The Overdue Tickets by Source metric shows the number of tickets that have not been resolved by their due date, grouped by the channel they were received from.
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 Overdue Tickets by Source using Databox, follow these steps:
The Hours Tracked metric in Freshdesk measures the time spent by agents on each ticket, providing insights into productivity, customer satisfaction, and performance evaluation.
Billable Hours is a measure of the amount of time spent by an agent working on customer issues that can be charged to the customer. It helps assess the productivity and profitability of the support team while ensuring accurate billing and revenue recognition.
Non-billable hours metric is a measure of the time spent by employees on non-billable activities such as training, meetings, admin work, etc. It helps organizations track productivity and efficiency.
Non-Billable Tracked by Company is a metric that measures the amount of time spent by company employees on tasks that are not directly billable to clients or customers. It helps businesses understand how much non-revenue generating work is being done by staff.
The Open Tickets metric refers to the number of customer support tickets that have not yet been resolved or closed by the support team.
Unresolved Tickets metric represents the number of support queries that are yet to be resolved by the customer support team in Freshdesk.
The Companies by Industry metric in Freshdesk provides a breakdown of the number of companies associated with each industry segment, helping businesses identify trends and opportunities for improved customer support.
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.