Category: Blog

The same holds true for those of us who are currently employed in design and development. Having worked on the web for about three years at this point, I’ve seen the typical wax and wane of concepts, strategies, and systems. Every day we as developers and designers re-enter the familiar pattern, a brand-new engineering or thought emerges to shake things up and completely alter the world.

How we got below

I built my first website in the mid-’90s. Design and development on the web back then was a free-for-all, with few established norms. For any layout aside from a single column, we used table elements, often with empty cells containing a single pixel spacer GIF to add empty space. We styled text with numerous font tags, nesting the tags every time we wanted to vary the font style. And we had only three or four typefaces to choose from: Arial, Courier, or Times New Roman. When Verdana and Georgia came out in 1996, we rejoiced because our options had nearly doubled. The only safe colors to choose from were the 216 “web safe” colors known to work across platforms. The few interactive elements (like contact forms, guest books, and counters) were mostly powered by CGI scripts (predominantly written in Perl at the time). Achieving any kind of unique look involved a pile of hacks all the way down. Interaction was often limited to specific pages in a site.

the development of online standards

At the turn of the century, a new cycle started. Crufty code littered with table layouts and font tags waned, and a push for web standards waxed. Newer technologies like CSS got more widespread adoption by browsers makers, developers, and designers. This shift toward standards didn’t happen accidentally or overnight. It took active engagement between the W3C and browser vendors and heavy evangelism from folks like the Web Standards Project to build standards. A List Apart and books like Designing with Web Standards by Jeffrey Zeldman played key roles in teaching developers and designers why standards are important, how to implement them, and how to sell them to their organizations. And approaches like progressive enhancement introduced the idea that content should be available for all browsers—with additional enhancements available for more advanced browsers. Meanwhile, sites like the CSS Zen Garden showcased just how powerful and versatile CSS can be when combined with a solid semantic HTML structure.

Server-side language like PHP, Java, and.NET took Perl as the primary back-end computers, and the cgi-bin was tossed in the garbage bin. With these improved server-side software, the first period of internet programs started with content-management methods (especially those used in blogs like Blogger, Grey Matter, Movable Type, and WordPress ) In the mid-2000s, AJAX opened gates for sequential interaction between the front end and back close. Pages had now revise their content without having to reload it. A grain of Script frameworks like Prototype, YUI, and ruby arose to aid developers develop more credible client-side conversation across browsers that had wildly varying levels of standards support. Techniques like image replacement enable the use of fonts by skilled designers and developers. And technologies like Flash made it possible to add animations, games, and even more interactivity.

These new methods, standards, and technologies greatly boosted the sector’s growth. Web design flourished as designers and developers explored more diverse styles and layouts. However, we still relied heavily on numerous hacks. Early CSS was a huge improvement over table-based layouts when it came to basic layout and text styling, but its limitations at the time meant that designers and developers still relied heavily on images for complex shapes ( such as rounded or angled corners ) and tiled backgrounds for the appearance of full-length columns (among other hacks ). All kinds of nested floats or absolute positioning ( or both ) were necessary for complicated layouts. Flash and image replacement for custom fonts was a great start toward varying the typefaces from the big five, but both hacks introduced accessibility and performance problems. Additionally, JavaScript libraries made it simple for anyone to add a dash of interaction to pages, even at the expense of double or even quadrupling the download size of basic websites.

The web as software platform

The front-end and back-end symbiosis continued to improve, leading to the development of the modern web application. Between expanded server-side programming languages ( which kept growing to include Ruby, Python, Go, and others ) and newer front-end tools like React, Vue, and Angular, we could build fully capable software on the web. Along with these tools, there were additional options, such as shared package libraries, build automation, and collaborative version control. What was once primarily an environment for linked documents became a realm of infinite possibilities.

Mobile devices increased in their capabilities as well, and they gave us access to the internet while we were traveling. Mobile apps and responsive design opened up opportunities for new interactions anywhere and any time.

The development of social media and other centralized tools for people to connect and use resulted from this combination of potent mobile devices and potent development tools. As it became easier and more common to connect with others directly on Twitter, Facebook, and even Slack, the desire for hosted personal sites waned. Social media provided connections on a global scale, with both the positive and negative effects.

Want a much more extensive history of how we got here, with some other takes on ways that we can improve? ” Of Time and the Web” was written by Jeremy Keith. Or check out the” Web Design History Timeline” at the Web Design Museum. Additionally, Neal Agarwal takes a fascinating tour of” Internet Artifacts.”

Where we are now

It seems like we’ve reached yet another significant turning point in recent years. As social-media platforms fracture and wane, there’s been a growing interest in owning our own content again. There are many different ways to create a website, from the tried-and-true classic of hosting plain HTML files to static site generators to content management systems of all varieties. The fracturing of social media also comes with a cost: we lose crucial infrastructure for discovery and connection. The IndieWeb‘s Webmentions, RSS, ActivityPub, and other tools can assist with this, but they’re still largely underdeveloped and difficult to use for the less geeky. We can build amazing personal websites and add to them regularly, but without discovery and connection, it can sometimes feel like we may as well be shouting into the void.

Browser support for CSS, JavaScript, and other web components has increased, particularly with initiatives like Interop. New technologies gain support across the board in a fraction of the time that they used to. When I first learn about a new feature, I frequently discover that its coverage is already over 80 % when I check the browser support. Nowadays, the barrier to using newer techniques often isn’t browser support but simply the limits of how quickly designers and developers can learn what’s available and how to adopt it.

We can now prototype almost any idea with just a few commands and a few lines of code. All the tools that we now have available make it easier than ever to start something new. However, the upfront cost these frameworks may save in initial delivery eventually comes down as the maintenance and upgrading they become a part of our technical debt.

If we rely on third-party frameworks, adopting new standards can sometimes take longer since we may have to wait for those frameworks to adopt those standards. These frameworks, which previously made it easier to adopt new techniques sooner, have since evolved into obstacles. These same frameworks often come with performance costs too, forcing users to wait for scripts to load before they can read or interact with pages. And frequently, when scripts fail ( whether due to poor code, network problems, or other environmental factors ), users are left with blank or broken pages.

Where do we go from here?

Hacks of today help to shape standards for tomorrow. And there’s nothing inherently wrong with embracing hacks —for now—to move the present forward. Problems only arise when we refuse to acknowledge that they are hacks or when we choose not to replace them. So what can we do to create the future we want for the web?

Build for the long haul. Optimize for performance, for accessibility, and for the user. weigh the costs associated with those user-friendly tools. They may make your job a little easier today, but how do they affect everything else? What is the price to the users? To future developers? To adoption of standards? Sometimes the convenience may be worth it. Sometimes it’s just a hack that you’ve gotten used to. And sometimes it’s holding you back from even better options.

Start with standards. Standards continue to evolve over time, but browsers have done a remarkably good job of continuing to support older standards. The same holds true for third-party frameworks, though. Sites built with even the hackiest of HTML from the’ 90s still work just fine today. The same can’t be said about websites created with frameworks even after a few years.

Design with care. Consider the effects of each choice, whether your craft is code, pixels, or processes. The convenience of many a modern tool comes at the cost of not always understanding the underlying decisions that have led to its design and not always considering the impact that those decisions can have. Use the time saved by modern tools to think more carefully and make decisions with care rather than rushing to “move fast and break things”

Always be learning. If you constantly learn, you also develop. Sometimes it may be hard to pinpoint what’s worth learning and what’s just today’s hack. Even if you were to concentrate solely on learning standards, you might end up focusing on something that won’t matter next year. ( Remember XHTML? ) However, ongoing learning opens up new neural connections, and the techniques you learn in one day may be useful for guiding future experiments.

Play, experiment, and be weird! The ultimate experiment is this web that we’ve created. It’s the single largest human endeavor in history, and yet each of us can create our own pocket within it. Be brave and make new friends. Build a playground for ideas. In your own bizarre science lab, perform bizarre experiments. Start your own small business. There has never been a place where we have more room to be creative, take risks, and discover our potential.

Share and amplify. Share what you think has worked for you as you go through testing, playing, and learning. Write on your own website, post on whichever social media site you prefer, or shout it from a TikTok. Write something for A List Apart! But take the time to amplify others too: find new voices, learn from them, and share what they’ve taught you.

Go ahead and create a masterpiece.

As designers and developers for the web ( and beyond ), we’re responsible for building the future every day, whether that may take the shape of personal websites, social media tools used by billions, or anything in between. Let’s incorporate our values into the products we produce, and let’s improve the world for everyone. Create that thing that only you are uniquely qualified to make. Then distribute it, improve it, re-use it, or create something new with it. Learn. Make. Share. grow. Rinse and repeat. Everything will change whenever you believe you have mastered the web.

I’d like you to consider this a “yes … and” piece to complement Joe’s post. I’m just trying to contradict what he’s saying, but I’m just trying to give some context to initiatives and opportunities where AI can make a difference for people with disability. To be clear, I’m not saying that there aren’t real challenges or pressing problems with AI that need to be addressed; there are, and we’ve needed to address them, like, yesterday; instead, I want to take a moment to talk about what’s possible so that we can find it one day.

Other text

Joe’s article spends a lot of time addressing computer-vision types ‘ ability to create other words. He raises a lot of valid points about the state of the world right now. And while computer-vision concepts continue to improve in the quality and complexity of information in their information, their benefits aren’t wonderful. He argues to be accurate that the state of image research is currently very poor, especially for some image types, in large part due to the absence of contextual contexts in which to look at images ( as a result of having separate “foundation” models for words analysis and image analysis ). Today’s models aren’t trained to distinguish between images that are contextually relevant ( should probably have descriptions ) and those that are purely decorative ( couldn’t possibly need a description ) either. Nonetheless, I still think there’s possible in this area.

As Joe points out, human-in-the-loop editing of ctrl text should definitely be a factor. And if AI can intervene and provide a starting point for alt text, even if the quick reads,” What is this BS?” That’s certainly correct at all … Let me try to offer a starting point— I think that’s a win.

If we can specifically station a design to examine image usage in context, it might help us more quickly determine which images are likely to be elegant and which ones are likely to need a description. That will help clarify which situations require image descriptions, and it will increase authors ‘ effectiveness in making their sites more visible.

While complex images—like graphs and charts—are challenging to describe in any sort of succinct way ( even for humans ), the image example shared in the GPT4 announcement points to an interesting opportunity as well. Let’s say you came across a map that was simply the description of the chart’s name and the type of representation it was: Pie map comparing smartphone usage to have phone usage in US households earning under$ 30, 000 annually. ( That would be a pretty bad alt text for a chart because it frequently leaves many unanswered questions about the data, but let’s just assume that was the description in place. ) If your website knew that that picture was a pie graph ( because an ship model concluded this ), imagine a world where people could ask questions like these about the creative:

• Would more people use smartphones or other types of phones?
• How many more are there?
• Is there a group of people that don’t fall into either of these containers?
• That number, how some?

For a moment, the chance to learn more about graphics and data in this way could be revolutionary for people who are blind and low vision as well as for those with various types of color blindness, cognitive impairments, and other issues. Putting aside the challenges of large language model ( LLM) hallucinations, where a model only makes up plausible-sounding “facts,” It could also be useful in educational contexts to help people who can see these charts, as is, to understand the data in the charts.

What if you could ask your browser to make a complicated chart simpler? What if you asked it to separate a single line from a line graph? What if you could ask your browser to transpose the colors of the different lines to work better for form of color blindness you have? What if you demanded that it switch colors in favor of patterns? That seems like a possibility given the chat-based interfaces and our current ability to manipulate images in the AI tools of today.

Now imagine a purpose-built model that could extract the information from that chart and convert it to another format. For instance, it might be able to convert that pie chart (or, better yet, a number of pie charts ) into more usable ( and useful ) formats, like spreadsheets. That would be incredible!

Matching algorithms

When Safiya Umoja Noble chose to call her book Algorithms of Oppression, she hit the nail on the head. Although her book focused on the ways that search engines can foster racism, I believe it to be equally accurate to say that all computer models have the potential to amplify conflict, bias, and intolerance. Whether it’s Twitter always showing you the latest tweet from a bored billionaire, YouTube sending us into a Q-hole, or Instagram warping our ideas of what natural bodies look like, we know that poorly authored and maintained algorithms are incredibly harmful. A large portion of this is attributable to the lack of diversity in those who create and shape them. There is still a lot of potential for algorithm development when these platforms are built with inclusive features in mind.

Take Mentra, for example. They serve as a network of employment for people who are neurodivers. Based on more than 75 data points, they match job seekers with potential employers using an algorithm. On the job-seeker side of things, it considers each candidate’s strengths, their necessary and preferred workplace accommodations, environmental sensitivities, and so on. On the employer side, it takes into account each work environment, communication strategies for each job, and other factors. Mentra made the decision to change the script when it came to typical employment websites because it was run by neurodivergent people. They use their algorithm to propose available candidates to companies, who can then connect with job seekers that they are interested in, reducing the emotional and physical labor on the job-seeker side of things.

More people with disabilities can be used to create algorithms, which can lessen the likelihood that they will harm their communities. Diverse teams are crucial because of this.

Imagine that a social media company’s recommendation engine was tuned to analyze who you’re following and if it was tuned to prioritize follow recommendations for people who talked about similar things but who were different in some key ways from your existing sphere of influence. For instance, if you followed a group of nondisabled white male academics who spoke about AI, it might be advisable to follow those who are disabled, aren’t white, or aren’t men who also speak about AI. If you followed its advice, you might be able to understand what is happening in the AI field more fully and nuancedly. These same systems should also use their understanding of biases about particular communities—including, for instance, the disability community—to make sure that they aren’t recommending any of their users follow accounts that perpetuate biases against (or, worse, spewing hate toward ) those groups.

Other ways that AI can assist people with disabilities

If I weren’t attempting to combine this with other tasks, I’m sure I could go on and on, giving various examples of how AI could be used to assist people with disabilities, but I’m going to make this last section into a bit of a lightning round. In no particular order:

Voice preservation You might have heard about the voice-preserve offerings from Microsoft, Acapela, or others, or have seen the VALL-E paper or Apple’s Global Accessibility Awareness Day announcement. It’s possible to train an AI model to replicate your voice, which can be a tremendous boon for people who have ALS ( Lou Gehrig’s disease ) or motor-neuron disease or other medical conditions that can lead to an inability to talk. This technology can also be used to create audio deepfakes, so we need to approach it responsibly, but the technology has truly transformative potential.
• voice recognition Researchers like those in the Speech Accessibility Project are paying people with disabilities for their help in collecting recordings of people with atypical speech. As I type, they are actively seeking out people who have Parkinson’s and related conditions, and they intend to expand this list as the project develops. More people with disabilities will be able to use voice assistants, dictation software, and voice-response services, as well as to use only their voices to control computers and other devices, according to this research.
• Text transformation. LLMs of the current generation are quite capable of changing text without creating hallucinations. This is incredibly empowering for those who have cognitive disabilities and who may benefit from text summaries or simplified versions, or even text that has been prepared for bionic reading.

The importance of diverse teams and data

We must acknowledge the importance of our differences. The intersections of the identities we live in have an impact on our lived experiences. These lived experiences—with all their complexities ( and joys and pain ) —are valuable inputs to the software, services, and societies that we shape. The data we use to train new models must be based on our differences, and those who provide it to us need to be compensated for doing so. More robust models are produced by inclusive data sets, which promote more justifiable outcomes.

Want a model that doesn’t demean or patronize or objectify people with disabilities? Make sure that the training data includes information about disabilities written by people with a range of disabilities.

Want a model that uses ableist language without using it? You may be able to use existing data sets to build a filter that can intercept and remediate ableist language before it reaches readers. Despite this, AI models won’t soon replace human copy editors when it comes to sensitivity reading.

Want a copilot for coding that provides recomprehensible recommendations after the jump? Train it on code that you know to be accessible.

I have no doubts about how dangerous AI will be for people today, tomorrow, and for the rest of the world. However, I think we should also acknowledge this and make thoughtful, thoughtful, and intentional changes to our approaches to AI that will also reduce harm over time with an emphasis on accessibility ( and, in general, inclusion ). Today, tomorrow, and well into the future.

Thanks to Kartik Sawhney for assisting me with writing this article, Ashley Bischoff for her invaluable editorial assistance, and of course Joe Dolson for the prompt.

I am imaginative. Alchemy is what I do. It is a puzzle. I prefer to let it be done through me rather than through me.

I am imaginative. Certainly all creative people approve of this brand. Not all people see themselves in this manner. Some innovative people practice technology in their work. That is their perception, and I regard it. Perhaps I also have a small envy for them. However, my method is different; my being is unique.

It distracts you to apologize and qualify in progress. That’s what my mind does to destroy me. I’ll leave it alone for today. I may regret and be qualified at any time. after I’ve said what I should have. Which is too difficult.

Except when it is simple and flows like a beverage valley.

Sometimes it does. Often I have to create something right away. When I say something at that time, I’ve learned not to say it because people often don’t work hard enough to acknowledge that the idea is the best idea even when you know it’s the best idea.

Sometimes I just keep working until the plan strikes me. Maybe it arrives right away and I don’t remind people for three weeks. Maybe I get so excited about something that just happened that I blurt it out and didn’t stop myself. like a child who discovered a reward in a box of Cracker Jacks. I occasionally manage to get away with this. Yes, that is the best idea, but maybe others disagree. The majority of the time, they don’t, and I regret that joy has faded.

Passion should only be saved for the meet, when it matters. not the informal gathering that two different gatherings precede that appointment. Nobody understands why these discussions occur. We keep saying we’re going to get rid of them, but we just keep trying to find different ways to get them. They occasionally also excel. But occasionally they are a hindrance to the real job. Depending on what you do and where you do it, the ratio between when conferences are valuable and when they are a sad distraction vary. And who you are and how you go about doing it. Suddenly, I digress. I am imaginative. That is the design.

Sometimes, despite many hours of diligent effort, someone is hardly useful. Often I have to accept that and move on to the next task.

Don’t inquire about the procedure. I am imaginative.

I am imaginative. I have no control over my goals. And I have no control over my best tips.

I may hammer away and often find it useful to surround myself with images or information. I can go for a move, which occasionally works. There is a Eureka that has nothing to do with sizzling fuel and flowing pots. I may be making dinner. I frequently have a sense of direction when I awaken. The idea that may have saved me disappears almost as frequently as I become aware and a part of the world once more as a senseless wind of oblivion. For imagination, in my opinion, comes from that other planet. The one that we enter in ambitions and, possibly, before and after dying. I’m not a writer, so that’s up to writers to think about. I am imaginative. Theologians are encouraged to build massive armies in their artistic globe, which they insist is genuine. But that is yet another diversion. And one that is sad. Possibly on a much bigger issue than whether or not I am creative. But that’s also a step backwards from what I’m trying to say.

Often, the outcome is evasion. also suffering. Do you know the actor who is tortured by the cliché? Even when the artist ( this place that noun in quotes ) attempts to write a sweet drink jingle, a call in a worn-out comedy, or a budget request, it’s true.

Some individuals who detest being called artistic perhaps been closeted artists, but that’s between them and their gods. No offence here. Yours is also real. My needs are own, though.

Artists are recognized as designers.

Negatives are aware of cons, just like queers are aware of queers, just like real rappers are aware of true rappers. People have a lot of regard for artists. We respect, follow, and nearly deify the excellent ones. Of course, deifying any person is a dreadful error. We’ve been given a warning. We are more knowledgeable. We are aware of this. Because they are clay, like us, they squabble, they are depressed, they regret making the most important decisions, they are weak and hungry, they can be cruel, and they can be as ridiculous as we can. But. But. However, they produce this incredible point. They give birth to something that may not occur without them and did not exist before them. They are the inspirations ‘ mother. And I suppose I should add that they are the mother of technology because it’s just lying it. Bad mee bum! Okay, that’s all done. Continue.

Because we compare our personal small accomplishments to those of the great ones, designers denigrate them. Wonderful video! I‘m not Miyazaki, so I‘m not. Greatness is then that. That is glory directly from God’s heart. This meagre much creation that I made? It essentially fell off the turnip truck’s again. And the carrots weren’t actually new.

Artists is aware that they are at best Salieri. Also Mozart’s original artists hold that opinion.

I am imaginative. In my hallucinations, my former innovative managers are the ones who judge me because I haven’t worked in advertising in 30 times. They are correct to do that. When it really matters, my brain goes flat because I am too lazy and complacent. There is no treatment for artistic mania.

