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| Criterion |  Domain Modeling Context Map |  Decision Making Wideband Delphi |  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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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 | 1-4 h or multiple rounds | 45-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 4-12 Experten | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Estimate Range, Assumption Log, Expert Consensus Notes | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | EstimationExpertsForecasting | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |