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.
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 Company using Databox, follow these steps:
The Hours Tracked by Company metric shows the total number of hours logged by all agents in your company for a specific time period, indicating the overall productivity and workload of your team.
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 Company is a metric that measures the amount of time spent by company employees on tasks that are not directly billable to clients or customers. It helps businesses understand how much non-revenue generating work is being done by staff.
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 Unresolved Tickets by Type metric categorizes unresolved support tickets by their type, such as technical, billing, or general inquiries, giving insight into the types of issues customers are facing and allowing for targeted resolution efforts.
This metric measures the number of tickets with a specific tag that have been put on hold by agents and are awaiting further action or resolution in Freshdesk.
The On Hold Tickets by Source metric tracks the number of tickets currently on hold, categorized by the channel from which they originated.
The Unassigned Tickets by Tag metric displays the number of unassigned tickets that have specific tags associated with them. This provides a quick overview of which tags have the most unassigned tickets, allowing prioritization of ticket allocation to agents.