The document discusses CIBER's work using deep log analysis (DLA) to understand user behavior in digital environments. DLA transforms digital activity data into information on user satisfaction, impacts, and outcomes. Findings from DLA are used to inform system changes. Benefits of DLA include its ability to analyze massive amounts of direct and real-time user activity data without sampling. CIBER has used DLA in various research projects analyzing digital behavior in fields like health, publishing, and education.