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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Personas |  UX Research Affinity Diagramming |  UX Research User Interviews |
|---|---|---|---|---|
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 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 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 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 | High | Medium | Low | Low |
Timedifferent | Mehrere Wochen | 1-3 Tage | 45–90 min | 30–60 min per interview |
Participantsdifferent | 2-6 researchers plus sample | Internes Team | 3-10 | 1 participant per interview |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Persona Profiles, Needs Summary, Scenario Notes | Theme clusters, Insight statements, Opportunity areas | Interview Notes, Themes, Insight Summary |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ResearchCustomerSynthesis | SynthesisQualitativeRoot cause | QualitativeResearchCustomerDiscovery |