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| Criterion |  Innovation Design Thinking |  UX Research Affinity Diagramming |  Product Discovery Solution Interview |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | 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 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 solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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 | High | Low | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | 45–90 min | 30-60 min je Interview | Mehrere Wochen |
Participantsdifferent | 4-10 | 3-10 | 5-10 Interviews | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Theme clusters, Insight statements, Opportunity areas | Solution Feedback, Objection List, Validation Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | InnovationPrototypeResearch | SynthesisQualitativeRoot cause | ValidationInterviewsPrototype | OutcomesInnovationResearchQuantitative |