Question Platform for Real-Time Survey Matching
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Solution Overview
Problem
Companies face challenges in finding qualified survey participants for electronic surveys, and there is a lack of technological solutions to efficiently link publishers with access to potential respondents and survey creators, leading to inefficient individual agreements and uncertain demographic guarantees.
Innovation Solution
A question platform that matches survey creators with survey takers based on real-time or near real-time match criteria, including demographic attributes, bid/ask prices, and content restrictions, using entity availability notifications and survey requests to create digital contracts and facilitate payment while ensuring survey validity and preventing bot usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If individual agreements are entered between publishers and survey creators, then survey participant recruitment can be achieved, but the process becomes inefficient and demographic guarantees become uncertain
Solution Approach 1:
The patent introduces a marketplace platform as an intermediary between publishers and survey creators. This platform includes a processor that receives entity availability notifications from publishers and survey requests from survey creators, then automatically matches them based on demographic criteria. The marketplace eliminates the need for individual negotiations while providing systematic demographic filtering and matching algorithms, thereby improving recruitment efficiency while maintaining demographic guarantee reliability.
2Measurement precision
If advanced algorithms and machine learning models are used to match surveys and participants, then matching precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the matching system into distinct functional modules: an entity availability notification receiver, a survey request receiver, a processor that performs matching using demographic criteria, and a digital contract creator. By dividing the complex matching task into separate operational stages, the system achieves high matching precision through specialized algorithms while managing complexity through modular architecture. Each component handles a specific aspect of the matching process, making the overall system more maintainable and scalable.
Data Source
AI summary
Disclosed in some examples is a question platform which matches survey creators with survey takers (entities) referred by publishers. In some examples, the match can happen in real-time or near real time based upon a number of match criteria. Match criteria may include survey creator criteria submitted by the survey creators that describe desired entity attributes, a bid price (e.g., maximum price they are willing to pay), and survey content information. Match criteria may also include publisher criteria that describe entity information, an ask price (minimum price that the publisher is willing to accept for providing access to the entity), and content criteria (e.g., restrictions on the types of survey, the number of questions, and the like).