Pending Tickets by Type metric displays the number of open tickets organized by their types that are still awaiting resolution or response from agents.
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 Pending Tickets by Type using Databox, follow these steps:
The Created Tickets by Company metric in Freshdesk displays the total number of tickets created by each company over a specific period, allowing you to track ticket volume for each company and assess their support needs.
The Unresolved Tickets by Priority metric shows the number of tickets that are currently open and have not been resolved, categorized by their priority level. It provides a quick overview of the support team's workload and helps identify areas that may require attention.
The Pending Tickets by Source metric displays all the open support tickets in Freshdesk grouped by the source they are received from, allowing for easy tracking of ticket volume and trends.
The On Hold Tickets by Company metric tracks the number of open support tickets that are currently on hold for each company in your Freshdesk account.
This metric shows the number of tickets that are currently put on hold classified by their type/category in your Freshdesk account.
The Overdue Tickets by Source metric shows the number of tickets that have not been resolved by their due date, grouped by the channel they were received from.
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.
Unassigned Tickets by Type metric displays the total number of tickets that have not yet been assigned to any agent, categorized by their respective ticket types.