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).
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 Overdue Tickets by Association Type using Databox, follow these steps:
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.
Unresolved Tickets by Source shows the number of tickets that haven't been resolved yet, categorized by the channel (e.g. email, phone, chat) they came from.
Resolved Tickets is a measure of the total number of support tickets that have been successfully resolved and closed within a defined period of time.
The Resolved Tickets by Company metric in Freshdesk shows the number of tickets resolved by each company, providing a measure of customer satisfaction and support team performance for individual companies.
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.
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.
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.
Contacts metric in Freshdesk tracks the number of unique individuals who have contacted your support team through various channels like email, phone, chat, or social media. It helps to measure the volume of customer interactions and improve support processes.