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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Process Mapping method illustration showing its working structure
Operations
Process Mapping
Purposedifferent
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.For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput.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.With a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots.
Complexitydifferent
MediumHighHighMedium
Timedifferent
laufend2-4 h Analyse, laufend30-90 min Setup, danach laufend1-3 h
Participantsdifferent
2-123-121-83-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesConstraint Map, Improvement Plan, Flow MetricsForecast Percentiles, Throughput Dataset, Risk CommunicationProcess Map, Handoff List, Improvement Backlog
Tagsno overlap
EstimationForecastingFlow
OperationsConstraintsFlowImprovement
ForecastingFlowDelivery
ProcessOperationsImprovement
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