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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Purposedifferent
When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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 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
MediumMediumHighMedium
Timedifferent
30-90 min60-120 min30-90 min Setup, danach laufendOngoing
Participantsdifferent
3-122-81-82-12
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsForecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metrics
Tagsno overlap
EstimationBacklogRelative sizing
Theory of ConstraintsAssumptionsSystems thinking
ForecastingFlowDelivery
FlowVisual managementDelivery
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