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.
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 Replies by Team Member using Databox, follow these steps:
The Replies Sent per Day metric measures the average number of replies that are sent per day to customer inquiries or tickets in Helpscout. It provides insight into the efficiency and productivity of the support team.
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 Happiness Score by Team Member metric measures the satisfaction level of customers after interacting with a specific customer support team member. It helps to identify the best-performing team members and areas for improvement in 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.
Total Conversations is a metric that tracks the total number of conversations (emails, chats, calls) between support agents and customers within a specific timeframe.
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.
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.