Analytics dashboard
Offers educators real-time insights into student interactions with AI Assistants, enabling data-driven enhancements to teaching strategies.
Turning Engagement into Insights
The Analytics Dashboard provides real-time data about how your AI Assistant is being used, 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.
Key Metrics & Insights
Total Messages Sent
Track the number of messages sent overall. 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 additional support.
Messages by User
Review the number of messages sent by each user. This feature helps you recognize active participants and those who might benefit from 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.
Key Topics: Uncover User Conversations
Transform Hidden Interactions Into Teaching Insights
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. Quickly 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 prioritize which areas may need additional classroom coverage.
Accessing the Dashboard
Select Your Assistant
Navigate to the Assistant you wish to analyze by clicking on it from your sidebar
Open the Analytics Dashboard
Click on the Analytics button at the top right corner to access the comprehensive analytics dashboard
Apply Filters
Utilize the filtering options to refine your data view:
Filter by day, week, month, or custom date range
Filter by member, facilitator, or owner roles
Making Data-Driven Decisions
Recommendations for Facilitators and Owners
Monitor Engagement Levels
Regularly check the total messages sent and active users to ensure members are engaging with the course material. If engagement is low, consider introducing interactive activities or discussions to boost participation.
Identify Key Contributors
Use the messages by user feature to identify members who are actively contributing. Acknowledge their efforts and encourage them to lead discussions or assist peers.
Spot Trends and Patterns
Analyze the messages sent over time to identify patterns in user behavior. Use this information to adjust your teaching schedule, ensuring that important topics are covered during peak engagement periods.
Personalize Feedback
Leverage insights from the dashboard to provide personalized feedback to members. Recognize their contributions and offer guidance to those who may need additional support.
Refine Teaching Strategies
Use the data to refine your teaching strategies. For example, if you notice a drop in engagement, consider introducing new teaching methods or tools to re-engage members.
Identify Knowledge Gaps with Key Topics
Use the Key Topics feature to identify concepts members are discussing most frequently with the AI Assistant. This can reveal areas where users need additional clarification or support.
Optimize Course Materials
Review trending topics to understand which course materials may need enhancement. If members are frequently asking about specific concepts, consider developing additional resources or revising existing content to address these areas.
Track Interest Evolution
Monitor how Key Topics change over time to understand the evolution of user interests and challenges throughout the course. This temporal view can help you adjust your teaching pace and emphasis.