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  • Humility: An Essential Value

    Humility: An Essential Value

    Humility, a writer’s most important quality, has a great circle to it. What about sincerity, an business manager’s vital value? Or a doctor’s? Or a student’s? They all have fantastic sounds. When humility is our guiding light, the course is usually available for fulfillment, development, relation, and commitment. We’re going to speak about why in this book.

    That said, this is a guide for developers, and to that conclusion, I’d like to begin with a story—well, a voyage, actually. Along the way, I’m going to render myself a little vulnerable. I call it:

    The Ludicrous Pate of Justin: A Tale

    When I was coming out of arts school, a long-haired, goateed novice, write was a known quantity to me, design on the web, however, was riddled with complexities to understand and learn, a problem to be solved. Although I had formal training in typography, layout, and creative design, what piqued my interest was how these traditional skills could be applied to a young online landscape. This theme may eventually form the rest of my job.

    But I drained HTML and JavaScript novels into the wee hours of the morning and self-taught myself how to code during my freshman year rather than student and go into print like many of my companions. I wanted—nay, needed—to better understand the underlying relevance of what my design decisions may think when rendered in a website.

    The so-called” Wild West” of website layout existed in the late 1990s and the early 2000s. Manufacturers at the time were all figuring out how to use layout and visual connection to the online environment. What regulations were in place? How may we break them and also engage, entertain, and present information? How was my values, which include modesty, respect, and connection, coincide with that on a more general level? I was eager to find out.

    Those are classic factors between non-career relationships and the world of design, even though I’m referring to a different era. What are your main passions, or ideals, that elevate medium? The main elements are all the same, basically the same as what we previously discussed earlier on the immediate parallels between what fulfills you, independent of the visible or online domains.

    First within tables, animated GIFs, Flash, then with Web Standards, divs, and CSS, there was personality, raw unbridled creativity, and unique means of presentment that often defied any semblance of a visible grid. Splash screens and “browser requirement” pages aplenty. Usability and accessibility were typically victims of such a creation, but such paramount facets of any digital design were largely (and, in hindsight, unfairly) disregarded at the expense of experimentation.

    For instance, this iteration of my personal portfolio site (” the pseudoroom” ) from that time was experimental if not a little overt with regard to how the idea of a living sketchbook was conveyed visually. Very skeuomorphic. On this one, I worked with fellow designer and dear friend Marc Clancy, who is now a co-founder of the creative project organizing app Milanote, to sketch and then play with various user interactions. Then, I’d break it down and code it into a digital layout.

    Along with design folio pieces, the site also offered free downloads for Mac OS customizations: desktop wallpapers that were effectively design experimentation, custom-designed typefaces, and desktop icons.

    GUI Galaxy was a design, pixel art, and Mac-centric news portal that my friends and I conceptualized, designed, developed, and deployed around the same time.

    Design news portals were incredibly popular at the time, and they now considered Tweet-sized, small-format snippets of relevant news from the categories I previously covered. If you took Twitter, curated it to a few categories, and wrapped it in a custom-branded experience, you’d have a design news portal from the late 90s / early 2000s.

    We had evolved into a bandwidth-sensitive, award-winning, much more accessibility-conscious website using web standards. Still ripe with experimentation, yet more mindful of equitable engagement. Below are some content panes that show general news (tech, design ) and news centered on Mac. We also offered many of the custom downloads I cited before as present on my folio site but branded and themed to GUI Galaxy.

    The presentation layer consists of international design, illustration, and news author collaboration, and the backbone of the website was a homegrown CMS. And the collaboration effort here, in addition to experimentation on a’ brand’ and content delivery, was hitting my core. We were creating something bigger than just one of us and establishing a global audience.

    Collaboration and connection transcend medium in their impact, immensely fulfilling me as a designer.

    Now, why am I taking you on this trip through design memory lane? Two reasons.

    First of all, there’s a reason for the nostalgia for that design era ( the” Wild West” era, as I put it ): the inherent exploration, personality, and creativity that dominated many design portals and personal portfolio websites. Ultra-finely detailed pixel art UI, custom illustration, bespoke vector graphics, all underpinned by a strong design community.

    The web design industry has experienced stagnation in recent years. I suspect there’s a strong chance you’ve seen a site whose structure looks something like this: a hero image / banner with text overlaid, perhaps with a lovely rotating carousel of images ( laying the snark on heavy there ), a call to action, and three columns of sub-content directly beneath. Perhaps there are selections that vaguely relate to their respective content in an icon library.

    Design, as it’s applied to the digital landscape, is in dire need of thoughtful layout, typography, and visual engagement that goes hand-in-hand with all the modern considerations we now know are paramount: usability. accessibility. Load times and bandwidth- sensitive content delivery. A user-friendly presentation that connects with people wherever they are. We must be mindful of, and respectful toward, those concerns—but not at the expense of creativity of visual communication or via replicating cookie-cutter layouts.

    Pixel Issues

    Websites during this period were often designed and built on Macs whose OS and desktops looked something like this. Although Mac OS 7.5 is available, 8 and 9 are not very different.

    How could any single icon, at any point, stand out and grab my attention? This fascinated me. In this example, the user’s desktop is tidy, but think of a more realistic example with icon pandemonium. Or, let’s say an icon was a part of a larger system grouping ( fonts, extensions, control panels ): how did it maintain cohesion within a group as well?

    These were 32 x 32 pixel creations, utilizing a 256-color palette, designed pixel-by-pixel as mini mosaics. Under such absurd constraints, this seemed to me to be the embodiment of digital visual communication. And often, ridiculous restrictions can yield the purification of concept and theme.

    So I started doing my homework and conducting research. I was a student of this new medium, hungry to dissect, process, discover, and make it my own.

    I wanted to see how I could use that 256-color palette to push the boundaries of a 32×32 pixel grid, expanding upon the idea of exploration. Those ridiculous constraints forced a clarity of concept and presentation that I found incredibly appealing. The challenge of throwing the digital gauntlet had been thrown at me. And so, in my dorm room into the wee hours of the morning, I toiled away, bringing conceptual sketches into mini mosaic fruition.

    These are some of my creations that made use of ResEdit, the only program I had at the time, to create icons. ResEdit was a clunky, built-in Mac OS utility not really made for exactly what we were using it for. Research is at the center of all of this work. Challenge. Problem-solving Again, these core connection-based values are agnostic of medium.

    There’s one more design portal I want to talk about, which also serves as the second reason for my story to bring this all together.

    This is the Kaliber 1000, or K10k, short for. K10k was founded in 1998 by Michael Schmidt and Toke Nygaard, and was the design news portal on the web during this period. It was the place to be, my friend, with its pixel art-fueled presentation, ultra-focused care given to every aspect of every detail, and many of the more influential designers of the time who were invited to be news authors on the site. With respect where respect is due, GUI Galaxy’s concept was inspired by what these folks were doing.

    For my part, the combination of my web design work and pixel art exploration began to get me some notoriety in the design scene. K10k eventually added me as one of their very select group of news writers to the website’s content.

    Amongst my personal work and side projects —and now with this inclusion—in the design community, this put me on the map. Additionally, my design work has started to appear on other design news portals, as well as be published in various printed collections, in domestic and international magazines, and in various printed collections. With that degree of success while in my early twenties, something else happened:

    I really changed into a colossal asshole in just about a year of school, not less. The press and the praise became what fulfilled me, and they went straight to my head. My ego was inflated by them. I actually felt somewhat superior to my fellow designers.

    The victims? My design stagnated. My evolution has stagnated, as is its evolution.

    I felt so supremely confident in my abilities that I effectively stopped researching and discovering. When I used to lead sketch concepts or iterations as my first instinctive step, I instead leaped right into Photoshop. I drew my inspiration from the smallest of sources ( and with blinders on ). Any criticism of my work from my fellow students was frequently vehemently dissented. The most tragic loss: I had lost touch with my values.

    My ego almost destroyed some of my friendships and blossoming professional relationships. I was toxic in talking about design and in collaboration. However, thankfully, those same friends gave me a priceless gift: sincerity. They called me out on my unhealthy behavior.

    It’s true, I initially didn’t accept it, but after much reflection, I was able to accept it. I was soon able to accept, and process, and course correct. Although the re-awakening was necessary, the realization let me down. I let go of the “reward” of adulation and re-centered upon what stoked the fire for me in art school. Most importantly, I returned to my fundamental values.

    Always Students

    Following that temporary decline, my personal and professional design journey advanced. And I could self-reflect as I got older to facilitate further growth and course correction as needed.

