The Hours Tracked metric in Freshdesk measures the time spent by agents on each ticket, providing insights into productivity, customer satisfaction, and performance evaluation.
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 Hours Tracked 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 Priority metric displays the total number of support tickets created in Freshdesk based on their priority levels (low, medium, high, urgent).
Non-Billable Tracked by Ticket is a metric used by Freshdesk to measure time spent by agents on activities that are not billable to clients/customers, such as internal consultations or training.
The Open Tickets metric refers to the number of customer support tickets that have not yet been resolved or closed by the support team.
Pending Tickets by Tag is a metric that displays the number of tickets with a specific tag that are currently pending and awaiting action or resolution in Freshdesk.
This metric shows the number of resolved support tickets based on the channel through which they were received, such as email, phone, chat, or web portal.
On Hold Tickets by Priority is a support metric that measures the number of tickets on hold for each priority level, indicating the urgency and workload of the support team.
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.