Design, it seems, is not only becoming more methodical but also more scientific. This is not surprising. Design as a discipline has moved from “product beautification” to being a central part of product development. It has incorporated methodologies from human-computer interaction, sociology, and anthropology as well as advertising and management. And with the rise of design thinking, a wider range of professional disciplines are using creative methods.
I don’t want to criticize design methodologies. But against the backdrop of an overly structured design process, it is important to remind our community that there is one fundamental aspect to design that cannot be formalized in a methodology. And that is intuition.
Like a programming language interpreter, GPT-3 translates the designer’s intent from a language they’re already familiar with (English) to one they need to learn (Figma’s information architecture, as manifested in its UI.) This can be easier for a new/busy designer, much like Python is easier and faster to work with than assembly language.
But that’s not “designing” — at least not any more than compiling Python code is “programming.” In both cases, all the system does is translate human intent into a lower level of abstraction. Sure, the process saves time — but the key is getting the intent part right. I’ll be convinced the system is “designing” when it can produce a meaningful output to a directive like “change the product page’s layout to increase conversions.”