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| Criterion |  Delivery Monte Carlo Forecasting |  Knowledge Modeling IBIS |  Engineering Kanban |  Decision Making Argument Mapping |
|---|---|---|---|---|
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. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | Ongoing | 1-3 h |
Participantsdifferent | 1-8 | 2-8 | 2-12 | 1-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Issue Map, Positions, Argument Notes | Kanban board, WIP policies, Flow metrics | Argument Map, Evidence Gaps, Decision Rationale |
Tagsno overlap | ForecastingFlowDelivery | RationaleKnowledgeDecision | FlowVisual managementDelivery | SensemakingDecisionRationale |