Overdue Tickets by Tag metric shows the number of tickets that have not been resolved within their due date categorized by their respective tags.
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 Tag using Databox, follow these steps:
The Created Tickets by Company metric in Freshdesk displays the total number of tickets created by each company over a specific period, allowing you to track ticket volume for each company and assess their support needs.
Non-Billable Tracked by Ticket is a metric used by Freshdesk to measure time spent by agents on activities that are not billable to clients/customers, such as internal consultations or training.
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 Source metric displays all the open support tickets in Freshdesk grouped by the source they are received from, allowing for easy tracking of ticket volume and trends.
The Overdue Tickets by Company metric provides a count of tickets that are past their due date and grouped by company. It helps identify companies that may need additional attention and support to ensure timely resolution of their issues.
This metric shows the number of tickets that have missed their due date, segmented by priority level (low, medium, high, urgent).
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.