> For the complete documentation index, see [llms.txt](https://docs.satisfilabs.com/resource-center/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.satisfilabs.com/resource-center/ai-agent-engine/reporting-and-analytics/analytics-dashboard/legacy/intent-explorer-dashboard.md).

# Intent Explorer Dashboard

[#video-explainer](#video-explainer "mention")

The Intent Explorer Dashboard is a powerful tool designed to provide accessible business-driving insights. With the help of intuitive filters, you can easily explore intents and gain unique insights into customer preferences that directly impact your business.

Using the dashboard, you can leverage filters to search for specific intents, categories, or actions within the indexed data. By clicking on a specific intent, you can deep-dive into detailed information related to it.

<figure><img src="/files/Pyd6nxXWsHiYOC2enik3" alt=""><figcaption></figcaption></figure>

## How can I use filters to better understand user behavior?

Each filter helps you look at customer behavior from different angles.

#### Filter by AI Assistant

This is an important dimension because it allows you to see data categorized by AI Assistants and  their specific subject matter expertise: tickets, food & beverage, on-site, activities, communication, health & safety, and parking.

{% hint style="info" %}
Let’s say you want to check out the **Tickets** Assistant. See total messages and end user data categorized by ticketing intents and click on three ellipses to deep dive to the most interested intent.&#x20;
{% endhint %}

<figure><img src="https://lh5.googleusercontent.com/ax97mnRpCUxNRXk9FBG6CDfvgH-UTQdFmEIkEggAaaOoNnFe1BlLg_YGdDGwul9iPae9ON5B_ZJgOMB6NsWk2I7UXFizNm3OvHJHDcNn2jYbcv_4wWK4qT7mIzKWisiP0T3oN6qA1HvI4W4i7M4n4Tw" alt=""><figcaption></figcaption></figure>

#### Filter by Category

The dashboard allows you to filter by Category, offering flexibility in exploring dimensions across various topics. For example, you can identify which beer brands or ticket types are most interesting to customers, or which policies are frequently asked about, potentially causing confusion.

{% hint style="info" %}
Try the **Ticket Types** Category and see which ticket types are in the most demand across your customers.
{% endhint %}

#### Filter by Action

The new Filter by Action feature allows you to refine your analysis based on specific actions. This enables you to focus on improving customer service by searching for complaint-related actions or identifying revenue-generating intents by filtering for buying actions.&#x20;

You can combine filters to gain insights into customer preferences for specific products or services, such as which tickets, food items, or parking options are in high demand.

<figure><img src="https://lh6.googleusercontent.com/qzDmTs51d6Cn7wZazLZDX1fxjxvmNFumTtWTmLYBc8sN7y0peS_gSXeZq9YvfPmyrlZ0PW3T093v26_FCtK28JQFZLPH1AqWR925vLxBHPHEGk5hrC3zEaUylDFHtHtp9Ad0k3JRPZUcHQH8b8bMQrc" alt="" width="375"><figcaption></figcaption></figure>

{% hint style="info" %}
Try filtering by **Learn About** action. See which topics raise the most interest among your customers. Do they ask about it because they could not find the information on the website? Does this topic need to be clarified? Let your Marketing team work on this to provide more accessible information.
{% endhint %}

#### Additional Filter types

* Filter by Date
* Filter by Channel
* Filter by Language

## Video Explainer

{% embed url="<https://www.loom.com/share/d53e8c97242e4b06a67c5d8dceb569bc>" %}

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