This metric shows the number of resolved support tickets based on the channel through which they were received, such as email, phone, chat, or web portal.
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 Closed Tickets by Source using Databox, follow these steps:
The Created Tickets by Status metric displays the number of tickets that have been created in each status category (open, pending, resolved, closed) within a specified time frame.
Created Tickets by Source tracks the origin channel (email, phone, chat, social media) for new support tickets created in Freshdesk.
The Unresolved Tickets by Priority metric shows the number of tickets that are currently open and have not been resolved, categorized by their priority level. It provides a quick overview of the support team's workload and helps identify areas that may require attention.
The Unresolved Tickets by Type metric categorizes unresolved support tickets by their type, such as technical, billing, or general inquiries, giving insight into the types of issues customers are facing and allowing for targeted resolution efforts.
The Unresolved Tickets by Association Type metric indicates the number of tickets that are yet to be resolved based on their association with a certain customer or product.
The Overdue Tickets by Source metric shows the number of tickets that have not been resolved by their due date, grouped by the channel they were received from.
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.
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.