Matching App Scheduling Shared Interests
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Solution Overview
Problem
Conventional matching apps fail to assist users in setting up dates by not considering shared interests and not facilitating the scheduling of activities and locations that are mutually convenient.
Innovation Solution
A matching app that helps users select potential matches based on shared interests, suggests locations for activities, and assists in scheduling dates and times that are convenient for both parties, while also providing features for communication and event planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional matching apps only match users based on basic criteria without considering shared interests, then the matching process is simple, but the quality of matches and likelihood of successful dates is poor
Solution Approach 1:
The system performs preliminary actions by automatically determining shared interests between users, suggesting activities based on those interests, and identifying suitable locations before the users need to meet. This advance preparation improves match quality without requiring complex user intervention during the actual dating setup process.
Solution Approach 2:
The system enables self-service by automatically analyzing user profiles to determine shared interests, generating activity suggestions, and proposing location options without requiring users to manually coordinate these details. This automation maintains simplicity while improving match reliability.
2Productivity
If users manually coordinate all date details including activities and locations, then the system remains simple, but the time and effort required to set up dates is excessive
Solution Approach 1:
The system performs preliminary actions by automatically determining shared interests between users, suggesting activities based on those interests, and identifying suitable locations before the users need to meet. This advance preparation improves match quality without requiring complex user intervention during the actual dating setup process.
Solution Approach 2:
The system enables self-service by automatically analyzing user profiles to determine shared interests, generating activity suggestions, and proposing location options without requiring users to manually coordinate these details. This automation maintains simplicity while improving match reliability.
3Adaptability or versatility
If users must find mutually convenient times and locations for activities, then the date can be personalized, but the complexity of coordination increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically determining shared interests between users, suggesting activities based on those interests, and identifying suitable locations before the users need to meet. This advance preparation improves match quality without requiring complex user intervention during the actual dating setup process.
Solution Approach 2:
The system enables self-service by automatically analyzing user profiles to determine shared interests, generating activity suggestions, and proposing location options without requiring users to manually coordinate these details. This automation maintains simplicity while improving match reliability.
4Reliability
If users are left to figure out how to convince their match to go out and select activities, then the app remains simple, but the success rate of actual meetings is low
Solution Approach 1:
The system performs preliminary actions by automatically determining shared interests between users, suggesting activities based on those interests, and identifying suitable locations before the users need to meet. This advance preparation improves match quality without requiring complex user intervention during the actual dating setup process.
Solution Approach 2:
The system enables self-service by automatically analyzing user profiles to determine shared interests, generating activity suggestions, and proposing location options without requiring users to manually coordinate these details. This automation maintains simplicity while improving match reliability.
Data Source
AI summary
A matching app provides a method of matching first and second users and may schedule a personal meeting between them. Potential matches are based, at least in part, upon the respective interests of the parties and their locations. Information is received indicating favored activities of the first and second users. When one user wants to personally meet the other user, the matching app proposes a suggested activity and a suitable nearby location. The proposed location and activity are displayed to a user on a communication device, allowing the first user to send an electronic message inviting the second user to meet to engage in the suggested activity at the proposed location.