Last month, I had the chance to attend CSS Day in Amsterdam, a two day event split between a “UI day” focusing on the intersection of design and development and a “CSS day”, with speakers who covered more in-depth, technical CSS subjects. The talks were as diverse as the background of the speakers themselves, but there was one common thread: In this era of rapid change, are we, as product people, equipped to design for automation, machine learning, and AI?

What does automation mean for designers?

It's hard to work on a product team that hasn’t automated some part of their workflow in the name of productivity. If machines can take care of the repeatable tasks and heavy lifting, designers can focus on doing more meaningful work. But how does this affect the way we use the work being created by machines?

Are we designing for users or ourselves?

People don't always know what they want, even if they think the do. As Joe Leech, a UX psychologist says, "People want more choices, but can't deal with them.”

So how do we design for our users, if our users aren’t always telling us the truth? This is one of the most important questions, and something that extensive UX research helps us accomplish.