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.
Web Brutalism, seamfulness, and notion
How a tool for sensemaking reconciles two distinct software design ideologies.
- Seamful vs. seamless
- Reveling in infrastructure
- The brilliance of notion
- How our understanding is working
Seamful vs. seamless
At the core of the Brutalist ethos is a tension between two philosophies that have been the topic of a long-standing debate in information design: the merits of “seamless” and “seamful” design, “seams” in this context taken to mean revelations of an object’s inner workings.
Designers typically take seamlessness as the de facto standard for our work, emphasizing clarity, consistency, simplicity, efficiency, reducing cognitive load. We seek to minimize distractions.
Yet what if we can achieve a clearer understanding by intentionally revealing how a system works?
Reveling in infrastructure
Hunstanton Secondary School (1954) in Norfolk, England, designed by Alison and Peter Smithson. Photo by Anna Armstrong (2011)
When the Smithsons placed the water heater for the Hunstanton Secondary School prominently above the school’s roofline, they weren’t just revealing the building’s infrastructure, they were reveling in it. What does it look like to do this on the web?
Of course there’s no single answer, because the web is simultaneously a physical and digital medium. It is material and it isn’t. It depends on how literally you interpret the question. But taking it somewhere in-between, seeing the web as primarily an information medium, we can ask the question a little differently: what does it look like to design something that is true to the material of digital information?
The brilliance of notion
This, I think, is the brilliance of Notion, and what makes it one of the best examples of “fidelity to digital information” that I’ve come across. The structure of the app reflects the structure of the web itself: digital content is purposefully formatted, like semantic HTML elements, and exists in a hierarchical structure (directories on the web, nested pages in Notion), yet can be linked and referenced to create a complex network of information. And pages in Notion reveal the structure of the information: when nesting a page within a page, the child page always displays on the parent page. There’s no way to create a child page that doesn’t display on a parent page, no way to obscure the structure of the information. The semantic structure of Notion reflects the semantic structure of the web itself.
How our understanding is working
The concept of seamfulness prompts designers to ask how an object can aid understanding and usage by showing its users what’s going on inside. How can we create what Mark Weiser, later revising his ideas of seamless design, calls “beautiful seams” — thoughtfully-crafted moments of revelation? Notion doesn’t show us how it’s literally working — the background processes constantly running to enable editing, collaboration, and the like. We don’t need to see our car’s engine to know it’s running. But it shows users how their understanding is working, how our ideas are structured, connected, and evolving.