User Experience Analytics data sources for visualizations

  • Release version: Xanadu
  • Updated August 1, 2024
  • 3 minutes to read
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    Summary of User Experience Analytics data sources for visualizations

    ServiceNow customers can leverage User Experience Analytics (UXA) data sources to create insightful visualizations that track application usage and user behavior. These data sources enable you to monitor key performance indicators (KPIs) such as events, sessions, and users within your applications, helping you understand user engagement and application performance.

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    To add UXA data sources to visualizations, users must have the admin, analyticsadmin, or analyticsviewer roles. The User Experience Analytics PAR Integration application from the ServiceNow Store provides several predefined KPIs for use as data sources.

    Key Features

    • Events KPI: Tracks specific events triggered on an application. When used in bar or pie/donut charts, you can group data by event properties to analyze occurrences and value distributions.
    • Sessions KPI: Tracks the number and types of sessions on an application, such as new, returning, loyal, short, long, or custom-defined sessions based on conditions. Filters support up to 90 days of data.
    • Users KPI: Tracks unique active users and categorizes them as active, new, returning, loyal, never returned, multi-device, or custom-defined. Filters also support only 90 days of data.
    • Condition Builder: Allows creation and editing of custom conditions for filtering sessions and users, applicable in Single Score visualizations.
    • Visualization Support:
      • Supported: Time series and score visualizations support all UXA data sources. Bar, pie/donut, and pivot tables support events with grouping by event properties.
      • Not Supported: Calendar, geomap, heatmap, simple list, indicator, and scorecard visualizations do not support UXA data sources.
      • Events Only: Pivot tables, pie/donut, and bar charts can only use Events KPI.
    • Date Range Requirement: You must always specify the date range when using UXA data sources in visualizations.

    Practical Application

    By integrating UXA KPIs into your dashboards, you can gain real-time insights into how users interact with your applications, identify trends in session length and frequency, and track user loyalty or device usage patterns. This information supports data-driven decisions to improve user experience and application performance.

    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, 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 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
    The following data visualizations only support Events.
    • Pivot table
    • Pie/Donut
    • Bar

    Time series and score data visualizations support all User Experience Analytics 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.