The Created Tickets by Priority metric displays the total number of support tickets created in Freshdesk based on their priority levels (low, medium, high, urgent).
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 Created Tickets by Priority using Databox, follow these steps:
Use this free and customizable Freshdesk Tickets Overview Dashboard Template to track your tickets and hours to ensure you deliver the best customer experience.
Open Tickets by Association Type metric in Freshdesk reflects the number of tickets that are currently unresolved and categorized by the type of association - Agent, Group, or Product.
The Unresolved Tickets by Company metric shows the number of support tickets that are still open or pending for each company or organization that has filed a ticket with your Freshdesk account.
The Unresolved Tickets by Association Type metric indicates the number of tickets that are yet to be resolved based on their association with a certain customer or product.
Pending Tickets by Type metric displays the number of open tickets organized by their types that are still awaiting resolution or response from agents.
The Resolved Tickets by Association Type metric shows the number of tickets resolved and categorized by the association of the requester's organization with the ticket, such as company or product.
On Hold Tickets by Priority is a support metric that measures the number of tickets on hold for each priority level, indicating the urgency and workload of the support team.
The Unassigned Tickets by Source metric shows the total number of tickets that are currently unassigned, categorized by the source from which they were received.
The Companies by Health Score metric in Freshdesk measures the overall health of a company's support interactions, ranging from excellent to poor, based on factors such as response times, resolution rates, and customer satisfaction.