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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
A paper-based illustration representing arc42 with its core stages and visible working result.
Architecture
arc42
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
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.The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes.arc42 structures architecture knowledge so teams can document system, decisions, and risks consistently. The template builds a living understanding of the architecture instead of scattered notes.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.
Complexitydifferent
HighLowLowMedium
Timedifferent
30-90 min Setup, danach laufend1-4 h1-2 TageOngoing
Participantsdifferent
1-81-51-42-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationContext Diagram, Container Diagram, Component DiagramArchitecture Document, Context View, Runtime View, Deployment ViewKanban board, WIP policies, Flow metrics
Tagsno overlap
ForecastingFlowDelivery
ArchitectureCommunicationVisualization
ArchitectureDocumentationCommunication
FlowVisual managementDelivery
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