You’ve seen them everywhere lately—websites where objects rotate as you scroll, immersive product showcases that respond to your mouse movement, hero sections that feel alive. That’s 3D web design, and it’s no longer reserved for developers with years of experience or studios with massive budgets.
Today we’re introducing three new AI image editing tools that make precision editing faster, cleaner, and more intuitive—powering a more complete creative workflow in Figma.
You are working with a passionate founder. They want to build a product which they are super sure of; they have their pitch deck ready, investors are lined up, and they want to hit market in six months. All they need is a working product: an embodiment of their mission. As a product manager, you do the usual. In a short duration, you conjure up enough details to come up…
One AI workspace where the whole team is part of the creative process, customer research finally informs product strategy, and concepts come to life at lightning speed.
Most onboarding doesn’t fail because steps are unclear — it fails because workflow thinking ignores how people actually make decisions under uncertainty. Causal Chain Thinking uncovers the beliefs, emotions, and risks that drive or block progress. This lesson shows you how to design onboarding that builds confidence, reduces hesitation, and moves customers forward from the very first interaction.
Slow websites continue to be a problem and a lot of work is being done so developers can measure performance more effectively and fix performance issues.
Although, with the season’s first snowfall upon us here in New York, it may be time to admit that the picnic season is over. And as the year draws to a close, I can already hear hundreds of keyboards banging out takes on “UX trends to watch” or “the state of UX in 2026.”
I have some notes from various times I’ve thought about the idea of native CSS mixins so I figured I’d get ’em down on (digital) paper!
This year, we’re giving you new tools to sculpt a dynamic web.
Summary: Create better AI-prototyping designs by using precise visual keywords, references, analysis, as well as mock data and code snippets.
