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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Outcome-Driven Innovation |  Product Discovery Jobs to Be Done |  UX Research Personas |
|---|---|---|---|---|
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 switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | 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. |
Complexitydifferent | Low | High | Medium | Medium |
Timedifferent | 45–90 min | Mehrere Wochen | 1-3 Wochen | 1-3 Tage |
Participantsdifferent | 3-10 | 2-6 researchers plus sample | 5-12 Interviews | Internes Team |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Job Stories, Outcome Statements, Opportunity List | Persona Profiles, Needs Summary, Scenario Notes |
Tagsno overlap | SynthesisQualitativeRoot cause | OutcomesInnovationResearchQuantitative | CustomerOutcomesNeeds | ResearchCustomerSynthesis |