I am imaginative. Every project I create has a goal that makes Indiana Jones appear older and snoring in a balcony head. The more I pursue creativity, the faster I can complete my work, and the longer I obsess over my ideas and whizz around in circles before I can complete that task.

I can move ten times more quickly than those who aren’t creative, those who have just been creative for a short while, and those who have just been creative for a short time in their careers. Only that I spend twice as long as they do putting the job off before I work ten times as quickly as they do. When I put my mind to it, I am so confident in my ability to do a wonderful career. I have an addiction to the delay jump. The climb also terrifies me.

I am hardly a painter.

I am imaginative. Never a performer. Though as a boy, I had a dream that I would one day become that. Some of us criticize our abilities and fear our own accomplishments because we are not Michelangelos and Warhols. That is narcissism, but at least we aren’t in elections.

I am imaginative. Despite my belief in reason and science, my decisions are based on my own senses. and accept both the successes and the calamities that come with them.

I am imaginative. Every term I’ve said these may irritate another artists who have different viewpoints. Ask two artists a topic and find three opinions. No matter how we does think about it, our debate, our passion for it, and our responsibility to our own truth, at least in my opinion, are the best indications that we are creative.

I am imaginative. I lament my lack of taste in almost all of the areas of human understanding, which I know very little about. And I put my preference before all other things in the areas that are most dear to my soul, or perhaps more precisely, to my passions. Without my passions, I may probably have to spend time staring living in the eye, which almost none of us can do for very long. No actually. Actually, no. Because so much in existence is intolerable if you really look at it.

I am imaginative. I think that when I leave, a small portion of me will stay in someone else’s head, just like a family does.

Working frees me from worrying about my job.

I am imaginative. I fear that my little product will disappear.

I am imaginative. I’m too busy making the next thing to devote too much time to it, especially since practically everything I create did achieve the level of success I conceive of.

I am imaginative. I think approach is the most amazing mystery. I think so strongly that I am also foolish enough to post an essay I wrote into a small machine without having to go through or edit it. I swear I didn’t do this frequently. But I did it right away because I was even more frightened of forgetting what I was saying because I was afraid of you seeing through my sad movements toward the wonderful.

There. I believe I’ve said it.

Today’s online is not always a welcoming location. Websites greet you with a popover that requires assent to their muffin coverage, and leave you with Taboola advertising promising” One Crazy Trick”! to treat your problems. Social media sites are tuned for wedding, and some things are more interesting than a duel. I have witnessed light war among visitors today because it seems that folks want to fight.

These conflicts are often at conflict with a site’s targets. We don’t like those users to get into fights with one another if we are offering customer support and advice. If we offer information about the latest study, we want visitors to feel at ease, if we promote approaching marches, we want our core followers to feel comfortable and we want wondering newcomers to experience welcome.

I looked at the origins of computer science in Vienna ( 1928-1934 ) for a case study of the significance of amiability in a research community and the disastrous effects of its demise in a study for a conference on the History of the Web. That story has interesting implications for web environments that promote amiable interaction among disparate, difficult ( and sometimes disagreeable ) people.

The Vienna Circle

Though people had been thinking about calculating engines and thinking machines from antiquity, Computing really got going in Depression-era Vienna. In the absence of divine authority, the people who developed the theory had no desire to construct machines. They were trying to understand what the limits of reason were. If we could not rely on God or Aristotle to tell us how to think, could we instead build arguments that were self-contained and demonstrably correct? Can we be certain that math is accurate? Are there things that are true but that cannot be expressed in language?

The group known as the Vienna Circle held weekly meetings on Thursdays at 6 ). The main ideas were developed. They got together in the office of Professor Moritz Schlick at the University of Vienna to discuss problems in philosophy, math, and language. This Vienna department’s focus on the intersection of physics and philosophy had long been on them, and their work had elevated them to a position among the global leaders. Schlick’s colleague Hans Hahn was a central participant, and by 1928 Hahn brought along his graduate students Karl Menger and Kurt Gödel. Other notable speakers included philosopher Rudolf Carnap, psychologist Karl Popper, economist Ludwig von Mises ( brought by his brother Frederick, a physicist ), graphic designer Otto Neurath ( inventor of infographics ), and architect Josef Frank ( brought by his physicist brother, Phillip ). Out-of-town visitors often joined, including the young Johnny von Neumann, Alfred Tarski, and the irascible Ludwig Wittgenstein.

Participants adjourned to a nearby café for additional discussion with an even larger group of participants when Schlick’s office became too dim. This convivial circle was far from unique. The Austrian School of free-market economics was established by an intersecting circle: Neurath, von Mises, and Oskar Morgenstern. There were theatrical circles ( Peter Lorre, Hedy Lamarr, Max Reinhardt ), and literary circles. The events took place in the café.

The interdisciplinarity of the group posed real challenges of temperament and understanding. Personality issues were frequently present. Gödel was convinced people were trying to poison him. Josef Frank, an architect, relied on contracts for public housing, which Mises argued was wasteful. Wittgenstein’s temper had lost him his job as a secondary school teacher, and for some of these years he maintained a detailed list of whom he was willing to meet. Neurath would interrupt a speaker with a shouted” Metaphysics” and was eager to find muddled thought! The continuing amity of these meetings was facilitated by the personality of their leader, Moritz Schlick, who would be remembered as notably adept in keeping disagreements from becoming quarrels.

In the Café

The Viennese café of this era was long remembered as a particularly good place to argue with your friends, to read, and to write. With the collapse of the Empire, the cafés found themselves with too little space and fewer customers than they could have anticipated. There was no need to turn tables: a café could only survive by coaxing customers to linger. They might order another cup of coffee, or perhaps a friend might stop by. One could play chess, or billiards, or read newspapers from abroad. Coffee was frequently served with a glass of fresh spring water, which was a novelty in a time when most water was still considered unsafe to drink. That water glass would be refilled indefinitely.

Jura Soyfer, the poet behind” The End of the World,” a musical comedy about Professor Peep discovering a comet that is heading for Earth, was performed in one café.

Prof. Peep: The comet is going to destroy everybody!

Hitler: I have no business destroying anyone.

Of course, coffee can be prepared in many ways, and the Viennese café developed a broad vocabulary to represent precisely how one preferred to drink it: melange, Einspänner, Brauner, Schwarzer, Kapuziner. The café was transformed into a warm and personal third space, a neutral ground in which anyone who could afford a cup of coffee would be welcome. This extensive customization, with correspondingly esoteric conventions of service, resulted in its extensive customization. Viennese of this era were fastidious in their use of personal titles, of which an abundance were in common use. Café waiters also gave regular customers titles, but they avoided using them to refer to their customers as a notch or two above what they deserved. A graduate student would be Doktor, an unpaid postdoc Professor. Because so many of the Circle’s members ( and so many other Viennese ) were from elsewhere: Carnap from Wuppertal, Gödel from Brno, von Neumann from Budapest, and so many others, this assurance mattered even more. No one was going to make fun of your clothes, mannerisms, or accent. The pram in the hall wouldn’t bother your friends. Everyone shared a Germanic Austrian literary and philosophical culture, not least those whose ancestors had been Eastern European Jews who knew that culture well, having read all about it in books.

The café circle’s friendliness was made stronger by its openness. Because the circle sometimes extended to architects and actors, people could feel less constrained to admit shortfalls in their understanding. It was soon discovered that marble tabletops served as an improvised and accessible blackboard, making them a useful surface for pencil sketches.

Comedies like” The End Of The World” and fictional newspaper sketches or feuilletons of writers like Joseph Roth and Stefan Zweig served as a second defense against disagreeable or churlish behavior. It was certainly helped Professor Schlick stay on top of things when she knew that a parody of one’s remarks might soon appear in Neue Freie Presse.

The End Of Red Vienna

Vienna’s city council had been Socialist, focused on user-centered design, and supported ambitious programs of public outreach and adult education, even though Austria’s government had veered to the right after the War. In 1934 the Socialists lost a local election, and this era soon came to its end as the new administration focused on the imagined threat of the International Jewish Conspiracy. Von Neumann to Princeton, Neurath to Holland and Oxford, Popper to New Zealand, and Carnap to Chicago were the Circle’s most frequent members who left in less than a month. Prof. Schlick was murdered on the steps of the University by a student outraged by his former association with Jews. The End of the World author, Julie Soyfer, passed away in Buchenwald.

In 1939, von Neumann finally convinced Gödel to accept a job in Princeton. Gödel was required to emigrate after paying large fines. The officer in charge of these fees would look back on this as the best posting of his career, his name was Eichmann.

Design for Amiability

An impressive literature recounts those discussions and the environment that facilitated the development of computing. How can us create a user-friendly design? This is not just a matter of choosing rounded typefaces and a cheerful pastel palette. I think we might find eight distinct design constraints that go in a lot of useful ways.

Seriousness: The Vienna Circle was wrestling with a notoriously difficult book—Wittgenstein’s Tractus Logico-Philosophicus—and a catalog of outstanding open questions in mathematics. Instead of just making money off of debate, they were concerned with long-term issues. Constant reminders that the questions you are considering matter—not only that they are consequential or that those opposing you are scoundrels —help promote amity.

Empiricism: The Vienna Circle’s distinctive approach required that knowledge be grounded either in direct observation or in rigorous reasoning. Disagreement, when it arose, could be settled by observation or by proof. The situation couldn’t be resolved if neither appeared ready to help. On these terms, one can seldom if ever demolish an opposing argument, and trolling is pointless.

Abstraction: When losing a debate results in lost face or jobs, the disputes get worse. The Vienna Circle’s focus on theory—the limits of mathematics, the capability of language—promoted amity. Abstraction could have been merely academic without seriousness, but the limitations of reason and consistency of mathematics were obviously serious.

Formality: The punctilious demeanor of waiters and the elaborated rituals of coffee service helped to establish orderly attitudes amongst the argumentative participants. This contrasts favorably with the contemptuous sneer that currently dominates social media.

Schlamperei: Members of the Vienna Circle maintained a global correspondence, and they knew their work was at the frontier of research. However, this was Vienna, at the edge of Europe: it was dated, frumpy, and dingy. Many participants came from even more obscure backwaters. The majority of or all of them had the suspicion that they were actually schleppers, and a dash of the absurdity helped to control their tempers. The director of” The End Of The World” had to pass the hat for money to purchase a moon for the set, and thought it was funny enough to write up for publication.