    Let’s use the Large Hadron Collider as an example. The LHC was designed” to help answer some of the fundamental open questions in physics, which concern the basic laws governing the interactions and forces among the elementary objects, the deep structure of space and time, and in particular the interrelation between quantum mechanics and general relativity”. Thank you, Wikipedia.

    Around fifteen years ago, in one of my earlier professional roles, I designed the interface for the application that generated the LHC’s particle collision diagrams. These diagrams are the depiction of what is actually happening inside the Collider during any given particle collision event and are frequently regarded as works of art by themselves.

    Designing the interface for this application was a fascinating process for me, in that I worked with Fermilab physicists to understand what the application was trying to achieve, but also how the physicists themselves would be using it. In order to accomplish this, in this role,

    I cut my teeth on usability testing, working with the Fermilab team to iterate and improve the interface. To me, how they spoke and what they talked about was like an alien tongue. And by making myself humble and working under the mindset that I was but a student, I made myself available to be a part of their world to generate that vital connection.

    I also had my first ethnographic observational experience, which involved visiting the Fermilab location and observing how the physicists used the tool in their own environments, on their own terminals. For example, one takeaway was that due to the level of ambient light-driven contrast within the facility, the data columns ended up using white text on a dark gray background instead of black text-on-white. They were able to focus on their eyes while working during the day while poring over enormous amounts of data. And Fermilab and CERN are government entities with rigorous accessibility standards, so my knowledge in that realm also grew. Another crucial form of communication was the barrier-free design.

    So to those core drivers of my visual problem-solving soul and ultimate fulfillment: discovery, exposure to new media, observation, human connection, and evolution. Before I entered those values, I checked my ego before entering the door.

    An evergreen willingness to listen, learn, understand, grow, evolve, and connect yields our best work. I want to pay attention to the words “grow” and “evolve” in that statement in particular. If we are always students of our craft, we are also continually making ourselves available to evolve. Yes, we have completed years of design research. Or the focused lab sessions from a UX bootcamp. Or the monogrammed portfolio of our work. Or, ultimately, decades of a career behind us.

    However, with all that being said, experience does not make one an “expert.”

    As soon as we close our minds via an inner monologue of’ knowing it all’ or branding ourselves a” #thoughtleader” on social media, the designer we are is our final form. The creator who we can be will never be there.

  • I am a creative.

    I am a creative.

    I am imaginative. What I do is alchemy. It’s a puzzle. Instead of letting it get done by me, I do it.

    I am imaginative. This tag is not appropriate for all creatives. No everyone sees themselves in this way. Some innovative individuals practice technology in their work. That is the way they are, and I take that into account. Perhaps I also have a little bit of fear for them. However, my staying and approach are different.

    Apologizing and qualifying in advance is a diversion. That’s what my head does to destroy me. I’ll leave it alone for today. I may forgive and be qualified at any time. After I’ve said what I originally said. Which is too difficult.

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

    Sometimes it does go that method. Maybe I have to make something right away. I’ve learned to avoid saying it right away because they think you don’t work hard enough when you realize that sometimes the idea really comes along and it is the best plan and you know it is the best idea.

    Sometimes I just keep working until the plan strikes me. Maybe it arrives right away, but I don’t remind people for three days. Sometimes 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 prize in a box of Cracker Jacks. I occasionally manage to escape this. Yes, that is the best idea, but often others disagree. The majority of the time, they don’t, and I regret that passion has faded.

    Passion should only be saved for the meet, when it will matter. 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 yet are good. 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 topic.

    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 power over my best tips.

    I can chisel aside, surround myself with information or photos, and occasionally that works. 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 plan for action when I wake up. 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 thoughtless 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. But authors should be asking this, and I am not a writer. I am imaginative. Theologians are encouraged to build massive armies in their artistic globe, which they insist is real. But that is yet another diversion. And one that is sad. Whether or not I am innovative or not, this may be on a much larger issue. But that’s also a step backwards from what I’m trying to say.

    Often, the outcome is evasion. And 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 ask, it’s true.

    Some individuals who detest the idea of being called artistic perhaps been closeted artists, but that’s between them and their gods. No offence here, that’s meant. Your reality is also true. My needs are own, though.

    Designers acknowledge their work.

    Disadvantages know cons, just like real rappers recognize true rappers, just like queers recognize queers. Artists are highly revered by people in the world. We respect, follow, and nearly deify the excellent ones. Of course, it is dreadful to revere any person. We’ve been given a warning. Better is what we are. We are aware that people are really people. They argue, they are depressed, they regret their most critical decisions, they are weak and hungry, they can be violent, and they can be as ridiculous as we can if, like us, they are clay. 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 ‘ parents. And I suppose I should add that they are the mother of technology because it’s just lying it. Ba ho bum! Okay, that’s all said and done. Continue.

    Because we compare our personal small accomplishments to those of the great ones, artists denigrate our individual. Wonderful graphics I‘m not Miyazaki, though. That is glory right then. That is brilliance straight out of the Bible. This unsatisfied small thing I created? It essentially fell off the back of the pumpkin truck. The carrots weren’t actually new, either.

    Designers is aware that they are at best Salieri. That is what Mozart’s artists do, actually.

    I am imaginative. I haven’t worked in advertising in 30 times, but my former artistic managers have been the ones who make my decisions. They are correct in doing so. When it really matters, my brain goes flat because I am too lazy and complacent. No medication is available to treat artistic function.

    I am imaginative. Every project I create has a goal that makes Indiana Jones appear older and snoring in a deck head. The more I pursue creativity, the faster I can finish my work, and the longer I brood and circle and gaze blankly before I can finish that work.

    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 had a short time of creative work. Only that I spend twice as long putting the job off as they do 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 hurry. I’m still so scared of jumping.

    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 like 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, I make decisions based on my own senses and instincts. And bear witness to what comes next, both the successes and the calamities.

    I am imaginative. Every term I’ve said these may irritate another artists who see things differently. Ask two artists a topic and find three opinions. Our dispute, our interest in it, and our responsibility to our own truth, at least in my opinion, are the proof that we are creative, no matter how we does think about it.

    I am imaginative. I lament my lack of taste in almost all of the areas of human understanding that I know very little about. And I put my ego before everything else in the areas that are most important to me, or perhaps more precisely, to my obsessions. Without my passions, I’d probably have to spend the majority of our time looking ourselves in the eye, which is something that almost none of us can do for very long. No seriously. No really. Because living is so difficult to handle when 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 parent does.

    Working frees me from worrying about my job.

    I am imaginative. I fear that my little product will disappear without warning.

    I am imaginative. I spend way too much time making the next thing, given that almost nothing I create did achieve the level of greatness I conceive of.

    I am imaginative. I think there is the greatest secret in the process. I think I have to consider it so strongly that I actually made the foolish decision to publish an essay I wrote without having to go through or edit. 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.

  • Opportunities for AI in Accessibility

    Opportunities for AI in Accessibility

    I thoroughly enjoyed reading Joe Dolson’s most recent article on the crossroads of AI and mobility because of how skeptical he is of AI in general and how many people have been using it. In fact, I’m very skeptical of AI myself, despite my role at Microsoft as an accessibility technology strategist who helps manage the AI for Accessibility award program. AI can be used in quite creative, inclusive, and accessible ways, as well as harmful, exclusive, and harmful ways, just like with any tool. Additionally, there are a lot of uses in the subpar center.

    I’d like you to consider this a “yes … and” piece to complement Joe’s post. Instead of refuting everything he’s saying, I’m pointing out some areas where AI may produce real, positive impacts on people with disabilities. I want to take some time to talk about what’s possible in hope that we’ll get there one day. I’m no saying that there aren’t real challenges or pressing problems with AI that need to be addressed; there are.

    Other words

    Joe’s article spends a lot of time addressing computer-vision models ‘ ability to create other words. He raises a number of true points about the state of affairs 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 graphic 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. However, 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 to provide a starting place for alt text, even if the swift may say 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 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 title 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 onboard model concluded this ), imagine a world where people could ask questions like these about the creative:

    • Do more people use feature phones or smartphones?
    • How many more?
    • Is there a group of people that don’t fall into either of these buckets?
    • How many people are that?

    For a moment, the chance to learn more about images and data in this way could be revolutionary for people who are blind and low vision as well as for those with various forms of color blindness, cognitive disabilities, and other issues. Putting aside the realities of large language model ( LLM) hallucinations. 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 demanded that the line graph be isolated into just one line? 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 today’s AI tools.

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

    Matching algorithms

    When Safiya Umoja Noble chose to write 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’s equally true that all computer models have the potential to foster conflict, prejudice, 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 a result of a lack of diversity in the people who design and construct 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. They match job seekers with potential employers using an algorithm based on more than 75 data points. 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 issues relating to each job, and other factors. Mentra made the decision to change the script when it came to traditional 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.

