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Selected:Causal Loop Diagram A/B Testing ARID (Active Reviews for Intermediate Designs)Behavior Over Time Graph

Criterion	Systems Thinking Causal Loop Diagram	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)	Systems Thinking Behavior Over Time Graph
Purposedifferent	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.	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 Behavior Over Time Graph shows how a metric or observation develops over time. The method makes trends, breaks, and recurring patterns visible that get lost in snapshots.
Complexitydifferent	Medium	High	Medium	Low
Timedifferent	1-3 h	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional	20-45 min
Participantsdifferent	2-8	1-6	Designers, developers as users, and facilitation	1-10
Formatdifferent	Workshop	Async	Workshop + async	Workshop + async
Outputdifferent	Causal Loop Diagram, Feedback Notes, Leverage Points	Experiment results, Decision log, Learning summary	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Behavior Over Time Graph, Trend Hypotheses, Key Events
Tagsno overlap	FeedbackSystems thinkingCausalityDynamics	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks	Systems thinkingPatternsDynamics

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