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.
Brilliant Hardware in the Valley of the Software Slump
It begins with craft
Something strange is happening in the world of software: It’s slowly getting worse. Not all software, but a lot of it. It’s becoming more sluggish, less responsive, and subtly less reliable than it was a few years ago.
In some ways this is hyperbole. Objectively, we’ve never been able to do so much, so easily with our smartphones and laptops and tablets. We’ve never pushed more data between more places more readily. But while the insidious “worseness” I mention falls only in part on the engineering side of things, it falls harder on the more subjective, craft side of things, making it all the more worrisome.
Why should we care about this? Because the majority of our waking hours take place within the confines of applications. A truth recently amplified by the covid pandemic.
And I believe software used by millions (if not billions) has a moral duty to elevate the emotional and intellectual qualities of its users. That elevation begins with craft.
Penn Station
In the same way that physical architecture can affect a mind, so too can software. Slower, less reliable software is like Penn Station: Sure, you can catch a transfer from one train to another but the dreary lowness of the place, the lack of sunlight or sensible wayfinding will make you feel like a rat, truculent and worthless, and worse: You’ll acclimate to that feeling and accept it as a norm.
Edges
Hardware has literal and metaphorical edges — it must be fully complete and largely bug free to ship. Software? It’s far more amorphous, like mist. Patches can be endlessly pushed. It never ends. Faulty hardware can destroy a company. Faulty software can be patched. The butterfly keyboard debacle may never be lived down. Even as I type on this improved Magic Keyboard, I can’t help but wonder: Did they really test this thing? I had three butterfly keyboards die on me, twice in the field. Not fun. Hardware failures live long in the mind.
The business case for craft
macOS software that adheres to craft — Things or Carbon Copy Cloner or BBEdit or Sublime Text (which, despite not being “native native” feels so solid and so responsive you’re willing to overlook its quirks) or Bear or Alfred or iA Writer or Keynote (arguably one of the best pieces of macOS software of all time) or anything by Panic, heck, even Terminal or Quicken (which, against all rational expectations is just a joy to use)5 — exists in troves, the existence of such proves to the Slacks or Twitters or Adobes of the world that it’s not impossible nor rare to produce craft-oriented software in service to user fluency, and still make a profit.
In fact, there’s a business case to be made for being craft- and fluency-focused. We’ve seen entire companies with business models that could be summarized as “Bloat-Free X” emerge in recent years. Affinity is bloat-free Adobe. Install Adobe Creative Cloud on your laptop and marvel at the no fewer than a dozen processes whirling around in the background for unknown purposes. It’s no surprise Affinity Photo and Publisher and Designer have taken off. Sketch’s main feature for many years was simply: Not Adobe.
And the web! When you care — when you really give a shit — the web is awe inspiring. I still can’t believe Figma is web-native (also born from the Not Adobe camp). That an application can feel so powerful, so fast, so well-crafted and be fully web-based should be a kind of lighthouse-archetype for all other sites lost in a sea of complexity and muck and unnecessary frameworks.