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.
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 Unassigned Tickets by Source 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).
The Billable Hours by Company metric is a measurement of the total hours worked on billable tasks per company. It indicates the revenue generated by each company and helps in evaluating profitability and resource allocation.
The Unresolved Tickets by Tag metric shows the number of open support tickets categorized by tags that have not been resolved by agents in Freshdesk. This helps teams identify which ticket categories require immediate attention and follow-up.
Resolved Tickets by Priority metric categorizes the resolved tickets based on their priority and shows their count, helping in monitoring and improving the resolution times of high-priority tickets.
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.
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 Company metric in Freshdesk shows the number of unresolved tickets that are yet to be assigned to any agent or team, grouped by the companies they are associated with.
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.