Personalized Intervention Design & Optimization Agent

Designs personalized interventions by selecting optimal strategy type (personalized email, manager alert, content recommendation, in-app notification, peer connection, schedule adjustment, support call), generating personalized message content using learner context (name, course, progress, stuck module), optimizing channel selection based on historical response rates, predicting effectiveness (open rate, response rate, recovery probability), and scheduling interventions for optimal engagement windows. Applies learned patterns from 847+ historical intervention episodes.