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| Criterion |  Knowledge Modeling Domain Storytelling |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Assumption Mapping |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 1-2 h | 60-90 min | 45-60 min | 30-60 min |
Participantsdifferent | 2-8 | 3-8 | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Prioritization Canvas, Hypothesis Backlog | Assumption map, Test backlog, Risk ranking | Completed Experiment Canvas, Success Metric |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryHypothesis |