AI-moderated interviews are an emerging research tool where an AI agent interviews human participants at scale by interacting with them in real time and facilitating the conversation based on their responses. AI moderators help teams collect qualitative insights at scale, lower language and time zone barriers in global research, and enrich surveys by combining the structure and scalability of surveys with the flexibility of conversational follow-up. 

For my latest report Meet Your New Research Partner: AI Moderators, I spoke with vendors and researchers to better understand how AI-moderated interviews work, where they are most effective, and what best practices and pitfalls teams should consider.  

Here are three key takeaways: 

  • AI-moderated interviews are not a replacement for in-depth research. AI moderators interview large numbers of participants simultaneously, enabling teams to reach more participants faster by reducing manual effort. AI-moderated interviews are best suited for short conversations (typically under 30 minutes) that provide quick, directional insights.  Longer interactions with AI can be tiring for participants, and the technology as of today tends to perform best in focused exchanges.  
  • Recruitment still matters. If you’re not recruiting the right audience, you will scale the wrong insights.  Many vendors provide participant panels — either proprietary ones or through partnerships — and you should follow recruitment best practices, such as inclusive recruitment and strong screener questions, to reach the right audience. Being interviewed by an AI will be a new experience for most participants, so start managing expectations from the recruitment stage. Screen participants for their willingness to participate in AI-moderated conversations and describe what the interaction will be like. 
  • AI moderation technology is improving fast. AI moderators vary across modality and level of autonomy. Modalities are expanding from text-based interactions to multimodal experiences that support voice, mixed-method questions (e.g., an open-ended question followed by a rating scale), and interpretation of visual stimuli (e.g., screen sharing and facial expressions).  In terms of autonomy, some AI moderation tools require detailed discussion guides, while others can act on research goals and play a more active role in shaping the study within defined guardrails. 

Think of AI moderators as an addition to your research toolbox. AI and human moderators both have strengths and limitations. For example, while AI moderators are perceived as nonjudgmental and can encourage openness on sensitive topics, human interviewers can better interpret emotional nuance. The key is to understand these trade-offs well and choose the right approach for your research.  

Read the full report to learn more about AI-moderated interviews and best practices. 

Let’s Connect 

If you’d like to learn more about AI moderators or if you’ve used AI moderators and want to share your experience, let’s talk! Set up a conversation with me. You can also follow or connect with me on LinkedIn if you’d like. 

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