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.
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 First Response Time (Office Hours) using Databox, follow these steps:
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.
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 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 (Office Hours) metric measures the average time it takes for a Help Scout user to respond to a customer during office hours.
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 Customers metric in Helpscout simply refers to the total number of unique customers who have contacted your support team through any of your Helpscout channels.
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.