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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Architecture Inception Canvas method illustration showing its working structure
Architecture
Architecture Inception Canvas
Paper illustration for NoEstimates.
Agile
NoEstimates
Software Architecture Canvas method illustration showing its working structure
Architecture
Software Architecture Canvas
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 Architecture Inception Canvas bundles the first architecture questions into a compact decision picture. It fits when an initiative is still in motion but still needs clear guardrails.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.The Software Architecture Canvas reduces a system to the most important architecture decisions, constraints, and interfaces. It is useful when teams need a resilient overall picture quickly.
Complexitydifferent
HighLowMediumLow
Timedifferent
30-90 min Setup, danach laufend1-2 hlaufend1-2 h
Participantsdifferent
1-83-82-123-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationInception Canvas, Risks, Goal List, Open QuestionsThroughput Data, Flow Forecast, Slicing RulesArchitecture Canvas, Goals, Constraints, Quality Attributes
Tagsno overlap
ForecastingFlowDelivery
AlignmentArchitectureCanvas
EstimationForecastingFlow
CanvasArchitectureAlignmentWorkshop
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