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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Leverage Points |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | High | High | Low | High |
Timedifferent | 30-90 min Setup, danach laufend | Half day | 1-2 h | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-12 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Leverage Map, Action Strategy | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | ForecastingFlowDelivery | Systems thinkingChangeStrategy | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |