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| Criterion |  Domain Modeling Domain Context Map |  Operations PDCA Cycle |  Domain Modeling Bounded Context Canvas |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a domain model and its associated contexts need to be thought through together, it creates a shared overview. It connects the business view and organizational boundary into a readable whole. | 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 a business context is still loosely outlined, it shapes language, responsibility, and integration space. It clarifies what belongs together and where a boundary needs to hold. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 1-3 h | 1 h bis mehrere Wochen | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-10 | 1-8 | 3-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Domain Context Map, Boundary Notes, Ownership Map | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Context Canvas, Glossary, Integration Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | Domain-Driven DesignContextBoundaries | Continuous improvementLeanExperiments | Domain-Driven DesignBoundariesModeling | ExperimentsGrowthAnalyticsValidation |