The Created Tickets by Type metric shows the number of new tickets generated in each category or type in a given period, providing insights into the nature of customer issues and allowing for targeted support.
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 Type using Databox, follow these steps:
The Hours Tracked metric in Freshdesk measures the time spent by agents on each ticket, providing insights into productivity, customer satisfaction, and performance evaluation.
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.
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.
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 Type metric measures the number of resolved tickets grouped by their respective types in Freshdesk. This provides insights into the types of issues that your support team is resolving effectively.
This metric measures the number of tickets that are currently on hold based on the type of association, such as customer or product.
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.
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.