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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
A paper-based illustration representing Bounded Context Canvas with its core stages and visible working result.
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
HighMediumLowMedium
Timedifferent
30-90 min Setup, danach laufend1-3 h1-2 h1-3 h
Participantsdifferent
1-82-82-83-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationContext Map, Integration Patterns, Boundary NotesDIBB document, Belief list, Bet list, Learning reportContext Canvas, Glossary, Integration Notes
Tagsno overlap
ForecastingFlowDelivery
Domain-Driven DesignBoundariesStrategy
StrategyDecisionAssumptionsHypothesis
Domain-Driven DesignBoundariesModeling
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