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.
The Pending Tickets metric represents the number of support tickets that are awaiting action or response from agents or customers. It is a key indicator of workload and efficiency in customer support operations.
The Pending Tickets by Association Type metric tracks the number of unresolved tickets in Freshdesk based on the type of association they have (such as a customer, contact, organization, or group).
The Closed Tickets by Company metric shows how many tickets were resolved for each company in a specific time frame.
The Closed Tickets by Priority metric tracks the number of resolved tickets based on their level of priority, allowing teams to identify which issues were resolved with the highest level of urgency.
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.
This metric shows the number of tickets that are currently put on hold classified by their type/category in your Freshdesk account.
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.
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.