment Insights | Empathy Map, Assumptions List, Research Gaps | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | SynthesisQualitativeRoot cause | QuantitativeResearchValidation | SynthesisQualitativeWorkshop | OutcomesInnovationResearchQuantitative |