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Freshdesk Overdue Tickets by Type

Overdue Tickets by Type metric gives the number of unresolved tickets past their due date, categorized by ticket type.

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Overdue Tickets by Type 2.190,879 Start tracking this metric
  • About
  • Tech details
What is "Overdue Tickets by Type"?
The Overdue Tickets by Type metric shows the number of unresolved or pending tickets that are past their due dates, segmented by their ticket types such as Incidents, Problems, and Service Requests. This metric helps support teams to identify the most pressing issues and prioritize their efforts to improve their ticket resolution time and provide better customer service.
Example: Overdue Tickets by Type metric can help identify the type of tickets that require immediate attention to prevent negative impact on customer satisfaction. For example, if a significant number of billing tickets are overdue, it may be necessary to address billing issues promptly to avoid customer complaints.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

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

Basics

  • Description
    Overdue Tickets by Type metric gives the number of unresolved tickets past their due date, categorized by ticket type.
  • 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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