---
sourceDocument: Xanadu Platform Analytics
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/xanadu/now-intelligence

 Release :

    - xanadu

ft:locale :

    - en-US

ft:publication_title :

    - Xanadu Platform Analytics

ft:clusterId :

    - par

bundleId :

    - par

workflow :

    - Platform


---

# User Experience Analytics data sources for visualizations

# User Experience Analytics data sources for visualizations {#ariaid-title1}

* Release version: Xanadu
* 
* Updated August 1, 2024
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 minutes to read

You can show metrics related to User Experience Analytics in a data
visualization component. The available metrics depend on the visualization type.  
Note:  
Users require the admin, analytics_admin, or analytics_viewer role to add User Experience Analytics data sources to a visualization.

The User Experience Analytics PAR Integration application, available in the
[ServiceNow® Store](https://store.servicenow.com/sn_appstore_store.do#!/store/home), provides several KPIs that you
can use as data sources.  

Events
:   This KPI tracks the events that are triggered on the application. When you select this KPI as a data source on a visualization, you also must select the application and the event. In a Bar or Pie/Donut visualization, use
    the Group by field to select an event property. You can then view the number of occurrences and the values distribution of that single event property.

Sessions

:   This KPI tracks the number of sessions triggered on an application.

    When you select this KPI as a data source on a visualization, you also must select the application and the category. For Single Score visualizations only, you can select a condition as the category. You can add or edit
    conditions in the condition builder. Filters support only 90 days of data.

    * All Sessions: Represents the number of all sessions created on the application.
    * New Sessions: Represents the number of sessions that were created in the most recent time period.
    * Returning Users: Users who have created more than one session.
    * Loyal Users: Users who have created 5 or more sessions.
    * Short sessions: Number of sessions shorter than 20 seconds.
    * Long sessions: Number of sessions longer than 300 seconds.
    * Custom: You define this category by creating at least one condition.
    {#uxa-data-sources__ul_vdx_1lh_h1c}

Users

:   The number of active unique users using the application. When you select this KPI as a data source on a visualization, you also must select the application and the category of user. For Single Score visualizations only, you can select a
    condition as the category. You can add or edit conditions in the condition builder. Filters support only 90 days of data.

    * Active Users: Represents the number of all users in the application.
    * New Users: Represents the number of users who have performed their first session.
    * Returning Users: Users who have created more than one session.
    * Loyal Users: Users who have created 5 or more sessions.
    * Never Returned Users: Users who have created only 1 session.
    * Multi Device Users: Users who have created a session with more than 1 device.
    * Custom: You define this category by creating at least one condition.
{#uxa-data-sources__ul_qjs_mjt_g5b}  
Important:  
You must specify the date range for all User Experience Analytics data sources on all visualization types.  
The following data visualizations do not support User Experience Analytics data sources:

* Calendar
* Geomap
* Heatmap
* Simple List
* Indicator Scorecard
{#uxa-data-sources__ul_z2d_3hh_h1c}  
The following data visualizations only support Events.

* Pivot table
* Pie/Donut
* Bar
{#uxa-data-sources__ul_ish_r13_h1c}

Time series and score data visualizations support all User Experience Analytics data sources.  
{#uxa-data-sources__table_g3k_3sh_h1c__entry__4}{#uxa-data-sources__table_g3k_3sh_h1c__entry__5}{#uxa-data-sources__table_g3k_3sh_h1c__entry__9}{#uxa-data-sources__table_g3k_3sh_h1c__entry__13}

| Metric | Supported visualization type | Group by | Response |
| Events | * Scores (Single score, dial, gauge) * Time series * Bars, including Pareto * Pies and donuts * Pivot tables {#uxa-data-sources__ul_h3k_3sh_h1c} | Bars, Pivot tables, and Pies/donuts: Supported by the event's property Other visualization types: Not supported | Time series: Number of events in the date range Scores: Number of occurrences of the event Bars, Pie/Donut, Pivot: Breakdown of event in date range by property |
| Sessions | * Time series * Scores {#uxa-data-sources__ul_i3k_3sh_h1c} | Not supported | Time series: Number of sessions in the date range Scores: Number of created sessions. Single score also allows responses filtered by conditions. |
| Users | * Time series * Scores {#uxa-data-sources__ul_j3k_3sh_h1c} | Not supported | Time series: Number of active or new users in the date range Scores: Number of active or new users. Single score also allows responses filtered by conditions. |
|-|-|-|-|
[Table 1. User Experience Analytics data sources]

{#uxa-data-sources__table_g3k_3sh_h1c}
**Related concepts**   

* [Indicator management and Performance Analytics](https://servicenow-prod.fluidtopics.net/vX30MA9wil1Shc4OPhtc3g "Indicator data sources are created and managed through the architecture of the Performance Analytics application. This functionality is now part of Platform Analytics administration.")  
**Related reference**   

* [Multiple data sources](https://servicenow-prod.fluidtopics.net/vkp6hdojbWIPOtXBx6fAEA "Some visualization types support multiple data sources, while others do not. If your data visualization supports multiple data sources, the data sources must all be of the same type: all tables, all indicators, or all another type.")