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Criterion
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
Paper illustration for NoEstimates.
Agile
NoEstimates
A paper-based illustration representing Bounded Context Canvas with its core stages and visible working result.
Domain Modeling
Bounded Context Canvas
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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 estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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.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
MediumMediumMediumHigh
Timedifferent
1-3 hlaufend1-3 h30-90 min Setup, danach laufend
Participantsdifferent
2-82-123-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Context Map, Integration Patterns, Boundary NotesThroughput Data, Flow Forecast, Slicing RulesContext Canvas, Glossary, Integration NotesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
Domain-Driven DesignBoundariesStrategy
EstimationForecastingFlow
Domain-Driven DesignBoundariesModeling
ForecastingFlowDelivery
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