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| Criterion |  UX Research Affinity Diagramming |  UX Research Personas |  Product Discovery Outcome-Driven Innovation |  Product Discovery Jobs to Be Done |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 45–90 min | 1-3 Tage | Mehrere Wochen | 1-3 Wochen |
Participantsdifferent | 3-10 | Internes Team | 2-6 researchers plus sample | 5-12 Interviews |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Persona Profiles, Needs Summary, Scenario Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Job Stories, Outcome Statements, Opportunity List |
Tagsno overlap | SynthesisQualitativeRoot cause | ResearchCustomerSynthesis | OutcomesInnovationResearchQuantitative | CustomerOutcomesNeeds |