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Criterion
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Paper illustration for NoEstimates.
Agile
NoEstimates
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
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 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.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.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 minlaufend45-90 min30-90 min Setup, danach laufend
Participantsdifferent
2-62-122-51-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Observation Notes, Improvement IdeasThroughput Data, Flow Forecast, Slicing RulesA3 Report, Action Plan, Root Cause AnalysisForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
LeanObservationProcessOperations
EstimationForecastingFlow
LeanProblem solvingCoachingOperations
ForecastingFlowDelivery
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