Оценка на читателите: / 9
Слаба статияОтлична статия 

Новини от света на уеб дизайна и СЕО

Представям Ви синдикирани новини от няколко от водещите сайтове в областта на уеб дизайна и СЕО - оптимизирането за търсачки.

A List Apart: The Full Feed
Articles for people who make web sites.
  • An Essential Tool for Capturing Your Career Accomplishments

    Imagine you’re ready to apply for your next job. Like most busy professionals, you probably haven’t updated your résumé or your portfolio since you looked for your current job. 

    Now you need to update both, and you can’t remember what work you’ve done over the past few years. (In fact, you can barely remember what you’ve done over the past few months!)

    So you scramble to update your résumé with new content. Then you spend all weekend scraping together a new portfolio using screenshots of whatever work evidence you can find on your laptop. You submit the résumé and portfolio with your application, hoping you didn’t forget to include any major career milestones you achieved over the last few years. 

    This is the process most of us use to approach our job search. We wait until we’re ready to find a job, panic at our lack of résumé and portfolio, and pull together a “good enough” version of each for the job application. (Trust me, I’ve done this many times myself.)

    This is a stressful and ineffective way to approach a job search. There’s a much better approach you can take—and you can start working on it now, even if you’re not on the job market.

    The Career Management Document

    A Career Management Document (CMD) is a comprehensive collection of your résumé and portfolio content. It’s a document you update regularly, over time, with all the work you’ve done. 

    When you’re ready to apply for your next job, you’ll have all the résumé and portfolio pieces available in your CMD. All you need to do is assemble those pieces into résumé and portfolio documents, then send the documents off with your job application.

    I update my CMD about once a week. I start by reviewing evidence of my recent work. I review Slack messages, Basecamp posts, emails, and any other current work-related content. I write my accomplishments in the format of résumé bullets, using the framework of responsibilities and accomplishments from this Manager Tools podcast. Then I add those bullets to the CMD. 

    Here are some examples from my CMD:

    • Coached a student on writing a stronger portfolio story to showcase their advanced UX skills, resulting in the student getting a job interview.
    • Facilitated an end-of-study analysis in under 90 minutes to help the team synthesize user research data from 12 participants.
    • Led a remote retrospective with teams in two offices, developed actionable takeaways, and ended on time despite a delayed start.

    My CMD has several hundred résumé bullets, and it continues to grow. I organize content by year and by project. Within each project are responsibilities and accomplishments.

    I add any content to the CMD that might go into my résumé someday. I include everything I can think of, even if it seems insignificant or trivial at the time. 

    For example, I sometimes help with social media marketing at Center Centre, the UX design school where I’m a faculty member. I include it in my CMD. I don’t plan to pursue social media marketing as a career, but it may be relevant to a future job. Who knows—I may apply to work for an organization that makes social media marketing software someday. In that case, my social media experience could be relevant.

    Include portfolio artifacts with your CMD

    In addition to capturing bullets for my résumé, I capture content for my portfolio. Each week, I gather screenshots of my work, photos of me working with the team, and any other artifacts I can find. I store them in an organized system I can reference later. 

    I also take brief notes about the work I did and store them with the artifacts. That way, if I look back at these materials a year from now, I’ll have notes about what I did during the project, reminding me of the details.

    For example, after I facilitated a user research analysis session late last year, I captured evidence of it for my portfolio. I included photos of the whiteboard where I recorded public notes during the session. I also captured brief notes about who attended the session, the date, and when it took place during the project. 

    You can use whatever tools you’d like to gather evidence of your work. I use Google Docs for the résumé portion of my CMD. I use Dropbox to store my portfolio artifacts. I create Dropbox folders with dates and project names that correspond to the contents of my CMD.


    Résumé content from my CMD. I wrote about coaching a student on crafting a presentation for her job interview. The highlighted areas are where I left comments reminding me of the details of the work. Note that some of the résumé bullets seem redundant, which is OK. When I create my next résumé, I’ll choose the most appropriate bullets.

    I took notes on a whiteboard while coaching the student. I stored a photo of the whiteboard in Dropbox in a folder named with the date of the work and a description of what I did.

    The key is to collect the evidence regularly and store it in an accessible, organized way that works for you. To know if you’re storing work evidence effectively, ask yourself, “Will I understand this CMD content a year from now based on how I’m capturing and storing it today?” If the answer is “yes,” you’re in good shape.

    Update your CMD regularly

    For the CMD to work when you need it, it needs to be comprehensive and up-to-date. As I mentioned before, I update my CMD once a week. I schedule thirty minutes on my calendar each week so I remember to do it. 

    Sometimes I have a busy week, and I can’t spend thirty minutes on my CMD. So I spend whatever amount of time I have. Some weeks, I only spend ten minutes. Ten minutes per week is better than zero minutes per week. 

    Occasionally, I don’t get a chance to update it because my week is so hectic. That’s OK because I’ll probably get to it the following week. 

    I recommend updating your CMD once a week and not once a month or once a quarter. If you wait even a month, you’ll have trouble remembering what you did three and a half weeks ago. Even worse, if you schedule a CMD update once a month and then miss it, you won’t get to it until the next month. That means you have to think back and remember two months of work, which is hard to do. 

    Updating your CMD every week, while the work is fresh in your mind, gets the best results.

    The CMD benefits you in additional ways

    The CMD can help you prepare for your job search beyond your résumé and your portfolio. 

    You can use it to prepare for a job interview. Since you’re capturing work evidence from each stage of the process in your CMD, you can use that evidence to remember what you did throughout a project. Then, you can craft a story about your role on that project. 

    Hiring managers love to hear stories about your work during job interviews. For instance, if you’re a designer, they want to know the journey you took during your design process, from the start of a project to the end. A detailed CMD will help you remember this process so you can share it in an interview. 

    I’ve even used my CMD to write blog posts. I’ve been blogging regularly for the past two years, and I often refer to my CMD to remember work experience I had that’s relevant to what I’m writing. When I wrote the article “How to Tell Compelling Stories During a UX Job Interview,” I used my CMD to remember interview preparation exercises I did with students. 

    The CMD can also help you track work accomplishments for your quarterly or annual performance reviews. Additionally, you can use it to write job ads when hiring for related roles on your team.

    Lastly, I find it rewarding to peruse my CMD now and then, especially when I look back at work I did over a year ago. The CMD serves as a record of all my professional accomplishments. This record helps me appreciate my professional growth because I see how far my skills have come over time.

    Learn more about the CMD from Manager Tools

    At Center Centre, we originally learned about the Career Management Document through the Manager Tools podcast series.

    Manager Tools’ podcasts explain how to use a CMD for your résumé. We expanded their approach to include portfolio work as well. I recommend listening to their podcasts about creating and maintaining your CMD:

    Prepare for your next job search now

    We tell our students at Center Centre that preparing for your next job search is a process that starts early. It’s like saving for retirement—the sooner you start saving money, the more likely you are to be prepared when the time comes. 

    Similarly, collecting résumé and portfolio content ahead of time will prepare you to find your next job whenever you’re ready to do so. It also prepares you for a sudden job termination like an unexpected layoff. If you lose your job without warning, you’ll likely be under a lot of stress to find a new position. Having a CMD ready will relieve the additional stress of building a résumé and portfolio from scratch. 

