Product Design Based on User Review Sentiment Analysis
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Solution Overview
Problem
Product designers and manufacturers face challenges in understanding consumer preferences for product properties such as size, shape, color, price, and configuration, leading to high costs in developing new product designs that meet diverse user requirements.
Innovation Solution
A method and system that analyze user reviews to determine sentiments on product properties, generating candidate product designs by modifying current values based on user feedback, and aggregating these designs to create new product offerings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If product designers conduct extensive user research to understand consumer preferences, then product design quality improves, but development costs increase
Solution Approach 1:
The system performs preliminary sentiment analysis on user reviews before product design decisions are made. By analyzing reviews and extracting sentiments about product properties in advance, the system prepares actionable insights that guide design modifications, reducing the need for costly post-development adjustments and extensive user testing
Solution Approach 2:
The system implements a feedback loop where user reviews are continuously analyzed to inform product design iterations. Sentiment analysis results feed back into the design process, allowing manufacturers to adjust product properties based on actual user perceptions and preferences, thereby improving design quality while reducing the need for expensive market research
2Adaptability or versatility
If multiple candidate product designs are generated to meet diverse user requirements, then product adaptability improves, but design complexity increases
Solution Approach 1:
The system segments the product design space by analyzing user sentiments on specific product properties (size, shape, color, price, configuration) separately. This allows the generation of targeted candidate designs that address specific user needs without requiring complex optimization across all properties simultaneously, simplifying the overall design process
Solution Approach 2:
The system generates candidate product designs by systematically varying product properties based on sentiment analysis results. By changing specific parameters (property values) according to user feedback, the system creates adapted design variants efficiently, improving product versatility while maintaining manageable design complexity through structured parameter exploration
Data Source
AI summary
Embodiments of the present invention relate to a method, device and computer program product for product design based on user reviews. Reviews on a product are obtained from a plurality of users. These reviews are analyzed to determine sentiments of the users with respect to a property of the product. A plurality of candidate product designs are generated by changing a first value of the property based on the sentiments of the users. Then one or more new product designs are obtained based on the candidate product designs.