The Resolution Time metric measures how long it takes to fully resolve a customer issue from the time it was reported to when it was successfully resolved.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
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 Resolution Time using Databox, follow these steps:
The HelpScout for Customer Support dashboard allows you to track responsiveness and handling time across your support team.
New Conversations metric shows the number of new email or chat conversations started with your customers during a given time period in Helpscout.
Resolved Conversations is a metric that measures the total number of customer support conversations that were resolved by your team within a given time period.
Replies by Team Member metric measures the number of replies given by each individual team member in Helpscout, providing insights into individual performance and workload distribution.
First Response Time (Office Hours) is a metric that measures the time it takes for a support agent to respond to a customer during business hours. This metric helps teams ensure timely and efficient customer service.
The Conversations by Tag Name metric allows you to track and analyze customer conversations that have been assigned a specific tag, helping you understand and optimize the types of issues your customers are raising through those tags.
The Customers metric in Helpscout simply refers to the total number of unique customers who have contacted your support team through any of your Helpscout channels.
Handle Time measures the time taken by an agent to resolve a customer query. It includes all the interactions and tasks performed during the ticket resolution process.
The Replies per Day per User (%) metric measures the average number of replies a user sends per day as a percentage compared to the teams average. It helps understand each users contribution to the teams overall performance.