Journal tags: scripts

I was moaning about Safari recently. Specifically I was moaning about the ridiculous way that browser updates are tied to operating system updates.

But I felt bad bashing Safari. It felt like a pile-on. That’s because a lot of people have been venting their frustrations with Safari recently:

• Jorge Arango wrote Back to the Bad Old Days of the Web,
• Dave Rupert wrote One-offs and low-expectations with Safari,
• Perry Sun wrote For developers, Apple’s Safari is crap and outdated, and
• Tim Perry wrote Safari isn’t protecting the web, it’s killing it.

I think it’s good that people share their frustrations with browsers openly, although I agree with Baldur Bjarnason that’s good to avoid Kremlinology and the motivational fallacy when blogging about Apple.

It’s also not helpful to make claims like “Safari is the new Internet Explorer!” Unless, that is, you can back up the claim.

On a recent episode of the HTTP 203 podcast, Jake and Surma set out to test the claim that Safari is the new IE. They did it by examining Safari according to a number of different measurements and comparing it to the olden days of Internet Explorer. The result is a really fascinating trip down memory lane along with a very nuanced and even-handed critique of Safari.

And the verdict? Well, you’ll just to have to listen to the podcast episode.

If you’d rather read the transcript, tough luck. That’s a real shame because, like I said, it’s an excellent and measured assessment. I’d love to add it to the links section of my site, but I can’t do that in good conscience while it’s inaccessible to the Deaf community.

When I started the Clearleft podcast, it was a no-brainer to have transcripts of every episode. Not only does it make the content more widely available, but it also makes it easier for people to copy and paste choice quotes.

Still, I get it. A small plucky little operation like Google isn’t going to have the deep pockets of a massive corporation like Clearleft. But if Jake and Surma were to open up a tip jar, I’d throw some money in to get HTTP 203 transcribed (I recommend getting Tina Pham to do it—she’s great!).

I apologise for my note of sarcasm there. But I share because I care. It really is an excellent discussion; one that everyone should be able to access.

Update: the bug with that episode of the HTTP 203 podcast has been fixed. Here’s the transcript! And all future episodes will have transcripts too:

Some folks called us out for lacking transcripts for our podcasts. Fair point! So, here we go (and all future episodes will have transcripts)https://t.co/HmfwBvAicA

— Jake Archibald (@jaffathecake) August 18, 2021

If you’ve already subscribed to the Clearleft podcast, thank you! The first episode is sliding into your podcast player of choice.

This episode is all about …design systems!

I’m pretty happy with how this one turned out, although as it’s the first one, I’m sure I’ll learn how to do this better. I may end up looking back at this first foray with embarrassment. Still, it’s fairly representative of what you can expect from the rest of the season.

This episode is fairly short. Just under eighteen minutes. That doesn’t mean that other episodes will be the same length. Each episode will be as long (or as short) as it needs to be. Form follows function, or in this case, episode length follows content. Other episodes will be longer. Some might be shorter. It all depends on the narrative.

This flies in the face of accepted wisdom when it comes to podcasting. The watchword that’s repeated again and again for aspiring podcasters is consistency. Release on a consistent schedule and have a consistent length for episodes. I kind of want to go against that advice just out of sheer obstinancy. If I end up releasing episodes on a regular schedule, treat it as coincidence rather than consistency.

There’s not much of me in this episode. And there won’t be much of me in most episodes. I’m just there to thread together the smart soundbites coming from other people. In this episode, the talking heads are my colleagues Jon and James, along with my friends and peers Charlotte, Paul, and Amy (although there’s a Clearleft connection with all of them: Charlotte and Paul used to be Clearlefties, and Amy spoke at Patterns Day and Sofa Conf).

I spoke to each of them for about an hour, but like I said, the entire episode is less than eighteen minutes long. The majority of our conversations ended up on the cutting room floor (possibly to be used in future episodes).

Most of my time was spent on editing. It was painstaking, but rewarding. There’s a real pleasure to be had in juxtaposing two snippets of audio, either because they echo one another or because they completely contradict one another. This episode has a few examples of contradictions, and I think those are my favourite moments.

Needless to say, eighteen minutes was not enough time to cover everything about design systems. Quite the opposite. It’s barely an introduction. This is definitely a topic that I’ll be returning to. Maybe there could even be a whole season on design systems. Let me know what you think.

Oh, and you’ll notice that there’s a transcript for the episode. That’s a no-brainer. I’m a big fan of the spoken word, but it really comes alive when it’s combined with searchable, linkable, accessible text.

Anyway, have a listen and if you’re not already subscribed, pop the RSS feed into your podcast player.

The Request Map Generator is a terrific tool. It’s made by Simon Hearne and uses the WebPageTest API.

You pop in a URL, it fetches the page and maps out all the subsequent requests in a nifty interactive diagram of circles, showing how many requests third-party scripts are themselves generating. I’ve found it to be a very effective way of showing the impact of third-party scripts to people who aren’t interested in looking at waterfall diagrams.

I was wondering… Wouldn’t it be great if this were built into browsers?

We already have a “Network” tab in our developer tools. The purpose of this tab is to show requests coming in. The browser already has all the information it needs to make a diagram of requests in the same that the request map generator does.

In Firefox, there’s a little clock icon in the bottom left corner of the “Network” tab. Clicking that shows a pie-chart view of requests. That’s useful, but I’d love it if there were the option to also see the connected circles that the request map generator shows.

Just a thought.

Trent is about to pop his AEA cherry and give a talk at An Event Apart in Boston. I’m going to attempt to liveblog this:

How many third-party scripts are loading on our web pages these days? How can we objectively measure the value of these (advertising, a/b testing, analytics, etc.) scripts—considering their impact on web performance, user experience, and business goals? We’ve learned to scrutinize content hierarchy, browser support, and page speed as part of the design and development process. Similarly, Trent will share recent experiences and explore ways to evaluate and discuss the inclusion of 3rd-party scripts.

Trent is going to speak about third-party scripts, which is funny, because a year ago, he never would’ve thought he’d be talking about this. But he realised he needed to pay more attention to:

any request made to an external URL.

Or how about this:

A resource included with a web page that the site owner doesn’t explicitly control.

When you include a third-party script, the third party can change the contents of that script.

Here are some uses:

• advertising,
• A/B testing,
• analytics,
• social media,
• content delivery networks,
• customer interaction,
• comments,
• tag managers,
• fonts.

You get data from things like analytics and A/B testing. You get income from ads. You get content from CDNs.

But Trent has concerns. First and foremost, the user experience effects of poor performance. Also, there are the privacy implications.

Why does Trent—a designer—care about third party scripts? Well, over the years, the areas that Trent pays attention to has expanded. He’s progressed from image comps to frontend to performance to accessibility to design systems to the command line and now to third parties. But Trent has no impact on those third-party scripts. That’s very different to all those other areas.

Trent mostly builds prototypes. Those then get handed over for integration. Sometimes that means hooking it up to a CMS. Sometimes it means adding in analytics and ads. It gets really complex when you throw in third-party comments, payment systems, and A/B testing tools. Oftentimes, those third-party scripts can outweigh all the gains made beforehand. It happens with no discussion. And yet we spent half a meeting discussing a border radius value.

Delivering a performant, accessible, responsive, scalable website isn’t enough: I also need to consider the impact of third-party scripts.

Trent has spent the last few months learning about third parties so he can be better equiped to discuss them.

UX, performance and privacy impact

We feel the UX impact every day we browse the web (if we turn off our content blockers). The Food Network site has an intersitial asking you to disable your ad blocker. They promise they won’t spawn any pop-up windows. Trent turned his ad blocker off—the page was now 15 megabytes in size. And to top it off …he got a pop up.

Privacy can harder to perceive. We brush aside cookie notifications. What if the wording was “accept trackers” instead of “accept cookies”?

Remarketing is that experience when you’re browsing for a spatula and then every website you visit serves you ads for spatula. That might seem harmless but allowing access to our browsing history has serious privacy implications.

Web builders are on the front lines. It’s up to us to advocate for data protection and privacy like we do for web standards. Don’t wait to be told.

Categories of third parties

Ghostery categories third-party providers: advertising, comments, customer interaction, essential, site analytics, social media. You can dive into each layer and see the specific third-party services on the page you’re viewing.

Analyse and itemise third-party scripts

We have “view source” for learning web development. For third parties, you need some tool to export the data. HAR files (HTTP ARchive) are JSON files that you can create from most browsers’ network request panel in dev tools. But what do you do with a .har file? The site har.tech has plenty of resources for you. That’s where Trent found the Mac app, Charles. It can open .har files. Best of all, you can export to CSV so you can share spreadsheets of the data.

You can visualise third-party requests with Simon Hearne’s excellent Request Map. It’s quite impactful for delivering a visceral reaction in a meeting—so much more effective than just saying “hey, we have a lot of third parties.” Request Map can also export to CSV.

Know industry averages

Trent wanted to know what was “normal.” He decided to analyse HAR files for Alexa’s top 50 US websites. The result was a massive spreadsheet of third-party providers. There were 213 third-party domains (which is not even the same as the number of requests). There was an average of 22 unique third-party domains per site. The usual suspects were everywhere—Google, Amazon, Facebook, Adobe—but there were many others. You can find an alphabetical index on better.fyi/trackers. Often the lesser-known domains turn out to be owned by the bigger domains.

News sites and shopping sites have the most third-party scripts, unsurprisingly.

Understand benefits

Trent realised he needed to listen and understand why third-party scripts are being included. He found out what tag managers do. They’re funnels that allow you to cram even more third-party scripts onto your website. Trent worried that this was a Pandora’s box. The tag manager interface is easy to access and use. But he was told that it’s more like a way of organising your third-party scripts under one dashboard. But still, if you get too focused on the dashboard, you could lose focus of the impact on load times. So don’t blame the tool: it’s all about how it’s used.

Take action

Establish a centre of excellence. Put standards in place—in a cross-discipline way—to define how third-party scripts are evaluated. For example:

1. Determine the value to the business.
2. Avoid redundant scripts and services.
3. Fit within the established performance budget.
4. Comply with the organistional privacy policy.

Document those decisions, maybe even in your design system.

Also, include third-party scripts within your prototypes to get a more accurate feel for the performance implications.

On a live site, you can regularly audit third-party scripts on a regular basis. Check to see if any are redundant or if they’re exceeding the performance budget. You can monitor performance with tools like Calibre and Speed Curve to cover the time in between audits.

Make your case

Do competitive analysis. Look at other sites in your sector. It’s a compelling way to make a case for change. WPO Stats is very handy for anecdata.

You can gather comparative data with Web Page Test: you can run a full test, and you can run a test with certain third parties blocked. Use the results to kick off a discussion about the impact of those third parties.

Talk it out

Work to maintain an ongoing discussion with the entire team. As Tim Kadlec says:

Everything should have a value, because everything has a cost.

I wrote about Google Analytics yesterday. As usual, I syndicated the post to Ev’s blog, and I got an interesting response over there. Kelly Burgett set me straight on some of the finer details of how goals work, and finished with this thought:

You mention “delivering a performant, accessible, responsive, scalable website isn’t enough” as if it should be, and I have to disagree. It’s not enough for a business to simply have a great website if you are unable to understand performance of channel marketing, track user demographics and behavior on-site, and optimize your site/brand based on that data. I’ve seen a lot of ugly sites who have done exceptionally well in terms of ROI, simply because they are getting the data they need from the site in order make better business decisions. If your site cannot do that (ie. through data collection, often third party scripts), then your beautifully-designed site can only take you so far.

That makes an excellent case for having analytics. But that’s not necessarily the same as having Google analytics, or even JavaScript-driven analytics at all.

By far the most useful information you get from analytics is around where people have come from, where did they go next, and what kind of device are they using. None of that information requires JavaScript. It’s all available from your server logs.

I don’t want to come across all old-man-yell-at-cloud here, but I’m trying to remember at what point self-hosted software for analysing your log traffic became not good enough.

Here’s the thing: logging on the server has no effect on the user experience. It’s basically free, in terms of performance. Logging via JavaScript, by its very nature, has some cost. Even if its negligible, that’s one more request, and that’s one more bit of processing for the CPU.

All of the data that you can only get via JavaScript (in-page actions, heat maps, etc.) are, in my experience, better handled by dedicated software. To me, that kind of more precise data feels different to analytics in the sense of funnels, conversions, goals and all that stuff.

So in order to get more fine-grained data to analyse, our analytics software has now doubled down on a technology—JavaScript—that has an impact on the end user, where previously the act of observation could be done at a distance.

