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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot 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
When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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
LowMediumHigh
Timedifferent
5-20 min1-3 h30-90 min Setup, danach laufend
Participantsdifferent
3-204-101-8
Formatdifferent
WorkshopWorkshopWorkshop + async
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationEffortRisk
LeanFlowWasteDelivery
ForecastingFlowDelivery
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