Resolved Conversations per Day is a metric that measures the average number of customer conversations successfully completed by a support team per day.
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 Conversations per Day using Databox, follow these steps:
The Closed Conversations metric measures the number of support conversations that have been marked as resolved or closed within a specific timeframe.
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.
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.
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.
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 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.