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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
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.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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.
Complexitydifferent
HighMediumLow
Timedifferent
30-90 min Setup, danach laufend0.5-5 Tage30-120 min
Participantsdifferent
1-84-102-6
Formatdifferent
Workshop + asyncWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateObservation Notes, Improvement Ideas
Tagsno overlap
ForecastingFlowDelivery
LeanContinuous improvementOperations
LeanObservationProcessOperations
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving