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Criterion
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Domain Context Map
Domain Modeling
Domain Context Map
Purposedifferent
When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.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.
Complexitydifferent
MediumHighMedium
Timedifferent
Ongoing30-90 min Setup, danach laufend1-3 h
Participantsdifferent
2-121-83-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Kanban board, WIP policies, Flow metricsForecast Percentiles, Throughput Dataset, Risk CommunicationDomain Context Map, Boundary Notes, Ownership Map
Tagsno overlap
FlowVisual managementDelivery
ForecastingFlowDelivery
Domain-Driven DesignContextBoundaries
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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
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping