They came for the writers of car brochures, but I wasn’t a writer of car brochures, so I said nothing.
Thursday, September 17th, 2020
Wednesday, July 29th, 2020
Design ops on the Clearleft podcast
The latest episode of the Clearleft podcast is out. If you’re a subscriber, it will magically appear in your podcast software of choice using the power of RSS. If you’re not a subscriber, it isn’t too late to change that.
This week’s episode is all about design ops. I began contructing the episode by gathering raw material from talks at Leading Design. There’s good stuff from Kim Fellman, Jacqui Frey, Courtney Kaplan, and Meredith Black.
But as I was putting the snippets together, I felt like the episode was missing something. It needed a bit of oomph. So I harangued Andy for some of his time. I wasn’t just fishing for spicy hot takes—something that Andy is known for. Andy is also the right person to explain design ops. If you search for that term, one of the first results you’ll get is a post he wrote on the Clearleft blog a few years back called Design Ops — A New Discipline.
I remember helping Andy edit that post and I distinctly recall my feedback. The initial post didn’t have a definition of the term, and I felt that a definition was necessary (and Andy added one to the post).
My cluenessness about the meaning of terms like “design ops” or “service design” isn’t some schtick I’m putting on for the benefit of the podcast. I’m genuinely trying to understand these terms better. I don’t like the feeling of hearing a term being used a lot without a clear understanding of what that term means. All too often my understanding feels more like “I think I know it means, but I’m not sure I could describe it.” I’m not comfortable with that.
Making podcast episodes on these topics—which are outside my comfort zone—has been really helpful. I now feel like I have a much better understanding of service design, design ops and other topical terms. I hope that the podcast will be just as helpful for listeners who feel as bamboozled as I do.
The secret of design being useful in many places is not talking about design too much and just getting on with it. I sometimes think we create significant language barriers with job titles, design theory and making people learn a new language for the privilege of working with us.
I think there’s some truth to that. Andy disagrees. Strongly.
In our chat, Andy and I had what politicians would describe as “a robust discussion.” I certainly got some great material for the podcast (though some of the more contentious bits remain on the cutting room floor).
Calling on Andy for this episode was definitely the right call. I definitely got the added oomph I was looking for. In fact, this ended up being one of my favourite episodes.
There’s a lot of snappy editing, all in service of crafting a compelling narrative. First, there’s the origin story of design ops. Then there’s an explanation of what it entails. From around the 13 minute mark, there’s a pivot—via design systems—into asking whether introducing a new term is exclusionary. That’s when the sparks start to fly. Finally, I pull it back to talking about how Clearleft can help in providing design ops as a service.
The whole episode comes out at 21 minutes, which feels just right to me.
I’m really pleased with how this episode turned out, and I hope you’ll like it too. Have a listen and decide for yourself.
Thursday, July 23rd, 2020
This is a nifty visual interactive explainer for the language of CSS—could be very handy for Codebar students.
Monday, June 8th, 2020
Nice and straightforward. Locally:
git branch -m master main
git push -u origin main
Then on the server:
git branch -m master main
git branch -u origin/main
On github.com, go into the repo’s settings and update the default branch.
Thanks for this, Scott!
P.S. Don’t read the comments.
Tuesday, May 5th, 2020
I think Simon is onto something here. While the word “performance” means something amongst devs, it’s too vague to be useful when communicating with other disciplines. I like the idea of using the more descriptive “page speed” or “site speed” in those situations.
Web Performance and Web Performance Optimization are still valid and descriptive terms for our industry, but we might benefit from a change to our language when working with others. The language we use could be critical to the success of making the web a faster and more accessible place.
Sunday, March 8th, 2020
“Serverless”, is a buzzword. We can’t seem to agree on what it actaully means, so it ends up meaning nothing at all. Much like “cloud” or “dynamic” or “synergy”. You just wait for the right time in a meeting to drop it, walk to the board and draw a Venn Diagram, and then just sit back and wait for your well-deserved promotion.
That’s very true, and I do not like the term “serverless” for the rather obvious reason that it’s all about servers (someone else’s servers, that is). But these three principles are handy for figuring out if you’re building with in a serverlessy kind of way:
- You have no knowledge of the underlying system where your code runs.
- Scaling is an intrinsic attribute of the technology; so much so that it just happens automatically.
- You only pay for what you use.
Abstraction; scale; consumption.
Tuesday, March 3rd, 2020
I can see this coming in very handy at Codebar—pop any CSS selector in here and get a plain English explanation of what it’s doing.
Monday, February 24th, 2020
It may be the end of the world as we know it, but other worlds are possible.
Thursday, February 20th, 2020
The characteristica universalis and the calculus racionator of Leibniz.
Saturday, February 15th, 2020
- Write Chronologically, Not Spatially
- Write Left to Right, Top to Bottom
- Don’t Use Colors and Icons Alone
- Describe the Action, Not the Behavior
Monday, February 3rd, 2020
We’ve industrialized design and are relegated to squeezing efficiencies out of it through our design systems. All CSS changes must now have a business value and user story ticket attached to it.
Dave follows on from my post about design systems and automation.
At the same time, I have seen first hand how design systems can yield improvements in accessibility, performance, and shared knowledge across a willing team. I’ve seen them illuminate problems in design and code. I’ve seen them speed up design and development allowing teams to build, share, and validate prototypes or A/B tests before undergoing costly guesswork in production. There’s value in these tools, these processes.
Wednesday, January 29th, 2020
Architects, gardeners, and design systems
I compared design systems to dictionaries. My point was that design systems—like language—can be approached in a prescriptivist or descriptivist manner. And I favour descriptivism.
A prescriptive approach might give you a beautiful design system, but if it doesn’t reflect the actual product, it’s fiction. A descriptive approach might give a design system with imperfections and annoying flaws, but at least it will be accurate.
I think it’s more important for a design system to be accurate than beautiful.
Meanwhile, over on Frank’s website, he’s been documenting the process of its (re)design. He made an interesting comparison in his post Redesign: Gardening vs. Architecture. He talks about two styles of writing:
In interviews, Martin has compared himself to a gardener—forgoing detailed outlines and overly planned plot points to favor ideas and opportunities that spring up in the writing process. You see what grows as you write, then tend to it, nurture it. Each tendrilly digression may turn into the next big branch of your story. This feels right: good things grow, and an important quality of growth is that the significant moments are often unanticipated.
On the other side of writing is who I’ll call “the architect”—one who writes detailed outlines for plots and believes in the necessity of overt structure. It puts stock in planning and foresight. Architectural writing favors divisions and subdivisions, then subdivisions of the subdivisions. It depends on people’s ability to move forward by breaking big things down into smaller things with increasing detail.
It’s not just me, right? It all sounds very design systemsy, doesn’t it?
This is a false dichotomy, of course, but everyone favors one mode of working over the other. It’s a matter of personality, from what I can tell.
Replace “personality” with “company culture” and I think you’ve got an interesting analysis of the two different approaches to design systems. Descriptivist gardening and prescriptivist architecture.
Frank also says something that I think resonates with the evergreen debate about whether design systems stifle creativity:
It can be hard to stay interested if it feels like you’re painting by numbers, even if they are your own numbers.
I think Frank’s comparison—gardeners and architects—also speaks to something bigger than design systems…
I gave a talk last year called Building. You can watch it, listen to it, or read the transcript if you like. The talk is about language (sort of). There’s nothing about prescriptivism or descriptivism in there, but there’s lots about metaphors. I dive into the metaphors we use to describe our work and ourselves: builders, engineers, and architects.
It’s rare to find job titles like software gardener, or information librarian (even though they would be just as valid as other terms we’ve made up like software engineer or information architect). Outside of the context of open source projects, we don’t talk much about maintenance. We’re much more likely to talk about making.
When tech culture only celebrates creation, it risks ignoring those who teach, criticize, and take care of others.
Anyone who’s spent any time working on design systems can tell you there’s no shortage of enthusiasm for architecture and making—“let’s build a library of components!”
There’s less enthusiasm for gardening, care, communication and maintenance. But that’s where the really important work happens.
In her book The Real World of Technology, the metallurgist Ursula Franklin contrasts prescriptive technologies, where many individuals produce components of the whole (think about Adam Smith’s pin factory), with holistic technologies, where the creator controls and understands the process from start to finish.
In that light, design systems take their place in a long history of dehumanising approaches to manufacturing like Taylorism. The priorities of “scientific management” are the same as those of design systems—increasing efficiency and enforcing consistency.
Humans aren’t always great at efficiency and consistency, but machines are. Automation increases efficiency and consistency, sacrificing messy humanity along the way:
Machine with the strength of a hundred men
Can’t feed and clothe my children.
Historically, we’ve seen automation in terms of physical labour—dock workers, factory workers, truck drivers. As far as I know, none of those workers participated in the creation of their mechanical successors. But when it comes to our work on the web, we’re positively eager to create the systems to make us redundant.
The usual response to this is the one given to other examples of automation: you’ll be free to spend your time in a more meaningful way. With a design system in place, you’ll be freed from the drudgery of manual labour. Instead, you can spend your time doing more important work …like maintaining the design system.
You’ve heard the joke about the factory of the future, right? The factory of the future will have just two living things in it: one worker and one dog. The worker is there to feed the dog. The dog is there to bite the worker if he touches anything.
Roll on snare drum.
Thursday, January 23rd, 2020
Web standards, dictionaries, and design systems
Broadly speaking, the W3C followed a specification-first approach. Figure out what should be implemented first and foremost. From this perspective, specs can be seen as blueprints for browsers to work from.
The WHATWG, by contrast, were implementation led. The way they saw it, there was no point specifying something if browsers weren’t going to implement it. Instead, specs are there to document existing behaviour in browsers.
I’m over-generalising somewhat in my descriptions there, but the point is that there was an ideological difference of opinion around what standards bodies should do.
This always reminded me of a similar ideological conflict when it comes to language usage.
Language prescriptivists attempt to define rules about what’s right or right or wrong in a language. Rules like “never end a sentence with a preposition.” Prescriptivists are generally fighting a losing battle and spend most of their time bemoaning the decline of their language because people aren’t following the rules.
Language descriptivists work the exact opposite way. They see their job as documenting existing language usage instead of defining it. Lexicographers—like Merriam-Webster or the Oxford English Dictionary—receive complaints from angry prescriptivists when dictionaries document usage like “literally” meaning “figuratively”.
Dictionaries are descriptive, not prescriptive.
I’ve seen the prescriptive/descriptive divide somewhere else too. I’ve seen it in the world of design systems.
Jordan Moore talks about intentional and emergent design systems:
There appears to be two competing approaches in designing design systems.
An intentional design system. The flavour and framework may vary, but the approach generally consists of: design system first → design/build solutions.
An emergent design system. This approach is much closer to the user needs end of the scale by beginning with creative solutions before deriving patterns and systems (i.e the system emerges from real, coded scenarios).
An intentional design system is prescriptive. An emergent design system is descriptive.
I think we can learn from the worlds of web standards and dictionaries here. A prescriptive approach might give you a beautiful design system, but if it doesn’t reflect the actual product, it’s fiction. A descriptive approach might give a design system with imperfections and annoying flaws, but at least it will be accurate.
I think it’s more important for a design system to be accurate than beautiful.
As Matthew Ström says, you should start with the design system you already have:
Instead of drawing a whole new set of components, start with the components you already have in production. Document them meticulously. Create a single source of truth for design, warts and all.
Wednesday, January 22nd, 2020
Good morning, everybody. It is a real honour to be here. As Simon said, I was here six, seven, eight years ago attending this conference because it’s such a great conference. I’m kind of feeling the pressure now that I’m up here on the stage speaking at this conference. I’m just glad I’m on first so I can get it over with and then listen to all these great talks.
I’m here today to talk to you …which is kind of weird when you think about it. I mean, first, the fact that it’s me up here on the stage through some clerical error.
But also, I’m going to talk to you. I’m going to vibrate air over my vocal cords and move this big meaty piece of flesh inside my jaw up and down vibrating the airwaves and you’re going to listen to me doing that. It seems like a crazy thing to do except for the fact that, of course, I’ll be using language.
Maybe the great distinguishing feature of our species, language. The great leap forward that happened—who knows—50,000, 100,000 years ago when we, as a species, developed language. With language, by moving those vocal cords and that big piece of flesh in my jaw, we can tell stories. I can recount something that happened in the past.
Perhaps more amazingly, we can imagine things that might come to be. I could tell you something that might happen in the future. So language is a kind of time travel.
It’s all possible because we’re speaking the same codebase. The particular language I’m talking now is English. As long as you can decode English then all these noises I’m making will make sense to you even if there isn’t actually any information in the words. I can say Chomsky’s famous one.
Colourless green ideas sleep furiously.
You can parse that. It doesn’t make any sense, but you can parse it.
Most of the time, the sentences we use also convey some kind of information. Language is not just time travel. Language is also communication.
