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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Surveys method illustration showing its working structure
UX Research
Surveys
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration for Behavior Over Time Graph.
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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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
MediumMediumMediumLow
Timedifferent
1-3 h3-14 Tage2–4 h review as a planning range; preparation and evaluation additional20-45 min
Participantsdifferent
2-850+Designers, developers as users, and facilitation1-10
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsSurvey Results, Charts, Segment InsightsPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsBehavior Over Time Graph, Trend Hypotheses, Key Events
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
QuantitativeResearchValidation
ArchitectureEngineeringFeedbackValidationTasks
Systems thinkingPatternsDynamics
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