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| Criterion |  Systems Thinking System Dynamics Simulation |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Causal Loop Diagram |  Systems Thinking Current Reality Tree |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. | A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Mehrere Tage bis Wochen | Mehrere Wochen | 1-3 h | 2-6 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 2-6 researchers plus sample | 2-8 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Causal Loop Diagram, Feedback Notes, Leverage Points | Current Reality Tree, Core Problems, Intervention Ideas |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | OutcomesInnovationResearchQuantitative | FeedbackSystems thinkingCausalityDynamics | Systems thinkingRoot causeConstraintsCausality |