If you ask me to show you the work I’m proudest of, there’s a good chance I’d show you a research report. Not all researchers love writing reports, but many do. Yet this is at odds with where the industry is going: faster product cycles, less formal
I wrote the first version of this a decade ago, but it’s something I keep referring back to when I’m coaching people on productivity and time management. Personal productivity is a skill, not a personality trait Work throws a lot of stuff at us. Tasks, meetings, emails, Slack
Years of observing real users give researchers a sixth sense for what will (and won’t) work.
ChatGPT deep research has been out for a couple of months now. What is it good for and what are its limitations? What is deep research? As the OpenAI website explains: Deep research is OpenAI's next agent that can do work for you independently—you give it a
In a world with design systems and AI that can create fully-functioning apps in minutes, why would anyone bother with mid-fidelity design? I argue that mid-fidelity is too easily overlooked. For certain stages of the design process, it offers a sweet spot between low and high-fidelity which allows you to
I went on a leadership training course a few years ago and in the breaks, they taught us to juggle. At first, I thought it was just a bit of fun, but it turned out to be one of the best demonstrations of how people learn that I’ve seen.
The most common blindspot that UX researchers have is how they’re communicating the insights they’ve discovered. Too many people struggle to present their findings in a compelling way. They write reports that lack impact because they: * Don’t link what has been found back to the business challenge.
Coding is the area in which AI is having the biggest immediate impact. 63% of professional developers use it (and that’s data from May 2024). There are two types of tools emerging: 1. AI coding assistants Tools like GitHub Copilot, Cline and Cursor support developers in their day-to-day work,
Imagine you’re working on a project with two colleagues. One is a seasoned expert, the other is just starting out. Both have access to the same AI tools. Who do you think would benefit more? A couple of articles I’ve read recently suggest that it’s the more
I recently finished a project where I used AI to write 90% of the copy for my mid-fidelity concepts and prototype. In the ‘olden days’ of 2 years ago, you’d have to write all of the copy in your designs yourself, or resort to lorem ipsum. But what if
The vast majority of qual UX research is one-to-one. But in reality, many products and services aren’t bought or used by just one person: it’s a couple making the decision. Just consider the data: * 71% of holiday bookings are made by couple or families * Partner influence is the
Welcome to my new website and the very first issue of Desk Notes! I’ve been writing on LinkedIn for the past few years, sharing thoughts on research, design, leadership and career development. But LinkedIn has its limitations - posts disappear over time and while brevity is great, sometimes you