This metric shows the number of closed tickets grouped by their association type (e.g. requester, company, contact, etc.) in order to analyze support trends and performance.
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 Closed Tickets by Association Type using Databox, follow these steps:
The Created Tickets by Status metric displays the number of tickets that have been created in each status category (open, pending, resolved, closed) within a specified time frame.
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.
The Resolved Tickets by Source metric shows the number of support tickets that have been resolved within a specific time frame, grouped by the source from which they originated (e.g. email, phone, chat, social media).
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.
This metric shows the number of tickets that are currently put on hold classified by their type/category in your Freshdesk account.
The Overdue Tickets by Association Type metric displays the number of tickets that are past their due date, organized by the type of association with your organization (e.g. company, contact, agent).
The Unassigned Tickets metric shows the number of tickets that have not yet been assigned to an agent or group.