Demand-Driven Structured Information Collection System
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Solution Overview
Problem
Current methods for collecting product and service recommendations, ratings, and reviews are unstructured, inefficient, and lack trustworthiness, as they are often anonymous and not tailored to individual needs, with existing tools failing to provide collaborative, demand-driven, and personalized information for purchase decisions.
Innovation Solution
A system and process that utilizes electronic platforms like email, SMS, IM, and social networks to collect structured input by allowing users to request information from specific individuals or groups, organizing and updating reviews in a centralized manner, providing access to organized and additional content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If anonymous or unknown individuals provide recommendations and reviews on public sites, then the quantity of review content increases, but the trustworthiness and reliability of the information decreases
Solution Approach 1:
The patent introduces an intermediary system that connects reviewers and reviewees through structured requests and responses. The system mediates the review process by requiring identified individuals to provide structured feedback in response to specific requests, rather than allowing anonymous public postings. This intermediary structure enhances trustworthiness while maintaining review quantity.
Solution Approach 2:
The patent changes the parameters of the review system from anonymous/unstructured to identified/structured. By requiring reviewer identification and implementing structured response formats with specific attributes, the system transforms the nature of reviews to improve reliability while preserving quantity through efficient collection methods.
2Quantity of substance
If general recommendation content is provided for broad audiences, then the quantity of available information increases, but the personalization and applicability to specific individuals decreases
Solution Approach 1:
The patent segments the review process into specific structured components including identified reviewers, specific review attributes, and targeted responses to particular requests. This segmentation allows information to be organized in a way that can be efficiently filtered and personalized for different individuals while maintaining the overall quantity of available information.
Solution Approach 2:
The system performs preliminary actions by pre-defining review structures, attributes, and requester-reviewer connections before reviews are submitted. This preliminary structuring enables efficient personalization and filtering of information for specific individuals without requiring general content to be created first, thus maintaining both quantity and adaptability.
3Ease of operation
If unstructured communication methods like email replies and wikis are used for collaboration, then the ease of operation and accessibility increases, but the structure and organization of information decreases
Solution Approach 1:
The patent changes the parameters of collaborative communication from unstructured/free-form to structured/attribute-driven while maintaining ease of operation through automated systems. The structured format with predefined attributes organizes information efficiently, and the automated request-response system handles the complexity, keeping the user experience simple and accessible.
4Quantity of substance
If supply-driven information collection is used where information is provided for incentives, then the quantity of content increases, but the demand-driven relevance and usefulness for specific decisions decreases
Solution Approach 1:
The patent inverts the traditional supply-driven model by implementing a demand-driven approach where specific requests for information are made first, and then structured responses are collected from identified reviewers. This inversion ensures that content is generated based on specific decision-making needs rather than general supply, maintaining both quantity and relevance for specific decisions.
Data Source
AI summary
A demand driven process of collecting structured product and service information including the steps of: receiving a request for information from a requestor about a specific product or service, or attribute or class thereof, associating one or more potential responders with the request for information, providing the request to the potential responders, receiving and organizing one or more responses, and providing the organized responses to the requestor, all electronically. An arrangement for the same includes user computers for receiving requests for information, network communication devices for transmitting the requests to potential responders, memory for storing electronic responses and a controller for organizing, updating, and providing access to the electronic responses.