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| Criterion |  Knowledge Modeling Concept Mapping |  Innovation Design Sprint |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | 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 | Medium | High | High | High |
Timedifferent | 1-2 h | 4-5 Tage | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 1-8 | 5-8 | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Prototype, Test Findings, Decision Rationale | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | Design sprintPrototypeValidationInnovation | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |