Pending Tickets by Type metric displays the number of open tickets organized by their types that are still awaiting resolution or response from agents.
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 Pending Tickets by Type using Databox, follow these steps:
The Created Tickets by Association Type metric displays the number of tickets created based on the association type (e.g., customer, contact, company) within a specific time frame.
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.
Non-billable hours metric is a measure of the time spent by employees on non-billable activities such as training, meetings, admin work, etc. It helps organizations track productivity and efficiency.
The Unresolved Tickets by Company metric shows the number of support tickets that are still open or pending for each company or organization that has filed a ticket with your Freshdesk account.
The Pending Tickets by Source metric displays all the open support tickets in Freshdesk grouped by the source they are received from, allowing for easy tracking of ticket volume and trends.
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.
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.
The Companies by Account Tier metric categorizes your customer base into different tiers based on their value or engagement level, helping you identify high-value customers and prioritize your efforts accordingly.