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.
The Created Tickets by Association Type metric displays the number of tickets created based on the association type (e.g., customer, contact, company) within a specific time frame.
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 Resolved Tickets by Company metric in Freshdesk shows the number of tickets resolved by each company, providing a measure of customer satisfaction and support team performance for individual companies.
The Closed Tickets by Company metric shows how many tickets were resolved for each company in a specific time frame.
This metric shows the number of closed tickets grouped by their association type (e.g. requester, company, contact, etc.) in order to analyze support trends and performance.
Overdue Tickets by Type metric gives the number of unresolved tickets past their due date, categorized by ticket type.
Unassigned Tickets by Type metric displays the total number of tickets that have not yet been assigned to any agent, categorized by their respective ticket types.
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.