User Experience Analytics data sources for visualizations

  • Release version: Washingtondc
  • Updated February 1, 2024
  • 3 minutes to read
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    Summary of User Experience Analytics Data Sources for Visualizations

    User Experience Analytics enables ServiceNow customers to visualize key metrics related to user engagement and application performance. By utilizing data visualization components, users can analyze metrics derived from User Experience Analytics KPIs. Access to these visualizations requires specific roles: admin, analyticsadmin, or analyticsviewer.

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    Key Features

    • Events: Tracks triggered events in the application. Users can visualize occurrences and distributions of event properties using Bar or Pie/Donut visualizations.
    • Sessions: Monitors sessions initiated on an application. Key metrics include All Sessions, New Sessions, Returning Users, and Loyal Users, with visualizations supporting time series and specific conditions.
    • Users: Reflects the unique active users of the application. Metrics include Active Users, New Users, and Multi Device Users, with conditions customizable for visualizations.
    • Date Range Specification: A date range must be specified for all data sources in visualizations.

    Key Outcomes

    ServiceNow customers can leverage User Experience Analytics to gain insights into user interaction with applications, optimize business processes, and improve user engagement. However, it is important to note that certain visualization types, such as Calendar and Heatmap, do not support User Experience Analytics data sources. Supported types include Time series, Bar, Pie/Donut, and Pivot tables.

    You can show metrics related to Usage Insights 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 Usage Insights data sources to a visualization.

    The Usage Insights PAR Integration application, available in the ServiceNow® Store, 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.
    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.
    Important:
    You must specify the date range for all Usage Insights data sources on all visualization types.
    The following data visualizations do not support Usage Insights data sources:
    • Calendar
    • Geomap
    • Heatmap
    • Simple List
    • Indicator Scorecard
    The following data visualizations only support Events.
    • Pivot table
    • Pie/Donut
    • Bar

    Time series and score data visualizations support all Usage Insights data sources.

    Table 1. User Experience Analytics data sources
    Metric Supported visualization type Group by Response
    Events
    • Scores (Single score, dial, gauge)
    • Time series
    • Bars, including Pareto
    • Pies and donuts
    • Pivot tables

    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

    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

    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.