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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Outcome-Driven Innovation |  UX Research Personas |  Innovation Design Thinking |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 45–90 min | Mehrere Wochen | 1-3 Tage | 1 Tag bis mehrere Wochen |
Participantsdifferent | 3-10 | 2-6 researchers plus sample | Internes Team | 4-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Persona Profiles, Needs Summary, Scenario Notes | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | SynthesisQualitativeRoot cause | OutcomesInnovationResearchQuantitative | ResearchCustomerSynthesis | InnovationPrototypeResearch |