Abstract: A method of automated analysis of learning content's impact on agent performance according to an embodiment includes automatically determining a first set of performance metrics for an agent for a predefined first period before the agent participated in a learning module in response to notification of completion in the learning module, automatically determining a second set of performance metrics for the agent for a predefined second period after the agent participated in the learning module in response to determining that the predefined second period has elapsed, computing a first set of performance metric differences between those sets of metrics, and performing correlation analysis to determine whether the learning module significantly effects one or more performance metrics of the agent based on a plurality of performance metric differences computed for a plurality of agents, wherein the plurality of performance metric differences includes the first set of performance metric differences.