The Pending Tickets by Priority metric displays the number of tickets waiting for a response based on their priority level.
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 Priority 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.
Open Tickets by Priority metric shows the number of tickets that are currently open and categorized by priority level in Freshdesk.
Open Tickets by Association Type metric in Freshdesk reflects the number of tickets that are currently unresolved and categorized by the type of association - Agent, Group, or Product.
The Unresolved Tickets by Tag metric shows the number of open support tickets categorized by tags that have not been resolved by agents in Freshdesk. This helps teams identify which ticket categories require immediate attention and follow-up.
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.
Overdue Tickets by Type metric gives the number of unresolved tickets past their due date, categorized by ticket type.
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.