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| Criterion | ![]() Knowledge Modeling IBIS | ![]() Delivery Monte Carlo Forecasting | ![]() Decision Making Cynefin Workshop |
|---|---|---|---|
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. | When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 60-180 min |
Participantsdifferent | 2-8 | 1-8 | 4-20 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Issue Map, Positions, Argument Notes | Forecast Percentiles, Throughput Dataset, Risk Communication | Cynefin Map, Domain-specific Actions, Sensemaking Notes |
Tagsno overlap | RationaleKnowledgeDecision | ForecastingFlowDelivery | ComplexitySensemakingDecision |
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