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Criterion
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Purposedifferent
Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.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 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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
1-3 h1-3 h2–4 h review as a planning range; preparation and evaluation additional1-3 h
Participantsdifferent
3-123-12Designers, developers as users, and facilitation2-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Knowledge Map, Critical Knowledge Areas, Transfer PlanSystem Map, Dependencies, Leverage PointsPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
KnowledgeMappingRisk
Systems thinkingMappingBoundariesChange
ArchitectureEngineeringFeedbackValidationTasks
FeedbackSystems thinkingCausalityDynamics
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