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Freshdesk Overdue Tickets by Company

The Overdue Tickets by Company metric provides a count of tickets that are past their due date and grouped by company. It helps identify companies that may need additional attention and support to ensure timely resolution of their issues.

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Overdue Tickets by Company 2.190,879 Start tracking this metric
  • About
  • Tech details
What is "Overdue Tickets by Company"?
The Overdue Tickets by Company metric in Freshdesk shows the total number of tickets that have not been resolved and are past their due dates, grouped by the company they belong to. It helps support teams identify which companies are experiencing the most delays in ticket resolution, enabling them to prioritize and address the most critical issues in a timely manner.
Example: A telecom company has a high number of overdue tickets from their large enterprise clients, indicating potential dissatisfaction or unresolved issues that require attention.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track Overdue Tickets by Company in Databox?

Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.

To track Overdue Tickets by Company using Databox, follow these steps:

  1. 1
    Connect Freshdesk that contains the metric you want to track
  2. 2
    Select the metric you want to track from the list of available metrics
  3. 3
    Drag and drop the selected metric onto your dashboard
  4. 4
    Watch your dashboard populate in seconds
  5. 5
    Put Overdue Tickets by Company on the Performance screen
  6. 6
    Get Overdue Tickets by Company performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Overdue Tickets by Company
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Basics

  • Description
    The Overdue Tickets by Company metric provides a count of tickets that are past their due date and grouped by company. It helps identify companies that may need additional attention and support to ensure timely resolution of their issues.
  • Category
    Help Desk
  • Subcategory
    Tickets
  • Cumulative Support
    No
  • Units
    No
  • Granularities
    daily, weekly, monthly, quarterly, yearly, allTime
  • Favorable Trend
    decreasing
  • Historical Data
    No
  • Changing historical data
    No
  • Forecast Support
    Yes
  • Benchmark Support
    No
  • Media Support
    No
  • Dimension
    Yes
  • Metric Type
    current Learn more
  • API Endpoint
    https://{domain}/api/v2/tickets

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