Transform Qualitative Research with AI-Powered Interviews

Eliciteer is an autonomous AI agent that conducts in-depth qualitative interviews on your behalf, eliminating the scheduling bottleneck and scaling research that traditionally doesn't scale. Instead of static surveys or time-consuming one-on-one meetings, Eliciteer adapts in real-time like a skilled human interviewer—asking follow-up questions when answers are vague, probing deeper when important themes emerge, and pivoting to explore unexpected insights.

Key Features & Capabilities

• Adaptive AI Interviewing: The AI doesn't just collect responses—it actively engages participants with intelligent follow-up questions, ensuring you get complete, nuanced answers rather than superficial data
• Asynchronous at Scale: Run hundreds of simultaneous interviews without scheduling conflicts. Participants respond on their own time from any device, dramatically increasing completion rates (3-4x higher than traditional methods)
• Structured Insights Delivery: Every interview is automatically summarized into actionable, structured data you can use immediately—no manual analysis of hundreds of responses
• Custom Briefings: Fine-tune the interview process with detailed briefs, custom AI personas, and specific research angles
• Webhook Integrations: Connect seamlessly to n8n, Make.com, Zapier, or any webhook-compatible platform to pipe results directly into your existing workflow

Who It's For & What Problems It Solves

Eliciteer is built for product teams, user researchers, HR departments, market analysts, and anyone who needs deep qualitative insights but faces the limitations of traditional methods. It solves three critical problems: survey fatigue (68% abandonment rate with static forms), meeting overload (knowledge workers average 62 meetings/month), and the inability to scale traditional qualitative research (which typically costs $150+ per interview and limits you to a handful of participants).

Typical Use Cases

• User Research & Feedback: Understand user pain points, workflows, and needs at scale
• Requirements Engineering: Elicit detailed stakeholder requirements asynchronously with zero missed details
• HR Screening: Conduct consistent, structured candidate interviews before involving recruiters
• Market Research: Validate product ideas with qualitative depth at quantitative scale
• Knowledge Capture: Document institutional expertise and processes before key employees leave

With reported outcomes including 72% cost reduction versus traditional research and 31+ hours saved per employee monthly, Eliciteer represents a paradigm shift from static data collection to adaptive, intelligent information gathering.