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Conversations and analytics
Every conversation an AI Fellow holds is transcribed and saved automatically. From the AI Fellow detail page, administrators can review how the AI Fellow is being used and read what users are asking.

Information shown
- Usage by period and channel. The AI Fellows dashboard shows active conversations, total conversations, messages, minutes, and average minutes per conversation. Use Period to choose This year, Today, Yesterday, This month, Last month, or All time. Use Channel to compare All channels, Real-time call, or Text chat.
- Most active and Trending. These lists show the AI Fellows with the most conversations and the largest increase for the selected period and channel. Period comparison chips appear when a previous period is available.
- Transcripts. Full text of each conversation, with the images the AI Fellow showed: pictures it generated, images from its Media Library, and images returned by a Connector. Select an image to open it in a new tab. Images the user sent and whiteboard drawings appear only as a short note.
- Conversation management. Authorized administrators can open a conversation and, when needed, delete its message contents while keeping the activity record for reporting.
When a user continues a past conversation, the AI Fellow has a larger portion of the prior transcript available as context. This helps the AI Fellow preserve more context from a long previous call when resuming it.


Export conversations
Click Export and choose which conversations to include.
- All conversations
- This year, This month, This week, or Today
- Specific dates, then Start date and End date
Select Export in the dialog to download a ZIP containing conversations that started during the selected period. The date range includes whole days. All conversations includes every conversation you can access from this page.
The ZIP contains:
conversations.csv, a global metadata file with the Conversation UUID, AI Fellow, Channel, Messages, Total minutes, Started at, and Last message at.- One message CSV for each conversation that has transcript messages. The filename is the conversation UUID.
Each message CSV contains the Role, Content, and Time columns. User identity columns, including user name, email, and External User, are omitted. Images are not included; an image the AI Fellow showed appears as [Shared image: …] with its name.

Transcript content is exported as stored. Personal or confidential details within the text are not removed. Check your workspace policy before sharing the ZIP.
The export ignores the Search conversations field. It uses the period you chose and the conversations available to your role on this page.
AI Fellow report
Use Global Progress Reports on the AI Fellow's monitoring page to understand what users ask about, where the Fellow helps, and where its guidance could improve. Each report uses conversations with that Fellow. For reporting on a training programme, see Learning Path report.
Generating again adds another report. Older completed reports stay under Global Progress Reports. A report needs some conversation history to draw on, so generate it once the AI Fellow has been used.

Privacy considerations
Transcript attribution depends on the AI Fellow visibility:

- Public AI Fellows. Conversations are anonymous by default. Authorized administrators can read the transcript from Studio, but the transcripts cannot be filtered by user unless the embed or link passes an external user ID.
- Private AI Fellows. The user must be signed in, so the conversation is tied to their identity. Transcripts can be searched by user.
- Inside a Learning Path. The user is identified for progress tracking, so per-user progress against the Learning Path sessions and objectives is visible to authorized administrators. The transcript itself follows the same rules as a Private AI Fellow.

To enable attributed progress tracking on a standalone AI Fellow, set its visibility to Private, pass an external user ID through the embed, or assign the AI Fellow to a Learning Path.