User Experience Analytics data sources for data visualizations

  • Release version: Yokohama
  • Updated January 30, 2025
  • 2 minutes to read
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    Summary of User Experience Analytics data sources for data visualizations

    This topic explains how ServiceNow customers can leverage User Experience Analytics data sources from the Usage Insights application to create meaningful data visualizations. It highlights the types of metrics available, the roles required to access these data sources, and the visualization types supported in the Yokohama release.

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    Key Features

    • Roles Required: Users must have the admin, analyticsadmin, or analyticsviewer role to add Usage Insights data sources to visualizations.
    • Usage Insights Application: Available from the ServiceNow Store, it provides three main data sources for visualizations:
      • Events: Track specific application-triggered events. When selected, you specify the application and event. Bar or Pie/Donut charts allow grouping by event properties to analyze occurrences and value distributions.
      • Sessions: Monitor sessions on applications, categorized by types such as all sessions, new sessions, returning users, loyal users, short/long sessions, or custom conditions defined via a condition builder.
      • Users: Count active unique users with categories like active, new, returning, loyal, never returned, multi-device users, or custom conditions, also configurable through the condition builder.
    • Date Range Specification: Required for all Usage Insights data sources across all visualization types to define the data interval.
    • Supported Visualization Types:
      • Events: Supported by Pie/Donut, Bar, Time series, and Score visualizations, with grouping options on event properties in Bar and Pie/Donut charts.
      • Sessions and Users: Supported in Time series and Score (Single Score) visualizations only, with filtering options based on defined conditions.
    • Unsupported Visualization Types for Usage Insights: Calendar, Geomap, Heatmap, Pivot table, Simple List, Indicator, and Scorecard do not support these data sources.

    Practical Application

    ServiceNow customers can use these Usage Insights data sources to create tailored visualizations that reveal detailed user behavior and application usage patterns. This enables better decision-making by understanding event occurrences, session dynamics, and user engagement at granular levels. Conditions and categories facilitate customization to meet specific analytic needs.

    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 application, available in the ServiceNow® Store, provides several data sources.

    Events
    This data source tracks the events that are triggered on the application. When you select Events as the 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 data source tracks the number of sessions triggered on an application.

    When you select this 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.

    • 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 data source on a visualization, you must also 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.

    • 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 five or more sessions.
    • Never Returned Users: Users who have created only one session.
    • Multi Device Users: Users who have created a session with more than one 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
    • Pivot table
    • Simple List
    • Indicator Scorecard
    The following data visualizations only support Events.
    • 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. Responses can also be 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. Responses can also be filtered by conditions.