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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 of MORT Analysis with its method-specific working model.
Operations
MORT 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 a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps.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
MediumHighHighMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additionalMehrere Tage bis Wochen2-6 h1-3 h
Participantsdifferent
Designers, developers as users, and facilitation2-63-102-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsMORT Worksheets, Findings per Branch, Corrective Actions, Systemic RecommendationsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
Root causeSafetySystemicIncident
CausalityIncidentRoot causeTimeline
FeedbackSystems thinkingCausalityDynamics
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