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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.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.
Complexitydifferent
LowMediumMediumHigh
Timedifferent
45-120 min30-90 min1-3 h30-90 min Setup, danach laufend
Participantsdifferent
2-83-124-101-8
Formatdifferent
WorkshopWorkshopWorkshopWorkshop + async
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogAffinity Size Map, Grouped Estimates, Unclear ItemsCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
WasteLeanProcess improvement
EstimationBacklogRelative sizing
LeanFlowWasteDelivery
ForecastingFlowDelivery
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