There can be an idea that’s sitting in my head and I’ll, you know, vibrate the air and vocal cords, flap this big fleshy thing in my jaw around, and transfer the idea from my head to your head. Language is almost like a virus. You can’t help but take the idea in.
I can say to you, “Don’t think of an elephant,” right? Now you’ve just thought of an elephant. It’s the language equivalent of the chicken game which, if you haven’t played before, sorry. You’ve just lost.
This sentence, “Don’t think of an elephant,” is actually the title of a book by George Lakoff. George Lakoff is a linguist. He’s written many books. He wrote Women, Fire, and Dangerous Things. He wrote this, Metaphors We Live By, because he’s kind of obsessed with metaphors.
We use metaphor all the time in language. We use conceptual metaphor, so when we take one idea and we use the language of that idea to talk about a different idea. The classic example being something intangible.
Let’s say time. How do we talk about time when we can’t touch it, we can’t feel it, it’s intangible? Well, we use metaphor.
We talk about time as though it’s a physical object moving through space. We say time flies or time drags or we talk about time as though it’s a resource. We talk about saving time, wasting time.
You can’t do any of those things with time. That’s not how time works. But the metaphor is very helpful.
The other kind of metaphor is the cognitive metaphor. This is what George Lakoff is interested in, particularly in things like political language. How we frame a debate can tip the scales of how that debate would unfold. If we were about to have a debate about tax relief, well, before the debate has even begun, we’ve framed taxation as something you need relief from and the scales have been tipped.
I’m very interested in this idea of metaphor, analogy, and simile and how we talk about the work we do. It’s such a young industry. What we do is we borrow from other industries. We’re not the first to do this. There’s a great book called Understanding Comics by Scott McCloud. Who’s read Understanding Comics? It’s great.
It’s about comics but, really, it’s just a fantastic book. It’s written as a comic. In it, Scott McCloud makes the point of this new medium, comics, had to kind of borrow from the existing mediums that came before. He points out that this isn’t new. He says:
Each new medium begins its life by imitating its predecessors. Many early movies were like filmed stage plays. Much early television was like radio with pictures.
Right? That it takes time.
Now, this idea of a new medium having to borrow the tropes and the language of the medium that came before, this idea pops up again on the web in this article published in the year 2000 by John Allsopp on A List Apart, A Dao of Web Design. Can I get a show of hands of who’s read A Dao of Web Design? Awesome. You are my people. The rest of you, please read it. It’s such a wonderful article.
It’s crazy that I’m standing up here recommending, “Oh, yeah, you should totally read this article from the year 2000,” but it is relevant. It’s amazingly relevant still today. It’s maybe more relevant today than when it was written. In the article, John says:
When a new medium borrows from an existing one, some of what it borrows makes sense, but much of the borrowing is thoughtless, it’s ritual, and it often constrains the new medium. Over time, the new medium develops its own conventions, throwing off existing conventions that don’t make sense.
Now, at the time John was writing this, 2000, of course, we were borrowing from what had come before in the previous medium and that was print. We were trying to figure out how do we get the same level of control that we were used to in the world of print on the web. We did that using clever techniques thanks to David Siegel who wrote this book, Creating Killer Websites. David Siegel, if you don’t know the name, you’re certainly familiar with his work because he’s the guy who came up with the idea of using tables for layout or having a one-pixel by one-pixel spacer
Hey, listen. That was the only way we could do it back then. They were hacks, yes, but they were necessary hacks. He did actually recant. Years later, he wrote a piece that said, the web is ruined and I ruined it. This may be overstating the case, but you know.
He was pointing out we could use these techniques, these hacks to constrain Web and make it work like print. We could get pixel-perfect control. John Allsopp, in his article, he’s kind of pushing against and going, no, no, no:
The web is a new medium. It has emerged from the medium of printing whose skills and design language and convention strongly influence it. It is too often shaped by that from which it sprang. Killer websites are usually those which tame the wildness of the web, constraining pages as if they were made of paper. Desktop publishing for the web.
So, I mean, John totally acknowledges that there is a lot to learn from this rich, rich history of print and, before print, just writing. This is clearly the second great leap of our species. We had language where we could communicate ideas, tell stories, imagine the future—as long as we’re in the same physical space—and then we came up with writing. Now we can communicate, re-viral ideas, talk about the future and the past, and we don’t even have to be in the same physical place. Someone who died centuries ago can put an idea in your head by putting language onto a medium like vellum or, later, paper.
You can see this evolution over centuries from illuminated manuscripts to the printing press, Gutenberg, until we get to the 20th Century and we really start to refine the design. We got the Swiss School of Design, the fonts, typography, and the grid system. There’s a lot to learn here.
What’s interesting to me, though, is what seems to be this battle of extremes. We’ve got David Siegel talking about desktop publishing for the web, effectively, and John Allsopp talking about, “No, the web is its own medium. It needs to have its own conventions.”
They seem to be at opposite ends of a spectrum. Yet, they actually have a commonality because, on both sides, when they’re talking about this, they’re talking about websites — web sites. Now, that in itself is a metaphor. You don’t have physical sites on the web. It’s intangible like time. Yet, we chose this metaphor. The idea of a site, a place where you go to a physical place.
Site actually is pretty good with connotations of a building site, a construction site. That was literally the metaphor in the ’90s. The web is like a construction site. It kind of is constantly under construction. Oh, you want the full nostalgic effect?
There we go. We’re back to Geocities. But I feel like then we decided to grow out of this metaphor and use more grownup metaphors. We got professional. We had to borrow from other industries, other mediums, and here’s one that people are very fond of borrowing: architecture—describing what we do as architecture.
Whether it’s on the design side or the development side, talking about us as architects. It seems like a very appealing industry to borrow from, which is fascinating. If you ever talk to architects, man, it’s a shitty industry. Spec work, awards, and competition, it’s not a great industry.
But we seem to hold it up as, like, “Oh, yeah, we’re like architects because architects are awesome.” I think of Hollywood because every Hollywood movie that has an architect in it, the architects are always really nice people. They’re always like the protagonist, never the antagonist. The architect is never the villain.
It’s fair enough. It’s fair enough to borrow things from something like architecture. For example, I know plenty of designers who would say that this book is the best book about UX that they’ve ever read, 101 Things I Learned in Architecture School by Matthew Frederick. It was published in 2007. It’s not written for UX designers. It’s not written about the web, but there are lessons in there that are directly applicable.
There are other works from the world of architecture that have definitely influenced the work we are doing today like the classic from Christopher Alexander, A Pattern Language. Now this—I say classic rightly—this is a classic book. A classic book is a book everyone has heard of and nobody has read.
