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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Outcome-Driven Innovation | ![]() UX Research Empathy Mapping | ![]() UX Research User Interviews |
|---|---|---|---|---|
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 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. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. |
Complexitydifferent | Low | High | Low | Low |
Timedifferent | 45–90 min | Mehrere Wochen | 30–60 min | 30–60 min per interview |
Participantsdifferent | 3-10 | 2-6 researchers plus sample | 4-8 | 1 participant per interview |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Empathy Map, Assumptions List, Research Gaps | Interview Notes, Themes, Insight Summary |
Tagsno overlap | SynthesisQualitativeRoot cause | OutcomesInnovationResearchQuantitative | SynthesisQualitativeWorkshop | QualitativeResearchCustomerDiscovery |



