The Closed Tickets metric refers to the total number of support tickets that have been resolved and marked as closed within a specific time period in Freshdesk.
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 Closed Tickets 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.
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.
Unresolved Tickets by Source shows the number of tickets that haven't been resolved yet, categorized by the channel (e.g. email, phone, chat) they came from.
On Hold Tickets metric represents the number of tickets that have been put on hold by agents or customers and are awaiting further action or information.
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 Company metric provides a count of tickets that are past their due date and grouped by company. It helps identify companies that may need additional attention and support to ensure timely resolution of their issues.
The Companies metric in Freshdesk is a count of the total number of unique companies (organizations) that have been created and interacted with in the helpdesk, including tickets, contacts, and other activities.
The Companies by Health Score metric in Freshdesk measures the overall health of a company's support interactions, ranging from excellent to poor, based on factors such as response times, resolution rates, and customer satisfaction.