Causal Loop Diagram
A causal loop diagram is a visual model that illustrates how different variables influence one another through cause-and-effect relationships within a system.
“A graphical representation used to visualize cause-effect relationships and feedback loops in a system.”
(Definition reproduced from the ISTQB Glossary. Copyright belongs to ISTQB.)
View the complete ISTQB GlossaryWhat is Causal Loop Diagram?
Causal loop diagrams help teams understand complex systems by showing feedback loops, reinforcing relationships, and balancing interactions between variables.
Cause-and-effect relationships: Variables influence one another through connected loops.
Feedback loops: Reinforcing and balancing loops explain system behavior over time.
Analysis support: Diagrams help identify root causes and unintended consequences.
Real World Example
A regulated product team is preparing a release where Causal loop diagram appears in reviews, test design conversations, or defect triage rather than as an isolated glossary word.
The risk is that the team treats Causal loop diagram as interchangeable with nearby ISTQB terms. That makes test scope blurry and can lead to weak evidence for the release decision.
The tester anchors the discussion in the official definition, asks where the concept appears in the product, and designs examples that show the difference between Causal loop diagram and similar ideas.
The page becomes useful in practice because Causal loop diagram is connected to a specific testing decision, not memorized as a detached definition.
Practice Questions
Question 1
Which problem suits a causal loop diagram BEST?
Question 2
Which element is MOST characteristic of causal loop diagrams?
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