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| Criterion |  Systems Thinking System Dynamics Simulation |  Decision Making Constraint Analysis |  Decision Making Pre-Mortem |  Systems Thinking Causal Loop Diagram |
|---|---|---|---|---|
Purposedifferent | System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports. | 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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | Mehrere Tage bis Wochen | 30-90 min | 20–45 min | 1-3 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 2-8 | Small cross-functional group | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Risk list, Mitigation plan, Assumption log | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | ConstraintsDecisionPlanningOptions | RiskDecisionFailurePlanning | FeedbackSystems thinkingCausalityDynamics |