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.
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 Unresolved Tickets by Priority using Databox, follow these steps:
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).
Billable Hours is a measure of the amount of time spent by an agent working on customer issues that can be charged to the customer. It helps assess the productivity and profitability of the support team while ensuring accurate billing and revenue recognition.
The Open Tickets by Tag metric provides an overview of all currently open tickets that are categorized with specific tags in Freshdesk.
The Open Tickets by Type metric shows the number of unresolved tickets organized by the categories or types assigned to them, providing insights into common or recurring issues.
The Closed Tickets by Type metric provides the number of tickets of each type that have been resolved or closed within a given time frame, allowing for easy monitoring of ticket trends and response times.
The Overdue Tickets metric measures the number of tickets that have surpassed their due date and have not been resolved or closed.
The Companies metric in Freshdesk is a count of the total number of unique companies (organizations) that have been created and interacted with in the helpdesk, including tickets, contacts, and other activities.
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.