The Resolved Tickets by Association Type metric shows the number of tickets resolved and categorized by the association of the requester's organization with the ticket, such as company or product.
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 Resolved Tickets by Association Type 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.
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.
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 Unresolved Tickets by Tag metric shows the number of open support tickets categorized by tags that have not been resolved by agents in Freshdesk. This helps teams identify which ticket categories require immediate attention and follow-up.
This metric measures the number of tickets that are currently on hold based on the type of association, such as customer or product.
Overdue Tickets by Tag metric shows the number of tickets that have not been resolved within their due date categorized by their respective tags.
The Companies metric in Freshdesk is a count of the total number of unique companies (organizations) that have been created and interacted with in the helpdesk, including tickets, contacts, and other activities.
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.