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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration for Change Analysis.
Operations
Change Analysis
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.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 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
1-2 hHalf dayPreparation, scenario analysis, and findings review; effort depends on scope45-120 min
Participantsdifferent
3-123-12Architecture experts and stakeholders for scenarios and weighting2-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsLeverage Map, Action StrategyDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesChange Matrix, Cause Hypotheses, Validation Questions, Action List
Tagsno overlap
Systems thinkingTradeoffsLeadership
Systems thinkingChangeStrategy
ArchitectureChangeAnalysisComparisonQuality
ChangeRoot causeTroubleshootingComparison
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