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| Criterion |  Domain Modeling EventStorming |  Product Discovery Opportunity Solution Tree |  UX Research Affinity Diagramming |  Product Discovery Experiment 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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | Medium | Medium | Low | Low |
Timedifferent | 2-8 h | 1-2 h Setup, laufend | 45–90 min | 30-60 min |
Participantsdifferent | 5-12 | 2-6 | 3-10 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Opportunity Solution Tree, Experiment Backlog, Learning Log | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | DiscoveryOutcomesExperimentsOpportunity | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis |