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| Criterion |  UX Research Affinity Diagramming |  Innovation Design Sprint |  UX Research Personas |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 45–90 min | 4-5 Tage | 1-3 Tage | Mehrere Wochen |
Participantsdifferent | 3-10 | 5-8 | Internes Team | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Prototype, Test Findings, Decision Rationale | Persona Profiles, Needs Summary, Scenario Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | SynthesisQualitativeRoot cause | Design sprintPrototypeValidationInnovation | ResearchCustomerSynthesis | OutcomesInnovationResearchQuantitative |