Social Feedback System with Segmented Trust Assessment
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Solution Overview
Problem
Existing online platforms lack a structured mechanism for users to provide and evaluate feedback on their interactions with other members, leading to a lack of transparency and trust in online communities, as they are designed primarily for product or service reviews rather than interpersonal experiences.
Innovation Solution
An automated social feedback system that allows users to rate and review peers based on real-world interactions, with a rigorous profile confirmation process, nuanced feedback differentiation by relationship closeness, and a clear code of ethics, along with a robust backend infrastructure and intuitive GUI for seamless feedback management and privacy control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional feedback formats focused on products or services, then the system structure remains simple, but it cannot capture nuanced dynamics of interpersonal experiences
Solution Approach 1:
The feedback system is segmented into different feedback types (positive feedback, negative feedback, neutral feedback) and relationship levels (friends, family, acquaintances). This segmentation allows the system to capture nuanced interpersonal dynamics while maintaining a manageable structure through categorization and classification.
Solution Approach 2:
The system adds new dimensions to feedback by incorporating relationship closeness as a factor and enabling feedback from multiple sources (friends, family, acquaintances). This dimensional expansion allows capture of interpersonal nuances without overwhelming complexity, as each dimension can be independently managed.
2Reliability
If no profile confirmation process is implemented, then user registration is fast and easy, but fraudulent feedback and spurious content increase
Solution Approach 1:
Profile confirmation is performed as a preliminary action during the user registration process. By verifying user identities and establishing authentic profiles before allowing feedback participation, the system prevents fraudulent feedback while maintaining a streamlined registration flow that doesn't significantly delay user onboarding.
3Ease of operation
If feedback visibility is not controlled, then the system remains simple to operate, but users cannot protect their privacy or control who accesses their feedback
Solution Approach 1:
The system applies local quality control by allowing different visibility settings for different feedback entries (public, private, anonymous). Each feedback item can have its own accessibility characteristics, enabling users to protect their privacy where needed while maintaining simplicity in the overall system operation through intuitive setting controls.
Data Source
AI summary
The disclosed invention pertains to a novel social media platform facilitating community members to give feedback based on their interactions with fellow members. Specifically, it revolves around a system enabling users to offer feedback through an application or website, and subsequently view aggregated feedback about a particular user's interactions. Accessible via mobile and other computing devices, this software application and website empower community members to share real-time experiences and rate other users directly on their profiles.


