> ## 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.

# Dscout

Discover how to leverage CoLoop for analyzing Dscout projects. Export entry data and media from Dscout missions, import it into CoLoop, and optimize your analysis workflow.

CoLoop supports the analysis of Dscout Diary, Express, and Usability Test missions, including text-based entry data as well as photo and video media.

## Exporting Data from Dscout

#### 1. **Export Entry Data (csv)**

To export entry data from a Dscout mission for import into CoLoop:

1. Open your mission in Dscout
2. Navigate to the **Entries** page (Diary) or **Responses** tab (Express/ Usability Test)
3. Click the **export icon** in the top-right corner of the screen (a box with an arrow pointing out of it)
4. In the export menu, go to the **Basic** tab
5. Click **Entry data** to download a `.csv` file of all participant responses, including transcripts of any video responses

**Note:** Exports may take some time depending on the volume of data in your mission.

<Frame>
  <img src="https://cdn.coloop.ai/mintlify-coloop-docs/Dscout-image1-1.png" alt="Dscout Image1 1" title="Dscout Image1 1" className="mx-auto" style={{ width:"67%" }} />
</Frame>

#### 2. Export Media (Photos & Videos)

To export photo and video data from a Dscout mission for import into CoLoop:

1. Open your mission in scout
2. Navigate to the **Entries** page (Diary) or **Responses** tab (Express/ Usability Test)
3. Click the **export icon** in the top-right corner of the screen
4. In the export menu, go to the **Basic** tab
5. Click **Photos and videos** to download a `.zip` archive of all media files submitted by participants

<Frame>
  <img src="https://cdn.coloop.ai/mintlify-coloop-docs/Dscout-image2-1.png" alt="Dscout Image2 1" title="Dscout Image2 1" className="mx-auto" style={{ width:"66%" }} />
</Frame>

## Importing Dscout data into CoLoop

To import Dscout data into CoLoop:

1. Click **Add Files**
2. Select **Dscout**
3. Follow the on-screen instructions to upload your files: First, upload the **(1) Entry data CSV** file, then upload the **(2) Media ZIP** file (if applicable)

**Important:** You must always upload the Entry data CSV file. Media ZIP files cannot be uploaded without the accompanying CSV. It is best to upload them together at the same time.

<Frame>
  <img src="https://cdn.coloop.ai/mintlify-coloop-docs/images/image-7.png" alt="Image" title="Image" className="mx-auto" style={{ width:"74%" }} />
</Frame>

<Frame>
  <img src="https://cdn.coloop.ai/mintlify-coloop-docs/images/Screenshot-2026-04-27-at-21.41.07.png" alt="Screenshot 2026 04 27 At 21 41 07" title="Screenshot 2026 04 27 At 21 41 07" className="mx-auto" style={{ width:"71%" }} />
</Frame>

## Viewing Dscout data in CoLoop

Once your Dscout data has uploaded into CoLoop, you can click to view the data inside.

<Frame>
  ![D Scout Image](https://cdn.coloop.ai/mintlify-coloop-docs/images/DScout-image.png)
</Frame>

<Tip>
  CoLoop will look at all data by default. To receive more granular analysis, try searching via filter or segment.
</Tip>