Openness: Anyone could join in the discussion because all kinds of people were present. Each week would bring different participants. Fluidic borders reduce conflict and open up new areas for discussion and discussion. Low entrance friction was characteristic of the café: anyone could come, and if you came twice you were virtually a regular. Vienna’s cafés had no shortage of humorists, and permeable boundaries and café culture made it easier for moderating influences to draw in raconteurs and storytellers to defuse awkward moments. Openness counteracts the suspicion that promoters of amiability are exerting censorship.

Parody: The University of Chicago and the Café were unmistakably public areas. There were writers about, some of them renowned humorists. The possibility that one’s bad behavior or taste might be derided in print kept discussion within bounds. The sanction of public humiliation, however, was itself made mild by the veneer of fiction, even if you got a little carried away and a character based on you made a splash in some newspaper fiction, it wasn’t the end of the world.

Engagement: Although the subject matter was significant to the participants, it was esoteric: neither their mothers nor their siblings were particularly interested. A small stumble or a minor humiliation could be shrugged off in ways that major media confrontations cannot.

I think it is noteworthy that this setting was created to promote amiability through a variety of voices. The café waiter flattered each newcomer and served everyone, and also kept out local pickpockets and drunks who would be mere disruptions. Schickel and other regulars kept the conversation moving and moving. The fiction writers and raconteurs—perhaps the most peripheral of the participants—kept people in a good mood and reminded them that bad behavior could make anyone ridiculous. Each of these voices, naturally speaking, were human; you could understand that. Algorithmic or AI moderators, however clever, are seldom perceived as reasonable. No Moderator or centralized authority could be used to direct everyone’s resentments. Even after the disaster of 1934, what people remembered were those cheerful arguments.

Voices are present on the web. But if our manufacturing processes.

Designing methods as living cultures

Designing languages are living languages, not portion libraries. The elements are called words, the patterns are called phrases, and the sentences are called layouts. The experiences we create with people become the reports that our products are able to tell.

But let’s remember one thing that we’ve forgotten: the more tones a language you help without losing its meaning the more fluently it is spoken. English in Sydney and English in Scotland are undeniably different, but both are identical. The speech adapts to the situation while maintaining its fundamental message. As a Brazilian Portuguese speech who learned English with an American highlight and resides in Sydney, this couldn’t be more visible to me.

Our style processes must operate in the same manner. Systems that flex under pressure from the environment are weak due to rigorous adhesion to visual rules. Fluidic methods stretch without buckling.

Consistent behavior turns into a captivity

Constant components may speed up development and bring together experiences, which was the promise of design systems. But as methods evolved and products developed more sophisticated, that promises has grown to the point of being a prison. Team submit “exception” demands innumerate. Alternatively of system parts, products start with solutions. Designers devote more time defending regularity than resolving customer issues.

Our design techniques must acquire the ability to respond dialects.

A pattern pronunciation is a comprehensive adaptation of a design system that maintains its core values while creating novel patterns for particular situations. Dials maintain the state’s necessary language while expanding its vocabulary to provide various customers, environments, or constraints, unlike one-off customizations or product themes.

When Perfect Consistency Is A Problem

I at Booking.com took this session without warning. Everything we A/B tested was color, version, button styles, also logo colors. This surprised me as a specialist who has knowledge creating brand style guides and a background in graphic design. Booking expanded into a huge without ever taking into account physical consistency, while everyone fell in love with Airbnb’s flawless design system.

The conflict taught me things that persistence is not ROI, but rather solved problems are.

At Shopify. Our most cherished piece of technology was Polyris ( ), a mature design language that worked well for laptop manufacturers. We were expected to follow Polaris as-is as a product group. Then my realization group said,” Oh, Ship!” momentous as we attempted to create an app for storehouse pickers using our interface, which we used on shared, battered Android scanners in dark aisles, heavy gloves, and multiple items that were being scanned at once, many of which had only limited English comprehension.

Polaris common: 0 % work completion.

Every element that worked wonders for retailers entirely failed to satisfy pickers. Glare was created by white background. Click targets for 44px were hidden behind covered fingers. It took too long to interpret sentence-case names. Multi-step flows confounded non-native listeners.

Polaris had to be completely abandoned, or we had to train it inventory language.

The Dialect’s Delivery

We favored development over trend. We created what we now refer to as a pattern dialect by adhering to Polaris’s core values of clarity, efficiency, consistency.

As a result, tasks have increased from 0 % to 100 % of the time. From three days to one change, onboard time was cut.

This was a dialect, not one of flexibility or theming; it was a rigorous translation that preserved Polaris ‘ core grammar while creating new words for a particular context. Polis had not failed; it had picked up the language of inventory.

The Flexibility Framework

Working on the Jira platform, which is a component of the larger Atlassian structure, I advocated formalizing this understanding at Atlassian. We needed comprehensive flexibility because dozens of products shared a design language across various codebases, but we built our methods of working directly into our own. The outdated model, which required exception requests and unique approvals, was failing at scale.

To help creators determine how flexible their elements should remain, we created the Flexibility Framework:

We tied every factor during a routing redesign. World research and logo remain constant. Crumbs and cultural actions evolved into Flexible. Product teams could quickly identify areas where development was advantageous and where regularity was important.

The Decision Ladder

Freedom requires restrictions. We built a straightforward rope to determine when regulations should be broken:

Good: Include system parts that already exist. Strong, reliable, and reliable.

Better: somewhat stretch a part. Document the shift. Bring developments up to the program so that everyone can use it.

Best: Create the ideal encounter initially. Update the system to support it if consumer assessment validates the profit.

Which choice allows users to achieve the quickest?

Laws are tools, not objects.

Unity defeats consistency

Email, Drive, and Maps all speak with their own accent, but they are clearly Google. They achieve coherence through shared values rather than copied parts. Engineer time is roughly$ 30K after one more year of box color debate.

Competency is a consumer outcome, while unification is a brand outcome. Part with the consumer when the two fight.

Leadership Without Gates

How can symmetry be maintained while enabling languages? Treat your body like a life diction:

Document every change, such as dialects or warehouses. director with explanations for the photos and reasoning.

Promote shared patterns, which are when three teams freely adopt a slang and evaluate it for primary inclusion.

Retire old idioms using flags and movement notes; this is never a big bang purge. Degrade with perspective.

Better than a freezing code, a living vocabulary weights.

Your First Dialect: Start Small

Are you ready to start introducing languages? Begin with a bad practice:

Find a user flow this week where great consistency prevents tasks from being completed. Users who use wireless devices might have issues with desktop-sized components or convenience issues that their traditional patterns do not address.

What causes common patterns to fail in this environment of documentation? economic restrictions User skills? intensity of the process?

Focus on actions rather than aesthetics, style one systematic change. If gloves are the issue, bigger targets are actually serving the customer rather than “broken the method.” Create the adjustments and incorporate them into your life.

Assess and check: Does implementing the change make tasks more efficient? Time for performance consumer satisfaction

Show the benefits: Fluency has paid for itself if that pronunciation frees perhaps half a jump.

Beyond the Component Library

We’re cultivating design languages, no managing design systems anymore. cultures that develop as they speak. voices that don’t lose significance when spoken in other cultures. language that prioritize the needs of people over cosmetic ideals.

Our buttons breaking the style guide didn’t matter, the warehouse workers who went from 0 % to 100 % of their tasks were satisfied with our work. They were concerned about how the keys turned out.

Your clients share your opinion. Offer your program consent to use their speech.

Picture this: Two people are conversing in what appears to be the same talk about the same pattern issue in a conference room at your tech company. One is talking about whether the staff has the right abilities to handle it. The other is examining whether the solution truly addresses the user’s issue. Similar room, the same issue, and entirely different perspectives.

This is the lovely, sometimes messy fact of having both a Design Manager and a Guide Designer on the same group. And you’re asking the right question if you’re wondering how to make this job without creating confusion, coincide, or the feared” to some cooks” situation.

Fresh lines on an organizational chart have always been the standard solution. The Design Manager handles persons, the Lead Designer handles art. Problem solved, is that correct? Except that fresh organizational charts are fantasy. In fact, both roles care greatly about crew health, style quality, and shipping great work.

When you begin to think of your style organization as a pattern organism, the magic happens when you accept collide rather than fight it.

The biology of a good design team

Here’s what I’ve learned from years of being on both flanks of this formula: think of your design team as a living organism. The style manager is guided by the group dynamics, emotional security, and career growth. The Lead Designer is more focused on the body ( the handiwork, the design standards, the hands-on projects that are delivered to users ).

But just like mind and body aren’t totally separate systems, but, also, do these tasks overlap in significant ways. Without working in harmony with one another, you didn’t have a good person. The technique is to know where those aligns are and how to manage them gently.

When we look at how good team really function, three critical devices emerge. Each role must coexist, but one must assume primary responsibility for maintaining a solid structure.

Individuals & Psychology: The Nervous System

Major caretaker: Design Manager
Supporting position: Guide Custom

The anxious system is all about mental health, comments, and signals. When this technique is good, information flows easily, people feel safe to take risks, and the staff may react quickly to new problems.

The primary caregiver is around, the Design Manager. They are making sure the team’s emotional pulse is healthier, creating the ideal environment for growth, and keeping track of the team’s psychological pulse. They’re hosting job meetings, managing task, and making sure no single burns out.

However, the Lead Designer has a significant enabling position. They’re offering visual feedback on build development requirements, identifying stagnant design skills, and assisting with the design manager’s potential growth opportunities.

Design Manager tends to:

• discussions about careers and career development
• emotional stability and dynamics of the group
• Job management and resource allocation
• Performance evaluations and opinions management methods
• Providing opportunities for learning

Direct Custom supports by:

• Giving craft-specific evaluation of team member creation
• identifying opportunities for growth and style ability gaps
• Providing design mentoring and assistance
• indicating when a group is prepared for more challenging tasks.

The Muscular System: Design, Design, and Execution

Major caretaker: Lead Designer
Supporting duties: Design Manager

The skeletal structure focuses on developing strength, coordination, and talent development. When this technique is healthy, the team can do complicated design work with precision, maintain regular quality, and adjust their craft to fresh challenges.

The Lead Designer is the main caregiver at this place. They are establishing design standards, offering craft instruction, and making sure that shipping work meets the required standards. They’re the ones who can tell you if a design decision is sound or if we’re solving the right problem.

However, the Design Manager has a significant supporting role. They are making sure the team has the resources and support they need to perform their best work, including ensuring that an athlete receives adequate nutrition and time for recovery.

Lead Designer tends to:

• Definition of system requirements and design standards
• Feedback on design output that meets the required standards
• Experience direction for the product
• Design choices and product-wide alignment are at stake.
• advancement of craft and innovation

Design Manager supports by:

• ensuring that design standards are understood and accepted by all members of the team
• Confirming that a direction of experience is being pursued
• Supporting practices and systems that scale without bottlenecking
• facilitating team-wide design alignment
• Providing resources and removing obstacles to outstanding craft work

The Circulatory System: Strategy &amp, Flow

Shared caretakers: Lead Designer and Design Manager, respectively.

The circulatory system is concerned with how the team’s decisions and energy are distributed. When this system is healthy, strategic direction is clear, priorities are aligned, and the team can respond quickly to new opportunities or challenges.

True partnership occurs in this context. Although both positions bring unique perspectives, keeping the circulation strong is a dual responsibility.

Lead Designer contributes:

• User requirements are satisfied with the finished product
• overall experience and product quality
• Strategic design initiatives
• User requirements for each initiative are based on research.

Design Manager contributes:

• Communication to team and stakeholders
• Management of stakeholders and alignment
• Team accountability across all levels
• Strategic business initiatives

Both parties work together:

• Co-creation of strategy with leadership
• Team goals and prioritization approach
• organizational structure decisions
• Success frameworks and measures

Keeping the Organism Healthy

Understanding that all three systems must work together is the key to making this partnership sing. A team will eventually lose their way despite excellent craftmanship and poor psychological safety. A team with great culture but weak craft execution will ship mediocre work. A team that has both but poor strategic planning will work hard on the wrong things.

Be Specific About the System You’re Defending.

When you’re in a meeting about a design problem, it helps to acknowledge which system you’re primarily focused on. Everyone has context for their input.” I’m thinking about this from a team capacity perspective” ( nervous system ) or” I’m looking at this through the lens of user needs” ( muscular system ).

This is not about staying in your own path. It’s about being transparent as to which lens you’re using, so the other person knows how to best add their perspective.

Create Positive Feedback Loops

Which partnerships have created clear feedback loops between the systems in the most effective ways?

Nervous system signals to muscular system:” The team is struggling with confidence in their design skills” → Lead Designer provides more craft coaching and clearer standards.

The nervous system receives the message” The team’s craft skills are progressing more quickly than their project complexity.”

We’re seeing patterns in team health and craft development that suggest we need to adjust our strategic priorities, both systems say to the circulatory system.

Handle Handoffs Gracefully

When something switches from one system to another, this partnership’s pivotal moment is. This might occur when a design standard ( muscular system ) needs to be implemented across the team ( nervous system ) or when a tactical initiative ( circulatory system ) requires specific craft execution ( muscular system ).

Make these transitions explicit. I’ve defined the new component requirements. Can you give me some ideas on how to get the team up to speed?” or” We’ve agreed on this strategic direction. From here, I’ll concentrate on the specific user experience approach.

Stay curious and not territorial.

The Design Manager who never thinks about craft, or the Lead Designer who never considers team dynamics, is like a doctor who only looks at one body system. Even when they aren’t the primary caretaker, great design leadership requires both people to be as concerned with the entire organism.

This entails asking questions rather than making assumptions. ” What do you think about the team’s craft development in this area”? or” How do you think this is affecting team morale and workload?” keeps both viewpoints present in every choice.

When the Organism Gets Sick

This partnership can go wrong even with clear roles. What are the most typical failure modes I’ve seen:

System Isolation

The Design Manager ignores craft development and only concentrates on the nervous system. The Lead Designer ignores team dynamics and only concentrates on the muscular system. Both people retreat to their comfort zones and stop collaborating.

The signs: Team members receive conflicting messages, poor morale, and poor communication.

Reconnect with other people and discuss shared outcomes. What are you both trying to achieve? Great design work typically arrives on time from a strong team. Discover how both systems accomplish that goal.

Poor Circulation

There is no clear strategic direction, shifting priorities, or accepting responsibility for keeping information flowing.

The signs are: Team members are unsure of their priorities, work is duplicated or dropped, and deadlines are missed.

The treatment: Explicitly assign responsibility for circulation. Who is communicating with whom? How frequently? What’s the feedback loop?

Autoimmune Response

One person feels threatened by the other’s skill set. The Design Manager thinks the Lead Designer is undermining their authority. The Design Manager is allegedly misunderstanding the craft, according to the lead designer.

The symptoms: defensive behavior, territorial disputes, middle-class teammates, etc.

The treatment: Remember that you’re both caretakers of the same organism. When one system fails, the entire team suffers. The team thrives when both systems are strong.

The Payoff

Yes, communication is required for this model. Yes, it requires that both parties be able to assume full responsibility for team health. But the payoff is worth it: better decisions, stronger teams, and design work that’s both excellent and sustainable.

When both roles are well-balanced and functioning well together, you get the best of both worlds: strong people leadership and deep craft knowledge. When one person is overly sick, on vacation, or overworked, the other can help keep the team’s health. When a decision requires both the people perspective and the craft perspective, you’ve got both right there in the room.

Most importantly, the framework is flexible. As your team expands, you can use the same system thinking to new problems. Need to launch a design system? Both the muscular system ( standards and implementation ), the nervous system (team adoption and change management ), and both have a tendency to circulate ( communication and stakeholder alignment ).

The End result

The relationship between a Design Manager and Lead Designer isn’t about dividing territories. It’s about multiplying impact. Magic occurs when both roles are aware that they are promoting various aspects of a healthy organism.

The mind and body work together. The team benefits from both strategic thinking and craftmanship. And most importantly, the work that is distributed to users benefits both sides.

So the next time you’re in that meeting room, wondering why two people are talking about the same problem from different angles, remember: you’re watching shared leadership in action. And if it’s functioning well, your design team’s mind and body will both become stronger.

I’ve lost count of the times I’ve watched promising thoughts go from zero to warrior in a few days before failing to deliver within weeks as a product developer for very long.

Financial items, which is the area of my specialization, are no exception. It’s tempting to put as many features at the ceiling as possible and hope someone sticks because people’s true, hard-earned money is on the line, user expectations are high, and a crammed market. However, this strategy will lead to disaster. Why, you see this:

The perils of feature-first growth

It’s easy to get swept up in the enthusiasm of developing innovative features when you start developing a financial product from scratch or are migrating existing user journeys from papers or telephony channels to online bank or mobile applications. You might be thinking,” If I can only put one more thing that solves this particular person problem, they’ll appreciate me”! But what happens if you eventually encounter a roadblock as a result of your safety team’s negligence? don’t like it, right? When a difficult-fought film fails to win over viewers or fails owing to unanticipated difficulty?

The concept of Minimum Viable Product ( MVP ) is applied to this. Even though Jason Fried doesn’t usually refer to it that way, his podcast Rework and his book Getting True frequently address this concept. An MVP is a product that offers only enough significance to your users to keep them interested, but not so much that it becomes difficult to keep up. Although the idea seems simple, it requires a razor-sharp eye, a ruthless edge, and the courage to stand up for your position because it is easy to fall for” the Columbo Effect” when there is always” just one more thing …” to add.

The issue with most fund apps is that they frequently turn out to be reflections of the company’s internal politics rather than an experience created purely for the customer. Instead of offering a distinct value statement that is focused on what people in the real world want, the focus should be on delivering as some features and functionalities as possible to satisfy the needs and wants of competing inside sections. As a result, these products can very quickly became a mixed bag of misleading, related, and finally unhappy customer experiences—a feature salad, you might say.

The significance of the foundation

What’s a better course of action then? How can we create products that are user-friendly, stable, and, most importantly, stick?

The concept of “bedrock” comes into play in this context. Bedrock is the main feature of your product that truly matters to customers. It serves as the foundation for the fundamental building block that creates value and maintains relevance over time.

The bedrock has to be in and around the regular servicing journeys in the world of retail banking, which is where I work. People only look at their current account once every blue moon, but they do so daily. They sign up for a credit card every year or two, but they check their balance and pay their bill at least once a month.

The key is in identifying the core tasks that people want to complete and working relentlessly to make them simple, reliable, and trustworthy.

But how do you reach the foundation? By focusing on the” MVP” approach, giving simplicity precedence, and working iteratively toward a clear value proposition. This means avoiding pointless extras and putting your users first, making the most of them.

It also requires having some guts, as your coworkers might not always agree with you immediately. And in some cases, it might even mean making it clear to customers that you won’t be coming over to their house to prepare their meal. Sometimes you need to use the sporadic “opinionated user interface design” ( i .e. clunky workaround for edge cases ) to test a concept or to give yourself some more time to work on something more crucial.

Practical methods for creating stick-like financial products

What are the main learnings I’ve made from my own research and experience, then?

1. What problem are you trying to solve first, and make a clear “why”? Whom? Before beginning any project, make sure your mission is completely clear. Make sure it also complies with the goals of your business.
2. Avoid putting too many features on the list at once; instead, focus on getting that right first. Choose one that actually adds value, and work from there.
3. Give simplicity the precedence it deserves over complexity when it comes to financial products. Eliminate unnecessary details and concentrate on what matters most.
4. Accept continuous iteration: Bedrock is not a fixed destination; it is a dynamic process. Continuously collect user feedback, make improvements to your product, and move toward that foundation.
5. Stop, look, and listen: You don’t just have to test your product during the delivery process; you must also test it repeatedly in the field. Use it for yourself. Run the A/B tests. User feedback on Gatter. Talk to users and make adjustments accordingly.

The bedrock paradox

This is an intriguing paradox: sacrificing some of the potential for short-term growth in favor of long-term stability is at play. But the payoff is worthwhile because products built with a focus on bedrock will outlive and outperform their rivals over time and provide users with long-term value.

How do you begin your quest for bedrock, then? Take it gradually. Start by identifying the essential components that your users actually care about. Concentrate on developing and improving a single, potent feature that delivers real value. And most importantly, make an obsessive effort because, in the words of Abraham Lincoln, Alan Kay, or Peter Drucker ( whew! The best way to foretell the future is to create it, he said.

Everyone is being hit hard by the recent Doctor Who break. From Ncuti Gatwa’s regeneration to who previous companion Billie Piper is supposed to play at the year 15 episode, fans, detractors, former cast members, and earlier poets have all voiced their opinions [ …].

The first article on Den of Geek: A Doctor Who Producer’s Confirmation of What’s Up appeared second.

We’ve been conversing for a long time. Whether to present information, perform transactions, or just to check in on one another, people have yammered aside, chattering and gesticulating, through spoken discussion for many generations. Only recently have we begun to write our conversations, and only recently have we outsourced them to the system, a system that exhibits a far greater affection for written communications than for the vernacular rigors of spoken speech.

Laptops have trouble because between spoken and written speech, talk is more primitive. Machines must wrestle with the chaos of human statement, including the squabbling and pauses, the gestures and body vocabulary, and the dialect variations that can impede even the most skillfully created human-computer conversation. In the human-to-human situation, spoken language also has the opportunity of face-to-face call, where we can easily interpret visual interpersonal cues.

In contrast, written language develops its own fossil record of dated terms and phrases as we commit to recording and keeping usages long after they are no longer relevant in spoken communication ( for example, the salutation” To whom it may concern” ). Because it tends to be more consistent, smooth, and proper, written word is necessarily far easier for devices to interpret and know.

This pleasure is not available in spoken speech. Besides the visual cues that mark conversations with emphasis and personal context, there are also linguistic cues and outspoken behaviors that mimic conversation in complex ways: how something is said, never what. Our spoken speech conveys much more than the written word may actually contain, whether it be rapid-fire, low-pitched, or high-decibel, sarcastic, awkward, or moaning. But when it comes to tone interfaces—the devices we conduct spoken discussions with—we experience exciting difficulties as designers and content strategists.

Voice Compositions

We interact with voice interfaces for a variety of reasons, but according to Michael McTear, Zoraida Callejas, and David Griol in The Conversational Interface, those motivations by and large mirror the reasons we initiate conversations with other people, too ( ). We typically strike up a discussion in the following ways:

• we need something done ( such as a transaction ),
• we want to hear something, some kind of knowledge, or
• we are social people and want someone to talk to ( conversation for conversation’s purpose ).

These three categories, which I refer to as interpersonal, informational, and prosocial, also apply to basically every voice interaction: a solitary conversation that starts with the voice interface’s initial greeting and ends with the user leaving the interface. Notice here that a discussion in our individual sense—a talk between people that leads to some effect and lasts an arbitrary length of time—could encompass many interpersonal, technical, and interpersonal voice interactions in succession. In other words, a voice interaction is a conversation, but it must not be one particular voice interaction.

Purely prosocial conversations are more gimmicky than captivating in most voice interfaces, because machines don’t yet have the capacity to really want to know how we’re doing and to do the sort of glad-handing humans crave. Additionally, there is ongoing debate about whether users actually prefer the type of organic human conversation that starts with a prosocial voice and progresses seamlessly into new ones. In fact, in Voice User Interface Design, Michael Cohen, James Giangola, and Jennifer Balogh recommend sticking to users ‘ expectations by mimicking how they interact with other voice interfaces rather than trying too hard to be human—potentially alienating them in the process ( ).

A voice interface can also have two types of conversations we can have with one another that are both transactional and informational, each learning something new ( “discuss a musical” ).

Transactional voice interactions

When you order a Hawaiian pizza with extra pineapple, you’re typically having a conversation and a voice interaction when you’re tapping buttons on a food delivery app. Even when we walk up to the counter and place an order, the conversation quickly pivots from an initial smattering of neighborly small talk to the real mission at hand: ordering a pizza ( generously topped with pineapple, as it should be ).

Alison: Hey, how are things going?

Burhan: Hi, welcome to Crust Deluxe! It’s chilly outside. How can I help you?

Alison: Can I get a pizza from Hawaii with extra pineapple.

Burhan: Sure, what size?

Large, Alison.

Burhan: Anything else?

Alison: No, that’s it.

Burhan: Something to drink?

Alison: I’ll have a bottle of Coke.

Burhan: You got it. That will cost$ 13.55 and take about fifteen minutes.

Each progressive disclosure in this transactional conversation reveals more and more of the desired outcome of the transaction: a service rendered or a product delivered. Transactional conversations exhibit a few key characteristics: they’re direct, to the point, and economical. They quickly dispense with pleasantries.

Informational voice interactions

Meanwhile, some conversations are primarily about obtaining information. Alison might visit Crust Deluxe with the sole intention of placing an order, but she might not want to leave with a pizza at all. She might be just as interested in whether they serve halal or kosher dishes, gluten-free options, or something else. We’re after much more than just a prosocial mini-conversation at the beginning, even though we do it once more to establish politeness.

Alison: Hey, how are things going?

Burhan: Hi, welcome to Crust Deluxe! It’s chilly outside. How can I help you?

Alison: Can I ask a few questions?

Burhan: Of course! Go right ahead.

Alison, do you have any menu items that are halal?

Burhan: Absolutely! On request, we can make any pie halal. We also have lots of vegetarian, ovo-lacto, and vegan options. Are you considering any additional dietary restrictions?

Alison: What about gluten-free pizzas?

Burhan: For both our deep-dish and thin-crust pizzas, we can definitely make a gluten-free crust for you, without a problem. Anything else I can answer for you?

Alison: That’s it for now. Good to know. Thank you!

Burhan: Anytime, come back soon!

This dialogue is radically different. Here, the goal is to get a certain set of facts. Informational conversations are research expeditions to gather data, news, or facts in search of the truth. Voice interactions that are informational might be more long-winded than transactional conversations by necessity. Responses are typically longer, more in-depth, and carefully communicated to ensure that the customer understands the main ideas.

Voice Interfaces

Voice interfaces essentially use speech to assist users in accomplishing their objectives. But simply because an interface has a voice component doesn’t mean that every user interaction with it is mediated through voice. We’re most concerned in this book with pure voice interfaces because multimodal voice interfaces can lean on visual components like screens as crutches, which are completely dependent on spoken conversation and lack any visual component, making them much more nuanced and challenging to deal with.

Though voice interfaces have long been integral to the imagined future of humanity in science fiction, only recently have those lofty visions become fully realized in genuine voice interfaces.

IVR ( interactive voice response ) systems

Though written conversational interfaces have been fixtures of computing for many decades, voice interfaces first emerged in the early 1990s with text-to-speech ( TTS ) dictation programs that recited written text aloud, as well as speech-enabled in-car systems that gave directions to a user-provided address. We became familiar with the first real voice interfaces that engaged in authentic conversation with the advent of interactive voice response ( IVR ) systems, which were created as an alternative to overburdened customer service representatives.

IVR systems allowed organizations to reduce their reliance on call centers but soon became notorious for their clunkiness. These systems, which are commonplace in the corporate world, were primarily intended as metaphorical switchboards to direct customers to real phone agents (” Say Reservations to book a flight or check an itinerary” ), and it is likely that when you call an airline or hotel conglomerate, you will have the opportunity to have a conversation with one. Despite their functional issues and users ‘ frustration with their inability to speak to an actual human right away, IVR systems proliferated in the early 1990s across a variety of industries (, PDF).

IVR systems have a reputation for having less scintillating conversation than we’re used to in real life ( or even in science fiction ), but they are great for highly repetitive, monotonous conversations that typically don’t veer from a single format.

Screen readers

The invention of the screen reader, a tool that converts visual content into synthesized speech, was a development of IVR systems in parallel. For Blind or visually impaired website users, it’s the predominant method of interacting with text, multimedia, or form elements. Perhaps the closest thing we have today to an out-of-the-box implementation of content delivered through voice is represented by screen readers.

Among the first screen readers known by that moniker was the Screen Reader for the BBC Micro and NEEC Portable developed by the Research Centre for the Education of the Visually Handicapped (RCEVH) at the University of Birmingham in 1986 ( ). The first IBM Screen Reader for text-based computers was created by Jim Thatcher in the same year, which was later recreated for computers with graphical user interfaces ( GUIs ) ( ).

With the rapid growth of the web in the 1990s, the demand for accessible tools for websites exploded. Screen readers started facilitating quick interactions with web pages that ostensibly allow disabled users to traverse the page as an aural and temporal space rather than a visual and physical one with the introduction of semantic HTML and especially ARIA roles in 2008, enabling speedy interactions with the pages. In other words, screen readers for the web “provide mechanisms that translate visual design constructs—proximity, proportion, etc. in A List Apart, writes Aaron Gustafson, “into useful information.” ” At least they do when documents are authored thoughtfully” ( ).

There’s a big deal with screen readers: they’re difficult to use and relentlessly verbose, despite being incredibly instructive for voice interface designers. The visual structures of websites and web navigation don’t translate well to screen readers, sometimes resulting in unwieldy pronouncements that name every manipulable HTML element and announce every formatting change. Working with web-based interfaces takes a cognitive toll for many screen reader users.

In Wired, accessibility advocate and voice engineer Chris Maury considers why the screen reader experience is ill-suited to users relying on voice:

I hated the way Screen Readers operated from the beginning. Why are they designed the way they are? It makes no sense to present information visually before converting it to audio only after that. All of the time and energy that goes into creating the perfect user experience for an app is wasted, or even worse, adversely impacting the experience for blind users. __ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

In many cases, well-designed voice interfaces can speed users to their destination better than long-winded screen reader monologues. After all, users of the visual interface have the advantage of freely scurrying around the viewport to find information without getting too close to it. Blind users, meanwhile, are obligated to listen to every utterance synthesized into speech and therefore prize brevity and efficiency. Users with disabilities who have long had no choice but to use clumsy screen readers might find that voice interfaces, especially more contemporary voice assistants, provide a more streamlined experience.

Voice assistants

Many of us immediately associate voice assistants with the popular subset of voice interfaces found in living rooms, smart homes, and offices with the film A Space Odyssey or with Majel Barrett’s voice as the omniscient computer from Star Trek. Voice assistants are akin to personal concierges that can answer questions, schedule appointments, conduct searches, and perform other common day-to-day tasks. And they’re quickly gaining more attention from accessibility advocates for their assistive potential.

Before the earliest IVR systems found success in the enterprise, Apple published a demonstration video in 1987 depicting the Knowledge Navigator, a voice assistant that could transcribe spoken words and recognize human speech to a great degree of accuracy. Then, in 2001, Tim Berners-Lee and others created their vision for a” semantic web agent” that would carry out routine tasks like” checking calendars, making appointments, and finding locations” ( hinter paywall ). It wasn’t until 2011 that Apple’s Siri finally entered the picture, making voice assistants a tangible reality for consumers.

There are a lot of variations in the programmability and customization of some voice assistants compared to others ( Fig. 1 ). As a result of the breadth of voice assistants available today ( Fig. 1 ). At one extreme, everything except vendor-provided features is locked down, for example, at the time of their release, the core functionality of Apple’s Siri and Microsoft’s Cortana couldn’t be extended beyond their existing capabilities. There are no other means by which developers can interact with Siri at a low level, aside from predefined categories of tasks like sending messages, hailing rideshares, making restaurant reservations, and other things, which are still unavoidable today.

At the opposite end of the spectrum, voice assistants like Amazon Alexa and Google Home offer a core foundation on which developers can build custom voice interfaces. For this reason, developers who feel constrained by the limitations of Siri and Cortana are increasingly using programmable voice assistants that are extensibable and customizable. Amazon offers the Alexa Skills Kit, a developer framework for building custom voice interfaces for Amazon Alexa, while Google Home offers the ability to program arbitrary Google Assistant skills. Users of the Amazon Alexa and Google Assistant ecosystems can choose from among the thousands of custom-built skills available today.

As businesses like Amazon, Apple, Microsoft, and Google continue to dominate their markets, they are also selling and open-sourcing an unmatched range of tools and frameworks for designers and developers, aiming to make creating voice interfaces as simple as possible, even without the use of any code.

Often by necessity, voice assistants like Amazon Alexa tend to be monochannel—they’re tightly coupled to a device and can’t be accessed on a computer or smartphone instead. In contrast, many development platforms, such as Google’s Dialogflow, have omnichannel capabilities that allow users to create a single conversational interface that then manifests as a voice interface, textual chatbot, and IVR system upon deployment. I don’t prescribe any specific implementation approaches in this design-focused book, but in Chapter 4 we’ll get into some of the implications these variables might have on the way you build out your design artifacts.

Voice Content

Simply put, voice content is content delivered through voice. Voice content must be free-flowing, organic, contextless, and concise in order to preserve what makes human conversation so compelling in the first place.

Our world is replete with voice content in various forms: screen readers reciting website content, voice assistants rattling off a weather forecast, and automated phone hotline responses governed by IVR systems. We’re most concerned with the content in this book being delivered auditorically, not as an option but as a necessity.

For many of us, our first foray into informational voice interfaces will be to deliver content to users. There is only one issue: any content we already have isn’t in any way suitable for this new environment. So how do we make the content trapped on our websites more conversational? And how do we create fresh copy that works with voice-recognition?

Lately, we’ve begun slicing and dicing our content in unprecedented ways. Websites are, in many ways, colossal vaults of what I call macrocontent: lengthy prose that can last for miles in a browser window, like microfilm viewers of newspaper archives. Back in 2002, well before the present-day ubiquity of voice assistants, technologist Anil Dash defined microcontent as permalinked pieces of content that stay legible regardless of environment, such as email or text messages:

An example of microcontent can be a day’s weather forecast [sic], an airplane flight’s arrival and departure times, an abstract from a lengthy publication, or a single instant message. __ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

I would update Dash’s definition of microcontent to include all instances of bite-sized content that goes beyond written communiqués. After all, today we encounter microcontent in interfaces where a small snippet of copy is displayed alone, unmoored from the browser, like a textbot confirmation of a restaurant reservation. The best way to learn how to stretch your content to the limits of its potential is through microcontent, which will inform both established and new delivery methods.

As microcontent, voice content is unique because it’s an example of how content is experienced in time rather than in space. We can instantly see when the next train is coming from a digital sign underground, but voice interfaces keep our attention captive for so long that we can’t quickly evade or skip, a feature that screen reader users are all too familiar with.

Because microcontent is fundamentally made up of isolated blobs with no relation to the channels where they’ll eventually end up, we need to ensure that our microcontent truly performs well as voice content—and that means focusing on the two most important traits of robust voice content: voice content legibility and voice content discoverability.

Our voice content’s legibility and discoverability in general both depend on how it manifests in terms of perceived space and time.

Although I’m not certain when I first heard this statement, it has stuck with me over the centuries. How do you generate solutions for scenarios you can’t think? Or create materials that are functional on products that have not yet been created?

Flash, Photoshop, and flexible pattern

When I first started designing sites, my go-to technology was Photoshop. I created a design for a 960px paint that I would later add willing to. The growth phase was about attaining pixel-perfect precision using set widths, fixed levels, and absolute placement.

All of this was altered by Ethan Marcotte’s speak at An Event Apart and the subsequent article in A Checklist Off in 2010. I was sold on responsive pattern as soon as I heard about it, but I was even terrified. The pixel-perfect models full of special figures that I had formerly prided myself on producing were no longer good enough.

My first encounter with flexible design didn’t help my fear. My second project was to get an active fixed-width website and make it reactive. You can’t really put responsiveness at the end of a job, which I learned the hard way. To make smooth design, you need to prepare throughout the style phase.

A new way to style

Removing restrictions and creating content that can be viewed on any device has always been the goal of designing responsive or liquid websites. It relies on the use of percentage-based design, which I immediately achieved with local CSS and power groups:

.column-span-6 { width: 49%; float: left; margin-right: 0.5%; margin-left: 0.5%;}.column-span-4 { width: 32%; float: left; margin-right: 0.5%; margin-left: 0.5%;}.column-span-3 { width: 24%; float: left; margin-right: 0.5%; margin-left: 0.5%;}

Therefore using Sass to re-use repeated slabs of code and transition to more semantic premium:

.logo { @include colSpan(6);}.search { @include colSpan(3);}.social-share { @include colSpan(3);}

Media concerns

The next ingredient for reactive design is press queries. Without them, regardless of whether the content remained readable, would shrink to fit the available space. ( The exact opposite issue developed with the introduction of a mobile-first approach. )

Media concerns prevented this by allowing us to add breakpoints where the design could adapt. Like most people, I started out with three breakpoints: one for desktop, one for tablets, and one for mobile. Over the years, I added more and more for phablets, wide screens, and so on. 

For years, I happily worked this way and improved both my design and front-end skills in the process. The only problem I encountered was making changes to content, since with our Sass grid system in place, there was no way for the site owners to add content without amending the markup—something a small business owner might struggle with. This is because each row in the grid was defined using a div as a container. Adding content meant creating new row markup, which requires a level of HTML knowledge.

String premium was a mainstay of early flexible design, present in all the frequently used systems like Bootstrap and Skeleton.

 
1 of 7
 
2 of 7
 
3 of 7
 
4 of 7
 
5 of 7
 
6 of 7
 
7 of 7

Another difficulty arose as I moved from a design firm building websites for little- to medium-sized companies, to larger in-house teams where I worked across a collection of related sites. In those capacities, I began to work many more with washable pieces.

Our rely on multimedia queries resulted in parts that were tied to frequent window sizes. If the goal of part libraries is modify, then this is a real problem because you can just use these components if the devices you’re designing for correspond to the viewport sizes used in the pattern library—in the process never really hitting that “devices that don’t already occur” goal.

Then there’s the problem of space. Media concerns allow components to adapt based on the viewport size, but what if I put a component into a sidebar, like in the figure below?

Container queries: our savior or a false dawn?

Container queries have long been touted as an improvement upon media queries, but at the time of writing are unsupported in most browsers. There are workarounds for JavaScript, but they can lead to dependencies and compatibility issues. The basic theory underlying container queries is that elements should change based on the size of their parent container and not the viewport width, as seen in the following illustrations.

One of the biggest arguments in favor of container queries is that they help us create components or design patterns that are truly reusable because they can be picked up and placed anywhere in a layout. This is an important step in moving toward a form of component-based design that works at any size on any device.

In other words, responsive layouts are to be replaced by responsive components.

Container queries will help us move from designing pages that respond to the browser or device size to designing components that can be placed in a sidebar or in the main content, and respond accordingly.

My issue is that layout is still used to determine when a design needs to adapt. This approach will always be restrictive, as we will still need pre-defined breakpoints. For this reason, my main question with container queries is, How would we decide when to change the CSS used by a component?

The best place to make that choice is probably a component library that is disconnected from context and real content.

As the diagrams below illustrate, we can use container queries to create designs for specific container widths, but what if I want to change the design based on the image size or ratio?

In this example, the dimensions of the container are not what should dictate the design, rather, the image is.

Without having strong cross-browser support for them, it’s difficult to say for certain whether container queries will be a success story. Responsive component libraries would definitely evolve how we design and would improve the possibilities for reuse and design at scale. However, we might always need to modify these elements to fit our content.

CSS is changing

Whilst the container query debate rumbles on, there have been numerous advances in CSS that change the way we think about design. The days of fixed-width elements measured in pixels and floated div elements used to cobble layouts together are long gone, consigned to history along with table layouts. Flexbox and CSS Grid have revolutionized layouts for the web. We can now create elements that wrap onto new rows when they run out of space, not when the device changes.

.wrapper { display: grid; grid-template-columns: repeat(auto-fit, 450px); gap: 10px;}

The repeat() function paired with auto-fit or auto-fill allows us to specify how much space each column should use while leaving it up to the browser to decide when to spill the columns onto a new line. Similar things can be achieved with Flexbox, as elements can wrap over multiple rows and “flex” to fill available space. 

.wrapper { display: flex; flex-wrap: wrap; justify-content: space-between;}.child { flex-basis: 32%; margin-bottom: 20px;}

The biggest benefit of all of this is that you don’t need to wrap any containers in rows. Without rows, content isn’t tied to page markup in quite the same way, allowing for removals or additions of content without additional development.

This is a big step forward when it comes to creating designs that allow for evolving content, but the real game changer for flexible designs is CSS Subgrid.

Remember the days of crafting perfectly aligned interfaces, only for the customer to add an unbelievably long header almost as soon as they’re given CMS access, like the illustration below?

Subgrid allows elements to respond to adjustments in their own content and in the content of sibling elements, helping us create designs more resilient to change.

