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| Criterion | ![]() Knowledge Modeling Knowledge Mapping | ![]() Decision Making Constraint Analysis | ![]() 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | Low | Low | Medium |
Timedifferent | 1-3 h | 30-90 min | 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 | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Completed Experiment Canvas, Success Metric | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | KnowledgeMappingRisk | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation |



