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Criterion
Visual Management workspace showing the question, observations, and next decision.
Operations
Visual Management
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Purposedifferent
With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work.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 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.
Complexitydifferent
LowHighMediumHigh
Timedifferent
Ongoing30-90 min Setup, danach laufendlaufend2-4 h Analyse, laufend
Participantsdifferent
1-201-82-123-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Visual Board, Status Indicators, Exception CuesForecast Percentiles, Throughput Dataset, Risk CommunicationThroughput Data, Flow Forecast, Slicing RulesConstraint Map, Improvement Plan, Flow Metrics
Tagsno overlap
SignalsOperationsVisual management
ForecastingFlowDelivery
EstimationForecastingFlow
OperationsConstraintsFlowImprovement
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