AI-driven "Design"? An Article by Jorge Arango jarango.com 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.” aidesignintentabstraction
Two types of work An Article by Jorge Arango jarango.com There are two types of work: growth work and maintenance work. Growth work involves making new things. It can be something big or small. In either case, growth work often follows a loose process. Maintenance work is different. Maintenance work involves caring for the resources and instruments that make growth work possible. This includes tools, but also body and mind. Maintenance is ultimately in service to growth. But effective growth can’t happen without maintenance. As with so many things, the ideal is a healthy balance — and it doesn’t come without struggle. organizationinformationmakingwork
Internal design teams and thought leadership An Article by Jorge Arango jarango.com The design industry is an ecosystem. External design teams provide critical functions beyond augmenting internal design resources. Thought leadership — pushing the field’s boundaries — is indeed one of them. Many practices and tools we take for granted — journey maps, personas, conceptual frameworks — were pioneered and/or popularized by ‘outies.’ Most of the field’s foundational books and blogs are by people outside ‘client’ organizations. This isn’t because internal designers aren’t as clever or dedicated as their external colleagues. (Many ‘innies’ are former ‘outies.’) It’s because internal design roles are structurally misaligned with public thought leadership. designux
Not Just a New Feature; a New Compact A Fragment by Jorge Arango jarango.com My sense is that Slack’s teams think of themselves as adding ‘features’ to a ‘product,’ instead of as stewards of a place where people work. featuresplace
Embracing Asymmetrical Design An Article by Ben Nadel www.bennadel.com Humans love symmetry. We find symmetry to be very attractive. Our brains may even be hard-wired through evolution to process symmetrical data more efficiently. So, it's no surprise that, as designers, we try to build symmetry into our product interfaces and layouts. It makes them feel very pleasant to look at. Unfortunately, data is not symmetrical…Once you release a product into "the real world", and users start to enter "real world data" into it, you immediately see that asymmetrical data, shoe-horned into a symmetrical design, can start to look terrible. To fix this, we need to lean into an asymmetric reality. We need to embrace the fact that data is asymmetric and we need to design user interfaces that can expand and contract to work with the asymmetry, not against it. To borrow from Bruce Lee, we need to build user interfaces that act more like water: “You must be shapeless, formless, like water. When you pour water in a cup, it becomes the cup. When you pour water in a bottle, it becomes the bottle. When you pour water in a teapot, it becomes the teapot. Water can drip and it can crash. Become like water my friend.” — Bruce Lee The pernicious issue with pangramsChanging Our Development Mindset datainterfaces