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Criterion
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.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.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.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
LowMediumMediumHigh
Timedifferent
30-120 min1-3 h0.5-5 Tage30-90 min Setup, danach laufend
Participantsdifferent
2-64-104-101-8
Formatdifferent
WorkshopWorkshopWorkshopWorkshop + async
Outputdifferent
Observation Notes, Improvement IdeasCurrent-state map, Future-state map, Bottleneck listKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
LeanObservationProcessOperations
LeanFlowWasteDelivery
LeanContinuous improvementOperations
ForecastingFlowDelivery
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