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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
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.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.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
30-90 min Setup, danach laufend1-3 h1-3 h1-3 h
Participantsdifferent
1-83-104-102-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationDomain Context Map, Boundary Notes, Ownership MapCurrent-state map, Future-state map, Bottleneck listContext Map, Integration Patterns, Boundary Notes
Tagsno overlap
ForecastingFlowDelivery
Domain-Driven DesignContextBoundaries
LeanFlowWasteDelivery
Domain-Driven DesignBoundariesStrategy
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