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| Criterion |  Systems Thinking Leverage Points |  Delivery Monte Carlo Forecasting |  Decision Making Force Field Analysis |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | Low | Low |
Timedifferent | Half day | 30-90 min Setup, danach laufend | 45-90 min | 1-2 h |
Participantsdifferent | 3-12 | 1-8 | 3-12 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Forecast Percentiles, Throughput Dataset, Risk Communication | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Systems thinkingChangeStrategy | ForecastingFlowDelivery | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis |