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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Behavior Over Time Graph |  Engineering Kanban |  Systems Thinking Causal Loop Diagram |
|---|---|---|---|---|
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. | A Behavior Over Time Graph shows how a metric or observation develops over time. The method makes trends, breaks, and recurring patterns visible that get lost in snapshots. | 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. | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 20-45 min | Ongoing | 1-3 h |
Participantsdifferent | 1-8 | 1-10 | 2-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Behavior Over Time Graph, Trend Hypotheses, Key Events | Kanban board, WIP policies, Flow metrics | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | ForecastingFlowDelivery | Systems thinkingPatternsDynamics | FlowVisual managementDelivery | FeedbackSystems thinkingCausalityDynamics |