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Selected:System Dynamics Simulation ARID (Active Reviews for Intermediate Designs)A/B Testing Smoke Test

Criterion	Systems Thinking System Dynamics Simulation	Architecture ARID (Active Reviews for Intermediate Designs)	Growth A/B Testing	Product Discovery Smoke Test
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 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	High	Medium	High	Low
Timedifferent	Mehrere Tage bis Wochen	2–4 h review as a planning range; preparation and evaluation additional	1-4 Wochen	1-5 Tage
Participantsdifferent	1-5 Modellierende, Stakeholder asynchron	Designers, developers as users, and facilitation	1-6	Nutzertraffic
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	Experiment results, Decision log, Learning summary	Interest Metrics, Conversion Signal, Learning Note
Tagsno overlap	Systems thinkingDynamicsSimulationAnalysis	ArchitectureEngineeringFeedbackValidationTasks	ExperimentsGrowthAnalyticsValidation	ValidationExperimentsDemandGrowth

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