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.
Created Tickets by Source tracks the origin channel (email, phone, chat, social media) for new support tickets created in Freshdesk.
The Pending Tickets by Company metric shows the number of unresolved tickets for each company in a customer support system. This helps track the workload and prioritize tasks.
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.
This metric measures the number of tickets with a specific tag that have been put on hold by agents and are awaiting further action or resolution in Freshdesk.
The On Hold Tickets by Source metric tracks the number of tickets currently on hold, categorized by the channel from which they originated.
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 metric shows the number of tickets that have not yet been assigned to an agent or group.
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.