# CSAT Collection

Customer Satisfaction (CSAT) feedback helps you continuously improve your AI agent's performance based on real customer experiences. The Alhena dashboard allows you to customize and automate CSAT collection after a customer interaction.

***

## Accessing the CSAT Settings

1. **Login to your Alhena Dashboard**\
   Go to [app.alhena.ai](https://app.alhena.ai/) and log into your account.
2. **Navigate to Website Chat Integration**\
   From the left sidebar, go to:
   * **Integrations** → **Website Setup**
   * Click the **CSAT Feedback** tab

***

## Configuring CSAT Feedback

#### 1. **CSAT Prompt**

Customize the question shown to users when Alhena detects the query is resolved.

* **Example:** "How would you rate the support experience?"

#### 2. **Feedback Delay**

Specify how long Alhena should wait before prompting for feedback:

* Options are 30 seconds, 1 min, 2 mins and 5 mins
* Default: **30 seconds**

***

## Collecting Additional Feedback

#### For **Positive Ratings** (4 or 5 stars):

**Heading:**

* *Default:* "Thank you for your feedback!"

**Multiple Choice Options:**

Customize up to 4 options (e.g.,):

* Fast replies
* Accurate info
* Clear explanations
* Helpful suggestions
* Other (opens a free-text field)

#### For **Negative Ratings** (1 to 3 stars):

**Heading:**

* *Default:* "We're sorry to hear that."

**Feedback Reasons:**

Customize up to 4 options (e.g.,):

* Inaccurate
* Too slow
* Confusing
* Not relevant
* Other (free-text)

***

## Real-Time Preview

As you customize the CSAT setup, you'll see a **Preview of Website SDK Home Screen** on the right. This helps you visualize how the feedback request will appear to customers on your site.

***

## Save Your Changes

Once everything looks good, click the **Save Changes** button to apply your new CSAT settings.

***

## Best Practices

* Keep the prompt friendly and conversational
* Use clear, meaningful feedback options
* Regularly review CSAT data to identify trends and improve the AI experience

***

For questions or advanced setup help, [contact support](/docs/troubleshooting/troubleshooting.md#contact-support).

***

<figure><img src="/files/bZt7dTu8oAwmn4hz6Gcv" alt=""><figcaption></figcaption></figure>

***

#### See also

* [Agent Performance](/docs/dashboard/analytics/agent-performance.md) - Track conversation volume, AI vs. human handled interactions, and credit usage
* [Trending Topics](/docs/dashboard/analytics/trending-topics.md) - Analyze conversation patterns by topic to understand what customers are asking about
* [Revenue Impact](/docs/dashboard/analytics/revenue-impact.md) - Measure the revenue contribution of your AI agent with cart and GMV analytics


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://alhena.gitbook.io/docs/dashboard/analytics/csat-collection.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