    When more people with disabilities are involved in developing algorithms, this can lower the likelihood that these algorithms 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 follow a group of white men who are not white or aren’t white and who also discuss AI, it might be wise to follow those who are also disabled or who are not white. If you followed its advice, you might gain a more in-depth and nuanced understanding of what’s happening in the AI field. 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 may be aware of the voice-prescribing options from Microsoft, Acapela, or others, or you may have seen the announcement for VALL-E or Apple’s Global Accessibility Awareness Day. 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. We need to approach this tech responsibly because it has the potential to have a truly transformative impact, which is why it can also be used to create audio deepfakes.
    • 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 a result of this research, which will lead to more inclusive data sets that enable them to use their computers and other devices more effectively and with just their voices.
    • 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

    Our differences must be acknowledged as important. The intersections of the identities that we exist 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. Inclusive data sets produce stronger models that promote more justifiable outcomes.

    Want a model that doesn’t demean or patronize or objectify people with disabilities? Make sure that you include information about disabilities that has been written by people with a variety of disabilities in the training data.

    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 can and will be for people today, tomorrow, and for the rest of the world. However, I also think we should acknowledge this and make thoughtful, thoughtful, and intentional changes to our approaches to AI that will reduce harm over time as well. 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.

  • The Wax and the Wane of the Web

    The Wax and the Wane of the Web

    When you begin to believe you have all figured out, everyone does change, in my experience. Simply as you start to get the hang of injections, diapers, and ordinary sleep, it’s time for solid foods, potty training, and nighttime sleep. When you figure those over, it’s time for some short breaks for nap and school. The cycle goes on and on.

    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 a routine pattern, a brand-new concept or technology emerges to shake things up and completely alter our 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 techniques (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. Websites now no longer needed to refresh their webpages ‘ content. 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 photo replacement enable skilled manufacturers and developers to show fonts of their choosing. And technology like Flash made it possible to include movies, sports, and even more engagement.

    These new methods, requirements, and technologies greatly boosted the sector’s growth. Web style flourished as manufacturers and designers explored more different styles and designs. However, we also relied heavily on exploits. 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 were required for complicated layouts ( or both ). Display and photo substitute for specialty styles was a great start toward varying the designs from the big five, but both tricks introduced convenience and efficiency issues. Additionally, JavaScript libraries made it simple to add a dash of interaction to pages without having to spend the money to double or even quadruple the download size for basic websites.

    The web as software platform

    The balance between the front end and the back end continued to improve, leading to the development of the current web application era. 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 positive and negative outcomes.

    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. A fun tour through” Internet Artifacts” is also provided by Neal Agarwal.

    Where we are now

    It seems like we’ve reached yet another significant turning point in the last couple of years. As social-media platforms fracture and wane, there’s been a growing interest in owning our own content again. From the tried-and-true classic of hosting plain HTML files to static site generators and content management systems of all kinds, there are many different ways to create websites. The fracturing of social media also comes with a cost: we lose crucial infrastructure for discovery and connection. Webmentions, RSS, ActivityPub, and other IndieWeb tools can be useful in this regard, 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 standards like web components like CSS, JavaScript, and other standards has increased, particularly with efforts like Interop. New technologies gain support across the board in a fraction of the time that they used to. I frequently find out about a new feature and check its browser support only to discover that its coverage is already over 80 %. 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 when scripts fail ( whether due to poor code, network issues, or other environmental factors ), users frequently have no choice but to use blank or broken pages.

    Where do we go from here?

    Hacks of today help to shape standards for the future. 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 refuse to take their place. 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 of 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 the basics. 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 always be said of 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! This website we created is the most incredible experiment. It’s the single largest human endeavor in history, and yet each of us can create our own pocket within it. Be brave and try something new. Build a playground for ideas. In your own bizarre science lab, conduct absurd 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 experiment, play, and learn. 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.

    Make a move and make it happen.

    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.

  • To Ignite a Personalization Practice, Run this Prepersonalization Workshop

    To Ignite a Personalization Practice, Run this Prepersonalization Workshop

    This is in the photo. You’ve joined a club at your business that’s designing innovative product features with an focus on technology or AI. Or perhaps your business only implemented a personalization website. Either way, you’re designing with statistics. What’s next? When it comes to designing for personalization, there are many warning stories, no immediately achievement, and some guidelines for the baffled.

    The personalization space is true, between the dream of getting it right and the worry of it going wrong ( like when we encounter “persofails” similar to a company’s constant plea to regular people to purchase additional bathroom seats ). It’s an particularly confusing place to be a modern professional without a map, a map, or a strategy.

    Because successful personalization is so dependent on each group’s skill, technology, and market position, there are no Lonely Planet and some tour guides for those of you who want to personalize.

    But you can ensure that your group has packed its bags rationally.

    There’s a DIY method to increase your chances for achievement. You’ll at least at least disarm your boss ‘ irrational exuberance. Before the group you’ll need to properly plan.

    It’s known as prepersonalization.

    Behind the audio

    Take into account Spotify’s DJ element, which debuted this year.

    We’re used to seeing the polished final outcome of a personalization have. A personal have had to be conceived, budgeted, and prioritized before the year-end prize, the making-of-backstory, or the behind-the-scenes success chest. Before any customisation have goes live in your product or service, it lives amid a delay of valuable ideas for expressing consumer experiences more automatically.

    How do you decide where to position personalization wagers? How do you design regular interactions that hasn’t journey up users or—worse—breed mistrust? We’ve found that for many well-known budgeted programs to support their continued investments, they initially required one or more workshops to join vital technologies users and stakeholders. Make it count.

    We’ve closely observed the same evolution with our consumers, from major software to young companies. In our experience with working on small and large personalization work, a program’s best monitor record—and its capacity to weather tough questions, work steadily toward shared answers, and manage its design and engineering efforts—turns on how successfully these prepersonalization activities play out.

    Effective workshops consistently separate successful future endeavors from unsuccessful ones, saving countless hours of time, resources, and overall well-being.

    A personalization practice involves a multiyear effort of testing and feature development. It’s not a switch-flip in your tech stack. It’s best managed as a backlog that often evolves through three steps:

    1. customer experience optimization ( CXO, also known as A/B testing or experimentation )
    2. always-on automations ( whether rules-based or machine-generated )
    3. mature features or standalone product development ( like Spotify’s DJ experience )?

    This is why we created our progressive personalization framework and why we’re field-testing an accompanying deck of cards: we believe that there’s a base grammar, a set of “nouns and verbs” that your organization can use to design experiences that are customized, personalized, or automated. You won’t require these cards. But we strongly recommend that you create something similar, whether that might be digital or physical.

    Set the timer for your kitchen.

    How long does it take to cook up a prepersonalization workshop? The evaluation activities that we suggest include can last for a number of weeks ( and frequently do ). For the core workshop, we recommend aiming for two to three days. Here’s a summary of our more general approach as well as information on the crucial first-day activities.

    The full arc of the wider workshop is threefold:

      Kickstart: This specifies the terms of your engagement as you concentrate on both your team’s and your team’s readiness and drive.
    1. Plan your work: This is the heart of the card-based workshop activities where you specify a plan of attack and the scope of work.
    2. Work your plan: This stage essentially entails creating a competitive environment in which team members can individually present their own pilots that each contain a proof-of-concept project, its business case, and its operating model.

    Give yourself at least a day, split into two large time blocks, to power through a concentrated version of those first two phases.

    Kickstart: Apt your appetite

    We call the first lesson the “landscape of connected experience“. It looks at the possibilities for personalization in your company. A connected experience, in our parlance, is any UX requiring the orchestration of multiple systems of record on the backend. A marketing-automation platform and a content-management system could be used together. It could be a digital-asset manager combined with a customer-data platform.

    Give examples of connected experience interactions that you admire, find familiar, or even dislike, as examples of consumer and business-to-business examples. This should cover a representative range of personalization patterns, including automated app-based interactions ( such as onboarding sequences or wizards ), notifications, and recommenders. These are in the cards, which we have a catalog of. Here’s a list of 142 different interactions to jog your thinking.

    It’s all about setting the tone. What are the possible paths for the practice in your organization? Here’s a long-form primer and a strategic framework for a broader view.

    Assess each example that you discuss for its complexity and the level of effort that you estimate that it would take for your team to deliver that feature ( or something similar ). We categorize connected experiences in our cards according to their functions, features, experiences, complete products, and portfolios. Size your own build here. This will help to draw attention to the benefits of ongoing investment as well as the difference between what you currently offer and what you intend to offer in the future.

