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| Criterion |  Knowledge Modeling IBIS |  Delivery Monte Carlo Forecasting |
|---|---|---|
Purposedifferent | 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. | 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 | Medium | High |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-8 | 1-8 |
Formatsame | Workshop + async | Workshop + async |
Outputdifferent | Issue Map, Positions, Argument Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | RationaleKnowledgeDecision | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
