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

Criterion	Systems Thinking Leverage Points	Architecture ARID (Active Reviews for Intermediate Designs)	Growth A/B Testing	Systems Thinking Causal Loop Diagram
Purposedifferent	Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.	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.	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.
Complexitydifferent	High	Medium	High	Medium
Timedifferent	Half day	2–4 h review as a planning range; preparation and evaluation additional	1-4 Wochen	1-3 h
Participantsdifferent	3-12	Designers, developers as users, and facilitation	1-6	2-8
Formatdifferent	Workshop	Workshop + async	Async	Workshop
Outputdifferent	Leverage Map, Action Strategy	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Experiment results, Decision log, Learning summary	Causal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap	Systems thinkingChangeStrategy	ArchitectureEngineeringFeedbackValidationTasks	ExperimentsGrowthAnalyticsValidation	FeedbackSystems thinkingCausalityDynamics

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