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| Criterion |  Systems Thinking System Dynamics Simulation |  Decision Making Pre-Mortem |  Systems Thinking Causal Loop Diagram |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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. | 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. | 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 | High | Low | Medium | Low |
Timedifferent | Mehrere Tage bis Wochen | 20–45 min | 1-3 h | 30-90 min |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | Small cross-functional group | 2-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Simulation Model, Scenario Reports | Risk list, Mitigation plan, Assumption log | Causal Loop Diagram, Feedback Notes, Leverage Points | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | RiskDecisionFailurePlanning | FeedbackSystems thinkingCausalityDynamics | ConstraintsDecisionPlanningOptions |