Programmatic Survey Query Generation via Attribute Descriptors
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Solution Overview
Problem
Conventional survey generation techniques face challenges such as difficulty in combining sentiments into overall ratings, lack of normalization of ratings, mismatches between reviews and ratings, and the burden of writing and reading lengthy reviews, leading to low consumer engagement.
Innovation Solution
The method programmatically generates attribute descriptors based on consumer information, allowing for quantitative and qualitative assessments of commercial entities or objects, and displays survey queries with user interfaces that enable easy input and visualization of ratings and reviews, incorporating features like auto-completion and gamification to encourage participation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional survey generation techniques are used, then survey queries can be provided to consumers, but difficulty in combining sentiments into overall ratings and lack of normalization occurs
Solution Approach 1:
The patent segments the overall rating process into distinct attribute-level assessments. Instead of asking consumers to provide a single overall rating that combines multiple sentiments, the system divides the evaluation into separate attributes (e.g., product quality, service, value), allowing each to be measured and normalized independently before aggregation.
Solution Approach 2:
The system transforms the rating parameter from a single composite score to multiple normalized attribute scores. By changing the measurement parameter from overall sentiment to attribute-specific sentiments, the system enables precise combination of multiple sentiments through normalization and weighted aggregation.
2Reliability
If conventional review systems are used, then consumers can provide ratings and reviews, but mismatches between reviews and ratings occur
Solution Approach 1:
The system segments the review process into attribute-specific evaluations, where consumers rate each attribute separately. This segmentation ensures that each rating corresponds to specific review content, eliminating mismatches between overall ratings and review details.
Solution Approach 2:
The patent introduces attribute descriptors as intermediaries between consumer experiences and ratings. These descriptors guide consumers to focus on specific aspects when providing ratings, ensuring consistency between the rating given and the review content provided.
3Loss of information
If lengthy reviews are required, then detailed consumer feedback can be collected, but consumer engagement decreases due to burden
Solution Approach 1:
The system segments the feedback collection into brief attribute-specific ratings rather than requiring lengthy continuous reviews. Consumers provide quick numerical or star ratings for each attribute, maintaining feedback quality while significantly reducing the time and effort required.
Solution Approach 2:
The patent applies partial action by collecting only the essential rating data needed for each attribute without requiring comprehensive detailed reviews. This partial approach captures sufficient information for accurate assessment while minimizing consumer burden and maximizing engagement.
4Adaptability or versatility
If programmatic generation of survey queries is implemented, then attribute descriptors can be generated based on consumer information, but system complexity increases
Solution Approach 1:
The system employs self-service mechanisms where attribute descriptors are automatically generated from existing consumer information and product data without requiring manual configuration. The programmatic generation uses algorithms that extract relevant attributes from product categories and consumer feedback patterns, reducing the need for complex manual system configuration.
Solution Approach 2:
The patent implements a universal framework for survey generation that works across different product categories and consumer types. The same programmatic system generates attribute descriptors for various products by leveraging category-level knowledge and standardized processing methods, reducing overall system complexity through reuse.
Data Source
AI summary
Embodiments provide a computer-executable method for programmatically generating one or more survey queries. The method includes accessing information on a commercial entity or object. The method also includes, based on the accessed information, determining an attribute descriptor associated with the attribute. The method further includes programmatically generating a survey query indicating the attribute descriptor. The method further includes transmitting one or more computer-executable instructions to a computing device to cause a visual display device to render a user interface, the user interface displaying the survey query and enabling user input in response to the survey query.