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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Process Mapping method illustration showing its working structure
Operations
Process Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
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.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.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.After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.
Complexitydifferent
MediumMediumHighLow
Timedifferent
laufend1-3 h30-90 min Setup, danach laufend20-45 min
Participantsdifferent
2-123-101-83-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesProcess Map, Handoff List, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk CommunicationLessons learned, Action items, Event summary
Tagsno overlap
EstimationForecastingFlow
ProcessOperationsImprovement
ForecastingFlowDelivery
LearningOperationsImprovement
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