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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Domain Context Map
Domain Modeling
Domain Context Map
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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.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
MediumMediumHigh
Timedifferent
10-30 min je Item1-3 h30-90 min Setup, danach laufend
Participantsdifferent
1-83-101-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesDomain Context Map, Boundary Notes, Ownership MapForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationUncertaintyForecasting
Domain-Driven DesignContextBoundaries
ForecastingFlowDelivery
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A paper-based illustration representing Bounded Context Canvas with its core stages and visible working result.
Domain Modeling
Bounded Context Canvas
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map