There are also blind spots that come with JavaScript-based tracking. According to Google Analytics, 0% of your customers don’t have JavaScript. That’s not necessarily true, but there’s literally no way for Google Analytics—which relies on JavaScript—to even do its job in the absence of JavaScript. That can lead to a dangerous situation where you might be led to think that 100% of your potential customers are getting by, when actually a proportion might be struggling, but you’ll never find out about it.

Related: according to Google Analytics, 0% of your customers are using ad-blockers that block requests to Google’s servers. Again, that’s not necessarily a true fact.

So I completely agree than analytics are a good thing to have for your business. But it does not follow that Google Analytics is a good thing for your business. Other options are available.

I feel like the assumption that “analytics = Google Analytics” is like the slippery slope in reverse. If we’re all agreed that analytics are important, then aren’t we also all agreed that JavaScript-based tracking is important?

In a word, no.

This reminds me of the arguments made in favour of intrusive, bloated advertising scripts. All of the arguments focus on the need for advertising—to stay in business, to pay the writers—which are all great reasons for advertising, but have nothing to do with JavaScript, which is at the root of the problem. Everyone I know who uses an ad-blocker—including me—doesn’t use it to stop seeing adverts, but to stop the performance of the page being degraded (and to avoid being tracked across domains).

So let’s not confuse the means with the ends. If you need to have advertising, that doesn’t mean you need to have horribly bloated JavaScript-based advertising. If you need analytics, that doesn’t mean you need an analytics script on your front end.

Hell is other people’s JavaScript.

There’s nothing quite so crushing as building a beautifully performant website only to have it infested with a plague of third-party scripts that add to the weight of each page and reduce the responsiveness, making a mockery of your well-considered performance budget.

Trent has been writing about this:

My latest realization is that delivering a performant, accessible, responsive, scalable website isn’t enough: I also need to consider the impact of third-party scripts.

He’s started the process by itemising third-party scripts. Frustratingly though, there’s rarely one single culprit that you can point to—it’s the cumulative effect of “just one more beacon” and “just one more analytics script” and “just one more A/B testing tool” that adds up to a crappy experience that warms your user’s hands by ensuring your site is constantly draining their battery.

Actually, having just said that there’s rarely one single culprit, Adobe Tag Manager is often at the root of third-party problems. That and adverts. It’s like opening the door of your beautifully curated dream home, and inviting a pack of diarrhetic elephants in: “Please, crap wherever you like.”

But even the more well-behaved third-party scripts can get out of hand. Google Analytics is so ubiquitous that it’s hardly even considered in the list of potentially harmful third-party scripts. On the whole, it’s a fairly well-behaved citizen of your site’s population of third-party scripts (y’know, leaving aside the whole surveillance capitalism business model that allows you to use such a useful tool for free in exchange for Google tracking your site’s visitors across the web and selling the insights from that data to advertisers).

The initial analytics script that you—asynchronously—load into your page isn’t very big. But depending on how you’ve configured your Google Analytics account, that might just be the start of a longer chain of downloads and event handlers.

Ed recently gave a lunchtime presentation at Clearleft on using Google Analytics—he professes modesty but he really knows his stuff. He was making sure that everyone knew how to set up goals’n’stuff.

As I understand it, there are two main categories of goals: events and destinations (there are also durations and pages, but they feel similar to destinations). You use events to answer questions like “Did the user click on this button?” or “Did the user click on that search field?”. You use destinations to answer questions like “Did the user arrive at this page?” or “Did the user come from that page?”

You can add as many goals to your site’s analytics as you want. That’s an intoxicating offer. The problem is that there is potentially a cost for each goal you create. It’s an invisible cost. It’s paid by the user in the currency of JavaScript sent down the wire (I wish that the Google Analytics admin interface were more like the old interface for Google Fonts, where each extra file you added literally pushed a needle higher on a dial).

It strikes me that the event-based goals would necessarily require more JavaScript in order to listen out for those clicks and fire off that information. The destination-based goals should be able to get all the information needed from regular page navigations.

So I have a hypothesis. I think that destination-based goals are less harmful to performance than event-based goals. I might well be wrong about that, and if I am, please let me know.

With that hypothesis in mind, and until I learn otherwise, I’ve got two rules of thumb to offer when it comes to using Google Analytics:

1. Try to keep the number of goals to a minimum.
2. If you must create a goal, favour destinations over events.