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.
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 Non-Billable Hours 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.
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.
Unresolved Tickets metric represents the number of support queries that are yet to be resolved by the customer support team in Freshdesk.
The Unresolved Tickets by Priority metric shows the number of tickets that are currently open and have not been resolved, categorized by their priority level. It provides a quick overview of the support team's workload and helps identify areas that may require attention.
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 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.
This metric shows the number of tickets that are currently put on hold classified by their type/category in your Freshdesk account.
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.
This metric shows the number of tickets that have missed their due date, segmented by priority level (low, medium, high, urgent).