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:
The Created Tickets by Tag metric displays the number of tickets created within a specific time frame, categorized based on their associated tags. It helps track the volume of tickets related to each tag, aiding in identifying trends and areas that require attention.
The Created Tickets by Priority metric displays the total number of support tickets created in Freshdesk based on their priority levels (low, medium, high, urgent).
The Created Tickets by Association Type metric displays the number of tickets created based on the association type (e.g., customer, contact, company) within a specific time frame.
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.
The Resolved Tickets by Company metric in Freshdesk shows the number of tickets resolved by each company, providing a measure of customer satisfaction and support team performance for individual companies.
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.
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.