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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 Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration for Change Analysis.
Operations
Change Analysis
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.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.For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.
Complexitydifferent
MediumHighHighMedium
Timedifferent
1-3 hPreparation, scenario analysis, and findings review; effort depends on scope2-6 h45-120 min
Participantsdifferent
2-8Architecture experts and stakeholders for scenarios and weighting3-82-6
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
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 alternativesCurrent Reality Tree, Core Problems, Intervention IdeasChange Matrix, Cause Hypotheses, Validation Questions, Action List
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
ArchitectureChangeAnalysisComparisonQuality
Systems thinkingRoot causeConstraintsCausality
ChangeRoot causeTroubleshootingComparison
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