Back to results
US 11,531,998 B2Granted
Providing a conversational digital survey by generating digital survey questions based on digital survey responses
AssigneeQualtrics, LLC
InventorMilind Kopikare
Life of this patent
Estimating the term…
Abstract
The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating conversational survey questions. The systems and methods analyze a received survey question response to identify characteristics of a survey response, including topics and other response features. For example, the systems can determine a sentiment associated with a given product or service that a respondent expresses within a response. Based on the determined sentiment, and further based on a set of logic rules received from a survey administrator, the systems and methods generate provide conversational follow-up questions associated with the identified product or service.
Claims20
A method comprising:
- providing, to an administrator client device, a survey creation interface comprising a plurality of manipulable survey creation blocks arranged in a nested visual survey flow mapping logical conditions defining branches of respective processes for administering a digital survey;
- in response to a first client device interaction to adjust the plurality of manipulable survey creation blocks within the survey creation interface, modifying the nested visual survey flow to include a machine learning block that maps a sentiment prediction machine learning model to a branch of the logical conditions for administering the digital survey;
- providing a digital survey question of the digital survey to a respondent client device;
- receiving, from the respondent client device, a text-based response to the digital survey question of the digital survey;
- analyzing, based on detecting that the branch for the machine learning block within the nested visual survey flow is triggered according to the logical conditions, the text-based response utilizing the sentiment prediction machine learning model of the machine learning block to identify an indicated topic and to determine a sentiment score associated with the indicated topic;
- determining that the sentiment score for the indicated topic satisfies a logical condition from among the logical conditions mapped by the nested visual survey flow;
- selecting, based on determining that the sentiment score for the indicated topic satisfies the logical condition, a follow-up digital survey question according to the nested visual survey flow arranged via the survey creation interface;
- and
- providing the follow-up digital survey question to the respondent client device.
6 more elements
A system comprising:
- at least one processor;
- and
- a non-transitory computer readable medium comprising instructions that, when executed by the at least one processor, cause the system to:
- provide, to an administrator client device, a survey creation interface comprising a plurality of manipulable survey creation blocks arranged in a nested visual survey flow mapping logical conditions defining branches of respective processes for administering a digital survey;
- in response to a first client device interaction to adjust the plurality of manipulable survey creation blocks within the survey creation interface, modify the nested visual survey flow to include a machine learning block that maps a sentiment prediction machine learning model to a branch of the logical conditions for administering the digital survey;
- provide a digital survey question of the digital survey to a respondent client device;
- receive, from the respondent client device, a text-based response to the digital survey question of the digital survey;
- analyze, based on detecting that the branch for the machine learning block within the nested visual survey flow is triggered according to the logical conditions, the text-based response utilizing the sentiment prediction machine learning model of the machine learning block to identify an indicated topic and to determine a sentiment score associated with the indicated topic;
- determine that the sentiment score for the indicated topic satisfies a logical condition from among the logical conditions mapped by the nested visual survey flow;
- select, based on determining that the sentiment score for the indicated topic satisfies the logical condition, a follow-up digital survey question according to the nested visual survey flow arranged via the survey creation interface;
- and
- provide the follow-up digital survey question to the respondent client device.
9 more elements
A non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause a computer device to:
- provide, to an administrator client device, a survey creation interface comprising a plurality of manipulable survey creation blocks arranged in a nested visual survey flow mapping logical conditions defining branches of respective processes for administering a digital survey;
- in response to a first client device interaction to adjust the plurality of manipulable survey creation blocks within the survey creation interface, modifying the nested visual survey flow to include a machine learning block that maps a sentiment prediction machine learning model to a branch of the logical conditions for administering the digital survey;
- provide a digital survey question of the digital survey to a respondent client device;
- receive, from the respondent client device, a text-based response to the digital survey question of the digital survey;
- analyze, based on detecting that the branch for the machine learning block within the nested visual survey flow is triggered according to the logical conditions, the text-based response utilizing the sentiment prediction machine learning model of the machine learning block to identify an indicated topic and to determine a sentiment score associated with the indicated topic;
- determine that the sentiment score for the indicated topic satisfies a logical condition from among the logical conditions mapped by the nested visual survey flow;
- select, based on determining that the sentiment score for the indicated topic satisfies the logical condition, a follow-up digital survey question according to the nested visual survey flow arranged via the survey creation interface;
- and
- provide the follow-up digital survey question to the respondent client device.
6 more elements
Dependencies are inferred from the claim text.