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 Created Tickets by Status metric displays the number of tickets that have been created in each status category (open, pending, resolved, closed) within a specified time frame.
The Hours Tracked by Ticket metric in Freshdesk tracks the amount of time spent by agents on a particular ticket, providing insight into agent productivity and ticket resolution times.
The Unresolved Tickets by Association Type metric indicates the number of tickets that are yet to be resolved based on their association with a certain customer or product.
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.
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.
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.
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.