    Next, have your team plot each idea on the following 2×2 grid, which lays out the four enduring arguments for a personalized experience. This is crucial because it emphasizes how personalization can affect your own methods of working as well as your external customers. It’s also a reminder ( which is why we used the word argument earlier ) of the broader effort beyond these tactical interventions.

    Each team member should decide where they would like to place your company’s emphasis on your product or service. Naturally, you can’t prioritize all of them. Here, the goal is to demonstrate how various departments may view their own advantages over the effort, which can be different from one department to the next. Documenting your desired outcomes lets you know how the team internally aligns across representatives from different departments or functional areas.

    The third and final KickStart activity is about filling in the personalization gap. Is your customer journey well documented? Will ensuring data and privacy is a major challenge too much? Do you have content metadata needs that you have to address? It’s just a matter of acknowledging the magnitude of that need and finding a solution ( we’re fairly certain that you do ). In our cards, we’ve noted a number of program risks, including common team dispositions. For instance, our Detractor card lists six intractable behaviors that prevent progress.

    Effectively collaborating and managing expectations is critical to your success. Consider the potential obstacles to your advancement in the future. Press the participants to name specific steps to overcome or mitigate those barriers in your organization. According to research, personalization initiatives face a number of common obstacles.

    At this point, you’ve hopefully discussed sample interactions, emphasized a key area of benefit, and flagged key gaps? Good, you’re ready to go on.

    Hit that test kitchen

    Next, let’s take a look at what you’ll need to create personalization recipes. Personalization engines, which are robust software suites for automating and expressing dynamic content, can intimidate new customers. Their capabilities are broad and potent, and they give you a variety of ways to organize your company. This presents the question: Where do you begin when you’re configuring a connected experience?

    The key here is to avoid treating the installed software like some imagined kitchen from a fantasy remodeling project ( as one of our client executives humorously put it ). These software engines are more like test kitchens where your team can begin devising, tasting, and refining the snacks and meals that will become a part of your personalization program’s regularly evolving menu.

    Over the course of the workshop, the final menu of the prioritized backlog will be created. And creating “dishes” is the way that you’ll have individual team stakeholders construct personalized interactions that serve their needs or the needs of others.

    The dishes will be made using recipes that have predetermined ingredients.

    Verify your ingredients

    Like a good product manager, you’ll make sure you have everything you need to make your desired interaction ( or that you can figure out what needs to be added to your pantry ) and that you validate with the right stakeholders present. These ingredients include the audience that you’re targeting, content and design elements, the context for the interaction, and your measure for how it’ll come together.

    This is not just about identifying needs. Documenting your personalizations as a series of if-then statements lets the team:

    1. compare findings to a common method for developing features, similar to how artists paint with the same color palette,
    2. specify a consistent set of interactions that users find uniform or familiar,
    3. and establish parity between all important performance indicators and performance metrics.

    This helps you streamline your designs and your technical efforts while you deliver a shared palette of core motifs of your personalized or automated experience.

    Create a recipe.

    What ingredients are important to you? Consider the construct of a who-what-when-why

    • Who are your key audience segments or groups?
    • What kind of content will you offer them, what design elements, and under what circumstances?
    • And for which business and user benefits?

    Five years ago, we created these cards and card categories. We regularly play-test their fit with conference audiences and clients. And there are still fresh possibilities. But they all follow an underlying who-what-when-why logic.

    In the cards in the accompanying photo below, you can typically follow along with right to left in three examples of subscription-based reading apps.

    1. Nurture personalization: When a guest or an unknown visitor interacts with a product title, a banner or alert bar appears that makes it easier for them to encounter a related title they may want to read, saving them time.
    2. Welcome automation: An email is sent to a newly registered user to highlight the breadth of the content catalog and convert them to happy subscribers.
    3. Winback automation: Before their subscription lapses or after a recent failed renewal, a user is sent an email that gives them a promotional offer to suggest that they reconsider renewing or to remind them to renew.

    We’ve also found that sometimes this process comes together more effectively by cocreating the recipes themselves, so a good preworkshop activity might be to think about what these cards might be for your organization. Start with a set of blank cards, and begin labeling and grouping them through the design process, eventually distilling them to a refined subset of highly useful candidate cards.

    The later stages of the workshop could be characterized as moving from focusing on a cookbook to a more nuanced customer-journey mapping. Individual” cooks” will pitch their recipes to the team, using a common jobs-to-be-done format so that measurability and results are baked in, and from there, the resulting collection will be prioritized for finished design and delivery to production.

    Better architecture is necessary for better kitchens.

    Simplifying a customer experience is a complicated effort for those who are inside delivering it. Beware of anyone who contradicts your advice. With that being said,” Complicated problems can be hard to solve, but they are addressable with rules and recipes“.

    When a team overfits: they aren’t designing with their best data, personalization turns into a laughing line. Like a sparse pantry, every organization has metadata debt to go along with its technical debt, and this creates a drag on personalization effectiveness. For instance, your AI’s output quality is in fact impacted by your IA. Spotify’s poster-child prowess today was unfathomable before they acquired a seemingly modest metadata startup that now powers its underlying information architecture.

    You can withstand the heat without a doubt.

    Personalization technology opens a doorway into a confounding ocean of possible designs. Only a disciplined and highly collaborative approach can achieve the necessary concentration and intention. So banish the dream kitchen. Instead, head to the test kitchen to save time, preserve job security, and avoid imagining the creative concepts that come from the doers in your organization. There are meals to serve and mouths to feed.

    This framework of the workshop gives you a strong chance at long-term success as well as solid ground. Wiring up your information layer isn’t an overnight affair. However, if you use the same cookbook and the same recipes, you’ll have solid ground for success. We designed these activities to make your organization’s needs concrete and clear, long before the hazards pile up.

    Your time well spent is being able to assess your unique situation and digital skills, despite the associated costs associated with investing in this kind of technology and product design. Don’t squander it. The pudding is the proof, as they say.

  • User Research Is Storytelling

    User Research Is Storytelling

    I’ve been fascinated by shows since I was a child. I loved the heroes and the excitement—but most of all the stories. I aspired to be an artist. And I believed that I’d get to do the things that Indiana Jones did and go on interesting activities. Yet my friends and I had movie ideas to make and sun in. But they never went any farther. However, I did end up working in user experience ( UI). Today, I realize that there’s an element of drama to UX— I hadn’t actually considered it before, but consumer research is story. And to get the most out of customer studies, you must tell a compelling story that involves stakeholders, including the product team and decision-makers, and piques their interest in learning more.

    Think of your favorite film. It probably follows a three-act narrative architecture: the installation, the conflict, and the resolution, which is prevalent in literature. The second act shows what exists now, and it helps you get to understand the characters and the challenges and problems that they face. Act two sets the scene for the fight and the activity begins. Here, difficulties grow or get worse. The decision comes in the third and final action. This is where the issues are resolved and the figures learn and change. This structure, in my opinion, is also a fantastic way to think about customer research, and I think it can be particularly useful for explaining consumer research to others.

    Use story as a framework for conducting analysis

    It’s sad to say, but many have come to see studies as being inconsequential. Research is typically one of the first things to go when finances or deadlines are tight. Instead of investing in study, some goods professionals rely on manufacturers or—worse—their personal judgment to make the “right” options for users based on their experience or accepted best practices. That might lead to some clubs getting in the way, but it’s too easy to overlook the real problems facing users. To be user-centered, this is something we really avoid. User study improves pattern. It keeps it on trail, pointing to problems and opportunities. Being aware of problems with your goods and taking corrective actions can help you keep ahead of your competition.

    In the three-act structure, each action corresponds to a part of the process, and each part is important to telling the whole story. Let’s take a look at the various functions and how they relate to customer research.

    Act one: installation

    The setup consists entirely in comprehending the history, and that’s where basic research comes in. Basic research ( also called conceptual, discovery, or original research ) helps you understand people and identify their problems. You’re learning about the problems people face now, what options are available, and how those challenges impact them, just like in the films. To do basic research, you may conduct situational inquiries or journal studies ( or both! ), which may assist you in identifying both challenges and options. It doesn’t need to get a great investment in time or money.

    What is the least feasible ethnography that Erika Hall can do is spend fifteen minutes with a consumer and say,” Walk me through your day yesterday. That’s it. Provide that one ask. Opened up and listen to them for 15 days. Do everything in your power to keep yourself and your pursuits out of it. Bam, you’re doing ethnography”. According to Hall, “[This ] will definitely prove quite fascinating. In the very unlikely event that you didn’t learn anything new or helpful, carry on with increased confidence in your way”.

    I think this makes sense. And I love that this makes consumer research so visible. You don’t need to make a lot of paperwork; you can only attract people and do it! This can offer a wealth of knowledge about your customers, and it’ll help you better understand them and what’s going on in their life. That’s what work one is really all about: understanding where people are coming from.

