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| Criterion |  Domain Modeling EventStorming |  Knowledge Modeling PARA Method |  Product Discovery Assumption Mapping |  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. | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | 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 | Medium | Medium | Medium | Low |
Timedifferent | 2-8 h | 1-3 h Setup, laufend | 45-60 min | 30-60 min |
Participantsdifferent | 5-12 | 1 | 2-8 | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | PARA Structure, Project Notes, Knowledge Archive | Assumption map, Test backlog, Risk ranking | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | KnowledgeProductivityOrganization | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryHypothesis |