Tags: met

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Wednesday, May 22nd, 2019

Bruce Lawson’s personal site  : Structured data and Google

Bruce wonders why Google seems to prefer separate chunks of JSON-LD in web pages instead of interwoven microdata attributes:

I strongly feel that metadata that is separated from the user-visible data associated with it highly susceptible to metadata partial copy-paste necrosis. User-visible text is also developer-visible text. When devs copy/ paste that, it’s very easy to forget to copy any associated metadata that’s not interleaved, leading to errors.

Tuesday, May 7th, 2019

Test the impact of ads and third party scripts

This is a very useful new feature in Calibre, the performance monitoring tool. Now you can get data about just how much third-party scripts are affecting your site’s performance:

The best way of circumventing fear and anxiety around third party script performance is to capture metrics that clearly articulate their performance impact.

Monday, April 8th, 2019

Methods - 18F Methods

A very handy collection of design exercises as used by 18F. There’s a lot of crossover here with the Clearleft toolbox.

A collection of tools to bring human-centered design into your project.

These methods are categorised by:

  1. Discover
  2. Decide
  3. Make
  4. Validate
  5. Fundamentals

Friday, April 5th, 2019

Why Computer Programmers Should Stop Calling Themselves Engineers - The Atlantic

This article by Ian Bogost from a few years back touches on one of the themes in the talk I gave at New Adventures:

“Engineer” conjures the image of the hard-hat-topped designer-builder, carefully crafting tomorrow. But such an aspiration is rarely realized by computing. The respectability of engineering, a feature built over many decades of closely controlled, education- and apprenticeship-oriented certification, becomes reinterpreted as a fast-and-loose commitment to craftwork as business.

Thursday, April 4th, 2019

UX Workshop | Trys Mudford

I’m so, so happy that Trys has joined us at Clearleft!

Here, he recounts his first day, which just happened to coincide with an introductory UX workshop that went really well.

Sunday, March 31st, 2019

Intro to Font Metrics

Font metrics help the computer determine things like the default spacing between lines, how high or low sub and super scripts should go, and how to align two differently sized pieces of text next to each other.

Saturday, March 9th, 2019

Performance Budgets That Stick - TimKadlec.com

I like Tim’s definition here:

A performance budget is a clearly defined limit on one or more performance metrics that the team agrees not to exceed, and that is used to guide design and development.

And I agree about the four attributes required for a performance budget to succeed. It must be:

  1. Concrete
  2. Meaningful
  3. Integrated
  4. Enforceable

The point is not to let the performance budget try to stand on its own, somewhere hidden in company documentation collecting dust. You need to be proactive about making the budget become a part of your everyday work.

Sunday, February 24th, 2019

Programming as translation – Increment: Internationalization

Programming lessons from Umberto Eco and Emily Wilson.

Converting the analog into the digital requires discretization, leaving things out. What we filter out—or what we focus on—depends on our biases. How do conventional translators handle issues of bias? What can programmers learn from them?

Saturday, February 16th, 2019

Friday, January 18th, 2019

Why Data Is Never Raw - The New Atlantis

Raw data is both an oxymoron and a bad idea; to the contrary, data should be cooked with care.

Monday, December 3rd, 2018

Programming CSS

There’s a worrying tendency for “real” programmers look down their noses at CSS. It’s just a declarative language, they point out, not a fully-featured programming language. Heck, it isn’t even a scripting language.

That may be true, but that doesn’t mean that CSS isn’t powerful. It’s just powerful in different ways to traditional languages.

Take CSS selectors, for example. At the most basic level, they work like conditional statments. Here’s a standard if statement:

if (condition) {
// code here
}

The condition needs to evaluate to true in order for the code in the curly braces to be executed. Sound familiar?

condition {
// styles here
}

That’s a very simple mapping, but what if the conditional statement is more complicated?

if (condition1 && condition2) {
// code here
}

Well, that’s what the decendant selector does:

condition1 condition2 {
// styles here
}

In fact, we can get even more specific than that by using the child combinator, the sibling combinator, and the adjacent sibling combinator:

  • condition1 > condition2
  • condition1 ~ condition2
  • condition2 + condition2

AND is just one part of Boolean logic. There’s also OR:

if (condition1 || condition2) {
// code here
}

In CSS, we use commas:

condition1, condition2 {
// styles here
}

We’ve even got the :not() pseudo-class to complete the set of Boolean possibilities. Once you add quantity queries into the mix, made possible by :nth-child and its ilk, CSS starts to look Turing complete. I’ve seen people build state machines using the adjacent sibling combinator and the :checked pseudo-class.

Anyway, my point here is that CSS selectors are really powerful. And yet, quite often we deliberately choose not to use that power. The entire raison d’être for OOCSS, BEM, and Smacss is to deliberately limit the power of selectors, restricting them to class selectors only.

On the face of it, this might seem like an odd choice. After all, we wouldn’t deliberately limit ourselves to a subset of a programming language, would we?

We would and we do. That’s what templating languages are for. Whether it’s PHP’s Smarty or Twig, or JavaScript’s Mustache, Nunjucks, or Handlebars, they all work by providing a deliberately small subset of features. Some pride themselves on being logic-less. If you find yourself trying to do something that the templating language doesn’t provide, that’s a good sign that you shouldn’t be trying to do it in the template at all; it should be in the controller.

So templating languages exist to enforce simplicity and ensure that the complexity happens somewhere else. It’s a similar story with BEM et al. If you find you can’t select something in the CSS, that’s a sign that you probably need to add another class name to the HTML. The complexity is confined to the markup in order to keep the CSS more straightforward, modular, and maintainable.

But let’s not forget that that’s a choice. It’s not that CSS in inherently incapable of executing complex conditions. Quite the opposite. It’s precisely because CSS selectors (and the cascade) are so powerful that we choose to put guard rails in place.

Friday, November 23rd, 2018

Responsive Images on the Apple Watch — ericportis.com

Some tips for getting responsive images to work well on the Apple Watch:

  • test your layouts down to 136-px wide
  • include 300w-ish resources in your full-width img’s srcsets
  • art direct to keep image subjects legible
  • say the magic meta words

Tuesday, October 23rd, 2018

UX past, present, and future | Clearleft

This long zoom by Andy is right up my alley—a history of UX design that begins in 1880. It’s not often that you get to read something that includes Don Norman, Doug Engelbart, Lilian Gilbreth, and Vladimir Lenin. So good!

Tuesday, October 9th, 2018

AddyOsmani.com - Start Performance Budgeting

Great ideas from Addy on where to start with creating a performance budget that can act as a red line you don’t want to cross.

If it’s worth getting fast, it’s worth staying fast.

Monday, October 8th, 2018

Workplace topology | Clearleft

The hits keep on comin’ from Clearleft. This time, it’s Danielle with an absolutely brilliant and thoughtful piece on the perils of gaps and overlaps in pattern libraries, design systems and organisations.

This is such a revealing lens to view these things through! Once you’re introduced to it, it’s hard to “un-see” problems in terms of gaps and overlaps in categorisation. And even once the problems are visible, you still need to solve them in the right way:

Recognising the gaps and overlaps is only half the battle. If we apply tools to a people problem, we will only end up moving the problem somewhere else.

Some issues can be solved with better tools or better processes. In most of our workplaces, we tend to reach for tools and processes by default, because they feel easier to implement. But as often as not, it’s not a technology problem. It’s a people problem. And the solution actually involves communication skills, or effective dialogue.

That last part dovetails nicely with Jerlyn’s equally great piece.

Friday, September 28th, 2018

What is Modular CSS?

A walk down memory lane, looking at the history modular CSS methodologies (and the people behind them):

Tuesday, September 25th, 2018

Incomplete Open Cubes Revisited

Art, geometry, and code. Sol LeWitt started it. Rob saw it through.

Thursday, September 20th, 2018

A framework for web performance

Here at Clearleft, we’ve recently been doing some front-end consultancy. That prompted me to jot down thoughts on design principles and performance:

We continued with some more performance work this week. Having already covered some of the nitty-gritty performance tactics like font-loading, image optimisation, etc., we wanted to take a step back and formulate an ongoing strategy for performance.

When it comes to web performance, the eternal question is “What should we measure?” The answer to that question will determine where you then concentrate your efforts—whatever it is your measuring, that’s what you’ll be looking to improve.

I started by drawing a distinction between measurements of quantities and measurements of time. Quantities are quite easy to measure. You can measure these quantities using nothing more than browser dev tools:

  • overall file size (page weight + assets), and
  • number of requests.

I think it’s good to measure these quantities, and I think it’s good to have a performance budget for them. But I also think they’re table stakes. They don’t actually tell you much about the impact that performance is having on the user experience. For that, we need to enumerate moments in time:

  • time to first byte,
  • time to first render,
  • time to first meaningful paint, and
  • time to first meaningful interaction.

There’s one more moment in time, which is the time until DOM content is loaded. But I’m not sure that has a direct effect on how performance is perceived, so it feels like it belongs more in the category of quantities than time.

Next, we listed out all the factors that could affect each of the moments in time. For example, the time to first byte depends on the speed of the network that the user is on. It also depends on how speedily your server (or Content Delivery Network) can return a response. Meanwhile, time to first render is affected by the speed of the user’s network, but it’s also affected by how many blocking elements are on the critical path.

By listing all the factors out, we can draw a distinction between the factors that are outside of our control, and the factors that we can do something about. So while we might not be able to do anything about the speed of the user’s network, we might well be able to optimise the speed at which our server returns a response, or we might be able to defer some assets that are currently blocking the critical path.

Factors
1st byte
  • server speed
  • network speed
1st render
  • network speed
  • critical path assets
1st meaningful paint
  • network speed
  • font-loading strategy
  • image optimisation
1st meaningful interaction
  • network speed
  • device processing power
  • JavaScript size

So far, everything in our list of performance-affecting factors is related to the first visit. It’s worth drawing up a second list to document all the factors for subsequent visits. This will look the same as the list for first visits, but with the crucial difference that caching now becomes a factor.

