The Unassigned Tickets by Company metric in Freshdesk shows the number of unresolved tickets that are yet to be assigned to any agent or team, grouped by the companies they are associated with.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 Unassigned Tickets by Company using Databox, follow these steps:
The Open Tickets by Tag metric provides an overview of all currently open tickets that are categorized with specific tags in Freshdesk.
Open Tickets by Association Type metric in Freshdesk reflects the number of tickets that are currently unresolved and categorized by the type of association - Agent, Group, or Product.
The Unresolved Tickets by Tag metric shows the number of open support tickets categorized by tags that have not been resolved by agents in Freshdesk. This helps teams identify which ticket categories require immediate attention and follow-up.
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.
Resolved Tickets is a measure of the total number of support tickets that have been successfully resolved and closed within a defined period of time.
The Unassigned Tickets by Association Type metric helps to track unassigned tickets based on the type of association with a product, category, or other factors in Freshdesk.
The Companies by Industry metric in Freshdesk provides a breakdown of the number of companies associated with each industry segment, helping businesses identify trends and opportunities for improved customer support.
The Contacts by State metric provides a breakdown of the number of contacts in each state or region, allowing businesses to analyze customer distribution and tailor their support accordingly.