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.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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:
Non-billable hours metric is a measure of the time spent by employees on non-billable activities such as training, meetings, admin work, etc. It helps organizations track productivity and efficiency.
Pending Tickets by Tag is a metric that displays the number of tickets with a specific tag that are currently pending and awaiting action or resolution in Freshdesk.
The Pending Tickets by Priority metric displays the number of tickets waiting for a response based on their priority level.
Closed Tickets by Tag is a report that shows the number of tickets that have been closed within a specific time period based on the tags assigned to them. It helps measure the efficiency of the support team in resolving issues related to different categories of the tickets.
The On Hold Tickets by Source metric tracks the number of tickets currently on hold, categorized by the channel from which they originated.
Overdue Tickets by Tag metric shows the number of tickets that have not been resolved within their due date categorized by their respective tags.
The Unassigned Tickets by Tag metric displays the number of unassigned tickets that have specific tags associated with them. This provides a quick overview of which tags have the most unassigned tickets, allowing prioritization of ticket allocation to agents.
The Companies by Industry metric in Freshdesk provides a breakdown of the number of companies associated with each industry segment, helping businesses identify trends and opportunities for improved customer support.