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| Criterion | ![]() Domain Modeling Context Map | ![]() Decision Making Delphi Method | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|---|
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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | Medium | High | High |
Timedifferent | 1-3 h | 1-4 Wochen | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-8 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Expert Forecast, Consensus Range, Assumption Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | ForecastingExpertsDecisionStrategy | ForecastingFlowDelivery |
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