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| Criterion |  Domain Modeling Context Map |  Decision Making Delphi Method |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | Medium | High | High | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | 6-30 Experten | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |