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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() UX Research Affinity Diagramming | ![]() UX Research Personas | ![]() UX Research Empathy Mapping |
|---|---|---|---|---|
Purposedifferent | 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 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 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 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. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | Mehrere Wochen | 45–90 min | 1-3 Tage | 30–60 min |
Participantsdifferent | 2-6 researchers plus sample | 3-10 | Internes Team | 4-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Theme clusters, Insight statements, Opportunity areas | Persona Profiles, Needs Summary, Scenario Notes | Empathy Map, Assumptions List, Research Gaps |
Tagsno overlap | OutcomesInnovationResearchQuantitative | SynthesisQualitativeRoot cause | ResearchCustomerSynthesis | SynthesisQualitativeWorkshop |



