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.
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 On Hold 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.
The Hours Tracked by Company metric shows the total number of hours logged by all agents in your company for a specific time period, indicating the overall productivity and workload of your team.
The Hours Tracked by Ticket metric in Freshdesk tracks the amount of time spent by agents on a particular ticket, providing insight into agent productivity and ticket resolution times.
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.
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 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.
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.
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.
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.