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Criterion
Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow Diagram
Paper illustration for Risk Storming.
Architecture
Risk Storming
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Purposedifferent
A Stock and Flow Diagram shows how stocks, inflows, and outflows shape a system over time. It is especially suited when growth, delays, or capacity limits determine the dynamics.Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.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.
Complexitydifferent
HighLowHighMedium
Timedifferent
2-6 h60-90 minSeveral meetings plus preparation and analysis; total effort depends on scope1-3 h
Participantsdifferent
1-64-12Evaluation team, architects, and relevant stakeholders2-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Stock and Flow Model, Dynamics Notes, Simulation HypothesesAnnotated Diagram, Prioritized Risk List, Action BacklogPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
DynamicsSimulationFeedbackSystems thinking
RiskArchitectureWorkshopValidation
ArchitectureQualityRiskTradeoffsStakeholders
FeedbackSystems thinkingCausalityDynamics
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