What is the role of learning analytics in L&D, and which two metrics would you track?

• A. To document attendance; metrics: completion rate and time to proficiency.
• B. To replace trainers; metrics: engagement score and cost.
• C. To diagnose hardware issues; metrics: uptime and error rate.
• D. To measure customer satisfaction; metrics: NPS and churn.

Answer: (A)

Learning analytics helps you understand how learning activities translate into real performance and improvement on the job. Tracking completion rate shows who finishes the training, revealing reach and engagement with the program. Time to proficiency measures how quickly learners achieve a defined level of competency, highlighting the efficiency and effectiveness of the learning design and support. Together, these metrics tell you whether people not only start the course but also become proficient in a timely way, which is the ultimate goal of L&D.

Attendance alone doesn’t capture learning impact, since people can attend without mastering the material. The other options miss the focus on learning outcomes: diagnosing hardware issues belongs to IT infrastructure, replacing trainers isn’t what learning analytics aim to do, and measuring customer satisfaction relates to external outcomes rather than the learning program’s effectiveness.