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| Criterion | ![]() Business Strategy Value Chain Analysis | ![]() Domain Modeling Context Map | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | Half day | 1-3 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-8 | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Value Chain Map, Lever List | Context Map, Integration Patterns, Boundary Notes | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | StrategyBusiness modelDiagnosisAnalysis | Domain-Driven DesignBoundariesStrategy | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



