How Zendesk QA Categorizes Customer Comments
How does Zendesk QA categorize comments?
Zendesk QA categorizes comments into various predefined categories to help analyze customer feedback. The AI solution tags comments based on their content, size, and sentiment.
Categories include feedback for agent, complaint, issue solved, negative sentiment, positive sentiment, and more. Additionally, comments are grouped by size, such as short, mid-length, long, and very long. This categorization helps in understanding customer sentiment and improving support performance.
More related questions
What is the comment size and predicted CSAT drivers feature in Zendesk QA?
The comment size and predicted CSAT drivers feature in Zendesk QA helps categorize customer feedback into predefined categories. This AI solution automatically identifies patterns in free text comments and tags them accordingly on the Zendesk QA…
What are the different comment size categories in Zendesk QA?
In Zendesk QA, comments are categorized by size to help analyze the nature of feedback. The size categories include short, mid-length, long, and very long. This categorization allows for a more nuanced understanding of customer feedback, as the…
What content categories are used in Zendesk QA for comments?
Zendesk QA uses a variety of content categories to tag comments, providing insights into customer feedback. These categories include feedback for agent, complaint, issue solved, negative sentiment, positive sentiment, and more. By organizing…
Is the comment size and predicted CSAT drivers feature available for all languages?
No, the comment size and predicted CSAT drivers feature in Zendesk QA is only available for comments written in English. This limitation is important to consider if your customer base communicates in multiple languages. The feature's focus on…
Interested indeflectingover 70% of your Zendesk support tickets?
Zendesk Support Tickets
Zendesk Messaging (live chat)
Join1,000+ companies reducing their support costs and freeing up support agents for more important work
“We needed an AI agent integrated within our current tools. My AskAI was the only solution that wasn't going to disrupt our operations.”
Zeffy
“At the end of last year I was given the challenge - how can we provide the same or better service, without hiring anyone?”
Zinc
“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”
Customer.io($50M+ ARR)
“It now resolves 71% of queries (over 35,000 every month), meaning more time solving complex issues and improving UX.”
Freecash
“We needed an AI agent integrated within our current tools. My AskAI was the only solution that wasn't going to disrupt our operations.”
Zeffy
“At the end of last year I was given the challenge - how can we provide the same or better service, without hiring anyone?”
Zinc
“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”
Customer.io($50M+ ARR)
“It now resolves 71% of queries (over 35,000 every month), meaning more time solving complex issues and improving UX.”
Freecash
Reduce support costs.Spend more time on customer success.