    Maybe Spool talks about the importance of basic research and how it may type the bulk of your research. If you can supplement what you’ve heard in the basic studies by using any more user data that you can obtain, such as surveys or analytics, to make recommendations that may need to be investigated further, you might as well use those that can be drawn from those that you can obtain. Together, all this information creates a clearer picture of the state of things and all its deficiencies. And that’s the start of a gripping tale. It’s the place in the story where you realize that the principal characters—or the people in this case—are facing issues that they need to conquer. This is where you begin to develop compassion for the characters and support their success, much like in films. And maybe partners are now doing the same. Their concern may be with their company, which may be losing money because people are unable to complete specific tasks. Or probably they do connect with people ‘ problems. In either case, action one serves as your main strategy for piqueing interest and investment from the participants.

    When partners begin to understand the value of basic research, that is open doors to more opportunities that involve users in the decision-making approach. And that can influence product team ‘ focus on improving. This rewards everyone—users, the goods, and partners. It’s similar to winning an Oscar for a film because it frequently results in a favorable and successful outcome for your item. And this can be an opportunity for participants to repeat this process with different products. The secret to this approach is storytelling, and knowing how to tell a compelling story is the only way to entice partners to do more research.

    This brings us to work two, where you incrementally review a design or idea to see whether it addresses the problems.

    Act two: fight

    Act two is all about digging deeper into the issues that you identified in operate one. This typically involves conducting vertical study, such as accessibility tests, where you evaluate a potential solution ( such as a design ) to see if it addresses the problems you identified. The issues may include unfulfilled needs or problems with a circulation or procedure that’s tripping users away. Additional problems will arise in the course of action two of a film. It’s here that you learn more about the figures as they grow and develop through this work.

    Usability tests should generally consist of five participants, according to Jakob Nielsen, who found that that number of users can usually identify the majority of the issues:” As you add more and more users, you learn less and less because you will keep seeing the same things again and again… After the second user, you are wasting your time by observing the same findings regularly but hardly learning much new.”

    There are parallels with storytelling here too, if you try to tell a story with too many characters, the plot may get lost. With fewer participants, each user’s struggles will be more memorable and accessible to other stakeholders when presenting the research. This can help convey the issues that need to be addressed while also highlighting the value of doing the research in the first place.

    Usability tests have been conducted in person for tens of thousands of years, but remote testing can also be done using software like Microsoft Teams, Zoom, or other teleconferencing tools. This approach has become increasingly popular since the beginning of the pandemic, and it works well. You might interpret in-person usability tests as a form of theater watching as opposed to remote testing. There are advantages and disadvantages to each. Usability research in person is a much more extensive experience. Stakeholders can experience the sessions with other stakeholders. You also get real-time feedback on what they’re seeing, including surprises, disagreements, and discussions about them. Much like going to a play, where audiences get to take in the stage, the costumes, the lighting, and the actors ‘ interactions, in-person research lets you see users up close, including their body language, how they interact with the moderator, and how the scene is set up.

    If conducting usability testing in the field is like watching a play that is staged and controlled, where any two sessions may be very different from one another. You can take usability testing into the field by creating a replica of the space where users interact with the product and then conduct your research there. Or you can meet users at their location to conduct your research. With either option, you get to see how things work in context, things come up that wouldn’t have in a lab environment—and conversion can shift in entirely different directions. You have less control over how these sessions run as researchers, but this can occasionally improve your understanding of users. Meeting users where they are can provide clues to the external forces that could be affecting how they use your product. In-person usability tests add a level of detail that remote usability tests frequently lack.

    That’s not to say that the “movies” —remote sessions—aren’t a good option. A wider audience can be obtained from remote sessions. They allow a lot more stakeholders to be involved in the research and to see what’s going on. And they make access to a much wider range of users in their own country. But with any remote session there is the potential of time wasted if participants can’t log in or get their microphone working.

    You can ask real users questions to understand their thoughts and understanding of the solution as a result of usability testing, whether it is conducted remotely or in person. This can help you not only identify problems but also glean why they’re problems in the first place. Additionally, you can test your own hypotheses and determine whether your reasoning is correct. By the end of the sessions, you’ll have a much clearer picture of how usable the designs are and whether they work for their intended purposes. The excitement is in the second act, but there are also potential surprises in the third. This is equally true of usability tests. Sometimes, participants will say unexpected things that alter the way you look at them, which can lead to unexpected turns in the story.

    Unfortunately, user research is sometimes seen as expendable. Usability testing is frequently the only method of research that some stakeholders believe they ever need, and it’s too frequently the case. In fact, if the designs that you’re evaluating in the usability test aren’t grounded in a solid understanding of your users ( foundational research ), there’s not much to be gained by doing usability testing in the first place. Because you narrow down the subject matter of your feedback without understanding the needs of the users. As a result, there’s no way of knowing whether the designs might solve a problem that users have. In the context of a usability test, it’s only feedback on a particular design.

    On the other hand, if you only do foundational research, while you might have set out to solve the right problem, you won’t know whether the thing that you’re building will actually solve that. This demonstrates the value of conducting both directional and foundational research.

    In act two, stakeholders will—hopefully—get to watch the story unfold in the user sessions, which creates the conflict and tension in the current design by surfacing their highs and lows. And in turn, this can encourage stakeholders to take action on the issues raised.

    Act three: resolution

    The third act is about resolving the issues from the first two acts, while the first two acts are about understanding the background and the tensions that can compel stakeholders to take action. While it’s important to have an audience for the first two acts, it’s crucial that they stick around for the final act. That includes all members of the product team, including developers, UX experts, business analysts, delivery managers, product managers, and any other interested parties. It allows the whole team to hear users ‘ feedback together, ask questions, and discuss what’s possible within the project’s constraints. And it gives the UX design and research teams more time to clarify, suggest alternatives, or provide more context for their choices. So you can get everyone on the same page and get agreement on the way forward.

    This act is primarily told through voiceover with some audience participation. The researcher is the narrator, who paints a picture of the issues and what the future of the product could look like given the things that the team has learned. They offer the stakeholders their suggestions and suggestions for how to create this vision.

    Nancy Duarte in the Harvard Business Review offers an approach to structuring presentations that follow a persuasive story. The most effective presenters” set up a conflict that needs to be resolved” using the same methods as great storytellers, Duarte writes. ” That tension helps them persuade the audience to adopt a new mindset or behave differently”.

    This type of structure aligns well with research results, and particularly results from usability tests. It provides proof for “what is “—the issues you’ve identified. And “what could be “—your recommendations on how to address them. And so forth.

    You can reinforce your recommendations with examples of things that competitors are doing that could address these issues or with examples where competitors are gaining an edge. Or they can be visual, like quick sketches of how a new design could function to solve a problem. These can help generate conversation and momentum. And this continues until the session is over, when you’ve concluded by bridging the gaps and offering suggestions for improvement. This is the part where you reiterate the main themes or problems and what they mean for the product—the denouement of the story. This stage provides stakeholders with the next steps and, hoped, the motivation to take those steps!

    While we are nearly at the end of this story, let’s reflect on the idea that user research is storytelling. The three-act structure of user research contains all the components for a good story:

      Act one: You meet the protagonists ( the users ) and the antagonists ( the problems affecting users ). This is the plot’s beginning. In act one, researchers might use methods including contextual inquiry, ethnography, diary studies, surveys, and analytics. These techniques can produce personas, empathy maps, user journeys, and analytics dashboards.
      Act two: Next, there’s character development. The protagonists encounter problems and difficulties, which they must overcome, and there is conflict and tension. In act two, researchers might use methods including usability testing, competitive benchmarking, and heuristics evaluation. Usability findings reports, UX strategy documents, usability guidelines, and best practices can be included in the output of these.
      Act three: The protagonists triumph and you see what a better future looks like. Researchers may use techniques like presentation decks, storytelling, and digital media in act three. The output of these can be: presentation decks, video clips, audio clips, and pictures.

    The researcher plays a variety of roles, including producer, director, and storyteller. The participants have a small role, but they are significant characters ( in the research ). And the audience are the stakeholders. But the most important thing is to get the story right and to use storytelling to tell users ‘ stories through research. By the end, the parties should have a goal and a desire to solve the product’s flaws.

    So the next time that you’re planning research with clients or you’re speaking to stakeholders about research that you’ve done, think about how you can weave in some storytelling. In the end, user research is beneficial for everyone, and all you need to do is pique stakeholders ‘ interest in how the story ends.

  • From Beta to Bedrock: Build Products that Stick.

    From Beta to Bedrock: Build Products that Stick.

    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 my area of expertise, 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 is a formula for disaster. Why? How’s why:

    The perils of feature-first growth

    It’s simple to get swept up in the enthusiasm of developing innovative features when you start developing a financial product from scratch or are migrating existing client journeys from papers or telephony channels to online bank or mobile apps. They may think,” If I may only add one more thing that solves this particular person problem, they’ll enjoy me”! What happens, however, when you eventually encounter a roadblock caused by your security team? not like it? When a difficult-fought film fails to win over viewers or fails due to unanticipated difficulty?

    The concept of Minimum Viable Product ( MVP ) comes into play in this area. Even if Jason Fried doesn’t usually refer to this concept, his book Getting Real and his audio Redo frequently discuss it. An MVP is a product that offers only enough value 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 funding apps is that they frequently turn out to be reflections of the company’s internal politics rather than an experience created exclusively 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 is a better strategy, then? How can we create products that are reliable, user-friendly, 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. The foundation of value and relevance over time is built upon it.

    The bedrock must be in and around the regular servicing journeys in the retail banking industry, which is where I work. People only look at their current account once every blue moon, but they do so every day. They purchase a credit card every year or every other year, but they at least once a month check their balance and pay their bills.

    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 incrementally toward a clear value proposition. This means avoiding unnecessary features and putting your users first, and adding real value.

    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”? For whom? Make sure your goal is unmistakable before beginning any work. Make sure it also aligns 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. When it comes to financial products, simplicity is often more important than complexity. Eliminate unnecessary details and concentrate solely on what matters most.
    4. Accept continuous iteration as Bedrock is a dynamic process rather than a fixed destination. Continuously collect user feedback, improve your product, and work toward that foundational state.
    5. Stop, look, and listen: You must test your product frequently in the field rather than just as part of the delivery process. Use it for yourself. Run A/B tests. User feedback on Gatter. Talk to the users of it 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. But the payoff is worthwhile: 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 journey to bedrock, then? Take it slowly. Start by identifying the underlying factors that your users actually care about. Focus 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.

  • An Holistic Framework for Shared Design Leadership

    An Holistic Framework for Shared Design Leadership

    Imagine this: Two people are conversing in what appears to be the same pattern issue in a conference room at your software company. One is talking about whether the staff has the proper skills to handle it. The various examines whether the answer really addresses the user’s issue. Similar room, the same issue, and entirely various 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.

    The conventional solution has been to create clear traces on an organizational chart. The Design Manager handles persons, the Lead Designer handles art. Best, problem is fixed, best? 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.

    A Healthy Design Team’s Biology

    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 design manager has a focus on the internal safety, career advancement, team dynamics, and other aspects. 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 person, you can’t have a healthier person. The technique is to recognize those overlaps and how to understand 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.

    Folks & Psychology: The Nervous System

    Major custodian: Design Manager
    Supporting position: Direct Artist

    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 caretaker is around, the Design Manager. They are keeping track of the team’s emotional state, making sure feedback loops are good, and creating the environment for growth. They’re hosting job meetings, managing task, and making sure no single burns out.

    However, a significant encouraging role is played by the Lead Designer. They provide 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
    • Systematic evaluations and input
    • Providing learning options

    Direct Custom supports by:

    • Giving craft-specific evaluation of staff member growth
    • identifying opportunities for growth and style talent gaps
    • Providing design mentoring and assistance
    • indicating when staff members are prepared for more challenging problems.

    The Muscular System: Design, Design, and Execution

    Major caregiver: Lead Designer
    Design Manager supporting part

    Power, coordination, and skill development are the hallmarks of the skeletal system. 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, such as ensuring that an athlete receives proper nutrition and recovery time.

    Lead Designer tends to:

    • Definition of system requirements and design standards
    • Feedback on design work that meets the required standards
    • Experience direction for the product
    • Design choices and product-wide alignment
    • 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 the right direction is being used is being done
    • 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.

    How do decisions, energy, and information flow through the team according to the circulatory system? When this system is healthy, strategic direction is clear, priorities are aligned, and the team can respond quickly to new opportunities or challenges.

    This is the true partnership that occurs. Although both positions bring unique perspectives, keeping the circulation strong is a dual responsibility.

    Lead Designer contributes:

    • The product fulfills the user’s needs.
    • overall experience and product quality
    • Strategic design initiatives
    • User requirements for each initiative are based on research.

    Contributes the design manager:

    • Communication to team and stakeholders
    • Stakeholder management and alignment
    • Team accountability across all levels
    • Strategic business initiatives

    Both parties work together on:

    • Co-creation of strategy and 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 security. 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 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 wholesome 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.”

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

    Handle Handoffs Gracefully

    When something switches from one system to another, this partnership’s most crucial moments occur. 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 a particular craft system ( muscular system ) rollout.

    Make these transitions explicit. The new component standards have been defined. Can you give me some ideas for 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 original and avoid being a tourist.

    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. Great design leadership requires both parties to be concerned with the entire organism, even when they are not the primary caregiver.

    Rather than making assumptions, one must ask questions. ” 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

    Even with clear roles, this partnership can go wrong. Which failure modes are the most prevalent in my experience:

    System Isolation

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

    The signs: Team members receive conflicting messages, work conditions suffer, and morale declines.

    Reconnect around common goals in the treatment. What are you both trying to achieve? It’s typically excellent design work that arrives on time from a capable 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 symptoms 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? When? 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. The entire team suffers when one system fails. The team thrives when both systems are healthy.

    The Payoff

    Yes, there is more communication required with this model. Yes, both parties must 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.

    The best of both worlds can be found in strong people leadership and deep craft expertise when both roles are healthy and effective together. When one person is ill, taking a vacation, or overburdened, the other can support 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.

    The framework has a balance, which is crucial. 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 ).

    Bottom Line

    The relationship between a Design Manager and Lead Designer isn’t about dividing territories. Multipliering impact is what is concerned with. Magic occurs when both roles realize they are tending to various aspects of the same healthy organism.

    The mind and body work together. The team benefits from both strategic thinking and craftmanship. And most importantly, users benefit from both perspectives when they receive the work.

    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.

  • Primate Review: Killer Chimp Movie Is Bananas

    Primate Review: Killer Chimp Movie Is Bananas

    According to some schools of thought, the scariest 43 seconds of Nope by Jordan Peele were recorded during a chimpanzee’s first encounter with a monkey. If you’re of that persuasion, next Johannes Roberts ‘ Animal offers a terrible growth of that dread to function size, now with the gory bits methodically filled in. ]…

    The second article on Den of Geek was Primal Review: The Killer Chimp Movie Is Bananas.

    In the 1990s, America had no rivals. So we had to create fresh people.

    Okay, that’s a very simplistic way to look at the Clinton time, and there was undoubtedly suffering both within and outside of the nation’s borders. But there&#8217, s no denying that the U. S. embraced an End of History philosophy, the belief that American democracy and free-market capitalism had become the top of society.

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    However, Americans weren’t done with poor guys because good stories necessitate good conflicts. Instead of outside, obvious risks, we told tales about underground bad men, hidden horrors lurking within our schools, our neighborhoods, and our governments. The anxious political thrillers of the 1970s were big, bright, and frequently impossible, fitting for a universe that desired to consider all conflicts had been won. The spontaneity of Watergate and the dark aesthetics of the New Hollywood movements kept them grounded in some sort of reality.

    This isn’t a terrible point, to be sure. But questionable their origins, many of the decade&#8217, s anxious thrillers are exceptional movies, the type of clever, crowd-pleasing blockbusters that we don&#8217, t usually get again. So let’s take a look at some of the standout films that made us look over our shoulders thirty years ago.

    The Hunt for Red October ( 1990 )

    Owing to its origin as a 1984 novel that Tom Clancy published with the Navel Institute Press, The Hunt for Red October is very much a product of the Cold War. By the time the 1990 film adaptation starring John McTiernan was released, The Berlin Wall was in place. However, the story of CIA analyst Jack Ryan ( Alec Baldwin ) attempting to stop a Soviet sub-capitol ( Sean Connery ) before his countrymen can catch them is told.

    As with the source novel, The Hunt for Red October treats the U. S. government as largely good and the USSR as largely bad. Even when those secrets involve the transportation of weapons of mass destruction, the movie still features governments keeping secrets from their citizens.

    Star Trek VI: The Undiscovered Country ( 1991 )

    Despite the presence of Iowa’s favorite son James T. Kirk, Star Trek VI: The Undiscovered Country isn’t about the United States of America. Not directly related to the US, I suppose. However, Mikhail Gorbachev’s early negotiations with the United Federation of Planets and the Klingon Empire serve as an analogy for the U.S. and USSR.

