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.
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 Unresolved Tickets by Tag using Databox, follow these steps:
The Open Tickets by Type metric shows the number of unresolved tickets organized by the categories or types assigned to them, providing insights into common or recurring issues.
The Pending Tickets metric represents the number of support tickets that are awaiting action or response from agents or customers. It is a key indicator of workload and efficiency in customer support operations.
The Pending Tickets by Association Type metric tracks the number of unresolved tickets in Freshdesk based on the type of association they have (such as a customer, contact, organization, or group).
The Closed Tickets metric refers to the total number of support tickets that have been resolved and marked as closed within a specific time period in Freshdesk.
On Hold Tickets metric represents the number of tickets that have been put on hold by agents or customers and are awaiting further action or information.
The Unassigned Tickets metric shows the number of tickets that have not yet been assigned to an agent or group.
The Companies by Account Tier metric categorizes your customer base into different tiers based on their value or engagement level, helping you identify high-value customers and prioritize your efforts accordingly.
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.