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| Criterion |  Decision Making Option Framing |  Delivery Monte Carlo Forecasting |  Decision Making Constraint Analysis |
|---|---|---|---|
Purposedifferent | In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question. | 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 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. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 45-120 min | 30-90 min Setup, danach laufend | 30-90 min |
Participantsdifferent | 3-8 | 1-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Option Frames, Assumption Notes, Comparable Shortlist, Decision Inputs | Forecast Percentiles, Throughput Dataset, Risk Communication | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | OptionsDecision framingStrategyComparison | ForecastingFlowDelivery | ConstraintsDecisionPlanningOptions |
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