.wrapper { display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); grid-template-rows: auto 1fr auto; gap: 10px;}.sub-grid { display: grid; grid-row: span 3; grid-template-rows: subgrid; /* sets rows to parent grid */}

CSS Grid allows us to separate layout and content, thereby enabling flexible designs. Meanwhile, Subgrid allows us to create designs that can adapt in order to suit morphing content. Subgrid is only supported in Firefox at the time of writing, but the above code can be implemented behind an @supports feature query.

Intrinsic layouts

I’d be remiss not to mention intrinsic layouts, a term used by Jen Simmons to describe a mix of contemporary and traditional CSS features used to create layouts that respond to available space.

Responsive layouts have flexible columns using percentages. Intrinsic layouts, on the other hand, use the fr unit to create flexible columns that won’t ever shrink so much that they render the content illegible.

frunits is a statement that says I want you to distribute the extra space in this manner, but never that it should be smaller than the content inside.

—Jen Simmons,” Designing Intrinsic Layouts”

Intrinsic layouts can also make use of a mix of fixed and flexible units, letting the content choose how much space it occupies.

What makes intrinsic design stand out is that it not only creates designs that can withstand future devices but also helps scale design without losing flexibility. Without having to have the same breakpoints or content as in the previous implementation, components and patterns can be removed and reused.

We can now create designs that adapt to the space they have, the content within them, and the content around them. We can create responsive components without relying on container queries using an intrinsic approach.

Another 2010 moment?

This intrinsic approach should in my view be every bit as groundbreaking as responsive web design was ten years ago. It’s another “everything changed” moment for me.

But it doesn’t seem to be moving quite as fast, I haven’t yet had that same career-changing moment I had with responsive design, despite the widely shared and brilliant talk that brought it to my attention.

One possible explanation for that is that I now work for a sizable company, which is quite different from the role I held as a design agency in 2010! In my agency days, every new project was a clean slate, a chance to try something new. Nowadays, projects use existing tools and frameworks and are often improvements to existing websites with an existing codebase.

Another possibility is that right now I feel more prepared for change. In 2010 I was new to design in general, the shift was frightening and required a lot of learning. Additionally, an intrinsic approach isn’t exactly new; it’s a different way to use existing skills and CSS knowledge.

You can’t framework your way out of a content problem

Another reason for the slightly slower adoption of intrinsic design could be the lack of quick-fix framework solutions available to kick-start the change.

Ten years ago, responsive grid systems were everywhere. With a framework like Bootstrap or Skeleton, you had a responsive design template at your fingertips.

Because the benefit of having a selection of units is a hindrance when it comes to creating layout templates, intrinsic design and frameworks do not go hand in hand quite as well. The beauty of intrinsic design is combining different units and experimenting with techniques to get the best for your content.

And then there are design tools. We probably all used Photoshop templates for desktop, tablet, and mobile devices to drop designs into and demonstrate how the site would look at all three stages at some point in our careers.

How do you do that now, with each component responding to content and layouts flexing as and when they need to? Personally, I’m a big fan of this kind of design in the browser.

The debate about “whether designers should code” is another that has rumbled on for years. When designing a digital product, we should, at the very least, design for a best- and worst-case scenario when it comes to content. It’s not ideal to implement this in a graphics-based software package. In code, we can add longer sentences, more radio buttons, and extra tabs, and watch in real time as the design adapts. Still in use? Is the design too reliant on the current content?

Personally, I look forward to the day intrinsic design is the standard for design, when a design component can be truly flexible and adapt to both its space and content with no reliance on device or container dimensions.

Content should come first

Content is not constant. After all, to design for the unanticipated or unexpected, we must take into account changes in content, like in our earlier Subgrid card illustration, which allowed the cards to modify both their own content and that of their sibling components.

Thankfully, there’s more to CSS than layout, and plenty of properties and values can help us put content first. Subgrid and pseudo-elements like ::first-line and ::first-letter help to separate design from markup so we can create designs that allow for changes.

Instead of the dated markup tricks below,

 First line of text with different styling...

—we can target content based on where it appears.

.element::first-line { font-size: 1.4em;}.element::first-letter { color: red;}

Much bigger additions to CSS include logical properties, which change the way we construct designs using logical dimensions (start and end) instead of physical ones (left and right), something CSS Grid also does with functions like min(), max(), and clamp().

This flexibility allows for directional changes according to content, a common requirement when we need to present content in multiple languages. In the past, this was often achieved with Sass mixins but was often limited to switching from left-to-right to right-to-left orientation.

Directional variables must be set in the Sass version.

$direction: rtl;$opposite-direction: ltr;$start-direction: right;$end-direction: left;

These variables can be used as values—

body { direction: $direction; text-align: $start-direction;}

—or as properties.

margin-#{$end-direction}: 10px;padding-#{$start-direction}: 10px;

However, now we have native logical properties, removing the reliance on both Sass ( or a similar tool ) and pre-planning that necessitated using variables throughout a codebase. These properties also start to break apart the tight coupling between a design and strict physical dimensions, creating more flexibility for changes in language and in direction.

margin-block-end: 10px;padding-block-start: 10px;

There are also native start and end values for properties like text-align, which means we can replace text-align: right with text-align: start.

Like the earlier examples, these properties help to build out designs that aren’t constrained to one language, the design will reflect the content’s needs.

Fluid and fixed

We briefly covered the power of combining fixed widths with fluid widths with intrinsic layouts. The min() and max() functions are a similar concept, allowing you to specify a fixed value with a flexible alternative. 

For min() this means setting a fluid minimum value and a maximum fixed value.

.element { width: min(50%, 300px);}

The element in the figure above will be 50 % of its container as long as the element’s width doesn’t exceed 300px.

For max() we can set a flexible max value and a minimum fixed value.

.element { width: max(50%, 300px);}

Now the element will be 50 % of its container as long as the element’s width is at least 300px. This means we can set limits but allow content to react to the available space.

The clamp() function builds on this by allowing us to set a preferred value with a third parameter. Now we can allow the element to shrink or grow if it needs to without getting to a point where it becomes unusable.

.element { width: clamp(300px, 50%, 600px);}

This time, the element’s width will be 50 % of its container’s preferred value, with no exceptions for 300px and 600px.

With these techniques, we have a content-first approach to responsive design. We can separate content from markup, meaning the changes users make will not affect the design. By making plans for unanticipated changes in language or direction, we can begin to future-proof designs. And we can increase flexibility by setting desired dimensions alongside flexible alternatives, allowing for more or less content to be displayed correctly.

First, the circumstances

Thanks to what we’ve discussed so far, we can cover device flexibility by changing our approach, designing around content and space instead of catering to devices. But what about that last bit of Jeffrey Zeldman’s quote,”… situations you haven’t imagined”?

It’s a completely different design process for someone using a mobile phone and moving through a crowded street in glaring sunshine from a person using a desktop computer. Situations and environments are hard to plan for or predict because they change as people react to their own unique challenges and tasks.

Choice is so crucial because of this. One size never fits all, so we need to design for multiple scenarios to create equal experiences for all our users.

Thankfully, there is a lot we can do to provide choice.

Responsible design is important.

” There are parts of the world where mobile data is prohibitively expensive, and where there is little or no broadband infrastructure”.

” I Used the Web for a Day on a 50 MB Budget.”

Chris Ashton

One of the biggest assumptions we make is that people interacting with our designs have a good wifi connection and a wide screen monitor. However, our users may be commuters using smaller mobile devices that may experience disconnects in connectivity in the real world. There is nothing more frustrating than a web page that won’t load, but there are ways we can help users use less data or deal with sporadic connectivity.

The srcset attribute allows the browser to decide which image to serve. This means we can create smaller ‘cropped’ images to display on mobile devices in turn using less bandwidth and less data.

The preload attribute can also help us to think about how and when media is downloaded. It can be used to tell a browser about any critical assets that need to be downloaded with high priority, improving perceived performance and the user experience. 

There’s also native lazy loading, which indicates assets that should only be downloaded when they are needed.

With srcset, preload, and lazy loading, we can start to tailor a user’s experience based on the situation they find themselves in. What none of this does, however, is allow the user themselves to decide what they want downloaded, as the decision is usually the browser’s to make. 

So how can we put users in control?

The return of media inquiries

Media concerns have always been about much more than device sizes. They allow content to adapt to different situations, with screen size being just one of them.

We’ve long been able to check for media types like print and speech and features such as hover, resolution, and color. These checks allow us to provide options that suit more than one scenario, it’s less about one-size-fits-all and more about serving adaptable content.

The Level 5 spec for Media Queries is still being developed at this writing. It introduces some really exciting queries that in the future will help us design for multiple other unexpected situations.

For instance, a light-level option lets you alter a user’s style when they are in the dark or in the sun. Paired with custom properties, these features allow us to quickly create designs or themes for specific environments.

@media (light-level: normal) { --background-color: #fff; --text-color: #0b0c0c; }@media (light-level: dim) { --background-color: #efd226; --text-color: #0b0c0c;}

Another key feature of the Level 5 spec is personalization. Instead of creating designs that are the same for everyone, users can choose what works for them. This is achieved by using features like prefers-reduced-data, prefers-color-scheme, and prefers-reduced-motion, the latter two of which already enjoy broad browser support. These features tap into preferences set via the operating system or browser so people don’t have to spend time making each site they visit more usable. 

Media concerns like this go beyond choices made by a browser to grant more control to the user.

Expect the unexpected

In the end, we should always anticipate that things will change. Devices in particular change faster than we can keep up, with foldable screens already on the market.

We can design for content, but we can’t do it the same way we do for this constantly changing landscape. By putting content first and allowing that content to adapt to whatever space surrounds it, we can create more robust, flexible designs that increase the longevity of our products.

A lot of the CSS discussed here is about moving away from layouts and putting content at the heart of design. There is a lot more we can do to adopt a more intrinsic approach, from responsive components to fixed and fluid units. Even better, we can test these techniques during the design phase by designing in-browser and watching how our designs adapt in real-time.

When it comes to unexpected circumstances, we need to make sure our goods are usable when people need them, whenever and wherever that may be. We can move closer to achieving this by involving users in our design decisions, by creating choice via browsers, and by giving control to our users with user-preference-based media queries.

Good design for the unexpected should allow for change, provide choice, and give control to those we serve: our users themselves.