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Selected:Polarity Mapping Causal Loop Diagram A/B Testing ARID (Active Reviews for Intermediate Designs)

Criterion	Systems Thinking Polarity Mapping	Systems Thinking Causal Loop Diagram	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)
Purposedifferent	Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.	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.
Complexitydifferent	Medium	Medium	High	Medium
Timedifferent	1-2 h	1-3 h	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional
Participantsdifferent	3-12	2-8	1-6	Designers, developers as users, and facilitation
Formatdifferent	Workshop	Workshop	Async	Workshop + async
Outputdifferent	Polarity Map, Warning Signs, Balance Actions	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
Tagsno overlap	Systems thinkingTradeoffsLeadership	FeedbackSystems thinkingCausalityDynamics	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks

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