When to use flows and playbooks

  • Release version: Xanadu
  • Updated August 8, 2024
  • 2 minutes to read
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    Summary of When to use flows and playbooks

    This guidance helps ServiceNow customers decide when to use flows versus playbooks for process automation, based on interaction needs, volume, and complexity.

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    When to Use Flows

    • Automation without manual user interaction: Flows run automatically once triggered and do not provide UI elements for user interactions, making them ideal when minimal or no user input is expected.
    • High-volume execution: Flows can handle hundreds to thousands of executions per second with minimal performance impact due to lower resource consumption and flow reporting being disabled by default.
    • Simple subflow usage: Flows are better suited for scenarios involving few or no subflows, as managing multiple subflows can become complex within the flows interface.

    When to Use Playbooks

    • Manual user interactions required: Playbooks provide built-in UI elements that guide users through tasks such as checklists, feedback gathering, or record updates necessary to advance the process.
    • Low-volume execution: Due to the overhead of generating UI elements and storing detailed execution data, playbooks are better suited for automations with lower execution volumes.
    • Complex subflow management: Playbooks offer a superior user experience for running and managing sequences of multiple subflows.

    Key Takeaways

    Use flows for automated, high-volume, and low-interaction processes to maximize performance and efficiency. Choose playbooks when user guidance and interaction are essential, especially when handling complex sequences of subflows at lower volumes.

    Use these general guidelines to determine when to create a flow or a playbook.

    When to use flows

    Flows, subflows, and actions are the basic building blocks of process automation. Flows run when their trigger conditions are met, and each flow in turn runs a sequence of actions, flow logic, and subflows. The actions, flow logic, and subflows within a flow are what create and update data.

    A flow is a good fit for process automations that met these criteria.
    Expect few to no manual user interactions
    As long as a flow has the input data it needs, it can run to completion without any user interaction. Some flow logic and actions require users to make record changes, but a flow can automatically pause until its wait conditions are met. Process automations that depend on user interactions such as reading a knowledge base article, going through a checklist, and gathering feedback are harder to manage with flows. Flows don't directly provide any UI elements for users to interact with. Flows depend on users knowing how to find an existing UI and making any needed changes. For example, a record-based flow depends on a user making a change in a specific record such as a case or an incident.
    Expect to run at high volumes
    An instance can run hundreds to thousands of flows per second. With flow reporting being disabled by default, an instance can run a high volume of flows before it sees any performance impact. If you expect to run a process automation at high volumes, a flow is a good fit over a playbook because it requires less overhead and system resources.
    Expect to run few to no subflows
    The more subflows a flow calls, the more difficult it becomes to manage from the flows interface. While you can use conditional flow logic or a decision table to choose a subflow to run, playbooks offer a better user experience for running a sequence of subflows.

    When to use playbooks

    Playbooks are built on activities, which use prebuilt flows, subflows, and actions as their building blocks.

    A playbook is a good fit for process automations that met these criteria.
    Expect several manual user interactions
    Playbooks provide UI elements for users to interact with. The playbook experience guides users to make any changes required to advance the playbook.
    Expect to run at low volumes
    Playbooks require more system resources to run because they generate UI elements and store more execution details.
    Expect to run many subflows
    Playbooks offer a better user experience for running a sequence of subflows.