Self-Service Analytics concepts

  • Release version: Australia
  • Updated March 12, 2026
  • 4 minutes to read
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    Summary of Self-Service Analytics concepts

    The Self-Service Analytics framework in ServiceNow enables you to quantify the effectiveness of your self-service channels by measuring case deflections. A case deflection occurs when a user’s issue is resolved through self-service options—such as Knowledge Base, Communities, Catalog, or Virtual Agent—thereby preventing the creation of a new case. This framework supports the Self-Service Analytics dashboard for customer service and can be extended to other applications leveraging the Subscriptions and Activity Feed Framework.

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    Key Features

    • Activity Patterns: Defined combinations of user activity elements and groups (expressed via regular expressions) linked to specific deflection outcomes. They characterize user interactions associated with deflections.
    • Deflection Outcomes: Three possible results of activity patterns:
      • Confirmed deflection: Self-service content definitively prevented case creation.
      • Potential deflection: Self-service content was viewed and no case was created, but causality is unclear.
      • No deflection: A case was created despite self-service content being accessed.
    • Pattern Elements and Groups: Building blocks of activity patterns, representing user actions and logical combinations of these actions with occurrence rules (e.g., once, optionally many).
    • Activity Context and Groups: Logical collections of activity types (e.g., Catalog, Knowledge, Communities) performed by users such as consumers or customer contacts.
    • Deflection Configuration: Defines the time window for tracking case creation following self-service interactions, enabling differentiation between deflection outcomes based on whether and when a case is created.
    • Deflection Metrics: Data storage of matched pattern outcomes captured by scheduled jobs, facilitating reporting and analysis.
    • Deflection Patterns: Associations between deflection configurations and activity patterns, implemented as tables to manage deflection tracking.

    Practical Application for ServiceNow Customers

    By configuring Self-Service Analytics components, you can:

    • Monitor and improve the effectiveness of your self-service channels by understanding how often user issues are resolved without case creation.
    • Customize activity patterns and deflection windows to align with your organizational workflows and user behaviors.
    • Leverage prebuilt configurations for consumers and customer contacts or adapt them to other user entities in your environment.
    • Use collected deflection metrics to gain insights into self-service performance, enabling data-driven decisions to enhance customer experience and reduce case volume.

    Overall, this framework helps optimize self-service strategies by providing clear visibility into user engagement and case deflection outcomes.

    You can quantify your self-service effectiveness by measuring case deflections.

    The Self-Service Analytics framework enables you to measure case deflection by defining user activity patterns for a deflection outcome. A case deflection is when you are able to provide a resolution using one of the self-service channels, such as Knowledge, Communities, Catalog, and Virtual Agent, to a user who intended to create a case and as a result, no case is created.

    By default, the Self-Service Analytics framework is used by the Self-Service Analytics dashboard for customer service. The framework can also be used in dashboards of other applications that use the Subscriptions and Activity Feed Framework.

    The system includes predefined configurations for the Self-Service Analytics framework components associated with consumers and customer contacts. You can also configure these components for other user entities.

    Self-service analytics components

    Self-service analytics is based on the activity pattern associated with a deflection outcome. It consists of the following main components:

    Activity pattern components

    Activity pattern
    A combination of pattern element, pattern element group, or both for a user entity such as consumers or customer contacts that is linked to an outcome. Each pattern element or pattern element group is implemented as regular expressions.

    Example: The activity pattern Contacts: Case: Confirmed Deflection is a combination of pattern element groups Self-Service: Helpful and Self-service actions: Optionally Many.

    Deflection outcome
    An activity pattern can lead to a deflection outcome. See Deflection outcome components.
    Primary activity
    The final activity that determines the outcome associated with an activity pattern based on whether it happens or not.

    Example: For the primary activity Customer created a case if the system does not find a match (that is a case was not created), the outcome Confirmed deflection is associated with the activity pattern Contacts: Case: Confirmed Deflection.

    Pattern element group
    A logical combination of two pattern elements, pattern element group, or both and how many times the combination occurs. For more information, see Pattern element group components.

    Pattern element group components

    Pattern element group
    A logical combination of two pattern elements, pattern element group, or both and how many times the combination occurs. Each pattern element group is implemented as regular expressions.

    The occurrence of the logical combination result is one of the following types:

    • Once
    • Optionally Once
    • Optionally Many
    • At Least Once
    • Range

    Example 1: In the following table, the Knowledge engagements once pattern element group is true when it occurs only once and either Article viewed once is true or Article marked with positive feedback once is true.

    Table 1. Pattern element group example 1
    Pattern element group First Element Second Element​ Operator Occurrence​
    Knowledge engagements once Article viewed once Article marked with positive feedback once Or Once​

    Example 2: In the following table, the Self-service engagements optionally many pattern group is true when engagements either have not occurred or have occurred multiple times and either the Knowledge or catalog engagements once is true or the Communities or virtual agent engagements once is true.

    Table 2. Pattern element group example 2
    Pattern element group First Element Second Element​ Operator Occurrence​
    Knowledge or catalog engagements once Knowledge engagements once Catalog engagements once Or Once
    Communities or virtual agent engagements once Communities once Virtual agent engagements once Or Once
    Self-service engagements optionally many Knowledge or catalog engagements once Communities or virtual agent engagements once Or Optionally Many
    Pattern element
    Denotes a single activity type and how many times it occurs. Each pattern element is implemented as regular expressions.

    Example: The pattern element Article viewed once denotes that the activity Viewed a knowledge article must occur once.

    Activity type
    An action that a user (consumer or customer contact) performs.

    Example: The activity type Viewed knowledge article occurs when a user views a knowledge article.

    Activity context components

    Activity context
    A collection of activity groups a user might perform such as Catalog, Knowledge, Case, Communities, and Virtual Agent.

    Example: The activity context Contact is a collection of activity groups Catalog, Knowledge, Case, Communities, and Virtual Agent associated with the customer contact.

    Activity group
    A logical grouping of activity types performed on the same object type such as a knowledge article, community answer, or customer service case.

    Example: The activity group Knowledge is a logical grouping of the activities Viewed knowledge article and Marked the article helpful performed on a knowledge article.

    Activity context group
    An activity group that has been added to a context.

    Deflection outcome components

    Deflection outcome
    In the context of deflection, an activity pattern can lead to one of the following three outcomes:
    Confirmed deflection
    The self-service content definitely prevented a case from getting created.
    Potential deflection
    The self-service content was viewed and no case was created, but it's unclear whether the content is the factor that prevented the case from getting created.
    No deflection
    A case was created after the self-service content was viewed.
    Deflection configuration
    Associates a window (duration) with an activity context. The window defines how long a system will wait for a case to be created to match with a deflection pattern.

    Example: To track the create case activity for a consumer within a day, set the window as 1 day.

    • If the consumer created a case within that window, the deflection pattern matched is a No deflection.
    • If the consumer did not create a case within that window, the deflection pattern matched is a Potential deflection.
    • If the consumer did not create a case and the last activity is submitted positive feedback for any self-service channel content within that window, the deflection pattern matched is a Confirmed deflection.
    Deflection metrics
    A transactional table that stores the outcome of matched patterns. By default, the scheduled job for Self-Service Analytics captures data and stores the generated data in the Deflection Metric [ssa_deflection_metric] table.
    Deflection pattern
    Associates deflection configuration with an activity pattern. A deflection pattern is implemented as a table.