The hype around synthetic data – AI-generated substitutes for “real” responses – has swept across the market research industry, to some controversy. It’s positioned as the answer to long-standing problems: slow data collection, high costs, and declining response rates. But in reality, the hype surrounding synthetic data is a symptom of a different issue – an industry that simply hasn’t evolved fast enough.
Traditional market research doesn’t need to be replaced by artificial data; which has it’s own deep and fundamental problems in my opinion. It needs to update its methods. The challenge isn’t that people’s opinions have become inaccessible; it’s that we’ve been asking for them in outdated ways.
That’s where what we’re doing at PollStream comes in. Rather than treating data collection as the source of value, PollStream runs on an always-on model, capturing attitudes from verified-humans, in real time.
This continuous source of feedback means we no longer have to wait weeks before analysis begins. Insights can emerge as behaviour and sentiment evolve – not months later, when they’re already stale.
The real opportunity lies not in fabricating data in the black box of an LLM, but in reimagining what we can do with the genuine data we already have.
The future of market research depends on moving away from treating data as a commodity; and instead, focusing on what it means.
Data today is abundant. The real value comes from interpretation: identifying patterns, understanding nuance, and turning information into insight. That’s where human expertise – supported by adaptive technology – outperforms automation, every time.
Synthetic data might appear faster, cleaner, and more scalable. But if it’s not grounded in real human experience, and risks producing insights that are plausible, yet wrong. The marketing manager’s confirmation bias. The supporting a legislator’s existing beliefs. Sticking with the status quo. It’s a shortcut to something that looks like truth – but isn’t, and never will be.
Synthetic data is solving a problem that doesn’t really need to exist.
The smarter route forward is evolution, not replacement. By making data collection easier, continuous, dynamic, and context-aware, the industry can elevate the role of analysis and insight. The market research industry can put the synthetic data debate to bed – it just needs to raise its game.
Author: Mike Turner – Co-Founder & CEO