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| Criterion |  Domain Modeling Context Map |  Decision Making Delphi Method |  Delivery Monte Carlo Forecasting |  Product Strategy DIBB |
|---|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Medium | High | High | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 30-90 min Setup, danach laufend | 1-2 h |
Participantsdifferent | 2-8 | 6-30 Experten | 1-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Expert Forecast, Consensus Range, Assumption Notes | Forecast Percentiles, Throughput Dataset, Risk Communication | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | ForecastingExpertsDecisionStrategy | ForecastingFlowDelivery | StrategyDecisionAssumptionsHypothesis |