The Analytics Dashboard provides real-time data about how users interact with your AI Assistant, helping you understand user engagement patterns and optimize the learning experience. With features like Key Topics analysis, you can transform invisible user-AI interactions into valuable teaching data. These insights allow for data-driven decision making and continuous improvement of your teaching approach.
Total Messages Sent: Track the total number of messages sent. This metric helps you understand the level of engagement and communication among members, facilitators, and owners.
Active Users: Identify the number of users actively sending messages. This insight allows you to gauge member involvement and identify those who may need more support.
Messages by User: Review the number of messages sent by each user. This feature helps you recognize active participants and those who might need encouragement to engage more.
Messages Over Time: Analyze trends in communication over specific time periods. This visualization aids in understanding peak interaction times and planning your teaching activities accordingly.
The Key Topics feature provides unprecedented visibility into what users are discussing with AI Assistants. This ranked list of most frequently discussed subjects helps you understand user interests, identify knowledge gaps, and optimize your teaching approach.
Trending Topics: See the most frequently discussed subjects in conversations with your AI Assistant, sorted by popularity. Identify what concepts users are most interested in or struggling with.
Conversation Count: Track the number of conversations for each topic to understand the volume of discussions around particular subjects. This helps identify which areas may need more classroom coverage.