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| Criterion |  Decision Making Constraint Analysis |  Decision Making Decision Tree |  Delivery Monte Carlo Forecasting |  Delivery Cost of Delay |
|---|---|---|---|---|
Purposedifferent | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 30-90 min | 30-90 min | 30-90 min Setup, danach laufend | 90-180 min |
Participantsdifferent | 2-8 | 1-6 | 1-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List | Forecast Percentiles, Throughput Dataset, Risk Communication | CoD Table, Prioritization Sequence |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | ForecastingFlowDelivery | PrioritizationDeliveryEconomicsDecision |