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Selected:System Dynamics SimulationA/B TestingARID (Active Reviews for Intermediate Designs)Causal Loop Diagram
| Criterion |  Systems Thinking System Dynamics Simulation |  Growth A/B Testing |  Architecture ARID (Active Reviews for Intermediate Designs) |  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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | 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 | High | Medium | Medium |
Timedifferent | Mehrere Tage bis Wochen | 1-4 Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 1-3 h |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 1-6 | Designers, developers as users, and facilitation | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Experiment results, Decision log, Learning summary | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Causal Loop Diagram, Feedback Notes, Leverage Points |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | ExperimentsGrowthAnalyticsValidation | ArchitectureEngineeringFeedbackValidationTasks | FeedbackSystems thinkingCausalityDynamics |