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| Criterion |  Knowledge Modeling Knowledge Mapping |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |  UX Research Surveys |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | 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 | Medium | High | High | Medium |
Timedifferent | 1-3 h | Mehrere Wochen | 4-5 Tage | 3-14 Tage |
Participantsdifferent | 3-12 | 2-6 researchers plus sample | 5-8 | 50+ |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Survey Results, Charts, Segment Insights |
Tagsno overlap | KnowledgeMappingRisk | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | QuantitativeResearchValidation |