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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Purposedifferent
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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.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.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.
Complexitydifferent
HighLowLowMedium
Timedifferent
30-90 min Setup, danach laufend30-120 min20-45 min45-90 min
Participantsdifferent
1-82-63-122-5
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationObservation Notes, Improvement IdeasLessons learned, Action items, Event summaryA3 Report, Action Plan, Root Cause Analysis
Tagsno overlap
ForecastingFlowDelivery
LeanObservationProcessOperations
LearningOperationsImprovement
LeanProblem solvingCoachingOperations
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