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AGO provides CSV exports for list pages and dashboard card data. This guide covers all available exports and how to use them.

Export Conversations as CSV

  1. Navigate to Chat History in the sidebar
  2. Apply filters to narrow the data (date range, agent, CX Score, topics, etc.)
  3. Click the Export button in the page header
  4. A CSV file downloads with all filtered conversations
The export includes: user email, agent name, creation date, evaluation status, CX Score, individual dimension scores (Resolution Quality, Response Accuracy, Tone & Empathy, Efficiency, Customer Effort), and applied topics/tags.

Export Feedback as CSV

  1. Navigate to Feedbacks in the sidebar
  2. Apply filters (date range, issue type, admin status, reviewer, etc.)
  3. Click the Export button
  4. A CSV file downloads with all filtered feedback entries
The export includes: conversation ID and transcript, user email, issue types, additional feedback text, creation date, tags, evaluation comment, reviewer, and admin status.

Export Tickets as CSV

  1. Navigate to Tickets in the sidebar
  2. Apply filters as needed
  3. Click the Export button in the page header
  4. A CSV file downloads with the full ticket list (not limited by pagination)

Export Dashboard Card Data as CSV

On the Knowledge tab of the Dashboard, each card has a download button: On the Tickets tab, the Top Requesters and Top Organizations tables also have download buttons that export up to 20 rows, compared with the top 10 displayed.
  1. Navigate to Dashboard and select the relevant tab
  2. Click the download icon on the card header
  3. A CSV file downloads with the data available for that card export

Combining Exports for External Analysis

For reporting in spreadsheets or BI tools:
  1. Weekly quality report — Export conversations filtered by last 7 days, import into a spreadsheet, create pivot tables by CX Score range and agent
  2. Knowledge gap analysis — Export the Knowledge tab’s Top Shared Documents, cross-reference with feedback export filtered by “Information Not Found” to find topics users ask about but the knowledge base doesn’t cover well
  3. Ticket volume tracking — Export tickets monthly, compare volumes and top requesters over time