Eliciteer is an AI-powered platform designed to revolutionize the process of conducting qualitative interviews. By briefing the AI with specific information needs, users can distribute unique interview links to participants, who can respond at their convenience without the need for scheduling. The AI dynamically adapts during the interview, asking follow-up questions to clarify vague responses and exploring unexpected insights, ensuring comprehensive and structured data collection. This approach significantly reduces the time and cost associated with traditional interviews, enabling organizations to gather deep, qualitative insights at scale. Key Features: - AI Follow-Up Questions: The AI probes deeper when answers are vague and explores new threads like a skilled interviewer. - Asynchronous Interviews: Participants can respond at their convenience from any device, eliminating the need for scheduling. - Structured Insights: Each interview is automatically summarized into actionable, structured data. - Custom Briefings: Users can set context, goals, personas, and specific angles to explore during the interviews. - Webhook Integrations: Seamless integration with tools like n8n, Make.com, Zapier, or any webhook-capable platform. Primary Value and Solutions: Eliciteer addresses common challenges in qualitative research by eliminating form and survey fatigue, reducing meeting overload, and scaling qualitative research efforts. Traditional methods often suffer from high abandonment rates, scheduling bottlenecks, and limited scalability. Eliciteer overcomes these issues by providing an adaptive, AI-driven interview process that ensures higher completion rates, significant cost reductions, and the ability to conduct hundreds of simultaneous interviews without increasing complexity. This empowers organizations to efficiently gather in-depth insights for user research, requirements engineering, HR screening, market research, and enterprise knowledge capture.