That is certainly the case here. Published in 1977, and it influenced lots of people doing things in the digital space. Ward Cunningham, the inventor of the wiki, he said, yeah, he was really influenced by A Pattern Language.
The idea of a pattern language, it’s architecture, but breaking things down into components that you could change the parameters we used in public spaces, buildings, things like that. It’s a modular approach. Later on, in the software world, a gang of four, they wrote Design Patterns: Elements of Reusable Object-Oriented Software, and they were directly influenced by Christopher Alexander, this idea of a pattern language, components, patterns, modularity.
What’s interesting is there’s another book by Molly Wright Steenson, you may remember was a blogger, Girl Wonder. She worked in the world of architecture and she’s written a book about the influence of architects and designers on the digital space. Richard Saul Wurman, and information architecture. There’s a very direct metaphor there, but also Christopher Alexander.
She points out, actually, the funny thing is, he’s had way more of an influence in the digital space than he ever had in architecture. Most architects don’t like him. They think he’s a bit preachy. But his influence in the digital space is massive. Here I am talking about modularity, components, and patterns. Well, I mean, that is so hot right now. Design systems, we’re breaking things down into patterns. In fact, I ended up organizing a conference in 2017, purely about design systems, pattern libraries, styles, all this stuff called Patterns Day. It was great. We had these wonderful speakers. Jina Anne was there, Rachel Andrew, Alla Kholmatova, Alice Bartlett. It was great.
But, by the end of the day, I was kind of half-joking as saying, we should have had a drinking game where, every time someone referenced Christopher Alexander, we had to take a drink because his spirit loomed large over this. Actually, the full rules of the drinking game I came up with afterward where any time someone references Christopher Alexander, you take a drink. Any time someone says Lego, you take a drink. Any time someone says that naming things is hard, take a drink. Any time someone says atomic or atomic design, take a drink. Anytime someone says bootstrap, you puke the drink back up.
A Pattern Language is a work of architecture that directly not just influenced but is still influencing our work today; the idea of breaking things down into components to reuse.
Now, there’s another work from the world of architecture that has a big influence on me. It’s a classic book, again, How Buildings Learn. It’s the best book I’ve never read, published in 1994, by Stewart Brand. There was also a TV series that went with this that’s pretty fascinating.
In this, he talks about the work of a British architect named Frank Duffy and Duffy’s idea of something he called shearing layers. What Duffy said was that a building properly conceived is several layers of longevity. He kind of broke these down. You’ve got the sites that the building is on. We’re talking about geological time scales.
Then above that, the structure you hope will last for centuries. Then you’ve got the infrastructure inside the building that you might have to swap out every few decades. Change the plumbing. Then you’ve got the walls and the doors. You can change them every so often until you get into the room. You’ve got furniture, which you can move on a daily basis.
The time scales get faster as you move inward. He diagrammed it like this. This is shearing layers diagrammed for the building. I find this really interesting, this idea of different time scales.
But there’s another factor here I’m kind of fascinated by, which is that each layer depends on the layer below. You can’t have a structure until you’ve got a site to build on. You can’t have furniture inside a room until you’ve got the room. You need to have the walls there. Each layer is building on top of what’s come before. You can’t jump straight ahead to furniture without first having all those other layers.
Now, this reminds me of another idea that the writer Steven Johnson talks about a lot in his work, for example, this book, Where Good Ideas Come From. This is the idea of the adjacent possible, that certain inventions leap forward that can’t happen until other things have happened before them.
There’s a reason why the microwave oven wasn’t invented in medieval France. Too many other things had to be invented first before something like the microwave oven becomes inevitable.
Everything we do is kind of built on this idea of the adjacent possible because businesses and services on the web are on top of a whole bunch of layers of adjacent possibilities. You can’t have Twitter, Facebook, or Wikipedia until the web exists. The web itself is built on all of these layers that have to happen first.
We have to have the Industrial Revolution. We have to have electricity. Then somebody has to create circuitry. We have to get to the idea of having computers and then networked computers, something like the Internet. Then the web becomes possible. Once the web is possible, then all these businesses on top of the web become possible.
This idea of the adjacent possible, the shearing layers, they kind of fascinate me because I’m seeing a parallel there.
Now, Stewart Brand, who wrote about shearing layers and architecture, he revisited this idea of shearing layers and took them out from the world of architecture in a later work called The Clock of the Long Now. Stewart Brand is one of the founders of the Long Now Foundation. If you haven’t heard of it, it’s an organization dedicated to long-term thinking. I’m a card-carrying member. The card is designed to last for a few thousand years as well.
They’re currently building a clock that will tell time for 10,000 years. Brian Eno has written an algorithm for the chimes so that when it chimes once a century, it will never be quite the same chime. It’s encouraging long now thinking.
In this book, the full title of the book being The Clock of the Long Now: Time and Responsibility: The Ideas Behind the World’s Slowest Computer, he extrapolates shearing layers into something he calls pace layers. If you take the shearing layers model and look around you, it’s everywhere. It’s kind of like systems thinking, the Donella Meadows idea that systems are everywhere.
It’s kind of true. You look around these pace layers; shearing layers applied to the real world are everywhere. The example he gives is our species. If we look at the human race, we have these different time scales. The slowest is our physical nature as in our DNA, our physiological nature. That takes millennia to change. Physiologically, there’s no difference between a caveman and a spaceman.
Above that, you’ve got culture. This takes centuries, maybe longer, to accumulate over time.
Then systems of governance; not governments — governance. How are we going to run the societies?
An infrastructure, you want that to move faster, but not too fast or it could be very disruptive. Then you get into commerce, trading. Very fast-moving.
Then, finally, you’ve got fashion, which is super-fast. By fashion, he means things like popular music, anything that’s supposed to move fast. If fashion moved slowly, that wouldn’t be a good thing. It’s meant to move fast. It’s meant to try things out. “What about this? No, what about this? Try this.” Right? You don’t want for the things further down.
He’s mapped this onto these layers. From shearing layers, we go to pace layers. They have different timescales.
I’m talking about the difference between these really fast layers at the top, you know, “What about this? Try this? Today, we’re doing that,” compared to the really slow layers at the bottom that move slowly and are resistant to change.
Fast learns but slow remembers. Fast proposes and slow disposes. Fast is discontinuous but slow is continuous. Fast and small instructs slow and big by a crude innovation, an occasional revolution, and slow and big controls small and fast by constraint and constancy. Fast gets all our attention, but slow has all the power.
Now, once I was exposed to this idea and this virus had landed in my head, I found that I couldn’t get it out of my head. I started seeing pace layers everywhere. At Clear Left, where I work, it’s a running joke. On every project, we have a kickoff. It’s like, what’s the time to pace layers? How long will it be before someone makes a pace layer analogy? It’s like my brain has now been rewired to see pace layers everywhere.
It’s like, you know, the first time that someone points out the arrow in the FedEx logo. There was your life before that and there’s your life after that.
You’ve all seen the arrow in the FedEx logo. Yeah.
What about Toblerone? You’ve all seen the bear? Ah, yeah! Right? You will never be able to unsee that.
Consider the duck.
It’s a perfectly normal, ordinary duck. Agreed? But then your brain is exposed to the idea that all ducks are actually wearing dog masks.
All ducks are actually wearing dog masks. Now, when I show you the same picture of the same duck—
—you will never be able to unsee that. That’s how my brain feels when it comes to pace layers. I see them everywhere. It’s like the crazy wall part of the serial killer’s lair in the murder mystery. It’s just pace layers.
I couldn’t help but apply pace layers to the work we do mapping our medium to pace layers. Let’s try it with the World Wide Web.
Well, we build on top of the Internet. We can’t have the web before having Internet. At the very bottom layer, you’ve got the protocols of the Internet itself, you know, TCP/IP, which have been pretty much unchanged for decades. They were there from the ARPANET before the Internet. It’s a good thing that they’re unchanged. You would not want to be swapping out that low layer very quickly.
Above that, we have all the different protocols we use, protocols for email, protocols for file transfer, and protocols for the World Wide Web, HTTP, the hypertext transfer protocol. Now, this has evolved over time. We now have HTTP2, but it’s been a slow process and that feels right. Again, we shouldn’t be swapping out too quickly, but it’s a bit faster moving than the Internet protocols. On top of HTTP, we can put our URLs. Now, I would love it if URLs were right down at the bottom layer and they were permanent and they never changed and they never went away. That is the web I want, but I must acknowledge that, alas, you have to work hard to keep URLs alive. They do change. They do move. They do get destroyed, which is a bit of a shame, but we can work at it, people. We can work on keeping our URLs alive.
What we put at that those URLs, at the simplest level, we’ve got HTML. It was there from the start. From day one of the web, HTML was there and it’s still there today, but it’s evolved. It’s changed over time. Initially, HTML had 21 elements and now it’s got 121 elements, so it’s evolved.
But it feels like you can keep up with the pace of change. The last big evolution of HTML was 2010, later, with HTML5. We do get new editions every now and then, but it’s fine. We can keep up with it.
Then CSS, CSS changes may be more — definitely changes more rapidly than HTML. That feels like a good thing. We kind of want more. Give us some more CSS and now we’ve got Grid and we’ve got Flexbox. We’ve got all these great, new CSS things. Custom properties.
I don’t feel too overwhelmed by that. I still feel like, “Oh, no, this is good. We’ve got new CSS. I’m feeling I can keep on top of this, you know, read the right articles, read the right books, try them out. It’s fine.”
The pace, I constantly feel like I’m falling behind like, “Oh, I haven’t even heard of this new thing that apparently everybody is using.”
Does anyone else feel overwhelmed by this pace of change? Okay, good. Keep your hands up for a sec and just look around. All right? You are not alone. This turns out to be normal.
Whereas, “Oh, okay. It’s supposed to move fast. It would be bad if it moved slow. It’s meant to be trying stuff out. We see what sticks.”
required attribute. The pattern, it stuck. The spaghetti stuck to the wall and it moved down the layers into something more stable.
Now, the other thing I realized by mapping our technology stack of the web onto this pace layer model is that this is how I build. When I’m building a website, I pretty much start at the third layer. I don’t worry about, is the Internet on.
This seems to me to make sense as a way of building on the web because it maps to the structure of the pace layers of the web. But it’s also a testament to the flexibility of the web that you don’t have to build this way. If you don’t want to build in this layered way, you don’t have to.
Now, this model makes complete sense in other mediums. I think other mediums have influenced our thinking on the web. Maybe we’ve borrowed the metaphors of these other mediums.
For example, if you’re building a native app, this makes complete sense. If you’re building an iOS app and I have an iOS device, it works great. I get 100% of what you designed. But if you build an iOS app and I have, say, an Android device, it doesn’t work at all. You can’t install an iOS app onto an Android device. Those are your options: either it works great or it doesn’t work at all. This mental model makes complete sense in that field.
On the web, because we can have this layered approach, that means we can build like this. We can go from something that doesn’t work at all to something that just about works—maybe it’s just text on a screen—to something that works fine—maybe it’s missing a bunch of behaviors, but the user can accomplish what they want to do—to something that works well, but maybe the latest and greatest browser APIs aren’t supported by a particular browser—and then to something that works great like the latest browser running the best device, great network.
Most people are going to be somewhere on this continuum. Maybe nobody is going to get 100% of what you hope they get, but no one is going to get zero percent either as long as you’re building in this way, as long as you’re building with the grain of the web, building in layers, one thing on top of the other.
I’m going to quote Ethan here. Hi, Ethan. Ethan said:
In a way, this is a way of busting assumptions, the what-ifs. What if something isn’t supported? By building in a layered way, it’s okay. Everything will fall back to the layer below, the adjacent possible.
Now, Ethan, of course, we all know from this article, Responsive Web Design, published on A List Apart. When was that? 2010. My God, nine years ago. Ten years after, John Allsopp published A Dao of Web Design on A List Apart. One of the first things Ethan does in this article is to reference A Dao of Web Design. You could say that Ethan was building on top of that foundational layer that was set by John Allsopp.
Architecture again. Responsive web design. The reason why Ethan chose that term was because there was this idea in architecture called responsive architecture about buildings that could respond to the conditions of the people in the buildings. That made a really good metaphor for talking about the web on large screens, small screens, and everything in between.
This architecture thing, as a metaphor, it’s not bad. We can learn from it. I think, just be careful not to take it too far.
It’s not the only metaphor we use. Here’s another one. When we don’t talk about ourselves as architects, we’re engineers. Yeah.
It sounds good. This one predates the web. We’ve been talking about the idea of software engineering for a long time. I’m very partial to this term: software engineering. Not so much for the term itself. Not that I think it’s a particularly good metaphor, but from where it comes from, which is fricken’ awesome.
The term “software engineering” comes from Margaret Hamilton. Margaret Hamilton was in charge of the onboard flight software on the Apollo moon landing. This is engineering. That is the code base she’s standing next to there, which would then literally be woven into the computers onboard Apollo.
