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| Criterion | ![]() Delivery Monte Carlo Forecasting | ![]() Domain Modeling Context Map | ![]() Product Strategy DIBB | ![]() Domain Modeling Bounded Context Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | When a business context is still loosely outlined, it shapes language, responsibility, and integration space. It clarifies what belongs together and where a boundary needs to hold. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 1-2 h | 1-3 h |
Participantsdifferent | 1-8 | 2-8 | 2-8 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Context Map, Integration Patterns, Boundary Notes | DIBB document, Belief list, Bet list, Learning report | Context Canvas, Glossary, Integration Notes |
Tagsno overlap | ForecastingFlowDelivery | Domain-Driven DesignBoundariesStrategy | StrategyDecisionAssumptionsHypothesis | Domain-Driven DesignBoundariesModeling |



