Unassigned Tickets by Priority metric shows the number of tickets that are yet to be assigned to an agent, grouped by their priority levels. This provides a quick overview of pending high-priority tickets that require immediate attention.
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 Priority using Databox, follow these steps:
The Created Tickets by Company metric in Freshdesk displays the total number of tickets created by each company over a specific period, allowing you to track ticket volume for each company and assess their support needs.
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 Billable Hours by Ticket metric measures the amount of time spent on a ticket that can be charged to the customer or client, providing insights into the profitability of customer support operations.
The Open Tickets metric refers to the number of customer support tickets that have not yet been resolved or closed by the support team.
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 On Hold Tickets by Company metric tracks the number of open support tickets that are currently on hold for each company in your Freshdesk account.
The Overdue Tickets by Association Type metric displays the number of tickets that are past their due date, organized by the type of association with your organization (e.g. company, contact, agent).
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.