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Selected:Future Reality Tree A/B Testing Causal Loop Diagram ARID (Active Reviews for Intermediate Designs)

Criterion	Systems Thinking Future Reality Tree	Growth A/B Testing	Systems Thinking Causal Loop Diagram	Architecture ARID (Active Reviews for Intermediate Designs)
Purposedifferent	A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.	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.	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	High	High	Medium	Medium
Timedifferent	2-4 h	1-4 Wochen	1-3 h	2–4 h review as a planning range; preparation and evaluation additional
Participantsdifferent	3-8	1-6	2-8	Designers, developers as users, and facilitation
Formatdifferent	Workshop	Async	Workshop	Workshop + async
Outputdifferent	Future Reality Tree, Negative Branches, Assumption List, Improved Injections	Experiment results, Decision log, Learning summary	Causal Loop Diagram, Feedback Notes, Leverage Points	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions
Tagsno overlap	Theory of ConstraintsSystems thinkingChange	ExperimentsGrowthAnalyticsValidation	FeedbackSystems thinkingCausalityDynamics	ArchitectureEngineeringFeedbackValidationTasks

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