    If you don’t have a CMD yet, now is a great time to start one. Schedule 30 minutes this week to begin crafting your repository of work accomplishments. You’ll be glad you did when you seek your next job.

  • Getting to the Heart of Digital Accessibility

    Quick! Think of the word “developer” or “coder” — what’s the first thing that comes to mind? Maybe a whiteish male in his twenties living in a busy metropolis, wearing a nerdy t-shirt and hoodie? Someone a bit like Mark Zuckerberg? Or maybe a younger Bill Gates or Sergey Brin? Any of the dudes from the HBO series Silicon Valley, perhaps? Certainly no one like me.

    By tech standards, I’m old. I’m also female and a mother. I live in a midwestern town you’ve never heard of and will never visit — a town where the cows vastly outnumber the people. My hair color is (almost) natural and is no longer part of the ROYGBIV collection, so I have no perceived conference street cred. I own about a thousand geeky T-shirts, but never actually wear them in public, opting for more “girly” attire (or so was pointed out by a male colleague). On the surface, I look more suited to taking notes at a PTA meeting than writing code. I’m a bit of an outsider. A tech misfit.

    So when my 11-year-old daughter finished her recent coding camp and excitedly declared, “Now I’m a real developer, Mom, just like you!” there was the usual parent pride, but also a small piece of me that cringed. Because, as much as I support the STEM fields, and want the next generation of girls to be coding wizard-unicorn-ninjas, I really don’t want my own daughter to be a developer. The rationale behind this bold (and maybe controversial) statement comes from a place of protection. The tech world we live in today is far from perfect. I’ve endured my share of misogyny, self-doubt, and sexual harassment. Why wouldn’t I want to protect her from all of that?

    The (diversity) elephant in the (computer) room

    You’ve heard this story before: there is not enough diversity in tech. This puzzling trend seems to continue year after year, even though numerous studies show that by including more people from underrepresented communities, a company can increase its innovation, employee retention, and bottom line. Even with the recent push and supposed support for diversity and inclusivity from many Fortune 500 companies, women and female-identifying people still only hold 20% of all top tech jobs.

    The data from FY 2018 shows that the number of women in technical roles at three of the top tech giants was 24% for Adobe, 26% for Google, and 22% for Facebook. While these numbers show that there is still not enough representation for women, these numbers do reflect a slight increase from the previous year (FY 2017: Adobe 22%, Google 25%, Facebook 15%). But even with this upward trend of hiring women in tech roles, the marginal growth rate has not caught up with the real world. The tech workforce is seriously out of touch with reality if, in 2019, a demographic (women) that represents more than half the global population is still considered a minority.

    Sometimes this lack of diversity at the top level is blamed on a “pipeline” issue. The logic being: “If there are not enough girls who learn to code, then there will not be enough women who can code.” However, programs aimed at teaching girls how to code have skyrocketed in the past few years. Girls now make up about half of the enrollment in high-school coding classes and are scoring almost identically to their male classmates on standardized math and science tests, yet, young women make up only 18% of all Computer Science degrees. I have to wonder if this steep drop in interest has more to do with lack of representation in the tech sphere, than with girls and young women simply not being “smart enough” or “not interested” in working with code? At the very least, the lack of representation certainly doesn’t help.

    Of course, the diversity picture becomes even more abysmal when you consider other underrepresented groups such as people of color, people from the LGBTQ community, and people with disabilities. And while I really don’t like glossing over these deeper diversity issues in tech, because they are abundant and are much more grotesque failings than the male/female ratio, I also don’t feel qualified to speak about these issues. I encourage you to look to and value the voices of others who can speak with higher authority on these deeper diversity issues, such as Ire Aderinokun, Taelur Alexis, Imani Barbarin, Angie Jones, Fatima Khalid, Tatiana Mac, Charlie Owen, Cherry Rae, and so many others. And for those readers who are new to the topic of diversity in tech, watch Tatiana Mac’s recent conference talk How Privilege Defines Performance — it’s well worth the 35 minutes of your life.

    The four stages in the digital accessibility journey

    However you look at it, the numbers don’t lie. There are some pretty significant diversity issues in tech. So how do we fix this issue before the next wave of young developers join the tech workforce? Simple: teach developers to write accessible code.

    This may seem like a joke to some and stretch to others, but hear me out. When we talk about accessible code, what we are really talking about at its core is inclusiveness. The actual process of writing accessible code involves rules and standards, tests and tools; but inclusive development is more abstract than that. It’s a shift in thinking. And when we rethink our approach to development, we go beyond just the base level of simple code functionality. We instead think, how is this code consumed? How can we make it even more intelligible and easier for people to use? Inclusive development means making something valuable, not just accessible, to as many people as we can.

    That line of thinking is a bit abstract, so let’s go through an example. Let’s say you are tasked with updating the color contrast between the text on a webpage or app and the background. What happens at each stage in the accessibility journey?

    Stage 1: Awareness — You are brand new to digital accessibility and are still trying to understand what it is and how you can implement changes in your daily workflow. You may be aware that there is a set of digital accessibility guidelines that other developers follow, but you are a bit hazy on what it all means in a practical sense.

    Stage 2: Knowledge — You know a bit more about digital accessibility and feel comfortable using a few testing tools, so you run an automated accessibility test on your website and it flags a possible issue with the color contrast. Based on your awareness of the guidelines, you know the color contrast ratio between the text and the background needs to be a certain number and that you need a tool to test this.

    Stage 3: Practice — Feeling more confident in your knowledge of digital accessibility rules and best practices, you use a tool to measure the color contrast ratio between the text and the background. Then based on the output of the tool, you modify the hex code to meet the color contrast ratio guidelines and retest to confirm you have met the accessibility requirements for this issue.

    Stage 4: Understanding — You understand that the accessibility guidelines and tools are created with people in mind, and that code is secondary to all of that. One is the means, and the other is the end. In the color contrast example, you understand that people with low-vision or colorblindness need these color contrast changes in order to actually see the words on your web page.

    This is a bit of an oversimplification of the process. But I hope you get the gist — that there are different stages of digital accessibility knowledge and understanding. True beginners may not be to even stage one, but I am finding that group rarer and rarer these days. The word about digital accessibility seems to be out! Which is great; but that’s only the first hurdle. What I’m seeing now is that a lot of people stop at Stage 2: Knowledge or Stage 3: Practice — where you are aware of the digital accessibility guidelines, have some testing tools in your back pocket, and know how to fix some of the issues reported, but haven’t quite connected the dots to the humans they impact.

    From the standpoint of getting daily stuff done, stages two and three are okay stopping points. But what happens when the things you need to do are too complex for a quick fix, or you have no buy-in from your peers or management? I feel that once we get to Stage 4: Understanding, and really get why these kinds of changes are needed, people will be more motivated to make those changes regardless of the challenges involved. When you arrive at stage four, you have gone beyond knowing the basic rules, testing, and coding. You recognize that digital accessibility is not just a “nice to have” but a “must have” and it becomes about quality of life for real people. This is digital inclusion. This is something you can’t unsee, you can’t unlearn, and you can’t ignore.

    Making digital accessibility a priority — not a requirement

    In my role as an accessibility trainer, I like to kick-off each session with the question: “What are you hoping to learn today about digital accessibility?” I ask this question to establish a rapport with the audience and to understand where everyone is in their accessibility journey, but I am also evaluating the level of company and individual buy-in too. There is nothing worse than showing up to teach a group that does not care to be taught. If I hear the words “I am only here because I have to be” — I know it will be an uphill battle to get them anywhere close to Stage 4: Understanding, so I mentally regroup and aim for another stage.

    In my experience, when companies and their leaders say “Digital accessibility is a requirement,” nine times out of ten there is a motivating factor behind this sweeping declaration (for example, impending litigation, or at least the fear of it). When changes are framed as mandatory and packaged as directives from on high with little additional context, people can be resistant and will find excuses to fight or challenge the declaration, and any change can become an uphill battle. Calling something “mandatory” only speaks to Stage 1: Awareness.

    By swapping out one word from the original declaration and saying “Digital accessibility is a priority,” companies and their leaders have reframed the conversation with their employees. When changes are framed as “working towards a solution” and discussed openly and collaboratively, people feel like they are part of the process and are more open to embracing change. In the long run, embracing change becomes part of a company’s culture and leads to innovation (and, yes, inclusion) on all levels. Calling something a priority speaks to Stage 4: Understanding.

    Some of the excuses I often hear from clients for not prioritizing accessibility is that it is too difficult, too costly, and/or too time consuming — but is that really the case? In the same accessibility training, I lead an exercise where we look at a website with an accessibility testing tool and review any issues that came up. With the group’s help we plot out the “impact to user” versus the “remediation effort” on the part of the team. From group to group, while the plots are slightly different, one commonality is that close to 80% of the errors plotted fall into the quadrant of “simple to fix” for the team, but they also fall under “high impact” to the user. Based on this empirical data, I won’t buy the argument from clients who say that accessibility is too difficult and costly and time consuming anymore. It comes down to whether it’s a priority — for each individual and for the company as a whole.

    What will your coding legacy be?

    The infinite monkey theorem states that a monkey hitting keys at random on a typewriter for an infinite amount of time will eventually type any given text, such as the complete works of William Shakespeare. So by that same logic, a programmer hitting keys at random on a computer for an infinite amount of time will almost surely produce a website that is accessible. But where is the thought process? Where is the human element? While all the things we’ve already talked about — awareness, education, and prioritization of accessibility are important steps in making the digital world more inclusive to all — without intent, we are just going to keep randomly tapping away at our computers, repeating the same mistakes over and over again. The intent behind the code has to be part of the process, otherwise accessibility is just another task that has no meaning.

    Maybe I’m naive, but I’d like to think we’ve come to a point in our society where we want our work lives to have meaning. And that we don’t want to just hear about the positive change that is happening, but want to be part of the change. Digital accessibility is a place where this can happen! Not only does understanding and writing purpose-driven code help people with disabilities in the short-run, I believe strongly that is key to solving the overarching diversity issue in tech in the long-run. Developers who reach Stage 4: Understanding, and who prioritize accessible code because they understand it’s fundamentally about people, will also be the ones who help create and cultivate an inclusive environment where people from more diverse backgrounds are also prioritized and accepted in the tech world.

    Because when you strip away all the styles, all the mark-up, all the cool features from a website or app — what’s left? People. And honestly, the more I learn about digital accessibility, the more I realize it’s not about the code at all. Digital accessibility is rooted in the user; and, while I (and countless others) can certainly teach you how to write accessible code, and build you tools, patterns, and libraries to use, I realize we can’t teach you to care. That is a choice you have to make yourself. So think for a moment — what are you leaving the next generation of developers with all that inaccessible code you haven’t given much thought to? Is it the coding legacy you really want to leave? I challenge you to do better for my daughter, her peers, and for the countless others who are not fully represented in the tech community today.

  • Responsible JavaScript: Part II

    You and the rest of the dev team lobbied enthusiastically for a total re-architecture of the company’s aging website. Your pleas were heard by management—even up to the C-suite—who gave the green light. Elated, you and the team started working with the design, copy, and IA teams. Before long, you were banging out new code.

    It started out innocently enough with an npm install here and an npm install there. Before you knew it, though, you were installing production dependencies like an undergrad doing keg stands without a care for the morning after.

    Then you launched.

    Unlike the aftermath of most copious boozings, the agony didn’t start the morning after. Oh, no. It came months later in the ghastly form of low-grade nausea and headache of product owners and middle management wondering why conversions and revenue were both down since the launch. It then hit a fever pitch when the CTO came back from a weekend at the cabin and wondered why the site loaded so slowly on their phone—if it indeed ever loaded at all.

    Everyone was happy. Now no one is happy. Welcome to your first JavaScript hangover.

    It’s not your fault

    When you’re grappling with a vicious hangover, “I told you so” would be a well-deserved, if fight-provoking, rebuke—assuming you could even fight in so sorry a state.

    When it comes to JavaScript hangovers, there’s plenty of blame to dole out. Pointing fingers is a waste of time, though. The landscape of the web today demands that we iterate faster than our competitors. This kind of pressure means we’re likely to take advantage of any means available to be as productive as possible. That means we’re more likely—but not necessarily doomed—to build apps with more overhead, and possibly use patterns that can hurt performance and accessibility.

    Web development isn't easy. It’s a long slog we rarely get right on the first try. The best part of working on the web, however, is that we don’t have to get it perfect at the start. We can make improvements after the fact, and that’s just what the second installment of this series is here for. Perfection is a long ways off. For now, let’s take the edge off of that JavaScript hangover by improving your site’s, er, scriptuation in the short term.

    Round up the usual suspects

    It might seem rote, but it’s worth going through the list of basic optimizations. It’s not uncommon for large development teams—particularly those that work across many repositories or don’t use optimized boilerplate—to overlook them.

    Shake those trees

    First, make sure your toolchain is configured to perform tree shaking. If tree shaking is new to you, I wrote a guide on it last year you can consult. The short of it is that tree shaking is a process in which unused exports in your codebase don’t get packaged up in your production bundles.

    Tree shaking is available out of the box with modern bundlers such as webpack, Rollup, or Parcel. Grunt or gulp—which are not bundlers, but rather task runners—won’t do this for you. A task runner doesn’t build a dependency graph like a bundler does. Rather, they perform discrete tasks on the files you feed to them with any number of plugins. Task runners can be extended with plugins to use bundlers to process JavaScript. If extending task runners in this way is problematic for you, you’ll likely need to manually audit and remove unused code.

    For tree shaking to be effective, the following must be true:

    1. Your app logic and the packages you install in your project must be authored as ES6 modules. Tree shaking CommonJS modules isn’t practically possible.
    2. Your bundler must not transform ES6 modules into another module format at build time. If this happens in a toolchain that uses Babel, @babel/preset-env configuration must specify modules: false to prevent ES6 code from being converted to CommonJS.

    On the off chance tree shaking isn’t occurring during your build, getting it to work may help. Of course, its effectiveness varies on a case-by-case basis. It also depends on whether the modules you import introduce side effects, which may influence a bundler’s ability to shake unused exports.

    Split that code

    Chances are good that you’re employing some form of code splitting, but it’s worth re-evaluating how you’re doing it. No matter how you’re splitting code, there are two questions that are always worth asking yourself:

    1. Are you deduplicating common code between entry points?
    2. Are you lazy loading all the functionality you reasonably can with dynamic import()?

    These are important because reducing redundant code is essential to performance. Lazy loading functionality also improves performance by lowering the initial JavaScript footprint on a given page. On the redundancy front, using an analysis tool such as Bundle Buddy can help you find out if you have a problem.

    The Bundle Buddy utility demonstrating how much code is shared between bundles of JavaScript.
    Bundle Buddy can examine your webpack compilation statistics and determine how much code is shared between your bundles.

    Where lazy loading is concerned, it can be a bit difficult to know where to start looking for opportunities. When I look for opportunities in existing projects, I’ll search for user interaction points throughout the codebase, such as click and keyboard events, and similar candidates. Any code that requires a user interaction to run is a potentially good candidate for dynamic import().

    Of course, loading scripts on demand brings the possibility that interactivity could be noticeably delayed, as the script necessary for the interaction must be downloaded first. If data usage is not a concern, consider using the rel=prefetch resource hint to load such scripts at a low priority that won’t contend for bandwidth against critical resources. Support for rel=prefetch is good, but nothing will break if it’s unsupported, as such browsers will ignore markup they doesn’t understand.

    Externalize third-party hosted code

    Ideally, you should self-host as many of your site’s dependencies as possible. If for some reason you must load dependencies from a third party, mark them as externals in your bundler’s configuration. Failing to do so could mean your website’s visitors will download both locally hosted code and the same code from a third party.

    Let’s look at a hypothetical situation where this could hurt you: say that your site loads Lodash from a public CDN. You've also installed Lodash in your project for local development. However, if you fail to mark Lodash as external, your production code will end up loading a third party copy of it in addition to the bundled, locally hosted copy.

    This may seem like common knowledge if you know your way around bundlers, but I’ve seen it get overlooked. It’s worth your time to check twice.

    If you aren’t convinced to self-host your third-party dependencies, then consider adding dns-prefetch, preconnect, or possibly even preload hints for them. Doing so can lower your site’s Time to Interactive and—if JavaScript is critical to rendering content—your site’s Speed Index.

    Smaller alternatives for less overhead

    Userland JavaScript is like an obscenely massive candy store, and we as developers are awed by the sheer amount of open source offerings. Frameworks and libraries allow us to extend our applications to quickly do all sorts of stuff that would otherwise take loads of time and effort.

    While I personally prefer to aggressively minimize the use of client-side frameworks and libraries in my projects, their value is compelling. Yet, we do have a responsibility to be a bit hawkish when it comes to what we install. When we’ve already built and shipped something that depends on a slew of installed code to run, we’ve accepted a baseline cost that only the maintainers of that code can practically address. Right?

    Maybe, but then again, maybe not. It depends on the dependencies used. For instance, React is extremely popular, but Preact is an ultra-small alternative that largely shares the same API and retains compatibility with many React add-ons. Luxon and date-fns are much more compact alternatives to moment.js, which is not exactly tiny.

    Libraries such as Lodash offer many useful methods. Yet, some of them are easily replaceable with native ES6. Lodash’s compact method, for example, is replaceable with the filter array method. Many more can be replaced without much effort, and without the need for pulling in a large utility library.

    Whatever your preferred tools are, the idea is the same: do some research to see if there are smaller alternatives, or if native language features can do the trick. You may be surprised at how little effort it may take you to seriously reduce your app’s overhead.

    Differentially serve your scripts

    There’s a good chance you’re using Babel in your toolchain to transform your ES6 source into code that can run on older browsers. Does this mean we’re doomed to serve giant bundles even to browsers that don’t need them, until the older browsers disappear altogether? Of course not! Differential serving helps us get around this by generating two different builds of your ES6 source:

    • Bundle one, which contains all the transforms and polyfills required for your site to work on older browsers. You’re probably already serving this bundle right now.
    • Bundle two, which contains little to none of the transforms and polyfills because it targets modern browsers. This is the bundle you’re probably not serving—at least not yet.

    Achieving this is a bit involved. I’ve written a guide on one way you can do it, so there’s no need for a deep dive here. The long and short of it is that you can modify your build configuration to generate an additional but smaller version of your site’s JavaScript code, and serve it only to modern browsers. The best part is that these are savings you can achieve without sacrificing any features or functionality you already offer. Depending on your application code, the savings could be quite significant.

    A webpack-bundle-analyzer analysis of a project's legacy bundle (left) versus one for a modern bundle (right). View full-sized image.

    The simplest pattern for serving these bundles to their respective platforms is brief. It also works a treat in modern browsers:

    <!-- Modern browsers load this file: -->
    <script type="module" src="/js/app.mjs"></script>
    <!-- Legacy browsers load this file: -->
    <script defer nomodule src="/js/app.js"></script>

    Unfortunately, there’s a caveat with this pattern: legacy browsers like IE 11—and even relatively modern ones such as Edge versions 15 through 18—will download both bundles. If this is an acceptable trade-off for you, then worry no further.

    On the other hand, you'll need a workaround if you’re concerned about the performance implications of older browsers downloading both sets of bundles. Here’s one potential solution that uses script injection (instead of the script tags above) to avoid double downloads on affected browsers:

    var scriptEl = document.createElement("script");
    
    if ("noModule" in scriptEl) {
      // Set up modern script
      scriptEl.src = "/js/app.mjs";
      scriptEl.type = "module";
    } else {
      // Set up legacy script
      scriptEl.src = "/js/app.js";
      scriptEl.defer = true; // type="module" defers by default, so set it here.
    }
    
    // Inject!
    document.body.appendChild(scriptEl);

    This script infers that if a browser supports the nomodule attribute in the script element, it understands type="module". This ensures that legacy browsers only get legacy scripts and modern browsers only get modern ones. Be warned, though, that dynamically injected scripts load asynchronously by default, so set the async attribute to false if dependency order is crucial.

    Transpile less

    I’m not here to trash Babel. It’s indispensable, but lordy, it adds a lot of extra stuff without your ever knowing. It pays to peek under the hood to see what it’s up to. Some minor changes in your coding habits can have a positive impact on what Babel spits out.

    https://twitter.com/_developit/status/1110229993999777793

    To wit: default parameters are a very handy ES6 feature you probably already use:

    function logger(message, level = "log") {
      console[level](message);
    }

    The thing to pay attention to here is the level parameter, which has a default of “log.” This means if we want to invoke console.log with this wrapper function, we don’t need to specify level. Great, right? Except when Babel transforms this function, the output looks like this:

    function logger(message) {
      var level = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : "log";
    
      console[level](message);
    }

    This is an example of how, despite our best intentions, developer conveniences can backfire. What was a handful of bytes in our source has now been transformed into much larger in our production code. Uglification can’t do much about it either, as arguments can’t be reduced. Oh, and if you think rest parameters might be a worthy antidote, Babel’s transforms for them are even bulkier:

    // Source
    function logger(...args) {
      const [level, message] = args;
    
      console[level](message);
    }
    
    // Babel output
    function logger() {
      for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {
        args[_key] = arguments[_key];
      }
    
      const level = args[0],
            message = args[1];
      console[level](message);
    }

    Worse yet, Babel transforms this code even for projects with a @babel/preset-env configuration targeting modern browsers, meaning the modern bundles in your differentially served JavaScript will be affected too! You could use loose transforms to soften the blow—and that’s a fine idea, as they’re often quite a bit smaller than their more spec-compliant counterparts—but enabling loose transforms can cause issues if you remove Babel from your build pipeline later on.

    Regardless of whether you decide to enable loose transforms, here’s one way to cut the cruft of transpiled default parameters:

    // Babel won't touch this
    function logger(message, level) {
      console[level || "log"](message);
    }

    Of course, default parameters aren’t the only feature to be wary of. For example, spread syntax gets transformed, as do arrow functions and a whole host of other stuff.

    If you don’t want to avoid these features altogether, you have a couple ways of reducing their impact:

    1. If you’re authoring a library, consider using @babel/runtime in concert with @babel/plugin-transform-runtime to deduplicate the helper functions Babel puts into your code.
    2. For polyfilled features in apps, you can include them selectively with @babel/polyfill via @babel/preset-env’s useBuiltIns: "usage" option.

    This is solely my opinion, but I believe the best choice is to avoid transpilation altogether in bundles generated for modern browsers. That’s not always possible, especially if you use JSX, which must be transformed for all browsers, or if you’re using bleeding edge language features that aren’t widely supported. In the latter case, it might be worth asking if those features are really necessary to deliver a good user experience (they rarely are). If you arrive at the conclusion that Babel must be a part of your toolchain, then it’s worth peeking under the hood from time to time to catch suboptimal stuff Babel might be doing that you can improve on.

    Improvement is not a race

    As you massage your temples wondering when this horrid JavaScript hangover is going to lift, understand that it’s precisely when we rush to get something out there as fast as we possibly can that the user experience can suffer. As the web development community obsesses on iterating faster in the name of competition, it’s worth your time to slow down a little bit. You’ll find that by doing so, you may not be iterating as fast as your competitors, but your product will be faster than theirs.

    As you take these suggestions and apply them to your codebase, know that progress doesn’t spontaneously happen overnight. Web development is a job. The truly impactful work is done when we’re thoughtful and dedicated to the craft for the long haul. Focus on steady improvements. Measure, test, repeat, and your site’s user experience will improve, and you’ll get faster bit by bit over time.

    Special thanks to Jason Miller for tech editing this piece. Jason is the creator and one of the many maintainers of Preact, a vastly smaller alternative to React with the same API. If you use Preact, please consider supporting Preact through Open Collective.

  • Resilient Management, An Excerpt

    In Tuckman’s Stages of Group Development, the Storming stage happens as a group begins to figure out how to work together. Previously, each person had been doing their own thing as individuals, so necessarily a few things need to be ironed out: how to collaborate, how to hit goals, how to determine priorities. Of course there may be some friction here!

    But even if your team doesn’t noticeably demonstrate this kind of internal Storming as they begin to gel, there might be some outside factors at play in your work environment that create friction. During times of team scaling and organizational change—the water we in the web industry are often swimming in—managers are responsible for things like strategy-setting, aligning their team’s work to company objectives, and unblocking the team as they ship their work.

    In addition to these business-context responsibilities, managers need to be able to help their teammates navigate this storm by helping them grow in their roles and support the team’s overall progress. If you and your teammates don’t adapt and evolve in your roles, it’s unlikely that your team will move out of the Storming stage and into the Norming stage of team dynamics.

    To spur this course-correction and growth in your teammates, you’ll end up wearing four different hats:

    • Mentoring: lending advice and helping to problem solve based on your own experience.
    • Coaching: asking open questions to help your teammate reflect and introspect, rather than sharing your own opinions or quickly problem solving.
    • Sponsoring: finding opportunities for your teammate to level up, take on new leadership roles, and get promoted.
    • Delivering feedback: observing behavior that is or isn’t aligned to what the team needs to be doing and sharing those observations, along with praise or suggestions.

    Let’s dive in to how to choose, and when to use, each of these skills as you grow your teammates, and then talk about what it looks like when teammates support the overarching direction of the team.

    Mentoring

    When I talk to managers, I find that the vast majority have their mentor hats on ninety percent of the time when they’re working with their teammates. It’s natural!

    In mentoring mode, we’re doling out advice, sharing our perspective, and helping someone else problem solve based on that information. Our personal experiences are often what we can talk most confidently about! For this reason, mentorship mode can feel really good and effective for the mentor. Having that mentor hat on can help the other person overcome a roadblock or know which next steps to take, while avoiding drastic errors that they wouldn’t have seen coming otherwise.

    As a mentor, it’s your responsibility to give advice that’s current and sensitive to the changing dialog happening in our industry. Advice that might work for one person (“Be louder in meetings!” or “Ask your boss for a raise!”) may undermine someone else, because members of underrepresented groups are unconsciously assessed and treated differently. For example, research has shown that “when women are collaborative and communal, they are not perceived as competent—but when they emphasize their competence, they’re seen as cold and unlikable, in a classic ‘double bind’”.

    If you are not a member of a marginalized group, and you have a mentee who is, please be a responsible mentor! Try to be aware of the way members of underrepresented groups are perceived, and the unconscious bias that might be at play in your mentee’s work environment. When you have your mentor hat on, do lots of gut checking to make sure that your advice is going to be helpful in practice for your mentee.

    Mentoring is ideal when the mentee is new to their role or to the organization; they need to learn the ropes from someone who has firsthand experience. It’s also ideal when your teammate is working on a problem and has tried out a few different approaches, but still feels stumped; this is why practices like pair coding can help folks learn new things.

    As mentors, we want our mentees to reach beyond us, because our mentees’ success is ultimately our success. Mentorship relationships evolve over time, because each party is growing. Imaginative, innovative ideas often come from people who have never seen a particular challenge before, so if your mentee comes up with a creative solution on their own that you wouldn’t have thought of, be excited for them—don’t just focus on the ways that you’ve done it or seen it done before.

    Managers often default to mentoring mode because it feels like the fastest way to solve a problem, but it falls short in helping your teammate connect their own dots. For that, we’ll look to coaching.

    Coaching

    In mentoring mode, you’re focused on both the problem and the solution. You’ll share what you as the mentor would do or have done in this situation. This means you’re more focused on yourself, and less on the person who is sitting in front of you.

    In coaching mode—an extremely powerful but often underutilized mode—you’re doing two primary things:

    1. Asking open questions to help the other person explore more of the shape of the topic, rather than staying at the surface level.
    2. Reflecting, which is like holding up a mirror for the other person and describing what you see or hear, or asking them to reflect for themselves.

    These two tools will help you become your teammate’s fiercest champion.

    Open Questions

    “Closed” questions can only be answered with yes or no. Open questions often start with who, what, when, where, why, and how. But the best open questions are about the problem, not the solution. Questions that start with why tend to make the other person feel judged, and questions that start with how tend to go into problem solving mode—both of which we want to avoid while in coaching mode.

    However, what questions can be authentically curious! When someone comes to you with a challenge, try asking questions like:

    • What’s most important to you about it?
    • What’s holding you back?
    • What does success look like?

    Let’s say my teammate comes to me and says they’re ready for a promotion. Open questions could help this teammate explore what this promotion means and demonstrate to me what introspection they’ve already done around it. Rather than telling them what I think is necessary for them to be promoted, I could instead open up this conversation by asking them:

    • What would you be able to do in the new level that you can’t do in your current one?
    • What skills are required in the new level? What are some ways that you’ve honed those skills?
    • Who are the people already at that level that you want to emulate? What about them do you want to emulate?

