UX

Reader Mode: The Button to Beat

A reminder of why reader modes exist in browsers and to embrace them as a user’s right:

Good design isn’t about forcing someone to walk a tightrope across your carefully manicured lawn. Nor is it a puzzle box casually tossed to the user, hoping they’ll unlock it to reveal a hidden treasure. Good design is about doing the hard work to accommodate the different ways people access a solution to an identified problem.

For reading articles, the core problem is turning my ignorance about an issue into understanding (the funding model for this is a whole other complicated concern). The more obstructions you throw in my way to achieve this goal, the more I am inclined to leave and get my understanding elsewhere—all I’ll remember is how poor a time I had while trying to access your content. What is the value of an ad impression if it ultimately leads to that user never returning?

Using UI System Fonts

For perhaps the first time since the original Macintosh, we can get excited about using system UI fonts. They’re an interesting, fresh alternative to web typography — and one that doesn’t require a web-font delivery service or font files stored on your server. How do we use system UI fonts on a website, and what are the caveats? System UI fonts being amazing kind of snuck up on us. Google has been toiling away at Roboto with great success (including regular updates), Apple made a splash with San Francisco, and Mozilla asked renowned type designer Erik Spiekermann to create Fira Sans.

Code language: CSS

font-family:
/* 1 */ -apple-system, BlinkMacSystemFont,
/* 2 */ 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans',
/* 3 */ 'Helvetica Neue', sans-serif;

The first grouping is CSS properties that map to the system’s UI font. That covers a lot of ground, and there is no chance that these fonts will be mistaken for something else:

  • -apple-system targets San Francisco in Safari on Mac OS X and iOS, and it targets Neue Helvetica and Lucida Grande on older versions of Mac OS X. It properly selects between San Francisco Text and San Francisco Display depending on the text’s size.
  • BlinkMacSystemFont is the equivalent for Chrome on Mac OS X.

The second grouping is for known system UI fonts:

  • Segoe UI targets Windows and Windows Phone.
  • Roboto targets Android and newer Chrome OS’. It is deliberately listed after Segoe UI so that if you’re an Android developer on Windows and have Roboto installed, Segoe UI will be used instead.
  • Oxygen targets KDE, Ubuntu targets… well, you can guess, and Cantarell targets GNOME. This is beginning to feel futile because some Linux distributions have many of these fonts.
  • Fira Sans targets Firefox OS.
  • Droid Sans targets older versions of Android.
  • Note that we don’t specify San Francisco by name. On both iOS and Mac OS X, San Francisco isn’t obviously accessible, but rather exists as a “hidden” font.
  • We also don’t specify San Francisco using .SFNSText-Regular, the internal PostScript name for San Francisco on Mac OS X. It only works in Chrome and is less versatile than BlinkMacSystemFont.

The third grouping is our fallback fonts:

  • Helvetica Neue targets pre-El Capitan versions of Mac OS X. It is listed close to the end because it’s a popular font on other non-El Capitan computers.
  • sans-serif is the default sans-serif fallback font.

Empty States: The Most Overlooked Aspect of UX Design Could Be The Most Important

[T]he basic questions an empty state should answer are:

  • What is this screen?
  • Why am I seeing it?
  • How can I fix this problem?

On top of this, you should aim to:

  • Communicate personality. Make your app a joy to use and connect feelings with features.
  • Explain the benefits. This is critical for your first-use empty states so your users know why they should care.
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A/B testing can't tell you why a change is better

I think this is a good example of the is-ought problem in philosophy, transplanted into the world of software development:

A/B testing is a great way of finding out what happens when you introduce a change. But it can’t tell you why.

The problem is that, in a data-driven environment, decisions ultimately come down to whether something works or not. But just because something works, doesn’t mean it’s a good thing.

If I were trying to convince you to buy a product, or use a service, one way I could accomplish that would be to literally put a gun to your head. It would work. Except it’s not exactly a good solution, is it? But if we were to judge by the numbers (100% of people threatened with a gun did what we wanted), it would appear to be the right solution.