# Capture F\&B Feedback

### Overview

Collect and organize guest feedback across your entire food and beverage experience. Your Agent captures both ratings and open-text responses, identifying high-impact service gaps and turning real-time guest sentiment into clear, actionable insights.

<figure><img src="/files/TU1NHtBZPcd1lU4AQTa5" alt=""><figcaption></figcaption></figure>

### Benefits

<table data-view="cards"><thead><tr><th></th></tr></thead><tbody><tr><td>Capture structured feedback at the item and stand level</td></tr><tr><td>Combine ratings and open-text to give teams both a score and a story</td></tr><tr><td>Replace post-event surveys with in-moment capture when feedback is most accurate</td></tr></tbody></table>

#### What Success Looks Like

This campaign directly supports the following KRs:

* Feedback rate on responses
* Positive response feedback rate

#### How to Track Results in the Agent Performance Console <a href="#how-to-track-results-in-the-agent-performance-console" id="how-to-track-results-in-the-agent-performance-console"></a>

1. Go to <https://agent.satis.fi/agent/food-beverage>
2. On Objectives & Key Results, expand the **Drive Meaningful Engagement Across the Food Experience** card
3. See **Current - Forecast** Key Result Progress

<figure><img src="/files/IM3BtfwINGXa4LhVMEPp" alt=""><figcaption></figcaption></figure>

4. Use the **Agent Chat** to ask questions like:
   1. Tell me the recent stats on the Capture F\&B Feedback campaign
   2. How did the feedback rate change over the last couple of weeks?


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# 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://docs.satisfilabs.com/resource-center/ai-agent-engine/agent-performance-console/agent-campaigns/food-and-beverage-agent/capture-f-and-b-feedback.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.