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Agent Interviews: AI-Powered Research Platform for Qualitative Studies

Welcome to Agent Interviews, a sophisticated AI-powered research platform engineered for conducting qualitative interview studies and survey research at scale. Our system provides an end-to-end solution for professional market researchers and academic professionals, from designing intricate research protocols to real-time data capture and comprehensive qualitative analysis.

At its core, Agent Interviews operates on three fundamental pillars:

Research Project Orchestration​

The Project layer acts as the strategic control center for your qualitative research initiatives. It enables comprehensive context management, allowing you to ingest, organize, and leverage diverse knowledge sources to precisely scope and inform your AI-led research interactions and subsequent analytical tasks.

AI Research Agent Engine​

The Research Agent is a highly configurable AI interviewer designed for dynamic conversational engagement in research studies. Leverage its advanced capabilities:

  • Sophisticated Research Dialogue Management: Facilitate natural, context-aware research interactions with study participants.
  • Configurable Research Agent System: Define and deploy specific research interviewer personas, objectives, and behavioral parameters for each research agent (e.g., market research studies, user experience research, healthcare market research, qualitative research validation).
  • Intelligent Research Data Extraction: Employ integrated function-calling mechanisms for real-time identification, structuring, and persistence of critical research insights revealed during qualitative interviews.

Real-time Research Interview Execution​

The Research Interview component manages the live, interactive research session conducted by the AI Research Agent. This encompasses:

  • Seamless Voice Integration: Establish robust, low-latency voice channels for fluid research conversations.
  • High-Fidelity Research Transcription: Ensure accurate, real-time conversion of spoken language to text for qualitative analysis.
  • Stateful Research Session Management: Persistently track conversational flow, extracted research data, and evolving context throughout the qualitative research interview lifecycle.