Kollect Voice Agent

Product Introduction

1. Definition: Kollect Voice Agent is an open-source, AI-powered conversational survey platform that dynamically transforms static forms into real-time voice interactions. Technically categorized as a voice-enabled data collection tool, it leverages automatic speech recognition (ASR) and natural language processing (NLP) to replace manual form-filling.
2. Core Value Proposition: It eliminates survey fatigue by enabling frictionless, voice-driven feedback collection, boosting completion rates while prioritizing data privacy through self-hostable architecture. Primary keywords: AI voice surveys, conversational forms, privacy-first feedback tool.

Main Features

1. Adaptive Voice Conversations:
   • How it works: The AI dynamically generates follow-up questions based on vocal responses using real-time sentiment analysis. Built with TypeScript for type safety, it employs Web Speech API for browser-based speech-to-text conversion and custom NLP models for contextual understanding.
2. AI Form Generator:
   • How it works: Users describe survey requirements in natural language (e.g., "Create a customer feedback form with rating and open-ended questions"). The AI parses requests into structured forms with optimized question types (multiple-choice, email, date) using transformer-based language models.
3. Self-Hostable Deployment:
   • How it works: Supports Docker/Kubernetes deployment on private infrastructure (AWS, Azure, GCP). Data never leaves user-controlled servers, with end-to-end encryption. Built on Node.js backend and React frontend for modular customization.
4. Drag-and-Drop Builder:
   • How it works: Visual editor with pre-built blocks (short answer, rating scales) for manual form creation. Integrates with AI generator for automatic field population based on voice inputs.

Problems Solved

1. Pain Point: Addresses low survey completion rates (up to 70% abandonment in traditional forms) by reducing typing effort and cognitive load through voice-first interaction.
2. Target Audience:
   • Market researchers needing high-engagement feedback loops
   • Product managers collecting user experience insights
   • Healthcare/HR teams conducting accessible patient/employee surveys
   • Privacy-conscious enterprises (GDPR/CCPA compliance)
3. Use Cases:
   • Real-time customer satisfaction surveys via website embeds
   • Voice-based patient intake forms in clinics
   • Secure employee feedback collection for internal HR

Unique Advantages

1. Differentiation: Unlike Typeform or SurveyMonkey, Kollect uses adaptive voice dialogues instead of static Q&A. Outperforms chatbot tools by processing vocal nuances and skipping irrelevant questions dynamically.
2. Key Innovation: Patented context-aware question routing – the AI omits redundant questions based on prior responses (e.g., skips "dissatisfaction details" if a user says "very satisfied").

Frequently Asked Questions (FAQ)

1. How does Kollect Voice Agent ensure data privacy?
   Kollect uses self-hosted deployment where all voice data and responses remain on your servers, with optional end-to-end encryption and zero third-party data sharing.
2. Can Kollect integrate with existing CRM or analytics tools?
   Yes, it offers webhook triggers and API endpoints to sync survey data with platforms like Salesforce, Google Sheets, or custom databases.
3. What languages does the voice agent support?
   Currently optimized for English with experimental multilingual support via Mozilla DeepSpeech ASR models.
4. Is coding knowledge required to self-host Kollect?
   Basic DevOps skills are needed for server setup, but pre-configured Docker containers simplify deployment. The MIT-licensed codebase allows full customization.
5. How does Kollect improve survey completion rates?
   By replacing typing with natural speech and dynamically shortening surveys based on responses, it achieves 3x higher completion versus text-based forms.