Background: Identifying the conditions, doctrinal concepts and specific trainee actions underlying decision performance assists military trainers in applying limited intervention resources. We explore whether a machine learning approach to human decision learning process can provide targeted intervention guidance. Consequential Learning Assessment (CLA) measures the trainees’ ability to sense the state of the environment and take actions that minimize tactical risk without explicit instruction.