    Their answers would give me a place to start coaching. These questions might push my teammate to think more deeply about what this promotion means, rather than allowing them to stay surface level and believe that a promotion is about checking off a lot of boxes on a list. Their answers might also open my eyes to things that I hadn’t seen before, like a piece of work that my teammate had accomplished that made a huge impact. But most important, going into coaching mode would start a two-way conversation with this teammate, which would help make an otherwise tricky conversation feel more like a shared exploration.

    Open questions, asked from a place of genuine curiosity, help people feel seen and heard. However, if the way you ask your questions comes across as judgy or like you’ve already made some assumptions, then your questions aren’t truly open (and your teammate can smell this on you!). Practice your intonation to make sure your open questions are actually curious and open.

    By the way, forming lots of open questions (instead of problem solving questions, or giving advice) is tremendously hard for most people. Don’t worry if you don’t get the hang of it at first; it takes a lot of practice and intention over time to default to coaching mode rather than mentoring mode. I promise, it’s worth it.

    Reflections

    Just like open questions, reflections help the other person feel seen and heard, and to explore the topic more deeply.

    It’s almost comical how rarely we get the sense that the person we’re talking to is actively listening to us, or focusing entirely on helping us connect our own dots. Help your teammates reflect by repeating back to them what you hear them say, as in:

    • “What I’m hearing you say is that you’re frustrated with how this project is going. Is that right?”
    • “What I know to be true about you is how deeply you care about your teammates’ feelings.”

    In each of these examples, you are holding up a metaphorical mirror to your teammate, and helping them look into it. You can coach them to reflect, too:

    • “How does this new architecture project map to your goals?”
    • “Let’s reflect on where you were this time last year and how far you’ve come.”

    Occasionally, you might get a reflection wrong; this gives the other person an opportunity to realize something new about their topic, like the words they’re choosing aren’t quite right, or there’s another underlying issue that should be explored. So don’t be worried about giving a bad reflection; reflecting back what you’re hearing will still help your teammate.

    The act of reflecting can help the other person do a gut check to make sure they’re approaching their topic holistically. Sometimes the act of reflection forces (encourages?) the other person to do some really hard work: introspection. Introspection creates an opportunity for them to realize new aspects of the problem, options they can choose from, or deeper meanings that hadn’t occurred to them before—which often ends up being a nice shortcut to the right solution. Or, even better, the right problem statement.

    When you have your coaching hat on, you don’t need to have all the answers, or even fully understand the problem that your teammate is wrestling with; you’re just there as a mirror and as a question-asker, to help prompt the other person to think deeply and come to some new, interesting conclusions. Frankly, it may not feel all that effective when you’re in coaching mode, but I promise, coaching can generate way more growth for that other person than just giving them advice or sharing your perspective.

    Choose coaching when you’re looking to help someone (especially an emerging leader) hone their strategic thinking skills, grow their leadership aptitude, and craft their own path forward. Coaching mode is all about helping your teammate develop their own brain wrinkles, rather than telling them how you would do something. The introspection and creativity it inspires create deeper and longer-lasting growth.

    Sponsoring

    While you wear the mentoring and coaching hats around your teammates, the sponsor hat is more often worn when they’re not around, like when you’re in a 1:1 with your manager, a sprint planning meeting, or another environment where someone’s work might be recognized. You might hear about an upcoming project to acquire a new audience and recommend that a budding user researcher take it on, or you’ll suggest to an All Hands meeting organizer that a junior designer should give a talk about a new pattern they’ve introduced to the style guide.

    Sponsorship is all about feeling on the hook for getting someone to the next level. As someone’s sponsor, you’ll put their name in the ring for opportunities that will get them the experience and visibility necessary to grow in their role and at the organization. You will put your personal reputation on the line on behalf of the person you’re sponsoring, to help get them visible and developmental assignments. It’s a powerful tool, and the one most effective at helping someone get to the next level (way more so than mentoring or coaching!).

    The Center for Talent Innovation routinely measures the career benefits of sponsorship (PDF). Their studies have found that when someone has a sponsor, they are way more likely to have access to career-launching work. They’re also more likely to take actions that lead to even more growth and opportunities, like asking their manager for a stretch assignment or a raise.

    When you’re in sponsorship mode, think about the different opportunities you have to offer up someone’s name. This might look like:

    • giving visible/public recognition (company “shout outs,” having them present a project demo, thanking them in a launch email, giving someone’s manager feedback about their good work);
    • assigning stretch tasks and projects that are just beyond their current skill set, to help them grow and have supporting evidence for a future promotion; or
    • opening the door for them to write blog posts, give company or conference talks, or contribute open-source work.

    Remember that members of underrepresented groups are typically over-mentored, but under-sponsored. These individuals get lots of advice (often unsolicited), coffee outings, and offers to teach them new skills. But it’s much rarer for them to see support that looks like sponsorship.

    This isn’t because sponsors intentionally ignore marginalized folks, but because of in-group bias. Because of how our brains (and social networks) work, the people we’re closest to tend to look mostly like us—and we draw from that same pool when we nominate people for projects, for promotions, and for hires. Until I started learning about bias in the workplace, most of the people I sponsored were white, cisgender women, like myself. Since then, I’ve actively worked to sponsor people of color and nonbinary people. It takes effort and intention to combat our default behaviors—but I know you can do it!

    Take a look at the daily communications you participate in: your work chat logs, the conversations you have with others, the process for figuring out who should fix a bug or work on a new project, and the processes for making your teams’ work visible (like an architecture review, code review, launch calendar, etc.). You’ll be surprised how many moments there are to sponsor someone throughout an average day. Please put in the time and intention to ensure that you’re sponsoring members of underrepresented groups, too.

  • Daily Ethical Design
    Suddenly, I realized that the people next to me might be severely impacted by my work. I was having a quick lunch in the airport. A group of flight attendants sat down at the table next to me and started to prepare for their flight. For a while now, our design team had been working on futuristic concepts for the operations control center of these flight attendants’ airline, pushing ourselves to come up with innovative solutions enabled by the newest technologies. As the control center deals with all activities around flying planes, our concepts touched upon everything and everyone within the airline. How was I to know what the impact of my work would be on the lives of these flight attendants? And what about the lives of all the other people working at the airline? Ideally, we would have talked to all the types of employees in the company and tested our concepts with them. But, of course, there was no budget (or time) allocated to do so, not to mention we faced the hurdle of convincing (internal) stakeholders of the need. Not for the first time, I felt frustrated: practical, real-world constraints prevented me from assessing the impact and quality of my work. They prevented me from properly conducting ethical design.

    What is ethical design?

    Right, good question. A very comprehensive definition of ethical design can be found at Encyclopedia.com:
    Design ethics concerns moral behavior and responsible choices in the practice of design. It guides how designers work with clients, colleagues, and the end users of products, how they conduct the design process, how they determine the features of products, and how they assess the ethical significance or moral worth of the products that result from the activity of designing.
    In other words, ethical design is about the “goodness”—in terms of benefit to individuals, society, and the world—of how we collaborate, how we practice our work, and what we create. There’s never a black-and-white answer for whether design is good or bad, yet there are a number of areas for designers to focus on when considering ethics.

    Usability

    Nowadays usability has conquered a spot as a basic requirement for each interface; unusable products are considered design failures. And rightly so; we have a moral obligation as designers to create products that are intuitive, safe, and free from possibly life-threatening errors. We were all reminded of usability’s importance by last year’s accidental nuclear strike warning in Hawaii. What if, instead of a false-positive, the operator had broadcasted a false-negative?