But as a metaphor, engineering, well, there’s a whole bunch of different kinds of it. What kind of engineer are we talking about here? Is it material engineering, structural engineering, chemical engineering, aeronautical engineering? They all have commonalities. One being, as an engineer, you’ve got to know two things. There’s the materials you’re going to be working with and the tools you’re going to use to shape those materials.
These are obvious tools we use to build the web, but there are less obvious tools. If you were working on a Web project, these tools also get used. You’re going to be talking over email. You’re going to be communicating over Slack, organizing spreadsheets, spreadsheets people.
We talk about these as productivity tools, though sometimes I know it feels like they are reducing productivity rather than increasing it. But it’s kind of a misnomer when you think about productivity tools. All tools are productivity tools. That’s literally what tools are for is to make you more productive.
I think we should acknowledge that these are legitimate design tools. You can’t launch a project without putting in some time and some kind of communication tool.
Then when it comes to the actual welding of these materials, we’ve got a whole bunch of tools that sit in our machines or sit in our Web servers. Now I feel like I’m back up at that top layer of the pace layers and I’m getting overwhelmed with the task runners, the build tools, the chains, the transpilers, and the preprocessors. Apparently, it changes every week. Oh, you’re still using Grunt? No, we’re using Gulp. No, Webpack. That’s what’s so overwhelming.
It also feels like it’s quite complicated. This is complicated stuff, but it’s like we’ve chosen it. We’ve chosen to make our lives complicated, in a way.
I’ll tell you what it reminds me of. Do you remember that startup, Juicero?
Where they sold a big, expensive, complicated machine to make juice, but you had to buy exactly the right juice packets to put in the big, expensive machine to make the juice. It works. It works great. The big, expensive, complicated machine does its job but somebody noticed that you could actually just take the packets and squeeze them by hand and it still produces juice. I’m just saying that squeezing by hand is still an option. You can build websites by squeezing by hand. (I think this metaphor has been stretched just about as far as it can do, so I will leave it there.)
There’s this other kind of spectrum, I guess, between the materials and the tools and then the people that will be exposed to the materials and the tools. They kind of fall into two categories: the engineers themselves and the end-users.
When we’re evaluating our tools and asking, “Is this the right tool to use?” we should evaluate it from our perspective, yes, “Is this going to be a helpful tool to me as an engineer?” if we’re using that metaphor. But I strongly feel we should also ask, “Is this going to be useful for the end-user?”
If those two things come into conflict, what then? Do we privilege our own experience over the user experience? I would hope not. I worry that, in a lot of tool choices, particularly on stuff that gets sent down to the browser. “Oh, I’m going to use a CSS framework.” Great. Good for you. That’s helping you out but now the user has to pay the cost of the benefit that you get from that CSS framework because they have to download the whole CSS framework.
Sometimes, these things come into conflict and I feel like maybe we privileged the developer experience over the user experience and that worries me. The other time they don’t come into conflict. All those tools like preprocessors and task runners that just sit on your own computer, no direct effect on the end-user experience. Frankly, use whatever you like. It doesn’t make a direct effect on the end-user experience.
When we’re evaluating tools, there are all these questions to ask. Who benefits from the tool? If I choose to use this tool, will it benefit the users? Will it benefit the engineers? Neither? Both?
There are other questions we ask like, well, just how good is this tool? To evaluate that we ask; yeah, how well does it work? Does this tool do what it says it will do well?
This, of course, is a completely valid question to ask but there’s a corollary that I think is more valid and that’s to ask not just how well does it work but how well does it fail?
What happens when something goes wrong?
These technologies on the web, they fail well by design. CSS fails well. Use a CSS property the browser doesn’t understand or CSS value. The browser just ignores it. It fails well.
HTML: Make up an HTML element. Throw it into a webpage. The browser doesn’t throw an error. The browser doesn’t stop parsing the webpage. It just ignores it and moves on. It fails well.
It actually makes sense to not jump ahead to the powerful stuff, to the top of the pace layers, but to try and build in layers and stay low for as long as possible. This is actually a principle, a principle that underlies the architecture of the web itself called the Principle of Least Power. You should choose the least powerful language for a given purpose, which seems really counterintuitive.
Why would I choose the least powerful language to do something? Surely, I want more power. The idea here is the power comes at an expense. Power comes at the expense of complexity, fragility. The more powerful technology is maybe more likely to fail badly.
Derek Featherstone put it well. He said:
:hover - done. Right? Oh, you need to make an interactive button? Use the
button element. Be lazy.
This makes a lot of sense, the Principle of Least Power. It makes a lot of sense to me on the web, especially when you combine it with a universal law that definitely applies on the web, and that’s Murphy’s Law:
Anything that can possibly go wrong will go wrong.
This comes directly from the world of engineering. Edward Aloysius Murphy Jr. was an aerospace engineer. It’s because he had this attitude, he never lost anybody on his watch.
I think we tend to dismiss things going wrong as edge cases. We kind of assume the average output. Other industries, when they’re making cars, they test them. They strap crash test dummies in. They smack them into walls at high speed.
To be fair, a lot of the reason why they have to do that is because of regulation. They didn’t necessarily choose to do it, but still. Can you imagine if they went, well, actually, we realize that most people are going to drive cars on roads and people driving into walls is an edge case, so we’re not going to worry too much about that?
Now, obviously, you want to hope for the best but you should prepare for the worst. Trent Walton said:
Like cars designed to perform in extreme heat or on icy roads, websites should be built to face the reality of the web’s inherent variability.
The web’s inherent variability, that gets to the heart of it.
Dave Siegel was trying to battle with the pixel-perfect labels was the web’s inherent variability. What John Allsopp was calling was for us to embrace the web’s inherent variability. It’s a feature, not a bug.
Are we engineers? Can we call ourselves engineers? Well, let me tell you something from the world of structural engineering.
This is the plan for the Quebec Bridge in Canada, a cantilever bridge. Construction started at the start of the 20th Century. There was a competition to see who get to design and build a bridge because that’s the way the industry works.
The engineer in charge was named Theodore Cooper. Now, originally, the bridge was meant to be 490 meters long but Theodore Cooper changed the specification to make it 550 meters long, mostly because, up in Scotland, the Firth of Forth Bridge, that was the longest bridge in the world at the time, longest cantilever. He wanted this bridge to exceed that, so he made the bridge longer but he did not recalculate the already high stresses being placed on the material of the bridge.
Oh, also, Theodore Cooper refused to work on site. He was down in New York, supposedly overseeing construction from New York. And when it was proposed that somebody should check his calculations, he took that as a personal afront and said, “No, no, no. No, no, that won’t work,” so there was no code reviews happening on this project.
