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| Criterion |  Domain Modeling EventStorming |  UX Research Empathy Mapping |  Product Discovery Experiment Canvas |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | When a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 2-8 h | 30–60 min | 30-60 min | 60-90 min |
Participantsdifferent | 5-12 | 4-8 | 1-5 | 3-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Empathy Map, Assumptions List, Research Gaps | Completed Experiment Canvas, Success Metric | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | SynthesisQualitativeWorkshop | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis |