---
title: "How to analyze employee survey comments with AI"
description: "Start by agreeing what the survey promised employees about anonymity and who may see results, and keep comments separate from names and any detail that could identify someone in a small team. AI groups the comments into themes, counts how often each comes up by department or site above an agreed minimum group size, pulls out representative quotes with identifying details removed, and highlights anything that suggests harassment, safety or legal concerns. HR reviews the themes and flagged comments before anything is shared, serious concerns follow the existing reporting process, and leaders get a summary with actions to take rather than raw comments."
url: https://lidvizion.ai/answers/how-to-analyze-employee-survey-comments-with-ai/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can HR or leadership use AI to make sense of open-ended employee survey and exit interview comments without breaking anonymity?

Start by agreeing what the survey promised employees about anonymity and who may see results, and keep comments separate from names and any detail that could identify someone in a small team. AI groups the comments into themes, counts how often each comes up by department or site above an agreed minimum group size, pulls out representative quotes with identifying details removed, and highlights anything that suggests harassment, safety or legal concerns. HR reviews the themes and flagged comments before anything is shared, serious concerns follow the existing reporting process, and leaders get a summary with actions to take rather than raw comments.

## What this means in practice

- Agree anonymity promises and who may see results.
- Keep comments separate from names and identifying details.
- Group comments into themes above a minimum group size.
- Highlight harassment, safety or legal concerns for HR.
- Share summaries and actions, not raw comments.

## How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

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- [How can a business use AI to log, route and respond to customer complaints faster while making sure every one is handled fairly?](https://lidvizion.ai/answers/how-to-handle-customer-complaints-with-ai/)

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