Training technologies are evolving rapidly; yet, more efficient and effective use of resources and training time has not been significantly impacted by these advancements. Adaptive and tailored opportunities for learning represent a path ahead to larger efficiency (Durlach & Ray, 2011), but without interoperable tracking and assessment from multiple training systems, improved solutions are potentially cost prohibitive. By leveraging analytics and metrics of performance-based activity data from a variety of sources, organizations can provide the right support to unlock potential efficiencies. A number of efforts are underway at the Department of Defense (DoD), to develop adaptive, learner-centric systems that drive learning and performance forward. Army efforts, driven by Army Learning Concept 2015 (Department of the Army, 2011), such as the Soldier Centered Army Learning Environment (SCALE), and the Generalized Intelligent Framework for Tutoring (GIFT) are working towards this end. Additionally, the Advanced Distributed Learning (ADL) Initiative is stewarding efforts, which focus on new approaches with standards and frameworks, such as the Training and Learning Architecture (TLA), and the Experience Application Programming Interface (xAPI). In concert, these efforts represent a path ahead to tailored and adaptive learning. In this paper, we will describe an approach that combines a subset of the previously described DoD learning and performance efforts to create an interoperable method for tracking individual and group performance across mobile interactions, virtual worlds, real world activities, games, and other sources. This method will show that data about informal and experiential learning can be integrated with traditional formal sources and other organization systems easily. The resulting image will highlight a better understanding of the connection between learning and performance data.