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Selected:ARID (Active Reviews for Intermediate Designs)System Dynamics SimulationA/B TestingSmoke Test
| Criterion | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Systems Thinking System Dynamics Simulation | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Medium | High | High | Low |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | Mehrere Tage bis Wochen | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | Designers, developers as users, and facilitation | 1-5 Modellierende, Stakeholder asynchron | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Simulation Model, Scenario Reports | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | Systems thinkingDynamicsSimulationAnalysis | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



