How the Afloat Training Group Transformed Their Readiness Assessments Using Learn to Win
The Afloat Training Group (ATG), a vital component of the Navy’s Ready Relevant Learning (RRL) initiative, faced significant challenges with outdated evaluation methods. Training assessments relied heavily on paper exams and Scantron bubble sheets, both of which required extensive manual grading. This consumed valuable time and resources, diverting focus away from mission-critical priorities.
Without analytics, outdated methods hindered consistent performance data analysis, leaving training groups unable to identify trends, knowledge gaps, or program effectiveness. Regional testing inconsistencies across fleets further complicated matters, undermining essential skill assessments like navigation and firefighting. These challenges impeded alignment with RRL’s goal of providing precise, effective learning to improve readiness.
Introducing Learn to Win's Solution
The Afloat Training Group partnered with Learn to Win to address critical challenges in training evaluation, driving a shift towards a modernized and efficient approach aligned with mission readiness goals.
With Learn to Win's tools in place, the Afloat Training Group achieved meaningful progress in streamlining processes, addressing critical challenges, and strengthening readiness across the fleet.
Improved Readiness Insights
Advanced analytics identified skill gaps, driving more focused training efforts. This supported a career-long learning continuum, enhancing sailor readiness across the fleet.
Time Efficiency
Automation reduced grading time, allowing assessors to prioritize critical tasks. This ensured sailors received modern delivery at the point of need, accelerating the readiness process.
Innovation in Testing
Secure, scalable solutions ensured assessments stayed relevant and adaptable. Leveraging integrated content development, ATG maintained alignment with evolving mission requirements.
With the platform fully operational, we’re already seeing the benefits. No more hand-carrying and manually grading LOKs, streamlined tracking, and the ability to quickly analyze results across different time periods and ship classes. Once all ships are set up, it’s going to save significant time and drastically improve efficiency.
