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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
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.SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitydifferent
MediumHighHighHigh
Timedifferent
1-3 hPreparation, scenario analysis, and findings review; effort depends on scope1-6 Wochen2-6 h
Participantsdifferent
2-8Architecture experts and stakeholders for scenarios and weighting4-103-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternatives8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
ArchitectureChangeAnalysisComparisonQuality
QualityProblem solvingRoot cause
Systems thinkingRoot causeConstraintsCausality
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