Comprehensive insights into chatbot interactions, escalations, engagement patterns, and sentiment analysis
Explore patterns in conversation escalations, trigger phrases, and resolution strategies
Understand conversation dynamics, response patterns, and user engagement metrics
Analyze emotional patterns, sentiment transitions, and their impact on enrollment
High Engagement, Mixed Outcomes: The system successfully engages all 18,916 students with relatively positive sentiment (0.181) and reasonable response times (965.7 minutes), yet achieves only a 38.2% enrollment rate despite generating 27,339 escalations, suggesting that while the communication infrastructure effectively reaches and maintains contact with students, significant barriers remain in converting engagement into enrollment outcomes. This captures the central paradox revealed across all the data - strong operational metrics (universal reach, positive sentiment, active escalation monitoring) alongside modest conversion results.