Learning Analytics and Insights Questions

Covers capturing, measuring, analyzing, and acting on data from learning programs and systems. Interviewers assess your approach to instrumentation and data collection across learning management systems, course modules, on the job assessments, and learner feedback; the metrics you track such as completion rates, time to competency, knowledge retention, learner engagement, and business impact; methods for identifying trends, skill gaps, and training effectiveness; experimental and quasi experimental approaches such as A B testing and cohort analysis to determine causality; dashboarding and reporting practices for different stakeholders; techniques for translating learning insights into program design changes, content optimization, learning technology investments, and return on learning calculations. Candidates should be able to describe data sources, data quality checks, analytic methods, examples of insights discovered, and how those insights influenced decisions and measured outcomes.