View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Knowledge Modeling Concept Mapping |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|---|
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. | 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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 1-2 h | 1 Tag bis mehrere Wochen | Mehrere Wochen | 1-3 h |
Participantsdifferent | 1-8 | 4-10 | 2-6 researchers plus sample | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | KnowledgeMappingRisk |