What is Soniva?
Soniva is an innovative AI-powered voice survey platform that transforms traditional data collection into engaging, conversational interviews. By replacing static online forms with dynamic voice interactions, Soniva simplifies the survey process for both researchers and respondents. The platform leverages advanced natural language processing to conduct intelligent, adaptive conversations that feel natural and intuitive. Respondents can answer using their voice, making the experience faster and more accessible, while the AI automatically flags unusual or contradictory responses, refines unclear answers, and prompts for clarification. This ensures high-quality, reliable data without the need for human moderation.
Key features include real-time conflict detection, adaptive questioning, and seamless integration with existing survey tools. Soniva is ideal for market research, customer feedback, employee engagement, and academic studies. It significantly improves response rates and data accuracy by reducing survey fatigue and providing a more engaging user experience. Use cases include product concept testing, brand perception studies, and customer satisfaction surveys. Technical details: Soniva uses state-of-the-art speech recognition and natural language understanding models, supports multiple languages, and offers customizable survey logic. Data is encrypted and compliant with privacy regulations. The platform provides analytics dashboards with real-time insights and export options. Soniva is a cloud-based SaaS solution, requiring no installation, and works on any device with a microphone. Pricing is subscription-based with tiers for small teams, enterprises, and academic institutions. Start your free trial today and experience the future of voice surveys.
Use Cases
Key Features
voice based surveys AI powered conversations real time conflict detection adaptive questioning automatic response flagging seamless tool integration reduced survey fatigue improved data accuracyWho is it for?
market researchers, customer experience teams, HR professionals, academic researchers, product managers, brand strategists
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