Now, someone was onsite, the young engineer named Norman McLure. By 1907, August 6th, he had started to notice that the steel was bending, getting a lot of stress. Then again, on August 27th, it had got worse.
Cooper was notified down in New York. He did send a telegram back to Quebec. He said, “Place no more load on Quebec bridge until all facts considered - stop.” But he was inferring that the work should stop. He never explicitly said, “Stop the work right now,” so the telegram was ignored and work continued.
On August 29th, 1907, the bridge collapsed. It was shortly before the end of the day. The whistle was just about to blow to signal the end of the working day. There were 86 workers on the bridge and 75 of them died.
Now, something started happening in Canada a few years after this, by 1925. Engineering schools in Canada started holding private ceremonies around graduation time. This was a ceremony that was separate from qualifications. This wasn’t about whether you were qualified to be an engineer. This was called The Ritual of the Calling of the Engineer. You would speak an obligation penned by Rudyard Kipling, which I won’t repeat here because it’s meant to stay within the confines of this ritual.
You would also receive an iron ring. This iron ring would be a symbol of pride of being an engineer, but also a symbol of humility. For the longest time, the myth persisted that the iron itself was made from the steel in the Quebec Bridge. It’s not true, but the Quebec Bridge certainly looms over the idea of the iron ring. You’d wear it on the little finger of your working hand, so it would brush against the paper or the computer keyboard during your working day as a constant reminder of your responsibility as an engineer.
When we call ourselves engineers, I do have to ask, have we earned it? Do we take our responsibility seriously?
Maybe we don’t call ourselves engineers, but then what do we call ourselves? Does it even matter?
Well, we could go back to that original metaphor from the ’90s, under construction. Maybe we’re builders. We build things. The web is under construction. We’re the ones constructing it. It’s not so bad, you know, to be the ones literally building the web. It’s kind of awesome when you think about it.
Christopher Alexander, when he was talking about his reason for coming up with A Pattern Language, was because he said:
Most of the wonderful places in the world were not made by architects but by the people.
Maybe we’re at the bottom of the layer stack here as workers just building the web, but maybe we also have all the power — more power than we realize. Our collective power is greater than anything any architect could wield.
Yeah, maybe we’re builders. Maybe we’re bricklayers. I know Simon comes from a long line of bricklayers. It is a noble profession. Think about what our building blocks are, the building blocks of the World Wide Web.
The World Wide Web, I think, is the next great leap forward. We had language, writing, the printing press, and now hypertext in the form of the Word Wide Web. Who gets to build it? We do with this kind of building block: the URL, a link. What an amazing building block that is.
I can make a webpage and put two links on it linking to two different things. That combination of those two links has never existed before in the history of the web. We’ve created something new, link by link, building block by building block, building in layers.
I’m reminded of an apocryphal story may be from medieval times—who knows—a traveler coming across three workers. All three workers are doing the same thing. They’re building. They’re moving stones. They’re putting stones one on top of the other.
The traveler says to the first builder, “What are you doing?”
He says, “Oh, I’m moving stones.”
He says to the second builder, “What are you doing?” He says, “I’m building a wall.”
He says to the third builder, “What are you doing?”
He says, “I’m building a cathedral.”
They’re all doing the same task but thinking about it in different ways. Maybe that’s what we need to do. Forget about labels, metaphors, architecture, engineer, building, whatever. Just think about what a privilege it is to be doing this, to embrace the fact that we are the builders. We are the bricklayers.
Today, for example, we’re going to hear from quite an amazing collection of bricklayers that I’m really looking forward to hearing from. I want to hear what they’re building. I want to hear their stories of how they built it, why they built it.
But to do that, I need to stop moving air over these vocal cords and flapping this fleshy piece of meat around in my mouth and just stop talking. Thank you for listening.
Saturday, November 16th, 2019
An interesting project that will research and document the language used across different design systems to name similar components.
Monday, November 11th, 2019
I have such fondness for this film. It’s one of those films that I love to watch on a Sunday afternoon (though that’s true of so many Spielberg films—Jaws, Raiders Of The Lost Ark, E.T.). I remember seeing it in the cinema—this would’ve been the special edition re-release—and feeling the seat under me quake with the rumbling of the musical exchange during the film’s climax.
Ariel invited Rose Eveleth and Laura Welcher on to discuss the film. They spent a lot of time discussing the depiction of first contact communication—Arrival being the other landmark film on this topic.
If we send a message into space, will extraterrestrial beings receive it? Will they understand?
You can a read an article by the author on The Guardian, where he mentions some of the wilder ideas about transmitting signals to aliens:
Minsky, widely regarded as the father of AI, suggested it would be best to send a cat as our extraterrestrial delegate.
Don’t worry. Marvin Minsky wasn’t talking about sending a real live cat. Rather, we transmit instructions for building a computer and then we can transmit information as software. Software about, say, cats.
It’s not that far removed from what happened with the Voyager golden record, although that relied on analogue technology—the phonograph—and sent the message pre-compiled on hardware; a much slower transmission rate than radio.
But it’s interesting to me that Minsky specifically mentioned cats. There’s another long-term communication puzzle that has a cat connection.
The Yukka Mountain nuclear waste repository is supposed to store nuclear waste for 10,000 years. How do we warn our descendants to stay away? We can’t use language. We probably can’t even use symbols; they’re too culturally specific. A think tank called the Human Interference Task Force was convened to agree on the message to be conveyed:
This place is a message… and part of a system of messages… pay attention to it! Sending this message was important to us. We considered ourselves to be a powerful culture.
This place is not a place of honor…no highly esteemed deed is commemorated here… nothing valued is here.
What is here is dangerous and repulsive to us. This message is a warning about danger.
A series of thorn-like threatening earthworks was deemed the most feasible solution. But there was another proposal that took a two pronged approach with genetics and folklore:
- Breed cats that change colour in the presence of radioactive material.
- Teach children nursery rhymes about staying away from cats that change colour.
This is the raycat solution.
Tuesday, August 27th, 2019
Voice User Interface Design by Cheryl Platz
Why make a voice interface?
Successful voice interfaces aren’t necessarily solving new problems. They’re used to solve problems that other devices have already solved. Think about kitchen timers. There are lots of ways to set a timer. Your oven might have one. Your phone has one. Why use a $200 device to solve this mundane problem? Same goes for listening to music, news, and weather.
People are using voice interfaces for solving ordinary problems. Why? Context matters. If you’re carrying a toddler, then setting a kitchen timer can be tricky so a voice-activated timer is quite appealing. But why is voice is happening now?
