It began with a simple, powerful LinkedIn post by Urooj: a raw provocation about the evolving role of user research.
He asked, what happens to traditional user research in a world where behavioural data is available instantly and at scale? What role do researchers play when insights are continuous, unfiltered, and possibly even less biased than before?
Important questions. Timely ones.
This brought to the fore a question I’ve also been quietly working with for some time – one that Urooj’s post helped bring into even sharper focus: If behavioural insights are becoming ambient, automatic, and real-time, what then is the future of user research?
That, to me, is the heart of the matter. And it’s the question that this piece tries to wrestle with.
We went back and forth on this, in the comments and in our own heads, and it sparked a lot of deeper thoughts.
Here’s what I believe: we’re witnessing not just a shift, but a quiet revolution in the meaning, purpose, and practice of user research. And it’s being driven by AI – not just as a tool, but as a fundamental reordering of how we understand behaviour, decision-making, and human complexity.
For decades, the role of the user researcher was built on a simple but profound promise: if you study people carefully enough, they will tell you what to build. We relied on interviews, usability tests, ethnographic notes, survey data. We triangulated truth. We validated assumptions. We designed with empathy.
But in a world where AI models are surfacing behavioural patterns faster than we can interpret them, where context-aware systems are reading emotions in real time, and where every swipe, scroll, pause, and purchase becomes a data point – the old tools begin to look quaint. The world doesn’t need researchers to gather data anymore. It’s already being gathered, interpreted, and acted upon at scale.
So yes, I agree with Urooj’s follow-up observation: the industry will likely need a smaller number of traditional user researchers. Especially those whose primary work is data collection, usability testing, or reporting on what people do. That part of the work is being absorbed by machines, sensors, and increasingly intelligent systems.
But, having said that, I don’t believe we’ll need fewer people who do the work of research. Quite the opposite. We’ll need more people who can make sense of what AI surfaces but doesn’t yet understand. We’ll need researchers who don’t just document behaviour, but ask why it matters. We’ll need interpreters of nuance, ambiguity, cultural friction – the kinds of things that don’t show up cleanly in dashboards or transcripts.
The future of research, I would contend, is not in the extraction of insights. It’s in the interpretation of meaning. Not in the what, but the why. And that is a profoundly human skill.
This is where the role of the user researcher, as I see it, shifts even more prominently from collector to sensemaker. From technician to translator. From UX support to strategic voice. The researcher of tomorrow may not always carry the same title. But their fingerprints will be on the most important decisions an organization makes – about what to build, who to serve, and what values to honour in the process.
What does this new user researcher look like?
They are hybrid by design. Equally fluent in ethics and AI, systems thinking and storytelling, behavioural science and business strategy. They understand that data never exists in a vacuum. That the context around a decision matters just as much as the signal driving it.
They are, in many ways, stewards of complexity. They hold space for uncertainty. They understand that people don’t always behave logically, and that logic is not always what we need to build for. They know that what matters most is often what is hardest to measure: trust, emotion, perception, pain, hope.
That’s why, to me, this moment is not a crisis for user research – it’s a reckoning. A chance to let go of the narrow definitions that have constrained the field and embrace a more expansive, strategic, and multidisciplinary role. But doing so will require courage. Courage to reimagine job descriptions. Courage to build new skills. Courage to let go of the comfort that comes with being the expert in familiar tools.
It also requires a deeper question: are we designing for data, or are we still designing for people?
Because there is a growing risk, as I see it, that in the rush to instrument everything – to optimize, to personalize, to automate – we lose sight of the human beings behind the behaviour. We begin designing for patterns, not people. For signals, not stories. For efficiency, not empathy.
That’s the trap. And it’s one we can’t afford to fall into.
The role of the user researcher, then, becomes not just to interpret data, but to challenge it. To ask whose voices are missing. To surface lived experience. To question biases. To ensure we don’t lose the messy, emotional, beautifully unpredictable parts of what it means to be human – even as AI systems become better at approximating us.
The tech will keep evolving. Faster than any of us can fully anticipate. But our job is to stay human-centred, not just user-centred. There’s a subtle but important difference. “User” is a functional identity. “Human” is a moral one.
So no, the future isn’t about the disappearance of research. It’s about its transformation.
And the question that matters now is not will user researchers be needed? It’s what kind of researcher will you become?
This is the conversation Urooj started. One we all need to continue. Because the future of our field won’t be shaped by the tools we use – but by the questions we dare to ask.
And that, for now, remains a profoundly human act.