You can feel the buzz of excitement when the topic of AI moderators and synthetic respondents in market research is broached. Think of the flood of possibilities that open up when utilizing AI tools in market research. Not only can AI lead or participate in research, but it can also analyze it.
AI-built personas can be assigned certain characteristics for the technology to consider when answering a question. For instance, we could generate an AI persona based on social information, political views, age, location, and lifestyle, and then pose questions to that persona to collect quantitative data (as illustrated in this video by Altair).
Although synthetic participants and AI moderators might be faster and less expensive than human-based alternatives, there are several shortcomings to solely using AI in market research.
Qualitative Depth in AI Respondents
In quantitative accuracy and related topics, synthetic respondents have an impressive 85%-95% match for behavioral patterns. Qualitative depth, however, shows a far weaker correlation. Human respondents provide authentic experience, emotion, and nuance, whereas synthetic respondents currently deliver only 60–80% surface-level insight. AI participants often provide predictable answers and are unable to offer responses rooted in layers of experience and emotion.
Capturing emotion in market research is often critical. For example, in a focus group for legal research, both sides often want to know what the mock jurors’ emotional reactions were to specific pieces of case evidence. Emotions such as disgust, anger, or a strong sense of justice can motivate the awarding of punitive damages, and knowing which elements of a case trigger those reactions is essential to both sides.
AI Moderators and Reading Nonverbal Cues
Continuing the example of a legal focus group, AI moderators can be incredibly helpful in asking questions and collecting data. Even so, there are moments when an AI moderator requires human guidance to fully interpret nonverbal cues, such as hesitation before speaking, a shift of the eyes, or other telling body language.
Consider the following scenario:
A pharmaceutical company is researching its newest weight-loss product to evaluate customer response to the surrounding messaging. One participant appears supportive of the product, suggesting that it could inspire many people who are struggling to lose weight and become their best selves. The AI moderator interprets this as a positive response to the messaging. It does not, however, register the catch in the participant’s voice as he emphasizes the word “could.” A seasoned human moderator would recognize this cue and ask several follow-up questions, perhaps noting the emphasis on “could” and inviting the participant to share additional thoughts.
The respondent might then explain that he was once obese and had struggled for years to lose weight. He could describe how, during that period, messaging similar to the product’s would have felt more discouraging than inspiring. This insight reshaped the entire takeaway from the research. Because of the moderator’s probing, the participant felt comfortable revealing how different types of messaging affected him while he worked to feel at ease in his body. Such a candid human account would inform how the company reshapes its messaging to be genuinely positive and inspiring.
Trust Begets Truth
Often, market research requires sensitive questions in order to elicit authentic answers. Participants are frequently more forthcoming when a degree of trust has been established with the moderator, and it is more difficult to build trust with an AI tool than with a human. Skilled human moderators know how to connect with others and when to prompt further comments or allow a moment of silence to give a hesitant participant the space to speak. As trust is built between the moderator and participant, room opens for further vulnerability, ensuring that the research results are truthful and telling.
Conclusion
AI certainly has its place in market research, and this is not an argument against its use. It is, rather, a recognition of the value of the human, the authentic, and the real. Each person is uniquely formed by their experiences, location, social circles, values, and so on. We connect with one another in ways that cannot be perfectly replicated by machines. For this reason, AI tools in market research will always need a human touch.
If you are looking to host a market research project, reach out to the Ridgeline Recruiting team to secure a panel suited to your specific needs.
Sources:
https://cleverx.com/blog/what-are-synthetic-respondents-2026-market-research-guide
https://www.pymc-labs.com/blog-posts/synthetic-consumers-a-practical-guide
