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| Criterion |  Operations PDCA Cycle |  Domain Modeling Bounded Context Canvas |  Growth A/B Testing |  Domain Modeling Context Map |
|---|---|---|---|---|
Purposedifferent | 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. | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1-3 h | 1-4 Wochen | 1-3 h |
Participantsdifferent | 1-8 | 3-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Context Canvas, Glossary, Integration Notes | Experiment results, Decision log, Learning summary | Context Map, Integration Patterns, Boundary Notes |
Tagsno overlap | Continuous improvementLeanExperiments | Domain-Driven DesignBoundariesModeling | ExperimentsGrowthAnalyticsValidation | Domain-Driven DesignBoundariesStrategy |