The Open Tickets metric refers to the number of customer support tickets that have not yet been resolved or closed by the support team.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
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 Open Tickets using Databox, follow these steps:
Use this free and customizable Freshdesk Tickets Overview Dashboard Template to track your tickets and hours to ensure you deliver the best customer experience.
The Hours Tracked metric in Freshdesk measures the time spent by agents on each ticket, providing insights into productivity, customer satisfaction, and performance evaluation.
The Billable Hours by Company metric is a measurement of the total hours worked on billable tasks per company. It indicates the revenue generated by each company and helps in evaluating profitability and resource allocation.
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 Open Tickets by Tag metric provides an overview of all currently open tickets that are categorized with specific tags in Freshdesk.
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.
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.
Overdue Tickets by Type metric gives the number of unresolved tickets past their due date, categorized by ticket type.
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.