Qualtrics, LLC

Jeffrey Wade Starr

John Daniel Thimsen

Robert David Norton

The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.

Digital survey creation by providing optimized suggested content

Embodiments of the present disclosure relate generally to organizing electronic text documents. In particular, one or more embodiments comprise a content management system that improves the organization of electronic text documents by intelligently and accurately categorizing electronic text documents by topic. The content management system organizes electronic text documents based on one or more topics, without the need for a human reviewer to manually classify each electronic text document, and without the need for training a classification algorithm based on a set of manually classified electronic text documents. Further, the content management system identifies and suggests topics for electronic text documents that relate to new or emerging topics.

Organizing survey text responses

Embodiments of the present disclosure generally relate to organizing textual responses, such as survey responses. More specifically, one or more embodiments of the present disclosure provide a reviewer with textual responses that are prioritized according to usefulness. As an example, one or more embodiments of the present disclosure provide a reviewer with a notability value that provides an indication of the usefulness and/or interestedness of a response in relation to other responses for a particular open or textual type question.

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Orem, UT, United States of America

Jeffrey Wade Starr