> For the complete documentation index, see [llms.txt](https://help.metaforms.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.metaforms.ai/data-processing/python/step-2-understanding-the-interface.md).

# Step 2: Understanding the Interface

Once script generation is complete, the Data Validation module presents two primary views: **Checks** and **Respondents**. Together, they give you full visibility into the validation logic and the underlying data.

### Checks View

![](https://usercontent.in.prod.clueso.io/743138ba-7933-4a1a-90b2-26ddeb90ccbd/f92caeff-fe49-434b-a35f-fb2b01d97783/f5a37142-3fd8-412d-9b9c-82bb70a8fc4d/images/68756712-7c47-49ac-b663-27bcbfdceb01.png)

The Checks view is the main workspace for reviewing and managing your validation scripts. Each block corresponds to a question from the questionnaire. You can also use the navigation on the left to scroll to scripts for specific questions.

> Every check will be followed after a comment that describes the intent of the check

### Respondents View

![](https://usercontent.in.prod.clueso.io/743138ba-7933-4a1a-90b2-26ddeb90ccbd/f92caeff-fe49-434b-a35f-fb2b01d97783/f5a37142-3fd8-412d-9b9c-82bb70a8fc4d/images/b5a1c62f-10da-4833-a7c3-b3d9b5d6e0f8.png)

The Respondents tab provides a raw tabular view of the data from your SAV file. Each row represents a respondent, and each column corresponds to a variable.

You can use column filters to narrow down the view to specific variables or respondent subsets. This is useful for spot-checking data before running validation, or for examining the raw responses of respondents flagged by a particular check.

![](https://usercontent.in.prod.clueso.io/743138ba-7933-4a1a-90b2-26ddeb90ccbd/f92caeff-fe49-434b-a35f-fb2b01d97783/f5a37142-3fd8-412d-9b9c-82bb70a8fc4d/images/61dafa53-8f70-43db-92d9-8cb8ef82b782.png)

After checks are run, the Respondents view also supports **validation filters** — letting you display only respondents who failed validation on specific questions, so you can quickly drill into problem areas.


---

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