CASE STUDY

Artificial Intelligence

First run
“Machine learning and artificial intelligence are so difficult to understand, only a few very smart computer scientists know how to build them. But the designers of a new tool have a big ambition: to create the JavaScript for AI.” —Fast Company

The Challenge

The client wanted to build the world’s first graphical AI development tool. They weren’t clear on exactly what that would mean, or how it would work.

Our job was to decipher the esoteric world of machine learning and artificial intelligence and present it visually. This would help to accelerate AI development and make the technology accessible to developers without advanced machine learning degrees.

Start with Research

As always, I began with gaining an understanding of our users by talking to them. I have experience in software development, so I had some empathy for our users and and an understanding of their context.

Context

Sketching

Once I understood the problem we were meant to solve and the people we were solving it for, I began to sketch potential solutions and put them in front of the team.

Sketching

High Fidelity

When the concepts were basically validated through sketching, I produced high-fidelity mockups and animations to present to the client as prototypes to gather feedback.

Sign In Import Selection Tags

Snacks

Tasty snacks were an essential part of my process. Every week the studio provided amazing food, without which the project surely would have failed.

Snacks

AIGA Event

We held an event during which the team explained our point of view on artificial intelligence, and the way we approached designing interfaces for new technologies.

Event

Fast Company Feature

Fast Company published an article covering our work, in which Mark perfectly captured the essential challenge of the project:

It took many hours before the design team could begin to understand and conceptualize what Sanchez was trying to do. “I think good designers can ride shotgun with a surgeon or jet pilot or AI programmer, and listen to them, and extract out of them things that are true to design and are true to their profession,” Rolston says. “That [didn’t] happen without hours of conversations where I [had] barely a thread or grasp on what Matt was saying.”

Fast Company article