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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Leverage Points |  Systems Thinking Evaporating Cloud |  Product Strategy DIBB |
|---|---|---|---|---|
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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. |
Complexitydifferent | High | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | Half day | 60-120 min | 1-2 h |
Participantsdifferent | 1-8 | 3-12 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Leverage Map, Action Strategy | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingFlowDelivery | Systems thinkingChangeStrategy | Theory of ConstraintsAssumptionsSystems thinking | StrategyDecisionAssumptionsHypothesis |