Community-Based Wagering Platform for Social Engagement
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Solution Overview
Problem
Traditional sports wagering platforms are impersonal and isolating, lacking social interaction, which is not suited for the fast-paced and dynamic nature of in-play wagering on individual events during sporting events.
Innovation Solution
A community-based gaming method that allows users to create, join, or invite others to communities based on geographical location, winnings, or rankings, using a proprietary data management and analytic statistical software system for peer-to-peer wagering, leaderboards, and geolocation-based notifications, enabling users to interact and compete with each other in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional sports wagering platforms are used, then the wagering function is provided, but the social interaction and user engagement are limited
Solution Approach 1:
The system segments users into different communities based on geographical location, team affiliation, or other criteria. Each community can interact independently through peer-to-peer wagering, creating social connections while maintaining the core wagering function. This segmentation transforms the isolated user experience into a socially engaged one without compromising the wagering operation.
Solution Approach 2:
The platform introduces communities and leaderboards as intermediary structures between users and the wagering system. These intermediaries facilitate social interaction and competition, making users engage more deeply with the platform while the core wagering function remains intact. The intermediary layers add social value without disrupting the fundamental wagering operation.
2Ease of operation
If peer-to-peer wagering is implemented, then user interaction is enhanced, but the system complexity increases
Solution Approach 1:
The existing wagering platform infrastructure is designed to handle multiple functions: traditional bookmaking, peer-to-peer wagering, community management, and leaderboard tracking. By making the system multi-functional, the platform can add social interaction features without requiring completely separate systems, thus managing complexity while enhancing user interaction capabilities.
Solution Approach 2:
The system changes parameters of the existing platform by introducing new fields for community identification, user rankings, and peer matching. These parameter changes enable peer-to-peer wagering and social features to be built upon the existing architecture rather than requiring fundamental system redesign, thereby controlling complexity while improving user interaction.
3Ease of operation
If communities and leaderboards are added, then user engagement is improved, but the data management requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-defining community categories, ranking criteria, and data collection parameters before users interact with the platform. This allows the data management system to be prepared with structured frameworks that accommodate social features without requiring complex real-time data processing, thus managing data requirements while improving user engagement through communities and leaderboards.
Data Source
AI summary
A system for wagering on individual events in a sporting event. In addition to allowing users to wager on individual events, the system allows the creation of communities of users based upon a number of different factors, including location, team affiliation, betting history, or other common factors. Users can view their standing among their own communities and specialty communities, such as celebrities or experts, on a leaderboard. Wagers can be based upon the user's standing on a leaderboard at the end of a predetermined number of game events. The system further allows users to message other members and propose wagers directly to other players.