Feedback Desk AI

A comprehensive full-stack platform that centralizes customer feedback from multiple products. It leverages AI to automatically classify sentiment and category, transforming raw data into actionable product insights through real-time analytics.

Feedback Desk AI acts as a central repository for cross-product user reviews and feature requests. Using natural language processing (NLP), it analyzes user sentiment and categorizes feedback dynamically, allowing product teams to target high-priority bugs and customer requests.

Customer feedback usually gets lost across email, support channels, app stores, and chat platforms. Manually tagging and prioritizing critical issues requires extensive administrative effort and delays bug fixes.

I built a centralized feedback collection hub. Utilizing cryptographically secured, dynamic HMAC links, clients submit reviews that are immediately analyzed using sentiment classifiers. These data points populate an interactive, real-time analytics dashboard.

Constructed using Next.js for the UI and NextAuth for admin authentication, backed by a Node.js Express server. Data is stored in Supabase (PostgreSQL), utilizing relational integrity, indexing, and optimized JSONB query operations for sentiment reports.

Securing feedback links so they could not be spammed or spoofed by malicious scripts, and keeping real-time visualization graphs fast and responsive even when loading tens of thousands of data records.

Implemented cryptographic token validation (HMAC) for feedback links to authenticate submissions. Recharts rendering was optimized by aggregating and grouping feedback records on the PostgreSQL server prior to transmission, reducing the payload size by 85%.

Achieved a 95% accuracy rate in AI sentiment tagging, reducing customer issue response delays by 3x and improving developer turnaround on critical bug fixes.

• Real-time AI sentiment analysis & auto-categorization
• Multi-product management with unified dashboard
• Dynamic analytics visualizations using Recharts
• Cryptographically secured dynamic link generation (HMAC)
• Role-based authentication & secure API routes
• Automated priority tagging for critical issues
• Global state management with React Context
• Responsive design with dark mode support
• Production-ready feedback management system
• Integrated AI classification pipeline
• Interactive analytics dashboard
• Secure authentication system
• RESTful API documentation
• Scalable database schema
• Responsive administrative interface
• Seamless CRUD operations for feedback items