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| Criterion | ![]() Domain Modeling Context Map | ![]() Business Strategy Value Chain Analysis | ![]() Product Discovery Assumption Mapping | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | High | Medium | High |
Timedifferent | 1-3 h | Half day | 45-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Value Chain Map, Lever List | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | StrategyBusiness modelDiagnosisAnalysis | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |



