The Closed Tickets by Type metric provides the number of tickets of each type that have been resolved or closed within a given time frame, allowing for easy monitoring of ticket trends and response times.
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 Type 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.
The Hours Tracked metric in Freshdesk measures the time spent by agents on each ticket, providing insights into productivity, customer satisfaction, and performance evaluation.
Billable Hours is a measure of the amount of time spent by an agent working on customer issues that can be charged to the customer. It helps assess the productivity and profitability of the support team while ensuring accurate billing and revenue recognition.
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.
Closed Tickets by Tag is a report that shows the number of tickets that have been closed within a specific time period based on the tags assigned to them. It helps measure the efficiency of the support team in resolving issues related to different categories of the tickets.
This metric shows the number of tickets that are currently put on hold classified by their type/category in your Freshdesk account.
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.