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Comment Size & CSAT Drivers - Frequently asked questions

Explore common questions about comment size and predicted CSAT drivers. Learn how these factors impact customer satisfaction and improve your Zendesk experience.

Frequently asked 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…

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,…

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…

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