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Freshdesk Overdue Tickets by Tag

Overdue Tickets by Tag metric shows the number of tickets that have not been resolved within their due date categorized by their respective tags.

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Overdue Tickets by Tag 2.190,879 Start tracking this metric
  • About
  • Tech details
What is "Overdue Tickets by Tag"?
The Overdue Tickets by Tag metric in Freshdesk is a measure of the number of open tickets that have exceeded their due date, categorized by a specific tag. It helps identify areas of high ticket volume and prioritize follow-up actions based on the urgency of the situation. With this metric, teams can focus on addressing critical issues first, ensuring timely resolution and better customer satisfaction.
Example: Example: A manager can use the Overdue Tickets by Tag metric to identify the most frequent types of overdue tickets and prioritize resolving them to improve customer satisfaction.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

How to track Overdue Tickets by Tag 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 Tag 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 Tag on the Performance screen
  6. 6
    Get Overdue Tickets by Tag performance daily with Scorecards or as a weekly digest
  7. 7
    Set Goals to track and improve performance of Overdue Tickets by Tag
Freshdesk integration with Databox Track Overdue Tickets by Tag from Freshdesk in Databox GET STARTED

Basics

  • Description
    Overdue Tickets by Tag metric shows the number of tickets that have not been resolved within their due date categorized by their respective tags.
  • 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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