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| Criterion |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Event Modeling |  Product Discovery Experiment Canvas |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h | 2-6 h | 30-60 min | 45-60 min |
Participantsdifferent | 3-12 | 2-8 | 1-5 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Event Model, UI Flow, Commands, Read Models | Completed Experiment Canvas, Success Metric | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | KnowledgeMappingRisk | EventsBlueprintDomain-Driven DesignBehavior | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation |