Guide
A UX researcher’s guide to the AI-driven product development process
How research teams can adapt their work, increase their influence, and lead in the new AI-accelerated product operating model
Everyone knows that AI is changing the role of UX researchers. But within the UXR community, most of the discussion is focused on how researchers can use AI to be more productive. That’s important, but it’s not the full picture. AI is also dramatically transforming the entire product development world in which UXR teams operate.
This is both an opportunity and a challenge for UXR teams. The opportunity is that they can use this transition to make themselves much more mission-critical and strategic, a goal that many researchers have aspired to for years. The challenge is that the old UXR model of big projects and long dev cycles is becoming less and less relevant as AI-driven development spreads. UXR teams could become less relevant along with it.
To thrive in the new AI-driven operating model, UXR teams need to do the following:
- Make discovery continuous and ubiquitous
- Scale/democratize tactical validative testing
- Support the acceleration of product-related marketing and sales
- Focus on adoptability
This document gives details on how to position your team to thrive in the new world.
