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.
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 Created Tickets by Status 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 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.
The Unresolved Tickets by Association Type metric indicates the number of tickets that are yet to be resolved based on their association with a certain customer or product.
The Pending Tickets by Company metric shows the number of unresolved tickets for each company in a customer support system. This helps track the workload and prioritize tasks.
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 closed tickets grouped by their association type (e.g. requester, company, contact, etc.) in order to analyze support trends and performance.
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.
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.