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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for 8D Problem Solving.
Operations
8D 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.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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.
Complexitydifferent
HighHighLowHigh
Timedifferent
30-90 min Setup, danach laufend2-6 h5-20 min1-6 Wochen
Participantsdifferent
1-83-103-204-10
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationFMEA Table, Risk Priority, Mitigation ActionsEffort Heatmap, Risk Signals, Discussion Targets8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan
Tagsno overlap
ForecastingFlowDelivery
RiskQualityOperationsRoot cause
EstimationEffortRisk
QualityProblem solvingRoot cause
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