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| Criterion |  UX Research Affinity Diagramming |  Innovation Design Thinking |  Innovation Design Sprint |  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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. | 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 | High | High |
Timedifferent | 45–90 min | 1 Tag bis mehrere Wochen | 4-5 Tage | Mehrere Wochen |
Participantsdifferent | 3-10 | 4-10 | 5-8 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | SynthesisQualitativeRoot cause | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation | OutcomesInnovationResearchQuantitative |