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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 Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration for Theory of Constraints Thinking Process.
Systems Thinking
Theory of Constraints Thinking Process
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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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.The Theory of Constraints Thinking Process exposes a system's bottleneck and the logic behind it. It suits situations where many symptoms trace back to the same limiting relationship.
Complexitydifferent
MediumMediumHighHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional60-120 min2-6 h0.5-3 Tage
Participantsdifferent
Designers, developers as users, and facilitation2-83-104-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCurrent Reality Logic, Conflict Cloud, Future Reality Tree, Implementation Obstacles
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
Theory of ConstraintsAssumptionsSystems thinking
CausalityIncidentRoot causeTimeline
Theory of ConstraintsConstraintsSystems thinkingCausality
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