data
INSUFFICIENT DATA FOR MEANINGFUL ANSWER.
The Eyes Have It
A Research Paper by Ben ShneidermanThe trend is your friend 'til the bend at the end
A Fragment by Noah SmithIn the past, GDP and resources use have always been tightly correlated. But this is just drawing a line through some data — it’s not based on any deep theory. And in fact, these correlations can change very quickly. Just as one example, here’s energy use versus GDP since 1949.
If you were sitting in 1970, you could look at this curve and claim, very confidently, that economic growth requires concomitant increases in energy use. And you’d be wrong. Because the trend is your friend til the bend at the end.
Embracing Asymmetrical Design
An Article by Ben NadelHumans 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
Goodbye, Google
An Article by Douglas BowmanWithout a person at (or near) the helm who thoroughly understands the principles and elements of Design, a company eventually runs out of reasons for design decisions. With every new design decision, critics cry foul. Without conviction, doubt creeps in. Instincts fail. “Is this the right move?” When a company is filled with engineers, it turns to engineering to solve problems. Reduce each decision to a simple logic problem. Remove all subjectivity and just look at the data. Data in your favor? Ok, launch it. Data shows negative effects? Back to the drawing board. And that data eventually becomes a crutch for every decision, paralyzing the company and preventing it from making any daring design decisions.
Yes, it’s true that a team at Google couldn’t decide between two blues, so they’re testing 41 shades between each blue to see which one performs better. I had a recent debate over whether a border should be 3, 4 or 5 pixels wide, and was asked to prove my case. I can’t operate in an environment like that. I’ve grown tired of debating such minuscule design decisions. There are more exciting design problems in this world to tackle.
The Subtleties of Color
A Series by Robert SimmonThe use of color to display data is a solved problem, right? Just pick a palette from a drop-down menu (probably either a grayscale ramp or a rainbow), set start and end points, press “apply,” and you’re done. Although we all know it’s not that simple, that’s often how colors are chosen in the real world. As a result, many visualizations fail to represent the underlying data as well as they could.
Data Farming
A Research PaperMiners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.
Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.
In Defense of a Fussy Website
Fussy breakfasts
The other day I was doom-scrolling twitter, and I saw a delightful article titled “The Case for Fussy Breakfasts.” I love food and especially breakfast, and since the pandemic hit I’ve been using my breaks in between meetings (or sometimes on meetings, shh) to make a full bacon, poached egg, vegetable plate, so I really got into the article. This small joy of creating a bit of space for myself for the most important meal of the day has been meaningful to me — while everything else feels out of control, indulging in some ceremony has done a tiny part to offset the intensity of our collective situation.
It caused me to think of this “fussiness” as applied to other inconsequential joys. A walk. A bath. What about programming?
While we’re all laser-focused on shipping the newest feature with the hottest software and the best Lighthouse scores, I’ve been missing a bit of the joy on the web. Apps are currently conveying little care for UX, guidance, richness, and — well, for humans trying to communicate through a computer, we’re certainly bending a lot to… the computer.
Eggs, Easter and poached
When a site is done with care and excitement you can tell. You feel it as you visit, the hum of intention. The craft, the cohesiveness, the attention to detail is obvious. And in turn, you meet them halfway. These are the sites with the low bounce rates, the best engagement metrics, the ones where they get questions like “can I contribute?” No gimmicks needed.
What if you don’t have the time? Of course, we all have to get things over the line. Perhaps a challenge: what small thing can you incorporate that someone might notice? Can you start with a single detail? I didn’t start with a poached egg in my breakfast, one day I made a goofy scrambled one. It went on from there. Can you challenge yourself to learn one small new technique? Can you outsource one graphic? Can you introduce a tiny easter egg? Say something just a little differently from the typical corporate lingo?