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| Criterion |  UX Research Affinity Diagramming |  UX Research Usability Testing |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |
|---|---|---|---|---|
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 a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | 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 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. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 45–90 min | 1-2 h je Session | Mehrere Wochen | 4-5 Tage |
Participantsdifferent | 3-10 | Based on research question | 2-6 researchers plus sample | 5-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Usability Issues, Severity List, Recommendations | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | SynthesisQualitativeRoot cause | ValidationUXPrototype | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation |