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.
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 Type 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.
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 Ticket is a metric used by Freshdesk to measure time spent by agents on activities that are not billable to clients/customers, such as internal consultations or training.
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.
Resolved Tickets is a measure of the total number of support tickets that have been successfully resolved and closed within a defined period of time.
Resolved Tickets by Priority metric categorizes the resolved tickets based on their priority and shows their count, helping in monitoring and improving the resolution times of high-priority tickets.
This metric shows the number of resolved support tickets based on the channel through which they were received, such as email, phone, chat, or web portal.
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.