    Accessibility

    Like usability, inclusive design has become a standard item in the requirement list of many designers and companies. (I will never forget that time someone tried to use our website with a screen reader—and got absolutely stuck at the cookie message.) Accessible design benefits all, as it attempts to cover as many needs and capabilities as possible. Yet for each design project, there are still a lot of tricky questions to answer. Who gets to benefit from our solutions? Who is (un)intentionally left out? Who falls outside the “target customer segment”?

    Privacy

    Another day, another Facebook privacy scandal. As we’re progressing into the Data Age, the topic of privacy has become almost synonymous with design ethics. There’s a reason why more and more people use DuckDuckGo as an alternative search engine to Google. Corporations have access to an abundance of personal information about consumers, and as designers we have the privilege—and responsibility—of using this information to shape products and services. We have to consider how much information is strictly necessary and how much people are willing to give up in exchange for services. And how can we make people aware of the potential risks without overloading them?

    User involvement

    Overlapping largely with privacy, this focus area is about how we deal with our users and what we do with the data that we collect from them. IDEO has recently published The Little Book of Design Research Ethics, which provides a comprehensive overview of the core principles and guidelines we should follow when conducting design research.

    Persuasion

    Ethics related to persuasion is about to what extent we may influence the behavior and thoughts of our users. It doesn’t take much to bring acceptable, “white hat” persuasion into gray or even dark territories. Conversion optimization, for example, can easily turn into “How do we squeeze out more revenue from our customers by turning their unconsciousness against them?” Prime examples include Netflix, which convinces us to watch, watch, and watch even more, and Booking.com, which barrages our senses with urgency and social pressure.

    Focus

    The current digital landscape is addictive, distracting, and competing for attention. Designing for focus is about responsibly handling people’s most valuable resource: time. Our challenge is to limit everything that disrupts our users’ attention, lower the addictiveness of products, and create calmness. The Center for Humane Technology has started a useful list of resources for this purpose.

    Sustainability

    What’s the impact of our work on the world’s environment, resources, and climate? Instead of continuously adding new features in the unrelenting scrum treadmill, how could we design for fewer? We’re in the position to create responsible digital solutions that enable sustainable consumer behavior and prevent overconsumption. For example, apps such as Optimiam and Too Good To Go allow people to order leftover food that would normally be thrashed. Or consider Mutum and Peerby, whose peer-to-peer platforms promote the sharing and reuse of owned products.

    Society

    The Ledger of Harms of the Center for Human Technology is a work-in-progress collection of the negative impacts that digital technology has on society, including topics such as relationships, mental health, and democracy. Designers who are mindful of society consider the impact of their work on the global economy, communities, politics, and health.
    [caption id="attachment_7171650" align="alignnone" width="1200"]Focus areas of ethical design: user involvement, persuasion, focus, sustainability, society, usability, accessibility, privacy The focus areas of design ethics. That’s a lot to consider![/caption]

    Ethics as an inconvenience

    Ideally, in every design project, we should assess the potential impact in all of the above-mentioned areas and take steps to prevent harm. Yet there are many legitimate, understandable reasons why we often neglect to do so. It’s easy to have moral principles, yet in the real world, with the constraints that our daily life imposes upon us, it’s seldom easy to act according to those principles. We might simply say it’s inconvenient at the moment. That there’s a lack of time or budget to consider all the ethical implications of our work. That there are many more pressing concerns that have priority right now. We might genuinely believe it’s just a small issue, something to consider later, perhaps. Mostly, we are simply unaware of the possible consequences of our work. And then there’s the sheer complexity of it all: it’s simply too much to simultaneously focus on. When short on time, or in the heat of approaching deadlines and impatient stakeholders, how do you incorporate all of design ethics’ focus areas? Where do you even start?

    Ethics as a structural practice

    For these reasons, I believe we need to elevate design ethics to a more practical level. We need to find ways to make ethics not an afterthought, not something to be considered separately, but rather something that’s so ingrained in our process that not doing it means not doing design at all. The only way to overcome the “inconvenience” of acting ethically is to practice daily ethical design: ethics structurally integrated in our daily work, processes, and tools as designers. No longer will we have to rely on the exceptions among us; those extremely principled who are brave enough to stand up against the system no matter what kind of pressure is put upon them. Because the system will be on our side. By applying ethics daily and structurally in our design process, we’ll be able to identify and neutralize in a very early stage the potential for mistakes and misuse. We’ll increase the quality of our design and our practices simply because we’ll think things through more thoroughly, in a more conscious and structured manner. But perhaps most important is that we’ll establish a new standard for design. A standard that we can sell to our clients as the way design should be done, with ethical design processes and deliverables already included. A standard that can be taught to design students so that the newest generation of designers doesn’t know any better than to apply ethics, always.

    How to practice daily ethical design?

    At this point we’ve arrived at the question of how we can structurally integrate ethics into our design process. How do we make sure that our daily design decisions will result in a product that’s usable and accessible; protects people’s privacy, agency, and focus; and benefits both society and nature? I want to share with you some best practices that I’ve identified so far, and how I’ve tried to apply them during a recent project at Mirabeau. The goal of the project was to build a web application that provides a shaver manufacturer’s factory workers insight into the real-time availability of production materials.

    Connect to your organization’s mission and values

    By connecting our designs to the mission and values of the companies we work for, we can structurally use our design skills in a strategic manner, for moral purposes. We can challenge the company to truly live up to its promises and support it in carrying out its mission. This does, however, require you to be aware of the company’s values, and to compare these to your personal values. As I had worked with our example client before, I knew it was a company that takes care of its employees and has a strong focus on creating a better world. During the kick-off phase, we used a strategy pyramid to structure the client’s mission and values, and to agree upon success factors for the project. We translated the company’s customer-facing brand guidelines to employee-focused design principles that maintained the essence of the organization.

    Keep track of your assumptions

    Throughout our entire design process, we make assumptions for each decision that we take. By structurally keeping track of these assumptions, you’ll never forget about the limitations of your design and where the potential risks lie in terms of (harmful) impact on users, the project, the company, and society. In our example project, we listed our assumptions about user goals, content, and functionalities for each page of the application. If we were not fully sure about the value for end users, or the accuracy of a user goal, we marked it as a value assumption. When we were unsure if data could be made available, we marked this as a data (feasibility) assumption. If we were not sure whether a feature would add to the manufacturer’s business, we marked it as a scope assumption. Every week, we tested our assumptions with end users and business stakeholders through user tests and sprint demos. Each design iteration led to new questions and assumptions to be tested the next week.

    Aim to be proven wrong

    While our assumptions are the known unknowns, there are always unknown unknowns that we aren’t aware of but could be a huge risk for the quality and impact of our work. The only way we can identify these is by applying the scientific principle of falsifiability: seeking actively to be proven wrong. Only outsiders can point out to us what we miss as an individual or as a team. In our weekly user tests, we included factory workers and stakeholders with different disciplines, from different departments, and working in different contexts, to identify the edge cases that could break our concept. On one occasion, this made us reconsider the entirety of our concept. Still, we could have done better: although scalability to other factories was an important success factor, we were unable to gather input from those other factories during the project. We felt our only option was to mention this as a risk (“limit to scalability”).

