🔐 Who can use this feature?
Survey types: Attributed (Snapshot), Attributed (Continuous), Unattributed
Subscriptions: Any package with Engagement
Sharing qualitative feedback is a powerful way to drive action. To protect employee confidentiality while providing actionable insights, Culture Amp allows you to apply a specific demographic filter to your Comments report.
How to set a comment filter
You can set your filter at any time, even after a survey has closed. However, once a filter is selected and the survey has launched, it cannot be changed.
Go to the Surveys page and click Edit Survey.
Under the Settings menu, click Comments.
Select your preferred demographic from the drop-down list.
Click Set Comment Filter to save.
ℹ️ Note: Setting a filter does not lock your report into a filtered-only view within Admin reporting. You can apply or un-apply the filter within your report at any time to switch between a specific demographic view and a complete, unfiltered list of all comments.
Understanding the trade-off: exports & confidentiality
Before adding a second filter, it is important to understand how this affects your Admin Report exports. We limit demographic data in exports to prevent "triangulation" (identifying a person by combining their demographics e.g., department, role, and tenure).
If you have... | What happens in the export? |
One filter (or none) | A demographic column will display the specific group (e.g., "Sales") for each comment. |
Multiple filters | Demographic columns are excluded. You will see the comments, but not the associated demographic labels. |
⚠️ Note If Raw Data Extract (RDE) is enabled, Survey Data Analysts can still see demographic columns for the selected filters. For a file containing all comments paired with all demographics, Survey Data Analysts should still use the Raw Data Extract export.
ℹ️ Note: Shared reports for Engagement Surveys never include demographic columns in the comments export, regardless of filter settings.
Filter to comments with an AI follow-up
If any question in the survey has AI follow-ups enabled, the Comments Report has an extra filter, Any follow-up responses, with three options:
Show all: every comment, with and without a follow-up conversation.
With follow-up responses: only comments that have a follow-up conversation.
Without follow-up responses: only comments that don't.
This filter only appears when at least one question in the report has follow-ups turned on, and it's independent of the demographic filter this article covers, you can use both together. For more on AI follow-ups generally, see AI Follow-Ups.
Special Rules: Onboarding & Exit Surveys
Because Onboarding and Exit surveys often have different privacy expectations, the rules shift based on your Reporting Group Minimum:
Minimum set to "0": Both Admin and Shared reports will display the commenter's name and demographic details.
Minimum set to "1" or higher: The standard single/multiple filter rules (listed above) apply.
Confidentiality: The "group minimum" rule
All exports respect your Comments Group Minimum setting. If a demographic group falls below this threshold, the export will display "n/a" to protect the respondent's identity. Even with RDE enabled, Survey Data Analysts are subject to these minimums in the standard comments export; they should use the Raw Data Export to ensure every comment is included.
Need a second filter?
While we default to one filter to protect anonymity, you can request a second.
How: Start a Support Conversation in-app.
What to include: The Survey Name and the Demographic you want to add.
Next Steps: Our team will enable this for you manually.
Why is filtering limited for comments?
We take employee confidentiality seriously. While quantitative data is aggregated, verbatim comments are unique and can be "followed" or traced through a process of elimination if too many filters are applied. This risk is known as demographic triangulation.
By limiting filters, we prevent "demographic triangulation," ensuring employees feel safe providing honest, raw feedback while maintaining the overall integrity of your results.
💬 Need help? Open a support conversation to speak with our Product Support team.