Broader updates on what I’ve been exploring, building and learning, with summaries of recent progress, key takeaways and what I’m focusing on next.
Tools, prototypes and experiments I’ve created, tested or explored to understand how AI can support UX research. This includes hands-on trials of new tools, things I’ve built myself, and reflections on where they’re useful, limited or worth integrating into a research workflow.
Conversations with UX researchers I’ve personally interviewed about how they’re integrating AI into their research workflows, practices, and roles.
How AI is reshaping the role of UX researchers, from the skills they need and the tasks they own to how they collaborate, make decisions, and demonstrate their value. This includes the shift from traditional research execution toward more strategic, AI-enabled ways of working, as well as questions around where human judgment, expertise, and researcher identity fit as the field evolves.
Resources showing how AI, automations and agents can streamline research tasks, connect tools and improve research workflows.
Resources about analysing, interpreting and synthesising research data, including coding, thematic analysis, insight generation and evidence synthesis.
Resources focused on planning, conducting and synthesising secondary research, including academic papers, industry articles and evidence reviews.
Ready-to-use prompts for AI tools that help with UX research, analysis, writing, synthesis, automation and related workflows.