First visit factors Repeat visit factors
1st byte
  • server speed
  • network speed
  • server speed
  • network speed
  • caching
1st render
  • network speed
  • critical path assets
  • network speed
  • critical path assets
  • caching
1st meaningful paint
  • network speed
  • font-loading strategy
  • image optimisation
  • network speed
  • font-loading strategy
  • image optimisation
  • caching
1st meaningful interaction
  • network speed
  • device processing power
  • JavaScript size
  • network speed
  • device processing power
  • JavaScript size
  • caching

Alright. Now it’s time to get some numbers for each of the four moments in time. I use Web Page Test for this. Choose a realistic setting, like 3G on an Android from the East coast of the USA. Under advanced settings, be sure to select “First View and Repeat View” so that you can put those numbers in two different columns.

Here are some numbers for adactio.com:

First visit time Repeat visit time
1st byte 1.476 seconds 1.215 seconds
1st render 2.633 seconds 1.930 seconds
1st meaningful paint 2.633 seconds 1.930 seconds
1st meaningful interaction 2.868 seconds 2.083 seconds

I’m getting the same numbers for first render as first meaningful paint. That tells me that there’s no point in trying to optimise my font-loading, for example …which makes total sense, because adactio.com isn’t using any web fonts. But on a different site, you might see a big gap between those numbers.

I am seeing a gap between time to first byte and time to first render. That tells me that I might be able to get some blocking requests off the critical path. Sure enough, I’m currently referencing an external stylesheet in the head of adactio.com—if I were to inline critical styles and defer the loading of that stylesheet, I should be able to narrow that gap.

A straightforward site like adactio.com isn’t going to have much to worry about when it comes to the time to first meaningful interaction, but on other sites, this can be a significant bottleneck. If you’re sending UI elements in the initial HTML, but then waiting for JavaScript to “hydrate” those elements into working, the user can end up in an uncanny valley of tapping on page elements that look fine, but aren’t ready yet.

My point is, you’re going to see very different distributions of numbers depending on the kind of site you’re testing. There’s no one-size-fits-all metric to focus on.

Now that you’ve got numbers for how your site is currently performing, you can create two new columns: one of those is a list of first-visit targets, the other is a list of repeat-visit targets for each moment in time. Try to keep them realistic.

For example, if I could reduce the time to first render on adactio.com by 0.5 seconds, my goals would look like this:

First visit goal Repeat visit goal
1st byte 1.476 seconds 1.215 seconds
1st render 2.133 seconds 1.430 seconds
1st meaningful paint 2.133 seconds 1.430 seconds
1st meaningful interaction 2.368 seconds 1.583 seconds

See how the 0.5 seconds saving cascades down into the other numbers?

Alright! Now I’ve got something to aim for. It might also be worth having an extra column to record which of the moments in time are high priority, which are medium priority, and which are low priority.

Priority
1st byte Medium
1st render High
1st meaningful paint Low
1st meaningful interaction Low

Your goals and priorities may be quite different.

I think this is a fairly useful framework for figuring out where to focus when it comes to web performance. If you’d like to give it a go, I’ve made a web performance chart for you to print out and fill in. Here’s a PDF version if that’s easier for printing. Or you can download the HTML version if you want to edit it.

I have to say, I’m really enjoying the front-end consultancy work we’ve been doing at Clearleft around performance and related technologies, like offline functionality. I’d like to do more of it. If you’d like some help in prioritising performance at your company, please get in touch. Let’s make the web faster together.

Friday, September 14th, 2018

Breaking the Deadlock Between User Experience and Developer Experience · An A List Apart Article

Yes! Yes! Yes!

Our efforts to measure and improve UX are packed with tragically ironic attempts to love our users: we try to find ways to improve our app experiences by bloating them with analytics, split testing, behavioral analysis, and Net Promoter Score popovers. We stack plugins on top of third-party libraries on top of frameworks in the name of making websites “better”—whether it’s something misguided, like adding a carousel to appease some executive’s burning desire to get everything “above the fold,” or something truly intended to help people, like a support chat overlay. Often the net result is a slower page load, a frustrating experience, and/or (usually “and”) a ton of extra code and assets transferred to the browser.

Even tools that are supposed to help measure performance in order to make improvements—like, say, Real User Monitoring—require you to add a script to your web pages …thereby increasing the file size and degrading performance! It’s ironic, in that Alanis Morissette sense of not understanding what irony is.

Stacking tools upon tools may solve our problems, but it’s creating a Jenga tower of problems for our users.

This is a great article about evaluating technology.

Tuesday, July 31st, 2018

Prioritizing the Long-Tail of Performance - TimKadlec.com

Focusing on the median or average is the equivalent of walking around with a pair of blinders on. We’re limiting our perspective and, in the process, missing out on so much crucial detail. By definition, when we make improving the median or average our goal, we are focusing on optimizing for only about half of our sessions.

Tim does the numbers…

By honing in on the 90th—or 95th or similar—we ensure those weaknesses don’t get ignored. Our goal is to optimize the performance of our site for the majority of our users—not just a small subset of them.