Synthetic respondents and digital twins are already being used to simulate real consumers and, in some cases, replace the people who would have traditionally been recruited for research. The pitch is easy to understand: faster, cheaper, available on demand.
But there’s a bigger question: What gets lost when research stops being human?
Can Synthetic Respondents Replace Real People in Qualitative Research?
A synthetic respondent can sound like your target audience. It can reflect known behaviors, attitudes, and patterns. But there's still an issue. People are notoriously unpredictable. We change our minds, contradict ourselves, and make decisions that don’t match what we said we would do.
That unpredictability is part of what makes talking to real people so valuable.
A synthetic respondent can model what someone might say or do. But there is no lived experience behind the response... no person actually made that choice, encountered that problem, or felt that frustration.
If the goal of qualitative research is to understand real people, that matters.
What Do We Risk When We Remove the Human?
Insights without a lived experience behind them.
If a finding can't be traced back to a real person, what exactly is it evidence of?
Predicting the past instead of discovering what's next.
Synthetic respondents are built from existing data and known patterns. But people are notoriously unpredictable. Qualitative research gives us the chance to uncover what has changed, what doesn't fit the pattern, and what we didn't know to look for.
Losing confidence in where the insight came from.
Researchers should be able to explain who participated, how they were recruited, and why their experiences are relevant to the research. The Insights Association's guidance on synthetic data also reinforces the importance of transparency around whether findings come from human participants, synthetic participants, digital twins, or a combination.
Missing the moments you couldn't predict.
The hesitation, contradiction, unexpected answer, or follow-up question that wasn't in the discussion guide... These are often the moments that lead somewhere new.
Trust.
Ultimately, researchers have to stand behind their findings. When decisions are being made based on those insights, knowing there was a real person and a real experience behind them matters.
Human Recruitment Matters More Than Ever
AI hasn’t only introduced synthetic respondents. It has also made it easier for fraud, scammers, and AI-assisted responses to make their way into research that is supposed to be human.
That makes qualitative research recruitment, and who you partner with for that recruiting, more important than ever. An experienced recruitment partner adds a layer of human oversight throughout the process. They know how to vet participants, spot inconsistencies and red flags, verify qualifications, and identify when something simply doesn’t add up.
Industry guidance around online research quality similarly emphasizes participant validation, fraud prevention, screening, and transparency. ESOMAR's guidance on online sample quality outlines many of these safeguards.
Technology can help detect fraud, but experienced recruiters bring something else to the process: judgment. Researchers should be able to feel confident that the person who shows up is the person who was recruited, genuinely qualifies for the study, and has the real experience they’re there to talk about.
If you’re investing in research to hear from real people, your recruitment process should help make sure that’s who you get.
Does AI Have a Place in Qualitative Research?
Absolutely. AI can make research faster and more efficient. It can support transcription, translation, analysis, organization, and plenty of other work happening around the research.
The distinction is where we use it. Using AI to support researchers is very different from using AI to replace the people we're trying to understand.
Fieldwork's approach to AI in market research is centered on that distinction: using technology where it can support the work while maintaining human oversight and protecting research quality.
Keep Research Human
AI will get better, synthetic respondents will get more convincing, and digital twins will more closely resemble the people they're designed to replicate. But no matter how good artificial gets, it's still artificial. No matter how closely a synthetic respondent mimics a real respondent, it's still synthetic.
Technology can make research better. But if the goal is to understand real people, we believe there's still no substitute for talking to them.
And when you're ready to find those people, Fieldwork can help you start your research.
