Resolved on First Reply measures the percentage of customer requests that are fully resolved by the support team on the first reply to the customer.
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 Resolved on First Reply using Databox, follow these steps:
First Response Time by Time Range measures the average time taken by an agent to respond to the first message of a customer based on different time periods such as hours, days, or weeks.
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.
Response Time is the average time it takes for a customer support agent to respond to a customer's initial message. It's a key metric in measuring customer satisfaction and efficiency of customer support teams.
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 First Office Response Time by Time Range metric measures the time taken by the Helpscout team to respond to a customer's initial inquiry during specific time intervals, indicating how quickly they respond to customer queries.
Response Time (Office Hours) metric measures the average time it takes for a Help Scout user to respond to a customer during office hours.
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 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.