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.
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 Customers Helped by Team Member using Databox, follow these steps:
The Customer Success dashboard template uses HelpScout and Stripe to track customer service levels versus churn rates.
New Conversations metric shows the number of new email or chat conversations started with your customers during a given time period in Helpscout.
The Closed Conversations metric measures the number of support conversations that have been marked as resolved or closed within a specific timeframe.
Resolved Conversations per Day is a metric that measures the average number of customer conversations successfully completed by a support team per day.
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.
Total Conversations is a metric that tracks the total number of conversations (emails, chats, calls) between support agents and customers within a specific timeframe.
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.
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.