Does AI make UX research more accessible — or offer a cheap illusion? (artificial intelligence; user experience)
AI is revolutionising UX research — but perhaps not in the way we might first expect. While more and more tools promise fast, affordable solutions, genuine understanding remains a human task. The question is not whether AI will replace researchers, but whether it can help us understand people more deeply. (artificial intelligence; user experience)
The rapid development of AI is transforming UX research too. But does it truly democratise research, or simply offer a quick, cheap illusion? (artificial intelligence) (user experience)
TL;DR (If you don’t have time to read)
AI democratises UX research, but it does not replace people. The real question is not ‘will AI replace researchers?’, but how they can work together in a smarter, more effective UX research ecosystem. (artificial intelligence) (user experience)
Why is democratising research a good thing?
Because it gives not only researchers but other team members access to user insights, supporting more empathetic decision-making.
What are the risks of AI research? (artificial intelligence)
AI models often rely on statistical averages, which can skew results, especially for specialist target groups. (artificial intelligence)
Can AI replace researchers? (artificial intelligence)
No. AI helps with routine tasks, but human empathy, sensitivity to context and strategic thinking are irreplaceable. (artificial intelligence)
What are synthetic personas?
They are AI models trained on a particular target group, providing fast but not necessarily in-depth feedback. (artificial intelligence)
AI is changing the world of research (artificial intelligence)
The rapid development of AI is transforming UX research too. A growing number of tools can provide basic UX feedback, analyse prototypes or even run synthetic ‘user tests’. This raises an intriguing question: could AI make UX research more widely accessible? (artificial intelligence) (user experience)
Why is research becoming more accessible now?
Previously, UX research and usability testing were too expensive or time-consuming for many businesses. AI, however, can provide basic feedback on a new website, form or app quickly and affordably. This means that teams that previously had no opportunity to conduct UX research can now receive guidance. (user experience) (artificial intelligence)
‘Just as Figma democratised design… AI tools are democratising research.’ (Shrey Khokhra, Userology) (artificial intelligence)
What are the risks of AI research? (artificial intelligence)
Skipping UX research and replacing it entirely with AI presents both an opportunity and a risk. (user experience) (artificial intelligence)
AI-generated feedback is often generic: it is based on statistical averages and does not reflect real people’s real feelings. AI models are not yet able to represent more specific target groups well — for example, users defined by their profession, life circumstances or culture — because they have not been trained to do so. (artificial intelligence)
What AI provides is fast but only approximate feedback, rather than deep understanding. It is therefore worth considering the scale of the decision being based on this data, and the business risk that follows. The greater the impact of a decision, the stronger the case for research with real users. (artificial intelligence)
Middle-ground solutions: synthetic personas
There are middle-ground solutions, too: for example, creating data-driven synthetic personas — AI models trained specifically for a particular target group. They can provide feedback more frequently and quickly, but creating them requires effort, so they are worthwhile when used regularly. (artificial intelligence)
With synthetic personas, there is a further risk: their ‘knowledge’ is based partly on the language model’s general training data and partly on a targeted, specialist dataset. It is difficult to determine how much a particular response draws on one or the other — which may affect the accuracy of the results.
‘Democratising’ research within the organisation
UX research is becoming more accessible not only because more companies can use it, but also because other departments within larger organisations — product teams, marketers and customer service teams — can more easily conduct research themselves and access research findings. (user experience)
‘Democratising research means enabling anyone across the organisation to responsibly conduct research, consume user insights and act on them.’ (UX Army blog, 2024) (user experience)
As a result, understanding of and empathy for customers can develop more easily within the organisation.
‘The closer people are to the user, the stronger their empathy towards them.’ (LogRocket blog, 2023)
The role of researchers is not disappearing — it is changing
The role of UX researchers is not disappearing — it is changing. The real value of the work lies not in producing questionnaires or test scripts, but in thinking, recognising patterns and interpreting human behaviour. (user experience)
Artificial intelligence helps with routine tasks, but empathy, strategic thinking and understanding context remain human responsibilities. Researchers have an increasingly important role in ensuring that generated insights are genuinely embedded in decisions. As research findings become accessible to everyone — or at least many people — within an organisation, researchers must also support the organisation in processing, interpreting and incorporating them into day-to-day work.
The researcher’s role therefore grows in helping to establish and strengthen a customer-centric culture within the company. In this way, AI opens up new opportunities. (artificial intelligence)
Sources
The author is Tamás Lichter, Managing Director of Works.