PERSPECTIVES

Impact of Generative AI

On market research, as seen and experienced by researchers

Kathy Cheng Kathy Cheng

Why AI-Moderated Surveys are a Qualitative Opportunity

Traditional surveys? They’re overdue for reinvention. Data quality is slipping, participants are disengaged, and rigid formats no longer reflect how people actually express themselves today. With qual-infused-quant, we can bring back what was missing all along—empathy, rapport, and human connection. Discover how adding a qualitative dimension can transform quantitative research into something more engaging, enabling, and exploratory.

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Kathy Cheng Kathy Cheng

Why Bad Survey Data Is a Design Problem, Not a Respondent Problem

Many surveys blame “bad respondents” for low-quality data, but the real issue often lies in the experience itself. This article explores how shifting from rigid, traditional survey formats to more human-centered, conversational approaches can improve engagement — and ultimately lead to richer, more reliable insights.

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Kathy Cheng Kathy Cheng

The Limits of Synthetic Data in Market Research

Synthetic data can speed up research and cut costs, but it still falls short of capturing the nuance, trustworthiness, and real human insight that traditional data from real respondents provides. Discover why market researchers argue that synthetic data should complement — not replace — human‑sourced data for truly reliable results.

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Kathy Cheng Kathy Cheng

Why Survey Experience Matters for Better Data in Market Research

A great survey experience isn’t just nicer for participants — it directly improves data quality by keeping respondents engaged, thoughtful, and less likely to rush through questions. Learn why focusing on participant experience leads to richer insights and more reliable research outcomes.

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