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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Software Architecture Canvas method illustration showing its working structure
Architecture
Software Architecture Canvas
Paper illustration for NoEstimates.
Agile
NoEstimates
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 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.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.
Complexitydifferent
HighLowMedium
Timedifferent
30-90 min Setup, danach laufend1-2 hlaufend
Participantsdifferent
1-83-102-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationArchitecture Canvas, Goals, Constraints, Quality AttributesThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
ForecastingFlowDelivery
CanvasArchitectureAlignmentWorkshop
EstimationForecastingFlow
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Architecture Inception Canvas method illustration showing its working structure
Architecture
Architecture Inception Canvas
Architecture Communication Canvas method illustration showing its working structure
Architecture
Architecture Communication Canvas
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop