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| Criterion |  Domain Modeling EventStorming |  Knowledge Modeling Domain Storytelling |  Operations PDCA Cycle |  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. | 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 | Low | Low | Low |
Timedifferent | 2-8 h | 1-2 h | 1 h bis mehrere Wochen | 30-60 min |
Participantsdifferent | 5-12 | 2-8 | 1-8 | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Domain Story, Glossary Notes, Process Narrative | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | KnowledgeDomain-Driven DesignProcess | Continuous improvementLeanExperiments | ExperimentsValidationDiscoveryHypothesis |