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 Created Tickets by Tag metric displays the number of tickets created within a specific time frame, categorized based on their associated tags. It helps track the volume of tickets related to each tag, aiding in identifying trends and areas that require attention.
The Created Tickets by Type metric shows the number of new tickets generated in each category or type in a given period, providing insights into the nature of customer issues and allowing for targeted support.
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.
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 Open Tickets by Tag metric provides an overview of all currently open tickets that are categorized with specific tags in Freshdesk.
On Hold Tickets by Priority is a support metric that measures the number of tickets on hold for each priority level, indicating the urgency and workload of the support team.
This metric measures the number of tickets that are currently on hold based on the type of association, such as customer or product.
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.