Conversational Survey System for Adaptive Question Generation
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Solution Overview
Problem
Conventional electronic survey systems are limited in extracting specific and actionable feedback due to their rigid, one-size-fits-all format, which prevents respondents from providing valuable feedback on specific issues and fails to adapt to individual experiences or tones in their responses.
Innovation Solution
A conversational survey system that analyzes responses to identify response features such as sentiment and topics, generating follow-up questions based on logical conditions defined by administrators, allowing for a tailored and interactive survey flow that adapts to individual responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a predetermined and rigid survey format is used, then the survey can be efficiently administered to multiple respondents, but the system cannot extract specific and actionable feedback from individual respondents
Solution Approach 1:
The survey system transitions from a static, predetermined format to a dynamic, adaptive format that changes based on respondent inputs. The system analyzes responses in real-time and generates follow-up questions tailored to each respondent's specific issues, allowing the survey flow to adapt dynamically while maintaining efficient administration through automated analysis and question generation.
Solution Approach 2:
The system implements a feedback loop where respondent answers are analyzed to determine response features (sentiment, magnitude, etc.), which then trigger logical conditions that generate appropriate follow-up questions. This feedback mechanism ensures that specific actionable feedback is extracted while maintaining survey efficiency through automated processing.
2Ease of operation
If conventional digital survey systems are used, then the survey can be administered via computer interface, but the system cannot react or adjust to a respondent's tone, complaint, or individualized expression
Solution Approach 1:
The system replaces the mechanical, rigid computer interface with an intelligent system that uses natural language processing and machine learning to analyze respondent tone, sentiment, and individualized expressions. This substitution maintains the ease of digital administration while adding the adaptability to respond to individual expressions through automated analysis and dynamic question generation.
3Device complexity
If a one-size-fits-all survey format is used, then the survey structure is simple and easy to implement, but the survey produces information that is too general or abstract to create a complete understanding of individual experiences
Solution Approach 1:
The system applies local quality by tailoring the survey experience to each respondent's specific needs and issues. While maintaining a simple overall structure, the system dynamically adjusts individual questions and follow-ups based on local response characteristics, ensuring that each respondent's unique experience is captured without increasing overall system complexity through automated adaptation.
Data Source
AI summary
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.