Closed Tickets by Tag is a report that shows the number of tickets that have been closed within a specific time period based on the tags assigned to them. It helps measure the efficiency of the support team in resolving issues related to different categories of the tickets.
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 Tag using Databox, follow these steps:
The Open Tickets by Company metric in Freshdesk shows the number of unresolved tickets associated with each company that have not yet been closed or resolved by agents.
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 Tag metric shows the number of tickets that have been resolved, categorized by their respective tags in Freshdesk.
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 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.
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.
Overdue Tickets by Type metric gives the number of unresolved tickets past their due date, categorized by ticket type.
Contacts metric in Freshdesk tracks the number of unique individuals who have contacted your support team through various channels like email, phone, chat, or social media. It helps to measure the volume of customer interactions and improve support processes.