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Development of an AI-Powered Feedback Platform with Real-Time Conversational Analysis

datarockets.com

Information technology

Business services

eCommerce

Limitations of Traditional Feedback Tools

Existing polling solutions restrict feedback depth through predefined answer formats, preventing organizations from capturing nuanced insights and contextual understanding from user interactions.

About the Client

Innovative AI startup focused on transforming organizational feedback mechanisms through conversational intelligence

Core Project Goals

Develop a working prototype within 4 weeks for market validation
Create adaptive AI-driven conversations with dynamic follow-up questions
Implement automated analysis of unstructured conversational data
Design an interactive dashboard for multi-level insights visualization

System Core Capabilities

Real-time adaptive conversational AI interviews
Automated sentiment and pattern analysis
Interactive dashboard with transcript-level and aggregated insights
Voice communication integration via API
Scalable summary generation for large conversation volumes

Technology Stack Requirements

Supabase

Next.js

React

TypeScript

Tailwind CSS

LangChain

OpenAI

Critical System Integrations

Vapi (voice communication)
LangSmith (AI prompt monitoring)
ElevenLabs (text-to-speech)

Operational Requirements

Support for 200+ concurrent conversations
Real-time processing with <500ms latency
HIPAA-compliant data handling
Auto-scaling architecture for sudden traffic spikes

Expected Business Outcomes

Enables organizations to capture 3x deeper insights compared to traditional surveys, with potential to increase user engagement through natural conversation interfaces while maintaining enterprise-grade data security and scalability.