Emerging themes in QuestionPro TextAI provide candidate themes and sub-themes for review in Theme configuration. Candidates are labeled Pending approval. Reviewing these candidates helps you assess topics that may not be adequately represented by your existing codebook.
Read the responses behind a candidate alongside its description and response percentage before deciding whether it is useful. Selecting a pending sub-theme filters the raw-response view to its associated comments and makes the Approve action available. Review outlier responses too, rather than relying only on the candidates presented.
The Pending approval label identifies a candidate available for review in Theme configuration. Check the sub-theme description and associated responses before deciding whether the candidate represents a coherent and useful topic.
Approved themes and sub-themes are labeled Emerging in dashboard widgets.
The duration starts on the approval date. It controls how long the Emerging label is displayed, not how often TextAI checks for new themes.
Adding source responses and approving a candidate are different actions. Use Process now to analyze new responses. Use Recode when you need to update coding for existing analysis; choose the scope carefully because recoding all sub-themes can overwrite manual assignments.
No. New or different feedback does not guarantee a new candidate. Review outlier responses and the existing codebook after processing completes. TextAI uses the Outlier category for responses that do not match a taxonomy topic.
A candidate's presence alone does not establish its importance. Read the supporting comments and consider their context before drawing conclusions.
This feature is available with the following licenses :
Research Edition Communities Customer Experience Employee Experience University - Research Edition