Understand your Scheduled Jobs dashboard

  • Release version: Australia
  • Updated March 12, 2026
  • 3 minutes to read
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    Summary of Understand your Scheduled Jobs dashboard

    The Scheduled Jobs dashboard provides key health metrics and insights about scheduled jobs in ServiceNow. Navigate toAll > System Diagnostics > Scheduled Jobs Dashboardto access this feature, which helps you monitor job statuses and performance over time.

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    Key Features

    • Stuck Jobs: Displays jobs pinned to non-existent nodes, often due to cloning instances. Actions include deleting or recovering jobs to allow them to run again.
    • Permanent Error Jobs: Shows jobs in a Permanent Error state, typically after an upgrade. You can manually set jobs to this state or recover them to reset their status to Ready.
    • Pending Jobs: Lists jobs scheduled for imminent execution.
    • Running Jobs: Displays jobs currently in execution.
    • Jobs Classification: Allows optional grouping of jobs based on defined criteria for job history analysis.
    • Total Execution Count: Graphical representation of job executions over the last 24 hours, viewable for up to 7 days.
    • Average Job Wait Time: Displays the average wait time of scheduled jobs in milliseconds for the last 24 hours, also viewable for up to 7 days.
    • Scheduled Job Trends: Lists completed jobs grouped by classification, providing insights into job performance over time.

    Key Outcomes

    By utilizing the Scheduled Jobs dashboard, ServiceNow customers can effectively monitor job statuses, identify issues with stuck or error jobs, and analyze job performance trends. This enables proactive management of scheduled jobs, ensuring smoother operations and improved efficiency in job processing.

    Visit scheduler dashboard to learn about key health metrics and insights of scheduled jobs.

    Navigate to All > System Diagnostics > Scheduled Jobs Dashboard.

    Scheduled jobs dashboard.

    The following cards show up on the dashboard
    Field Description

    Stuck Jobs

    The scheduled jobs that are pinned to a non-existent node show up here. If a scheduled job is assigned to run on a non-existent node and is a parent job that doesn't have Startup as the Trigger Type, it is classified under Stuck Jobs. The System ID column states the node that the job was assigned to run. One of the reasons of a job being classified as Stuck Jobs is if an instance was cloned from another instance and now there are jobs pinned to run on the old instance's nodes. You can take the following actions on the stuck jobs:
    • You can delete it to remove the job from sys_trigger permanently.
    • You can recover these jobs which clears theSystem ID column data and allows it to run again based on its Next Action time.

    Permanent Error Jobs

    The scheduled jobs which have a State of Permanent Error show up here. If you have upgraded from a pre-Utah version to a more recent version, a fix script is executed and it sets the scheduled jobs to Permanent Error state if the job was a parent job or a standalone job and picked up to run on a specific node that no longer exists. You can also set the job state to Permanent Error manually. You can take the following actions on the permanent error jobs:
    • You can delete it to remove the job from sys_trigger permanently.
    • You can recover these jobs which set the state back to Ready. It can again run based on its Next Action time.
    Pending Jobs Jobs that are to be executed soon.
    Running Jobs Jobs that are actively running.
    Jobs Classification (optional) Optional way to group certain jobs based on filter conditions to collect job completion history by the defined group/classification. You can set up these classifications in the Job Classification Rules table. The default classification is TriggerType.JobName.

    Total Execution Count

    Graphical representation of the total number of scheduled job executions on your instance over a period of time. The default time period is last 24 hours. You can view the data only from last 7 days. The data originate from the sys_scheduler_job_history table.
    Note:
    When you click on an execution count in the graph, the Scheduled Job History list shows up. The list of jobs have been grouped using Jobs Classification concept with Trigger Type as either Run Once or Recurring.
    Average job wait time Graphical representation of the average wait time in milliseconds of all scheduled jobs on your instance over a period of time. The default time period is last 24 hours. You can view the data only from last 7 days. The data originates from the sys_scheduler_job_history table.
    Note:
    When you click on a wait time average data in the graph, the Scheduled Job History list shows up. The list of jobs have been grouped using Jobs Classification concept with Trigger Type as either Run Once or Recurring.

    Scheduled Job Trends

    List of completed jobs grouped by Job Classification concept. The default time period is last 24 hours. You can view the data only from last 7 days. The data originate from the sys_scheduler_job_history table.

    Note:
    For both Stuck Jobs and Permanent Error Jobs tiles, the data and columns originate from the sys_trigger table. Both the tiles are used to cleanup jobs and keep the scheduled jobs in a positive state. Select the required tile to see the list view of the jobs. The Wait time column on both the lists refers to how late the job is based on the time it was supposed to run. If Next Action is in the past, the wait time is calculated as the current time minus the next action time. For example, if the job was scheduled to run two minutes ago, then the wait time is two minutes. If the job is scheduled to run in the future, then the wait time is 0.

    Scheduled Job Trends

    This table provides details on the history of completed jobs by classifications. Default view provides the data for last 24 hours.

    Field Description
    Job Classification Provides a way of grouping similar type of jobs based on job name, trigger type (recurring, run once, etc.).

    Priority

    Priority at which the jobs are processed.
    Note:
    The lower the number, the higher is the priority. For example, priority of 10 is higher than 100.
    Execution Count Number of times the job has been executed within a timeframe.
    Average Processing Time(s) Average time needed to process the jobs.
    Total Processing Time(s) Total time needed to process the jobs.