BLOG: FUTURE OF UX & AI 

AI isn’t here to replace us - it’s here to extend what we can do. In enterprise UX, the real opportunity lies in augmentation, not automation. This post explores how AI can enhance designers’ judgment, creativity, and efficiency - turning teams into faster, sharper versions of themselves without losing the human touch that defines great design.

Once AI helps you cluster research insights, the next step is connecting the dots. In Part 1B of the Mentoring AI series, learn how to coach AI to create realistic personas, simulate user flows, and build first-pass journey maps. Discover how thoughtful prompting turns AI from an assistant into a design partner—while you remain the lead shaping empathy and meaning.

AI can’t replace real users but it can accelerate the early stages of UX research. In Part 1A of the Mentoring AI series, learn how to guide AI from raw interview transcripts to clustered insights. Discover how thoughtful prompting and design leadership turn AI into a research intern... speeding up synthesis while keeping human nuance at the center.

Tested the Howuku AI Heatmap for UX research. It’s fast and free for a quick checks, but many sites block analysis and the tool has stopped new sign-ups. A scrappy option, not a deep analytics solution.

English-friendly designs often break when translated. With AI, you can preview multilingual text expansion mid-sprint, catch layout issues early, and build global-ready UX before handoff.

Prompting isn’t a side skill... it’s design in a new language. In enterprise UX, prompts act like interfaces: shaping intent, guiding outputs, and demanding clarity. This post explores why prompting is central to AI-era UX and how teams can adapt with shared libraries, governance, and a new design fluency.

Most problem statements in enterprise UX are framed only one way... and that creates blind spots. In this Ready, Set, UX! post, discover how AI can reframe a single problem statement through user, tech, and business lenses to save time, surface hidden insights, and align stakeholders from the start.

AI won’t give you enterprise-ready critique unless you prompt it like a design lead. In this post, I show how a generic prompt led to fluffy feedback and how reframing with a task, role, context, constraints, and format transformed AI into a real critique partner. Think of it as mentoring a junior designer: guide the process, and the output levels up.

Can AI really cut hours of note-taking in UX research? I tested the KomeAI YouTube Transcript Generator to see if it could turn long user interviews into instant transcripts.