# Overview

As the name already suggests, this section presents a summary overview of the virtual agent. Once it is published, you’ll be able to easily analyze its data.

![Full Dashboard Overview page](/files/6AJeg29IzGjCjublMKNA)

{% hint style="info" %}
**Due to retention policies, only data from the past month will be shown in all analytics modules. In case you require longer data storage, consult the analytics prices.**
{% endhint %}

### **Metrics**

See in the following table the description of the most important KPIs and graphics available so far:

<table data-header-hidden><thead><tr><th width="239"></th><th></th></tr></thead><tbody><tr><td><strong>GRAPHIC</strong></td><td><strong>DESCRIPTION</strong></td></tr><tr><td><strong>Total conversations</strong></td><td>The number of sessions between the virtual agent and the user in a time frame. For this KPI, it will be displayed the total number, its percentage change when compared with a previous period and how it oscillates by hour, day, week, or month in every channel.</td></tr><tr><td><strong>Total messages</strong></td><td>Shows the messages sent by users during conversations on a time frame. For this KPI, it will be displayed the total number, its percentage change when compared with a previous period and a graphic with a variation of messages by hour, day, week, or month.</td></tr><tr><td><strong>Total of users</strong></td><td>The number of users (new and returning) who started a new session. For this KPI, it will be displayed the total number, its percentage change when compared with a previous period and a graphic with a variation of messages by hour, day, week, or month.</td></tr><tr><td><strong>Accuracy percentage</strong></td><td>Shows how many users inputs were recognized and correctly answered by the NLP during conversations on a time frame and its percentage change when compared with a previous period</td></tr><tr><td><strong>Top 10 intents</strong></td><td>The ten most used intents and its occurrences by channel</td></tr><tr><td><strong>Top 10 flows</strong></td><td>The ten most executed User Journey flows and its occurrences by channel. This metric does not include the other flows for Welcome, Not expected and Jump.</td></tr></tbody></table>

{% hint style="warning" %}
**Important!** To access the information for total of users, you'll need to send a [**business key**](https://docs.eva.bot/user-guide/for-technicians/api-guidelines/creating-channels-the-conversation-api#request-headers)**.** If you don't have a business key, it'll be used the session code by default, in that way, each conversation will be a different user.
{% endhint %}

The **total conversations**, **total messages** and **total of users** will also be shown as a line chart. When hovering the lines, you can see more details like the number of conversations in each channel.

The metrics for the top 10 (**intent** and **flows**) will also be shown as bar charts. By hovering over the bars, you’ll see the specifics, such as their occurrences by channel and the total executions during the period.

![Details in lines chart](/files/Y3QwIQ3A7G2eL98aKZVo) ![Details in bars chart](/files/SjraKIvHD9aGgwKN1kgF)

### Custom charts

You can customize the Dashboard data visualization based on some filter criteria.&#x20;

#### By period

By default, when you access the Overview section, the charts will display the data for “this month”, i.e., the current month. That means if you access the dashboard on June 5, the filter “this month” will resume data from June 1-4.

If you want to change this setting, click on the “Filter by period” option on the top bar. Browse the calendar and select any date or date range within the last 12 months.

![](/files/1637WFageiXxe71hdUVn)

You can also dig deeper using the built-in quick-filters available on some line charts. These buttons enable you to switch the graph view between different time intervals: hour, day, week, and month.

![](/files/fT4x2EaJgWbHS5IAzNcb)

{% hint style="info" %}
Depending on the period you have filtered, there might not be enough data to show when you click one of the quick-filter options.
{% endhint %}

It also displays a percentage change relative to the previous period. For instance, if you select September as your filter, the percentage change will be calculated based on the data from August.

![In this example, the accuracy level doubled compared with the previous period. ](/files/gmQV48GYarLSy7QVoboZ)

{% hint style="success" %}

* The data displayed in the Overview charts follow the master filters (by time period or channel). You can change them at any time on the header.
* The data will be updated daily at noon (local time).
  {% endhint %}

#### By channel&#x20;

Where the user sent the message to the virtual agent. The column displays the channel type and name.

#### By tags

You can also easily filter your data based on the tags used in Dialog Manager flows and cells refine your analysis, providing a more accurate view of specific scenarios and allowing you to focus on the insights you need.&#x20;

<figure><img src="/files/zWX8QIUjh6yIBrhBxbd2" alt=""><figcaption><p>The 10 most used tags will appear on the dropdpwn. Type to search the tags you want to apply on your Dashboard analysis.</p></figcaption></figure>

### Export reports

You can export the data to a PDF file by clicking the Export option in the top right corner of the page.

Once you click the option, it’ll start downloading a summary report with the current filters on (period and channels).

{% hint style="info" %}
The PDF file will be exported following the selected period on the header, with a maximum 3 months free extraction limit (Depending  on the analytics plan purchased).
{% endhint %}


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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-conversational-ai.syntphony.com/analytics-and-insights/dashboards/overview.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.
