The Overdue Tickets metric measures the number of tickets that have surpassed their due date and have not been resolved or closed.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
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 Overdue Tickets using Databox, follow these steps:
Use this free and customizable Freshdesk Tickets Overview Dashboard Template to track your tickets and hours to ensure you deliver the best customer experience.
The Created Tickets by Type metric shows the number of new tickets generated in each category or type in a given period, providing insights into the nature of customer issues and allowing for targeted support.
The Billable Hours by Ticket metric measures the amount of time spent on a ticket that can be charged to the customer or client, providing insights into the profitability of customer support operations.
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 Tag metric shows the number of tickets that have been resolved, categorized by their respective tags in Freshdesk.
The Closed Tickets by Priority metric tracks the number of resolved tickets based on their level of priority, allowing teams to identify which issues were resolved with the highest level of urgency.
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.