Air Force Uses Data Tools for Training
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UFA, Inc. announced a partnership with Air Force Special Operations Command (AFSOC) to develop and deploy data analytics tools for Air Traffic Control (ATC) training. The initiative aims to address a shortage of certified controllers in the Department of the Air Force (DAF).
Funded through a Small Business Innovation Research (SBIR) award, the project provides integrated analytics tools that allow ATC trainees to practice independently with automated scoring. The tools also provide instructors with detailed performance data to target training more effectively.
The DAF has experienced high attrition and understaffing in ATCs. UFA’s technology captures trace data from simulator exercises and analyzes it against objective standards to provide automatic feedback. This real-time feedback enables trainees to practice anytime, while instructors receive evidence of knowledge, skills, and behavior trends to guide individualized instruction.
“The critical shortage of air traffic controllers is a direct challenge to our national security,” said David Wolff, CEO of UFA. “The problem is often compounded by traditional training methods that have not evolved in decades and rely heavily on subjective, over-the-shoulder observation. ATReview solves this challenge by transforming training from a subjective art into a data-driven science. By providing every trainee and instructor with objective, actionable performance data, we can accelerate the development of highly skilled controllers. We are honored to partner with AFWERX and AFSOC to field this critical capability.”
ATReview also includes voice recognition that transcribes and analyzes communications, scores phraseology, and tracks key competencies such as Situational Awareness, Conflict Resolution, and Traffic Management. A time-synchronized playback feature allows review of transcribed communications and critical events for debriefing.
This data-driven training approach represents a modernization effort for the DAF and provides a scalable, objective model to address civil and military ATC shortages.
