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.
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 Handle Time using Databox, follow these steps:
The HelpScout for Customer Support dashboard allows you to track responsiveness and handling time across your support team.
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.
The First Response Time metric measures the time it takes for a customer support agent to respond to a customer's initial request or inquiry.
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.
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.
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.