Qualtrics, LLC

The present disclosure is directed toward systems and methods generating a survey response based on an analysis of a communication provided by a user. The systems and methods may include receiving a data package sent in response to detecting a trigger event performed by a user, analyzing the data package to determine a user identification for the user, a user input, or an event type, and based on the analysis of the data package, identifying a first survey inquiry within a first electronic survey. Furthermore, the systems and methods may include formatting the first survey inquiry in an instant messenger format, providing, via an instant messenger platform, the formatted first survey inquiry to an instant messenger communication thread associated with the user, receiving an instant message response, and based on the instant message response, generating a survey response to the first survey inquiry.

The present disclosure is directed toward systems and methods generating a survey response based on an analysis of a communication provided by a user. The systems and methods may include receiving a data package sent in response to detecting a trigger event performed by a user, analyzing the data package to determine a user identification for the user, a user input, or an event type, and based on the analysis of the data package, identifying a first survey inquiry within a first electronic survey. Furthermore, the systems and methods may include formatting the first survey inquiry in an instant messenger format, providing, via an instant messenger platform, the formatted first survey inquiry to an instant messenger communication thread associated with the user, receiving an instant message response, and based on the instant message response, generating a survey response to the first survey inquiry.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for maintaining the anonymity of survey respondents while providing useful data to an analyst. In particular, in one or more embodiments, the disclosed systems utilize various anonymity protections based on various anonymity thresholds. For example, the presently disclosed systems and methods may disallow or modify potentially identifying data filters, including generating alternate data groupings. Further, the systems and methods may modify text responses to reduce identification risk.

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.

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.

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.

This disclosure generally covers systems and methods that, in some embodiments, provide an electronic survey template for creating a user customizable electronic survey including authentication features. Those authentication features include, in some embodiments, authenticating questions with elements that capture a digitally drawn signature, digital image, fingerprint, or voiceprint. Certain embodiments of the disclosed systems and methods provide a graphical user interface comprising an electronic survey template with a menu of survey question types, including an option to create authenticating questions within the electronic survey template. Some embodiments of the disclosed systems and methods also provide functions and features that allow users to preview a customized electronic survey template as an interactive electronic survey or to preview individual electronic survey questions as interactive electronic survey questions.