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.
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 Happiness Score by Happiness Ratings 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 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.
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.
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 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.
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.
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.