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Freshdesk Billable Hours by Ticket

The Billable Hours by Ticket metric measures the amount of time spent on a ticket that can be charged to the customer or client, providing insights into the profitability of customer support operations.

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Billable Hours by Ticket 2.190,879 Start tracking this metric
  • About
  • Tech details
What is "Billable Hours by Ticket"?
The Billable Hours by Ticket metric calculates the total amount of time spent by agents working on a ticket that can be billed to the customer. This can help organizations track the revenue generated by support tickets and optimize their billing processes.
Example: Example use case of Billable Hours by Ticket: A consulting company uses this metric to track the time spent by their team working on a specific client's project and accurately bill them for the hours worked.

Visualizations

  • Databox visualization

    Bar and Line Chart

    Used to show comparisons between values.

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

Basics

  • Description
    The Billable Hours by Ticket metric measures the amount of time spent on a ticket that can be charged to the customer or client, providing insights into the profitability of customer support operations.
  • Category
    Help Desk
  • Subcategory
    Hours
  • Default Format
    Duration
  • Cumulative Support
    Yes
  • Units
    No
  • Granularities
    daily, weekly, monthly, quarterly, yearly, allTime
  • Favorable Trend
    increasing
  • Historical Data
    Yes
  • Changing historical data
    Yes
  • Forecast Support
    Yes
  • Benchmark Support
    No
  • Media Support
    No
  • Dimension
    Yes
  • Metric Type
  • API Endpoint
    https://{domain}/api/v2/time_entries

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