Which Embedded Data values can you capture with Text iQ-Powered Survey Flows?

The correct answer emphasizes the capabilities of Text iQ within Qualtrics, specifically focusing on the analysis of open-text responses through advanced natural language processing. Text iQ generates valuable insights by identifying sentiment and topics within qualitative feedback.

The first element, Sentiment Score, quantifies the overall emotional tone of a respondent’s text, allowing you to gauge whether feedback is positive, negative, or neutral. This metric is essential for analyzing how respondents feel about a particular issue or experience.

Next, Topic Exists indicates whether specific themes or topics are present in the open-text responses. This functionality helps researchers understand if certain subjects consistently arise in feedback, which can be pivotal for identifying trends or areas needing attention.

Lastly, the Sentiment Label assigns a descriptive category to the sentiment expressed, providing a more digestible way to interpret qualitative data by labeling it as positive, negative, or neutral. This labeling further enhances analysis by grouping responses into clear categories.

In contrast, the other choices contain values that are not directly tied to the functionalities of Text iQ. For example, Response Count and Feedback Type refer to basic survey metrics rather than qualitative analysis, while User Demographics, Response Time, and Completion Rate measure participant characteristics or survey performance instead of sentiment analysis. Similarly, Rating