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 Knowledge Mapping | ![]() Product Discovery Outcome-Driven Innovation | ![]() Decision Making Assumption Surfacing | ![]() Innovation Design Thinking |
|---|---|---|---|---|
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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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. |
Complexitydifferent | Medium | High | Low | High |
Timedifferent | 1-3 h | Mehrere Wochen | 45-90 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 3-12 | 2-6 researchers plus sample | 2-8 | 4-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Assumption List, Critical Assumptions, Learning Plan | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | KnowledgeMappingRisk | OutcomesInnovationResearchQuantitative | AssumptionsRiskDecisionDiscovery | InnovationPrototypeResearch |



