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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration for Incident Timeline Analysis.
DevOps
Incident Timeline Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Causal Loop Diagram workspace showing the question, observations, and next decision.
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.For an incident with an unclear sequence, the method makes the timeline precisely visible. It separates perception, reaction, and delay so cause and effect become more clearly readable.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.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
MediumMediumHighMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional60-180 min2-6 h1-3 h
Participantsdifferent
Designers, developers as users, and facilitation3-103-102-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsIncident Timeline, Evidence Log, Delay Analysis, Improvement ActionsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
IncidentTimelineSite Reliability Engineering
CausalityIncidentRoot causeTimeline
FeedbackSystems thinkingCausalityDynamics
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