| REQUIRED USER ROLE Administrator, Team Manager, or Analyst | PERMISSION OVERVIEW View permissions by role |
The Gladly AI Feedback Report gives Admins and Team Managers a row-by-row export of every thumbs up / thumbs down review – and any comment left with it – submitted on AI Sessions. Unlike the rolled-up summary reports, this report returns one row per review, so you can read individual reviewer comments and open the exact Session each review is tied to. The same data is also available as a downloadable CSV, and in-app as an embedded dashboard.
Access the report
Click
.
Select Reports.
Navigate to the Gladly AI section.
Select Gladly AI Feedback Report.
Set your date range filter and click View Report.
Alternatively, click Download CSV.
How the report is measured
Grain – One row per review. A Session with multiple reviews appears once per review; a Session with no reviews does not appear at all.
Source data – Reviews are the same thumbs up / thumbs down ratings and comments captured on the Reviews page.
Time anchor – Rows are anchored to the date the review was submitted, not the date of the original Session, so the Date filter selects reviews by when the feedback was left.
Reviewer scope – Only agent-authored reviews are shown. Internal Gladly (admin) reviews are excluded.
What the report shows
Each row represents a single review left on a Gladly AI Session. Because a Session can receive more than one review, the same Session may appear on multiple rows.
Column Name | Description |
|---|---|
Filters
Filter Name | Comments |
|---|---|
Use this report
Filter to Thumbs Down to pull every negative review in the period, then read the Comment column to understand what went wrong and use the Conversation Link to open the full Session.
Filter by Rated By to see the reviews a particular Agent submitted, or by Channel / Gladly Agent to focus on a specific surface or AI profile.
Scan the Comment column for recurring themes — comments are where reviewers explain the "why" behind a rating.
Export to CSV to pivot the raw reviews yourself, or join them to other Session-level data by Session ID or Conversation ID.
