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 comments into these categories, Zendesk QA helps support teams understand the nature of customer feedback and identify areas for improvement. This categorization is part of the AI-driven solution that enhances customer sentiment analysis and support performance.
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…
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,…
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…
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…