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| Criterion |  Innovation Design Thinking |  Knowledge Modeling Concept Mapping |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |
|---|---|---|---|---|
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. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | 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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 1-2 h | Mehrere Wochen | 3-14 Tage |
Participantsdifferent | 4-10 | 1-8 | 2-6 researchers plus sample | 50+ |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Concept Map, Relationship Labels, Knowledge Gaps | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights |
Tagsno overlap | InnovationPrototypeResearch | KnowledgeConceptsMappingSensemaking | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation |