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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Domain Context Map
Domain Modeling
Domain Context Map
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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 a domain model and its associated contexts need to be thought through together, it creates a shared overview. It connects the business view and organizational boundary into a readable whole.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
HighMediumLow
Timedifferent
30-90 min Setup, danach laufend1-3 h1-2 h
Participantsdifferent
1-83-102-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationDomain Context Map, Boundary Notes, Ownership MapDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingFlowDelivery
Domain-Driven DesignContextBoundaries
StrategyDecisionAssumptionsHypothesis
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
A paper-based illustration representing Bounded Context Canvas with its core stages and visible working result.
Domain Modeling
Bounded Context Canvas