> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.ada.cx/docs/optimization/performance/csat-survey/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.ada.cx/_mcp/server.

# CSAT survey

> **Tip**
>
> **Not sure where to begin?** Explore our [Getting started](/docs/welcome/getting-started) guidelines to set up your first AI Agent, review [Key concepts](/docs/welcome/key-concepts) to understand the essentials, or check out [Improvement tactics](/docs/welcome/improvement-tactics) to resolve issues and keep things running smoothly.

Customer Satisfaction (CSAT) surveys can help you measure how customers feel about their interaction with the AI Agent.

> **Note**
>
> Before getting started with evaluating CSAT data, make sure your AI Agent's core elements—like [Knowledge](/docs/knowledge), [Actions](/docs/automation/tools/api-tools), and [Processes](/docs/automation/processes)—are in place. Other core features may also apply depending on your setup.

This section covers [how to configure CSAT surveys](/docs/optimization/performance/csat-survey/csat-survey-configuration#configure-csat), and [which reports to use to interpret that data](/docs/optimization/performance/csat-survey/csat-survey-configuration#UUID-f6e94e16-103a-b225-d6a1-e76889418220_id_360018418294_id_h_3b418218-0deb-48ca-82e0-858e6cf48032).

![CSAT Surveys](/_fern-img/1b90f8a8745f878a62edd8523a3f896c53ca07e5ad324fbc1ae409d0b948296f.webp)

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Have any questions? Contact your Ada team, or email us at [](mailto:help@ada.cx?subject=Help%20Docs%20inquiry).

> Overview

## Docs

- [CSAT survey configuration](https://docs.ada.cx/docs/optimization/performance/csat-survey/csat-survey-configuration.md)