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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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 an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.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
MediumHighHigh
Timedifferent
laufend1-6 Wochen30-90 min Setup, danach laufend
Participantsdifferent
2-124-101-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing Rules8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
QualityProblem solvingRoot cause
ForecastingFlowDelivery
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Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Paper fishbone diagram with a measurable effect at the head and six labeled cause branches.
Operations
Fishbone Diagram