The Created Tickets by Priority metric displays the total number of support tickets created in Freshdesk based on their priority levels (low, medium, high, urgent).
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 Created Tickets by Priority 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.
Number of tickets currently open categorized by the source of the customer inquiry. Helps identify areas for improvement in customer support.
Unresolved Tickets metric represents the number of support queries that are yet to be resolved by the customer support team in Freshdesk.
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.
Pending Tickets by Tag is a metric that displays the number of tickets with a specific tag that are currently pending and awaiting action or resolution in Freshdesk.
The Resolved Tickets by Association Type metric shows the number of tickets resolved and categorized by the association of the requester's organization with the ticket, such as company or product.
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.
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.