> ## Documentation Index
> Fetch the complete documentation index at: https://docs.coloop.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Listen Labs

> Import Listen Labs survey data into CoLoop for qualitative analysis using AI-powered grids and chat.

Import your Listen Labs survey responses into CoLoop to analyze open-ended feedback with AI-powered grids and chat.

## Exporting Data from Listen Labs

To export your data from Listen Labs:

1. Open your project in Listen Labs
2. Click **Export complete responses**
3. Download the Excel file to your computer

## Importing into CoLoop

To import your Listen Labs data:

1. Open your project in CoLoop and click **Add Files**
2. Scroll to the **Integrations** section
3. Click **Listen Labs**
4. Select your exported Excel file

<img src="https://cdn.coloop.ai/mintlify-coloop-docs/images/docs-assets/integrations/listen-labs-import-button.png" alt="CoLoop import modal showing the Listen Labs button in the Integrations section" style={{ borderRadius: "6px" }} />

CoLoop will process your file and index the responses for analysis.

## Analyzing Your Data

Once your data is imported, you can analyze it using:

* **Grids** for structured thematic analysis across questions
* **Chat** for flexible, conversational exploration of your data

By default, CoLoop analyzes across all your data. To focus on specific questions:

1. In the chat input area, click **Add filter**
2. In the Data Filters dialog, click **Add files filter**
3. Select your Listen Labs file to expand it
4. Expand activities to see individual questions
5. Check the specific questions you want to analyze

<img src="https://cdn.coloop.ai/mintlify-coloop-docs/images/docs-assets/integrations/listen-labs-filter-questions.png" alt="Data Filters dialog with Listen Labs file expanded, showing activities and individual questions available for selection" style={{ borderRadius: "6px" }} />

<Tip>
  Filtering by question helps you get more focused insights rather than analyzing the entire dataset at once.
</Tip>

For more on analysis techniques, see [Analysis Grids](/docs/analysis/analysis-grids) and [Chat 2.0](/docs/analysis/chat-2.0).