Dynamic Matching System Using Multi-Tiered Questioning Protocols
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Solution Overview
Problem
End users in online communities, such as dating platforms, often exhibit inactivity in reviewing potential matches, leading to poor customer satisfaction and reduced engagement, as existing systems lack effective methods to encourage participation and facilitate meaningful interactions.
Innovation Solution
A system that includes features like Quizlets to solicit user information, multi-tiered questioning protocols, pre-date profile management, post-date evaluations, and an 'Interested In You' component, along with personality type identification and interest-based matching, to enhance user engagement and compatibility assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional matching systems are used, then basic profile matching is provided, but user participation and engagement remain low
Solution Approach 1:
The system implements multi-tiered questioning protocols where users answer questions about themselves and their matches, receiving feedback on compatibility based on their responses. This feedback loop encourages continued participation as users engage with the matching process and see tangible results from their inputs, directly addressing the low engagement problem while maintaining ease of use.
Solution Approach 2:
The matching system transitions from static profile matching to dynamic interaction-based matching. Users progressively answer questions at multiple tiers, with the system adapting and refining matches based on evolving user responses and preferences. This dynamic approach increases engagement by making the process interactive and personalized, while improving customer satisfaction through more accurate matches.
2Measurement precision
If detailed questioning protocols are implemented, then matching precision is improved, but system complexity increases
Solution Approach 1:
The questioning protocol is divided into multiple tiers or levels, where users answer questions progressively rather than all at once. Each tier focuses on specific aspects of compatibility, allowing the system to gather detailed information systematically. This segmentation improves matching accuracy by capturing nuanced preferences while managing system complexity through structured, modular question design.
Solution Approach 2:
The system performs preliminary matching based on basic profile information before implementing detailed questioning protocols. This preliminary action establishes an initial match pool, and subsequent detailed questions refine these matches. By performing preliminary sorting first, the system reduces the overall complexity burden on any single user interaction while maintaining high matching precision through progressive refinement.
Data Source
AI summary
In one example embodiment, an apparatus is provided that includes a central website that interfaces with one or more end users to establish a profile for each of the end users to be used in matching the end users to each other for a potential relationship. Information is provided in the profile and the information includes relevant characteristics of corresponding end users. A first end user is asked one or more questions after their profile is established, the questions being posed to a second end user whose respective profile has also been established and whose profile has already been matched to the first end user's profile. Answers for the questions from the first and second end users are compared and a subsequent message is sent to the first end user if the answers provided by the first end user and the second end user are compatible.