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.
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 Type using Databox, follow these steps:
The Pending Tickets by Association Type metric tracks the number of unresolved tickets in Freshdesk based on the type of association they have (such as a customer, contact, organization, or group).
Resolved Tickets is a measure of the total number of support tickets that have been successfully resolved and closed within a defined period of time.
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.
The On Hold Tickets by Company metric tracks the number of open support tickets that are currently on hold for each company in your Freshdesk account.
This metric shows the number of tickets that have missed their due date, segmented by priority level (low, medium, high, urgent).
The Overdue Tickets by Association Type metric displays the number of tickets that are past their due date, organized by the type of association with your organization (e.g. company, contact, agent).
The Unassigned Tickets by Tag metric displays the number of unassigned tickets that have specific tags associated with them. This provides a quick overview of which tags have the most unassigned tickets, allowing prioritization of ticket allocation to agents.
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.