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.
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 Resolved Tickets by Association Type using Databox, follow these steps:
The Pending Tickets by Company metric shows the number of unresolved tickets for each company in a customer support system. This helps track the workload and prioritize tasks.
The Pending Tickets by Priority metric displays the number of tickets waiting for a response based on their priority level.
Pending Tickets by Type metric displays the number of open tickets organized by their types that are still awaiting resolution or response from agents.
Closed Tickets by Tag is a report that shows the number of tickets that have been closed within a specific time period based on the tags assigned to them. It helps measure the efficiency of the support team in resolving issues related to different categories of the tickets.
This metric shows the number of closed tickets grouped by their association type (e.g. requester, company, contact, etc.) in order to analyze support trends and performance.
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.
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 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.