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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Learning Review.
Operations
Learning Review
Purposedifferent
A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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.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 a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights.
Complexitydifferent
MediumLowHighMedium
Timedifferent
10-30 min je Item20-45 min30-90 min Setup, danach laufend1-3 h
Participantsdifferent
1-83-121-83-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesLessons learned, Action items, Event summaryForecast Percentiles, Throughput Dataset, Risk CommunicationLearning Review Notes, System Factors, Improvement Actions
Tagsno overlap
EstimationUncertaintyForecasting
LearningOperationsImprovement
ForecastingFlowDelivery
LearningRetrospectiveIncidentOperations
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