The Companies by Health Score metric in Freshdesk measures the overall health of a company's support interactions, ranging from excellent to poor, based on factors such as response times, resolution rates, and customer satisfaction.
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 Companies by Health Score using Databox, follow these steps:
Non-billable hours metric is a measure of the time spent by employees on non-billable activities such as training, meetings, admin work, etc. It helps organizations track productivity and efficiency.
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.
Open Tickets by Association Type metric in Freshdesk reflects the number of tickets that are currently unresolved and categorized by the type of association - Agent, Group, or Product.
The Resolved Tickets by Type metric measures the number of resolved tickets grouped by their respective types in Freshdesk. This provides insights into the types of issues that your support team is resolving effectively.
The On Hold Tickets by Company metric tracks the number of open support tickets that are currently on hold for each company in your Freshdesk account.
The Overdue Tickets by Source metric shows the number of tickets that have not been resolved by their due date, grouped by the channel they were received from.
Unassigned Tickets by Priority metric shows the number of tickets that are yet to be assigned to an agent, grouped by their priority levels. This provides a quick overview of pending high-priority tickets that require immediate attention.
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.