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Criterion
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Ideal Days.
Agile
Ideal Days
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.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.When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.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
MediumMediumLowHigh
Timedifferent
15-45 min1-3 h15-60 min30-90 min Setup, danach laufend
Participantsdifferent
1-84-102-91-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
PERT Estimate, Expected Value, Risk NotesCurrent-state map, Future-state map, Bottleneck listIdeal Day Estimates, Assumption Notes, Capacity CaveatsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationUncertaintyRisk
LeanFlowWasteDelivery
EstimationEffortAgile
ForecastingFlowDelivery
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