Why Survey Experience Matters for Better Data in Market Research

When conversations about data quality come up in market research today, one topic tends to dominate: fraud.

Bots, organized fraud, lazy respondents, and AI-generated survey responses have understandably become major concerns for the industry. Ensuring that responses come from real people is now a top priority.

But there is another dimension of data quality that often gets overlooked. Even when responses are coming from real people, that does not automatically mean we are getting good data.

The reason for that is the survey experience itself.

When participants feel frustrated, rushed, or disengaged, survey engagement drops, and so does the quality of the insights researchers collect.

Surveys haven’t evolved as much as we think

Despite all the advances in technology, the basic survey format hasn’t changed very much over the years. As Phil Sutcliffe, Managing Partner of Nexxt Intelligence | inca points out: “The basic survey format is the same as it was over 20 years ago.”

Rows of questions, rating scales, and long grids remain the dominant formats. Meanwhile, the rest of the digital world has moved toward interactive, personalized, and conversational experiences.

Part of the reason surveys haven’t evolved much is the industry’s focus on efficiency. Over time, research processes have been optimized for speed and cost. But that shift has come with trade-offs. 

“The dominant trend in market research… is the triumph of quicker and cheaper over better,” says Phil.

When surveys are designed primarily to be quick to build and fast to field, the participant experience can easily become an afterthought. And when the survey experience is poor, it directly affects survey engagement and the quality of responses researchers receive.

Participants are the most important resource in research

At the center of every study are the people answering the questions.

They are the source of the insights that inform strategy, product development, and business decisions. Yet too often they are treated simply as a commodity within the research process.

Phil puts it clearly: “The most important resource for us as market researchers is our participants… but they’re not valued as the most important resource at all.”

When participants feel like they are simply clicking through endless questions, it’s not surprising that responses become rushed or disengaged. And when engagement drops, so does data quality.

This is where lessons from qualitative research can be valuable. Qualitative researchers place strong emphasis on engagement, empathy, and conversation.

“Engagement is a core research skill… qualitative researchers think deeply about how people experience the research process,” says Phil.

Applying those same principles to surveys can significantly improve how participants interact with research. Conversational AI tools enable this shift. For example, inca SmartProbe feature uses neuro-symbolic AI. This combines the intuitive language generation of large language models with structured reasoning to generate probing questions that follow established market research best practices. Unlike generic AI probing, inca SmartProbe is designed specifically for research contexts: it avoids leading questions, avoids asking multiple questions at once, follows ethical guidelines, and can be guided by researchers to align with specific study objectives. The result is more thoughtful, elaborated responses from participants and richer insight from open-ended questions, helping researchers capture deeper motivations and context at scale.

Better Experiences Lead to Better Data

Fraud detection and quality checks will always have a role in research. They help identify participants who are misrepresenting themselves or not putting in effort.

But, these tools alone cannot guarantee high-quality insights. Real data quality starts earlier — with the way surveys are designed and experienced.

When surveys are designed as engaging experiences, thoughtful and respectful of participants’ time, people are far more likely to provide meaningful responses. They think more carefully about their answers and share deeper perspectives.

Improving the survey experience also helps address a broader industry challenge: why survey response rates are dropping across many research studies.

This is why a new generation of research platforms is beginning to rethink the survey experience entirely — placing participants first while giving researchers the flexibility to pursue deeper insight.

At Nexxt Intelligence, this philosophy shapes the design of the inca conversational research platform. inca puts participants first by creating engaging, conversational surveys shaped by their voices — not constrained by preset choices.

At the same time, it remains researcher-centered: AI guided by researchers to meet research objectives, within a platform designed by researchers for researchers.

Good research isn’t just about asking questions. It’s also about creating experiences that people actually want to participate in.