Humans have been developing the art of conversation for thousands of years. It’s one of the first skills we learn. It’s deeply instinctual. Most humans use speach instinctively every day. You can’t necessarily say that about using a keyboard or a mouse.
Voice-based user interfaces are not new. Not just the idea—which we’ve seen in Star Trek—but the actual implementation. Bell Labs had Audrey back in 1952. It recognised ten words—the digits zero through nine. Why did it take so long to get to Alexa?
In the late 70s, DARPA issued a challenge to create a voice-activated system. Carnagie Mellon came up with Harpy (with a thousand word grammar). But none of the solutions could respond in real time. In conversation, we expect a break of no more than 200 or 300 milliseconds.
In the 1980s, computing power couldn’t keep up with voice technology, so progress kind of stopped. Time passed. Things finally started to catch up in the 90s with things like Dragon Naturally Speaking. But that was still about vocabulary, not grammar. By the 2000s, small grammars were starting to show up—starting an X-Box or pausing Netflix. In 2008, Google Voice Search arrived on the iPhone and natural language interaction began to arrive.
What makes natural language interactions so special? It requires minimal training because it uses the conversational muscles we’ve been working for a lifetime. It unlocks the ability to have more forgiving, less robotic conversations with devices. There might be ten different ways to set a timer.
Natural language interactions can also free us from “screen magnetism”—that tendency to stay on a device even when our original task is complete. Voice also enables fast and forgiving searches of huge catalogues without time spent typing or browsing. You can pick a needle straight out of a haystack.
Natural language interactions are excellent for older customers. These interfaces don’t intimidate people without dexterity, vision, or digital experience. Voice input often leads to more inclusive experiences. Many customers with visual or physical disabilities can’t use traditional graphical interfaces. Voice experiences throw open the door of opportunity for some people. However, voice experience can exclude people with speech difficulties.
Making the case for voice interfaces
There’s a misconception that you need to work at Amazon, Google, or Apple to work on a voice interface, or at least that you need to have a big product team. But Cheryl was able to make her first Alexa “skill” in a week. If you’re a web developer, you’re good to go. Your voice “interaction model” is just JSON.
How do you get your product team on board? Find the customers (and situations) you might have excluded with traditional input. Tell the stories of people whose hands are full, or who are vision impaired. You can also point to the adoption rate numbers for smart speakers.
You’ll need to show your scenario in context. Otherwise people will ask, “why can’t we just build an app for this?” Conduct research to demonstrate the appeal of a voice interface. Storyboarding is very useful for visualising the context of use and highlighting existing pain points.
Getting started with voice interfaces
You’ve got to understand how the technology works in order to adapt to how it fails. Here are a few basic concepts.
Utterance. A word, phrase, or sentence spoken by a customer. This is the true form of what the customer provides.
Intent. This is the meaning behind a customer’s request. This is an important distinction because one intent could have thousands of different utterances.
Prompt. The text of a system response that will be provided to a customer. The audio version of a prompt, if needed, is generated separately using text to speech.
Grammar. A finite set of expected utterances. It’s a list. Usually, each entry in a grammar is paired with an intent. Many interfaces start out as being simple grammars before moving on to a machine-learning model later once the concept has been proven.
Here’s the general idea with “artificial intelligence”…
There’s a human with a core intent to do something in the real world, like knowing when the cookies in the oven are done. This is translated into an intent like, “set a 15 minute timer.” That’s the utterance that’s translated into a string. But it hasn’t yet been parsed as language. That string is passed into a natural language understanding system. What comes is a data structure that represents the customers goal e.g. intent=timer; duration=15 minutes. That’s sent to the business logic where a timer is actually step. For a good voice interface, you also want to send back a response e.g. “setting timer for 15 minutes starting now.”
That seems simple enough, right? What’s so hard about designing for voice?
Natural language interfaces are a form of artifical intelligence so it’s not deterministic. There’s a lot of ruling out false positives. Unlike graphical interfaces, voice interfaces are driven by probability.
How do you turn a sound wave into an understandable instruction? It’s a lot like teaching a child. You feed a lot of data into a statistical model. That’s how machine learning works. It’s a probability game. That’s where it gets interesting for design—given a bunch of possible options, we need to use context to zero in on the most correct choice. This is where confidence ratings come in: the system will return the probability that a response is correct. Effectively, the system is telling you how sure or not it is about possible results. If the customer makes a request in an unusual or unexpected way, our system is likely to guess incorrectly. That’s because the system is being given something new.
Designing a conversation is relatively straightforward. But 80% of your voice design time will be spent designing for what happens when things go wrong. In voice recognition, edge cases are front and centre.
Here’s another challenge. Interaction with most voice interfaces is part conversation, part performance. Most interactions are not private.
Humans don’t distinguish digital speech fom human speech. That means these devices are intrinsically social. Our brains our wired to try to extract social information, even form digital speech. See, for example, why it’s such a big question as to what gender a voice interface has.
Delivering a voice interface
Storyboards help depict the context of use. Sample dialogues are your new wireframes. These are little scripts that not only cover the happy path, but also your edge case. Then you reverse engineer from there.
Flow diagrams communicate customer states, but don’t use the actual text in them.
Prompt lists are your final deliverable.
Functional prototypes are really important for voice interfaces. You’ll learn the real way that customers will ask for things.
If you build a working prototype, you’ll be building two things: a natural language interaction model (often a JSON file) and custom business logic (in a programming language).
Eventually voice design will become a core competency, much like mobile, which was once separate.
Ask yourself what tasks your customers complete on your site that feel clunkly. Remember that voice desing is almost never about new scenarious. Start your journey into voice interfaces by tackling old problems in new, more inclusive ways.
May the voice be with you!
Tuesday, June 11th, 2019
A (possibly) Turing complete language:
As the validity and the semantics of a program depend on the structure of the London underground system, which is administered by London Underground Ltd, a subsidiary of Transport for London, who are likely unaware of the existence of this programming language, its future compatibility is uncertain. Programs may become invalid or subtly wrong as the transport company expands or retires some of the network, reroutes lines or renames stations. Features may be removed with no prior consultation with the programming community. For all we know, Mornington Crescent itself may at some point be closed, at which point this programming language will cease to exist.
Friday, June 7th, 2019
Language is not an invention. As best we can tell it is an evolved feature of the human brain. There have been almost countless languages humans have spoken. But they all follow certain rules that grow out of the wiring of the human brain and human cognition. Critically, it is something that is hardwired into us. Writing is an altogether different and artificial thing.