This page covers the analytics data available for monitoring coach usage.
On this page: Analytics
Lyra Analytics
Lyra captures usage data for each coach, which can be shared with admins on request. This data is currently provided manually and is not yet connected into Fuse Universal Analytics, integration with our platform's native reporting is on the roadmap.
Available data points
|
Metric |
Description |
|---|---|
|
Active users |
Unique users who have engaged with any Lyra coach in a given period |
|
Total sessions |
Number of coaching sessions started across all coaches |
|
Total threads |
Number of individual conversation threads opened |
|
Sessions by coach |
Which coaches are getting the most use |
|
Top themes |
The most common topics users are asking about across coaches |
|
Messages sent |
Total messages sent to a specific coach |
|
Number of threads |
Total conversation threads opened with that coach |
|
Average messages per thread |
Mean conversation depth — how many exchanges a typical conversation involves |
What to look for
-
Active users over total messages. A coach with 50 active users having meaningful conversations is more valuable than one with 5 power users sending hundreds of messages.
-
Low messages per thread. If users are opening threads but only sending one or two messages, they may not be finding value. Review the knowledge base and purpose — the coach may not be answering what users actually need.
-
Top themes vs. knowledge base coverage. If a theme is popular but the coach's knowledge base is thin on that topic, that's a gap worth filling. If users are asking about things the coach isn't designed for, consider whether you need clearer guidance on scope or a new coach for that topic.