    The Undiscovered Country bids farewell to the Original Series crew by sending them on an adventure to uncover attempts to sabotage peace talks between the Federation and the Klingons. Although Kirk’s own animosity toward Qo&#8217, noS presents a challenge, he doesn’t nearly go as far as a trio of Starfleet admirals who try to keep hostilities at bay.

    JFK ( 1991 )

    The assassination of John Fitzgerald Kennedy has captured the American imagination ever since the 35th president was murdered in 1963. Oliver Stone should be able to show the numerous layers of narrative and theory surrounding the assassination on screen.

    Kevin Costner, an all-star in JFK, portrays district attorney Jim Garrison in the role of Kennedy’s death. As he uncovers more information, the more convinced he is that Kennedy &#8217, s death was the result of a conspiracy. We viewers are only more perplexed by the preponderance of plot and information, which is made more confusing by an all-star cast that includes Tommy Lee Jones, Kevin Bacon, Gary Oldman, and more.

    Mission: Impossible ( 1996 )

    Way back before the franchise became about a billionaire doing incredible stunts and risking his life for our entertainment, Mission: Impossible was about spies who went on secret missions. Ethan Hunt ( Tom Cruise ) was tasked with finding a list of IMF agents in the original film, which was directed by Brian De Palma.

    A plot that leaves Hunt &#8217, his team dead and sends the agent on the run surrounds the movie. By this point, the final reveal that the TV series &#8217, protagonist Jim Phelps ( Jon Voight, stepping in for original actor Peter Graves ) is the big bad is no surprise. However, that doesn’t make Mission: Impossible‘s complicated plots simple to understand, and confusing plots are a real hallmark of a conspiracy thriller.

    Conspiracy Theory ( 1997 )

    As one might guess from its blunt title, Conspiracy Theory is n&#8217, t the most complex film on this list. Conspiracy Theory, which was written by action legend Richard Donner, stars Mel Gibson as Jerry, a troubled cabbie who rambles about telling tales of thorny governments. Turns out Jerry is correct, and Patrick Stewart‘s portrayal of Dr. Jonas ‘ evil Dr. is drew the attention of secret agents.

    Conspiracy Theory has its twists, but it &#8217, s clear that Donner just uses the tropes as set dressing. He instead concentrates more on a traditional thriller, with a love story between Jerry and a gorgeous lawyer played by Julia Roberts. However, that is not a criticism because Donner has more room to create some enjoyable sequences thanks to the more straightforward narrative.

    Absolute Power ( 1997 )

    Two movies about a murder involving the President of the United States, Absolute Power, starring Clint Eastwood as a cat burglar who sees the president ( Gene Hackman ) kill a billionaire’s wife, and Murder at 1600, starring a homicide detective ( Wesley Snipes ), were perhaps inspired by the Whitewater scandal surrounding the Clinton administration.

    Absolute Power is the superior movie between the two, not necessarily because it is more respectable. It&#8217, s just as pulpy and outrageous as its slightly younger brother. However, seasoned screenwriter William Goldman has the ability to make a blockbuster shine, and Eastwood, who was a director, had not yet developed the self-seriousness that hampered his filmmaking career in the second half. Absolute Power is thus a pleasant bit of silliness.

    Mercury Rising ( 1998 )

    On the one hand, Mercury Rising portrays autism in a way that makes Rain Main appear well-researched and nuanced. Young actor Miko Hughes is asked to play preteen Simon in broad, embarrassing gestures as an NSA agent who breaks a secret code that is embedded in a magazine.

    However, anyone who can forgive that colossal misstep will find Mercury Rising to be an enjoyable thriller, anchored by prime Bruce Willis as FBI agent Art Jeffries. Jeffries becomes the boy’s reluctant caretaker when the NSA sends agents to kill Simon and stop the code&#8217, leak. Director Harold Becker, who is based on a script by Lawrence Konner and Mark Rosenthal, doesn’t reinvent the wheel, but Mercury Rising hits all the right crowd-pleasing notes, dumb science and all.

    The X-Files ( 1998 )

    Although each of these films is compelling, television, specifically the Fox series The X-Files, was the true center of 1990s conspiracy thought, not the theaters. The X-Files movie, which premieres between seasons five and six of the series, continues the show’s overarching narrative about the United States government &#8217, collusion with alien overlords, which FBI agents Fox Mulder ( David Duchovny ) and Dana Scully ( Gillian Anderson ) have been looking for throughout the series.

    As much fun as it is to see regulars like Skinner ( Mitch Pileggi) and the Cigarette-Smoking Man ( William B. Davis ) on the big screen, the movie fails to realize a truth of the series: the mythology episodes were never as good as the monster-of-the-week episodes. The X-Files feels more like a mediocre episode of the show than a major film event when you factor in creator Chris Carter, sloppy screenwriting, and direction from director Rob Bowman.

    Enemy of the State ( 2000 )

    In 1974, Gene Hackman perfectly embodied the paranoid mind as surveillance expert Harry Caul in Francis Ford Coppola&#8216, s The Conversation. In the Tony Scott film Enemy of the State, Hackman plays a similar role. Once more, Hackman, the secretive man known only as &#8220, Brill, and &#8221, wears Caul&#8217, thick glasses, and brown slicker, and his character makes enough oblique references to the past to give the impression that he is actually Caul, who is now operating under a different name.

    Yet, the more Enemy of the State tries to draw similarities to The Conversation, the more it points out differences. To be clear, it’s not a bad thing that the more recent movie, which stars Will Smith as a lawyer caught up in a government conspiracy, is more glamorous and exciting than Coppola’s mediative character drama. Enemy of the State only serves as an example of how paranoia was more prevalent and prevalent in the Clinton era.

    Arlington Road ( 1999 )

    The domestic terror depicted in Arlington Road lasted for a long time before the monumental events of September 11, which took place just two years after the movie’s release. Arlington Road has regained its immediateness that it hasn’t had since it first appeared in theaters with the rise of domestic terror.

    Directed by Mark Pellington and written by Ehren Kruger, Arlington Road features Jeff Bridges as a Georgetown professor who begins to suspect his wholesome new neighbors ( Tim Robbins and Joan Cusack ) aren&#8217, t what they seem. Arlington Road gets a lot of mileage out of its cast, despite being frequently simplistic in its depiction of terror and becoming far too dependent on Bridges ‘ lectures to elaborate on the film’s themes.

    The first post on Den of Geek was The Essential Paranoid Political Thrillers of the &#8217, 90s.

  • Asynchronous Design Critique: Giving Feedback

    Asynchronous Design Critique: Giving Feedback

    One of the most successful soft skills we have at our disposal is feedback, in whatever form it takes, and whatever it may be called. It helps us collaborate to improve our designs while developing our own abilities and perspectives.

    Feedback is also one of the most underestimated equipment, and generally by assuming that we’re now great at it, we settle, forgetting that it’s a skill that can be trained, grown, and improved. Bad opinions can lead to conflict in projects, lower morale, and long-term, undermine trust and teamwork. Quality opinions can be a revolutionary force.

    Practicing our knowledge is absolutely a good way to enhance, but the learning gets yet faster when it’s paired with a good base that programs and focuses the exercise. What are some fundamental components of providing effective opinions? And how can comments be adjusted for rural and distributed job settings?

    We can find a long history of sequential comments on the web: code was written and discussed on mailing lists since the beginning of open source. Currently, engineers engage on pull calls, developers post in their favourite design tools, project managers and sprint masters exchange ideas on tickets, and so on.

    Design analysis is often the label used for a type of input that’s provided to make our job better, jointly. It generally shares many of the concepts with suggestions, but it also has some differences.

    The material

    The material of the feedback serves as the foundation for every effective criticism, so we need to start there. There are many designs that you can use to form your content. The one that I personally like best—because it’s obvious and actionable—is this one from Lara Hogan.

    This equation, which is typically used to provide feedback to users, even fits really well in a design critique because it finally addresses one of the main issues that we address: What? Where? Why? How? Imagine that you’re giving some comments about some pattern function that spans several screens, like an onboard movement: there are some pages shown, a stream blueprint, and an outline of the decisions made. You notice anything that needs to be improved. If you keep the three components of the equation in mind, you’ll have a mental unit that can help you become more precise and effective.

    Here is a reply that could be included in some feedback, and it might appear fair at first glance because it appears to merely fit the equation. But does it?

    Not confident about the keys ‘ patterns and hierarchy—it feels off. May you alter them?

    Observation for style feedback doesn’t simply mean pointing out which part of the software your input refers to, but it also refers to offering a viewpoint that’s as specific as possible. Do you offer the user’s viewpoint? Your expert perspective? A business perspective? The perspective of the project manager A first-time user’s perspective?

