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| Criterion |  Operations Fault Tree Analysis |  Engineering Kanban |  Facilitation Dot Estimation |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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. | 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 | High | Medium | Low | High |
Timedifferent | 2-6 h | Ongoing | 5-20 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-8 | 2-12 | 3-20 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Kanban board, WIP policies, Flow metrics | Effort Heatmap, Risk Signals, Discussion Targets | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | RiskRoot causeSafety | FlowVisual managementDelivery | EstimationEffortRisk | ForecastingFlowDelivery |