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| Criterion |  UX Research Affinity Diagramming |  Innovation Design Thinking |  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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | High | Low | High |
Timedifferent | 45–90 min | 1 Tag bis mehrere Wochen | 30–60 min | Mehrere Wochen |
Participantsdifferent | 3-10 | 4-10 | 4-8 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Problem Statement, Prototype, Test Learnings | Empathy Map, Assumptions List, Research Gaps | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | SynthesisQualitativeRoot cause | InnovationPrototypeResearch | SynthesisQualitativeWorkshop | OutcomesInnovationResearchQuantitative |