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| Criterion |  Knowledge Modeling Knowledge Mapping |  Product Discovery Outcome-Driven Innovation |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | 1-3 h | Mehrere Wochen | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-12 | 2-6 researchers plus sample | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | KnowledgeMappingRisk | OutcomesInnovationResearchQuantitative | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |