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

Criterion	Architecture ARID (Active Reviews for Intermediate Designs)	Systems Thinking Intervention Mapping	Growth A/B Testing	Systems Thinking Causal Loop Diagram
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.	Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain.	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	Medium	High	High	Medium
Timedifferent	2–4 h review as a planning range; preparation and evaluation additional	1-5 Tage	1-4 Wochen	1-3 h
Participantsdifferent	Designers, developers as users, and facilitation	4-12	1-6	2-8
Formatdifferent	Workshop + async	Workshop + async	Async	Workshop
Outputdifferent	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Logic Model, Change Objectives, Intervention Components, Evaluation Plan	Experiment results, Decision log, Learning summary	Causal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap	ArchitectureEngineeringFeedbackValidationTasks	ChangeSystems thinkingCapability	ExperimentsGrowthAnalyticsValidation	FeedbackSystems thinkingCausalityDynamics

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