Resolved Conversations is a metric that measures the total number of customer support conversations that were resolved by your team within a given time period.
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 using Databox, follow these steps:
New Conversations metric shows the number of new email or chat conversations started with your customers during a given time period in Helpscout.
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.
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 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 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.