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.
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 Replies per Day per User (%) using Databox, follow these steps:
The New Conversations by Tag Name metric shows the total number of new conversations initiated and assigned a particular tag in a given time frame. It helps track trends and prioritize areas of focus for customer support teams.
Resolved Conversations per Day is a metric that measures the average number of customer conversations successfully completed by a support team per day.
The Replies Sent metric measures the number of responses or messages sent by a Helpscout user in a given time frame, indicating the overall efficiency and engagement of customer support.
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.
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 Customers Helped metric tracks the number of unique customers who have received support from the helpdesk within a specified time frame. It provides insight into the overall level of customer engagement and support effectiveness.
The Customers Helped by Team Member metric measures the total number of customers assisted by a single team member within a specified time period, indicating their individual productivity and efficiency in providing customer support.
The Happiness Score by Happiness Ratings metric measures customer satisfaction by assigning a numerical value to feedback ratings. It helps teams track customer sentiment and identify areas for improvement.