
Why everyone’s talking about ‘taste’ as the next differentiator
Human expertise and judgment is making a comeback.
Human expertise and judgment is making a comeback.
If you’re thinking about how you can integrate AI into your research process, writing a first draft of a discussion guide is surely one of the most obvious places to start. * Writing a discussion guide usually takes several hours. * They follow a standard structure and set of guidelines. * AI
Why this type of question is flawed and what to ask instead.
It’s time to find out what those other researchers do.
We all want to create things that feel 'heavy'.
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,