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Selected:System Dynamics SimulationARID (Active Reviews for Intermediate Designs)Smoke TestA/B Testing
| Criterion |  Systems Thinking System Dynamics Simulation |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | High | Medium | Low | High |
Timedifferent | Mehrere Tage bis Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | Designers, developers as users, and facilitation | Nutzertraffic | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Simulation Model, Scenario Reports | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |