Causal diagrams, often represented as Directed Acyclic Graphs (DAGs), are powerful tools used to visually and analytically represent assumptions about the causal relationships between variables. They help in identifying potential confounders, mediators, and colliders, thus aiding in the design of observational studies and the interpretation of causal inference.