This metric shows the number of resolved support tickets based on the channel through which they were received, such as email, phone, chat, or web portal.
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 Closed Tickets by Source using Databox, follow these steps:
The Pending Tickets metric represents the number of support tickets that are awaiting action or response from agents or customers. It is a key indicator of workload and efficiency in customer support operations.
Pending Tickets by Tag is a metric that displays the number of tickets with a specific tag that are currently pending and awaiting action or resolution in Freshdesk.
The Resolved Tickets by Company metric in Freshdesk shows the number of tickets resolved by each company, providing a measure of customer satisfaction and support team performance for individual companies.
The Resolved Tickets by Source metric shows the number of support tickets that have been resolved within a specific time frame, grouped by the source from which they originated (e.g. email, phone, chat, social media).
The Closed Tickets metric refers to the total number of support tickets that have been resolved and marked as closed within a specific time period in Freshdesk.
This metric measures the number of tickets with a specific tag that have been put on hold by agents and are awaiting further action or resolution in Freshdesk.
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.
Unassigned Tickets by Priority metric shows the number of tickets that are yet to be assigned to an agent, grouped by their priority levels. This provides a quick overview of pending high-priority tickets that require immediate attention.