    Use the power of checklists

    Let’s face it: we forget things. (Without scrolling up the page, can you name all the focus areas of design ethics?) This is where checklists help us out: they provide knowledge in the world, so that we don’t have to process it in our easily overwhelmed memory. Simple yet powerful, a checklist is an essential tool to practice daily ethical design. In our example project, we used checklists to maintain an overview of questions and assumptions to user test, checking whether we included our design principles properly, and assessing whether we complied to the client’s values, design principles, and the agreed-upon success factors. In hindsight, we could also have taken a moment during the concept phase to go through the list of focus areas for design ethics, as well as have taken a more structural approach to check accessibility guidelines.

    The main challenge for daily ethical design

    Most ethics focus areas are quite tangible, where design decisions have immediate, often visible effects. While certainly challenging in their own right, they’re relatively easy to integrate in our daily practice, especially for experienced designers. Society and the environment, however, are more intangible topics; the effects of our work in these areas are distant and uncertain. I’m sure that when Airbnb was first conceived, the founders did not consider the magnitude of its disruptive impact on the housing market. The same goes for Instagram, as its role in creating demand for fast fashion must have been hard to foresee. Hard, but not impossible. So how do we overcome this challenge and make the impact that we have on society and the environment more immediate, more daily?

    Conduct Dark Reality sessions

    The ancient Greek philosopher Socrates used a series of questions to gradually uncover the invalidity of people’s beliefs. In a very similar way, we can uncover the assumptions and potential disastrous consequences of our concepts in a ‘Dark Reality’ session, a form of speculative design that focuses on stress-testing a concept with challenging questions. We have to ask ourselves—or even better, somebody outside our team has to ask us— questions such as, “What is the lifespan of your product? What if the user base will be in the millions? What are the long-term effects on economy, society, and the environment? Who benefits from your design? Who loses? Who is excluded? And perhaps most importantly, how could your design be misused? (For more of these questions, Alan Cooper provided a great list in his keynote at Interaction 18.) The back-and-forth Q&A of the Dark Reality session will help us consider and identify our concept’s weaknesses and potential consequences. As it is a team effort, it will spark discussion and uncover differences in team members’ ethical values. Moreover, the session will result in a list of questions and assumptions that can be tested with potential users and subject matter experts. In the project for the airline control center, it resulted in more consideration for the human role in automatization and how digital interfaces can continue to support human capabilities (instead of replacing them), and reflection on the role of airports in future society. The dark reality session is best conducted during the convergent parts of the double diamond, as these are the design phases in which we narrow down to realistic ideas. It’s vital to have a questioner from outside the team with strong interviewing skills and who doesn’t easily accept an answer as sufficient. There are helpful tools available to help structure the session, such as the Tarot Cards of Tech and these ethical tools.

    Take a step back to go forward

    As designers, we’re optimists by nature. We see the world as a set of problems that we can solve systematically and creatively if only we try hard enough. We intend well. However, merely having the intention to do good is not going to be enough. Our mindset comes with the pitfall of (dis)missing potential disastrous consequences, especially under pressure of daily constraints. That’s why we need to regularly, systematically take a step back and consider the future impact of our work. My hope is that the practical, structural mindset to ethics introduced in this article will help us agree on a higher standard for design.
Search Engine Watch
Keep updated with major stories about search engine marketing and search engines as published by Search Engine Watch.
Search Engine Watch
ClickZ News
Breaking news, information, and analysis.
PCWorld
  • Cerebras Systems' new deep-learning chip is as big as your keyboard, and the largest ever

    If you’ve become accustomed to thinking of CPUs and GPUs that can fit in the palm of your hand, think again—Cerebras Systems says that it’s designed the largest chip ever, one that’s as large as your computer’s keyboard

    Cerebras is scheduled to unveil this whopper of a chip tonight at the Hot Chips conference at Stanford University. While the largest GPU includes 21.1 billion transistors, and requires 815 square millimeters of die space, the Cerebras Systems chip includes 1.2 trillion transistors, and requires 46,225 square millimeters of silicon. That’s 71.64 square inches, or a rectangular chip that would measure about 8 inches by 9 inches. It’s so large that Cerebras published photos comparing it to a PC keyboard!

    To read this article in full, please click here

  • AMD: Next-gen Threadripper is coming, next-gen CrossFire probably isn't

    If you’re a fan of AMD’s Threadripper, don’t worry: More details are coming “soon” on the next-generation Threadripper chip, AMD chief executive Lisa Su said Monday.

    Su, speaking at the Hot Chips conference at Stanford University, was pressed to provide more context on when a next-gen Threadripper would ship. In a series of questions by Anandtech’s Ian Cutress on when new information would be provided, Su’s responses ranged from “soon” to “less than a year,” finally settling on a commitment to provide more information in 2019. 

    Su’s comments followed Threadripper’s conspicuous absence from Su’s Computex keynote in Taiwan, then statements that Threadripper wasn’t being ignored. However, it remains unclear what AMD will announce, or when.

    To read this article in full, please click here

  • The 18 biggest game reveals from Gamescom's first-ever keynote—including Kerbal Space Program 2

    With E3 in what appears to be a slow death spiral, there’s a push to make Gamescom the new tentpole summer event. Whether that will happen? I’m pretty skeptical—but it does mean a new showcase for trailers, closing out the slow summer months with a bang.

    For 2019, Geoff Keighley hosted the first Gamescom Opening Night, a sort of companion show to his annual Game Awards in December. They even managed to sandwich the trailers between awkward award presentations, if you can believe it.

    Gears 5

    At E3 2019, Microsoft chose to focus on Gears 5’s multiplayer modes—and just multiplayer. It was a bit of a weird choice, but Gamescom finally gave us a Nine Inch Nails-backed look at the campaign, our first in a while. 

    To read this article in full, please click here

  • Google shows off Stadia streaming games: Cyberpunk 2077, Mortal Kombat 11, and more

    Give Google some credit, I guess: Whether or not you believe in Stadia, its upcoming video game streaming platform, we sure will know a lot about it when it finally arrives. Today Google hosted its third major Stadia event in six months, detailing more games coming to the service in the ambiguous “release window,” exclusive and otherwise.

    We now know that window stretches to at least April 2020, as Google led off with CD Projekt’s Cyberpunk 2077. It’s a pretty good get, as not only is Cyberpunk one of 2020’s most anticipated games, it’s also bound to be one of the most technologically demanding. The promise of being able to play on Stadia, getting maxed-out 4K visuals without investing in a high-end graphics card of your own? That’s pretty damn neat—if it works.

    To read this article in full, please click here

  • Best NAS drive for media streaming and backup
    If you rip and library your own media, there's no better tool for storing and streaming it than a NAS box. These versatile storage devices also serve as the perfect personal, secure cloud for backing up your PCs and other devices.
CNN.com - RSS Channel - App Tech Section
CNN.com delivers up-to-the-minute news and information on the latest top stories, weather, entertainment, politics and more.
CNN.com - RSS Channel - App Tech Section
 

Ако решите, че "как се прави сайт" ръководството може да бъде полезно и за други хора, моля гласувайте за сайта:

+добави в любими.ком Елате в .: BGtop.net :. Топ класацията на българските сайтове и гласувайте за този сайт!!!

Ако желаете да оставите коментар към статията, трябва да се регистрирате.