At Expero, TigerGraph’s 2020 projections are already in place or well underway.

Natural language processing is a powerful tool in building investigatory user interfaces for data exploration.

Supporting multiple languages is about more than just translating some text.

Wireframes call out key moments in design in order to clarify how something should look, feel, and function.

Can an AI learn to write better looking websites than a human? Frighteningly, yes.

Software and web developers often wear many hats, but some lack the knowledge to design or collaborate effectively with UX designers and researchers.

When it comes to data-driven user interfaces, like those utilizing graph data, it’s vital to understand your users and what they’re trying to achieve.

On any given day, we perform numerous searches, many consciously and many without even realizing.

Product owners and stakeholders have a tendency to skip over discovery research and go straight to design and then go right to release.

What are the next big trends in UX? At our recent Expero Summit, we discussed many advances that promise to transform how users interact with technologies. As augmented reality and other technologies take substantive form, it’s more and more about what the user needs from these amazing technologies and less about how cool the technology actually is. It’s a given that the technology is only going to get cooler. What’s not as obvious is whether the user is ready for it.

One of the major hesitations from product stakeholders regarding end-user engagement, specifically user testing, is that they often don’t want anyone to see it till it’s “perfect” or “ready” or “MVP.”

When designing and developing software, it is critical to take into account the limitations of the technology employed, especially hardware—things like computers, boxes and other physical devices. But there’s another aspect to hardware that should be taken into account and is often overlooked: the user.

Visual design is about more than keeping up with popular design trends, especially for complex apps

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Achieving user adoption goals for enterprise software can be challenging.

Smartphone and tablet experiences are a major force influencing product development according to an internal survey we recently conducted with our clients.

“Can’t we just…”I know the phrase. I can’t specify the last instance I heard it. And, worst of all, I’ve said it myself.

What do my users want to do with Big Data? How do they want to visualize it, interact with it and manage it? How big is my data, really? How much data can a human deal with at one time, and how much data should we process at one time? How can the UX accommodate data sources that respond at different rates?

Ever wonder about the best way to visualize your application’s data sets?

Is Google’s Material Design for complex software? My first reaction after reading through these new Google guidelines was: no.

Many organizations haven’t embraced UI design patterns, despite their growing popularity among UX professionals.

Q: In usability tests, people say our application is easy to use. But in the field, very few users are actually using the app. What should we do?

Producing great user experiences in an Agile environment can be a challenge. As a designer who has been working in the User Experience (UX) field for over 20 years and as part of Agile teams since 2006, I have truly come to embrace Agile. Dare I say, often I prefer it. As the product releases move ever faster, Agile, Kanban and other Lean methods are here to stay. It’s time for the UX field to get better educated on these topics and embrace change. Many aspects of Agile and Lean methodologies are good for UX. Here are a few tenets of going Agile-Lean that we should be using to our advantage:

My company’s site has links that say “click here” or “click here for more info”.