    I anticipate one to go forward and the other to go back when I see these two buttons.

    Impact is about the why. Just pointing out a UI element might sometimes be enough if the issue may be obvious, but more often than not, you should add an explanation of what you’re pointing out.

    I anticipate one to go forward and the other to go back when I see these two buttons. But this is the only screen where this happens, as before we just used a single button and an “×” to close. This seems to be breaking the consistency in the flow.

    The question approach is meant to provide open guidance by eliciting the critical thinking in the designer receiving the feedback. Notably, in Lara’s equation she provides a second approach: request, which instead provides guidance toward a specific solution. While that’s a viable option for feedback in general, in my experience, going back to the question approach typically leads to the best solutions because designers are generally more at ease in being given an open space to explore.

    The difference between the two can be exemplified with, for the question approach:

    I anticipate one to go forward and the other to go back when I see these two buttons. But this is the only screen where this happens, as before we just used a single button and an “×” to close. This seems to be breaking the consistency in the flow. Would it make sense to unify them?

    Or, for the request approach:

    I anticipate one to go forward and the other to go back when I see these two buttons. But this is the only screen where this happens, as before we just used a single button and an “×” to close. This seems to be breaking the consistency in the flow. Let’s make sure that all screens have the same pair of forward and back buttons.

    At this point in some situations, it might be useful to integrate with an extra why: why you consider the given suggestion to be better.

    I anticipate one to go forward and the other to go back when I see these two buttons. But this is the only screen where this happens, as before we just used a single button and an “×” to close. This seems to be breaking the consistency in the flow. Let’s make sure that all screens have the same two forward and back buttons so that users don’t get confused.

    Choosing the question approach or the request approach can also at times be a matter of personal preference. I did rounds of anonymous feedback and I reviewed feedback with other people a while back when I was putting a lot of effort into improving my feedback. After a few rounds of this work and a year later, I got a positive response: my feedback came across as effective and grounded. Until I changed teams. Surprise surprise, one particular person gave me a lot of negative feedback. The reason is that I had previously tried not to be prescriptive in my advice—because the people who I was previously working with preferred the open-ended question format over the request style of suggestions. However, there was a person in this other team who had always preferred specific guidance. So I adapted my feedback for them to include requests.

    One comment that I heard come up a few times is that this kind of feedback is quite long, and it doesn’t seem very efficient. Yes, but also no. Let’s explore both sides.

    No, this kind of feedback is effective because the length is a byproduct of clarity, and giving this kind of feedback can provide precisely enough information for a sound fix. Also if we zoom out, it can reduce future back-and-forth conversations and misunderstandings, improving the overall efficiency and effectiveness of collaboration beyond the single comment. Imagine that in the example above the feedback were instead just,” Let’s make sure that all screens have the same two forward and back buttons”. Since the designer receiving this feedback wouldn’t have much to go by, they might just make the change. In later iterations, the interface might change or they might introduce new features—and maybe that change might not make sense anymore. Without explaining the why, the designer might assume that the change is one of consistency, but what if it wasn’t? So there could now be an underlying concern that changing the buttons would be perceived as a regression.

    Yes, this style of feedback is not always efficient because the points in some comments don’t always need to be exhaustive, sometimes because certain changes may be obvious (” The font used doesn’t follow our guidelines” ) and sometimes because the team may have a lot of internal knowledge such that some of the whys may be implied.

    The equation above is not intended to provide a predetermined template for feedback, but rather a mnemonic to reflect and enhance the practice. Even after years of active work on my critiques, I still from time to time go back to this formula and reflect on whether what I just wrote is effective.

    The tone

    Well-grounded content is the foundation of feedback, but that’s not really enough. The soft skills of the person who’s providing the critique can multiply the likelihood that the feedback will be well received and understood. It has been demonstrated that only positive feedback can lead to sustained change in people, and tone alone can determine whether content is rejected or welcomed.

    Since our goal is to be understood and to have a positive working environment, tone is essential to work on. I’ve tried to summarize the necessary soft skills over the years using a formula that resembles the one for content: the receptivity equation.

    Respectful feedback comes across as grounded, solid, and constructive. It’s the kind of feedback that, whether it’s positive or negative, is perceived as useful and fair.

    Timing refers to the moment when the feedback occurs. To-the-point feedback doesn’t have much hope of being well received if it’s given at the wrong time. When a new feature’s entire high-level information architecture is about to go live, it might still be relevant if the questioning raises a significant blocker that no one saw, but those concerns are much more likely to have to wait for a later revision. So in general, attune your feedback to the stage of the project. Early iteration? Iteration later? Polishing work in progress? Each of these needs varies. The right timing will make it more likely that your feedback will be well received.

    Attitude is the equivalent of intent, and in the context of person-to-person feedback, it can be referred to as radical candor. That entails checking before writing to see if what we have in mind will actually help the person and improve the project overall. This might be a hard reflection at times because maybe we don’t want to admit that we don’t really appreciate that person. Although it’s possible, and that’s okay, it’s hoped not to be the case. Acknowledging and owning that can help you make up for that: how would I write if I really cared about them? How can I avoid being passive aggressive? What can I do to encourage constructive behavior?

    Form is relevant especially in a diverse and cross-cultural work environments because having great content, perfect timing, and the right attitude might not come across if the way that we write creates misunderstandings. There could be many reasons for this: some words might cause particular reactions, some non-native speakers might not understand all the nuances of some sentences, and other times our brains might be different and we might perceive the world differently. Neurodiversity must be taken into account. Whatever the reason, it’s important to review not just what we write but how.

    A few years back, I was asking for some feedback on how I give feedback. I was given some sound advice, but I also got a surprise comment. They pointed out that when I wrote” Oh, ]… ]”, I made them feel stupid. That wasn’t my intention at all! I felt really bad, and I just realized that I provided feedback to them for months, and every time I might have made them feel stupid. I was horrified … but also thankful. I quickly changed my situation by adding “oh” to my list of replaced words (your choice between aText, TextExpander, or others ) so that when I typed “oh,” it was immediately deleted.

    Something to highlight because it’s quite frequent—especially in teams that have a strong group spirit—is that people tend to beat around the bush. It’s important to keep in mind that having a positive attitude doesn’t necessarily mean passing judgment on the feedback; rather, it simply means that you give it constructive and respectful feedback, whether it be difficult or positive. The nicest thing that you can do for someone is to help them grow.

    We have a great advantage in giving feedback in written form: it can be reviewed by another person who isn’t directly involved, which can help to reduce or remove any bias that might be there. When I shared a comment with someone I knew,” How does this sound,”” How can I do it better,” or even” How would you have written it,” I discovered that the two versions had different meanings.

    The format

    Asynchronous feedback also has a significant inherent benefit: it allows us to spend more time making sure that the suggestions ‘ clarity and actionability meet two main objectives.

    Let’s imagine that someone shared a design iteration for a project. You are reviewing it and leaving a comment. There are many ways to accomplish this, and context is of course important, but let’s try to think about some things that might be worthwhile to take into account.

    In terms of clarity, start by grounding the critique that you’re about to give by providing context. This includes specifically describing where you’re coming from: do you have a thorough understanding of the project, or is this your first time seeing it? Are you coming from a high-level perspective, or are you figuring out the details? Are there regressions? Which user’s point of view are you addressing when offering feedback? Is the design iteration at a point where it would be okay to ship this, or are there major things that need to be addressed first?

    Even if you’re giving feedback to a team that already has some background information on the project, providing context is helpful. And context is absolutely essential when giving cross-team feedback. If I were to review a design that might be indirectly related to my work, and if I had no knowledge about how the project arrived at that point, I would say so, highlighting my take as external.

    We frequently concentrate on the negatives and attempt to list every possible improvement. That’s of course important, but it’s just as important—if not more—to focus on the positives, especially if you saw progress from the previous iteration. Although this may seem superfluous, it’s important to keep in mind that design is a field with hundreds of possible solutions for each problem. So pointing out that the design solution that was chosen is good and explaining why it’s good has two major benefits: it confirms that the approach taken was solid, and it helps to ground your negative feedback. In the longer term, sharing positive feedback can help prevent regressions on things that are going well because those things will have been highlighted as important. Positive feedback can also help, as an added bonus, prevent impostor syndrome.

    There’s one powerful approach that combines both context and a focus on the positives: frame how the design is better than the status quo ( compared to a previous iteration, competitors, or benchmarks ) and why, and then on that foundation, you can add what could be improved. This is powerful because there is a big difference between a critique of a design that is already in good shape and one that is critiqued for a design that isn’t quite there yet.

    Another way that you can improve your feedback is to depersonalize the feedback: the comments should always be about the work, never about the person who made it. It’s” This button isn’t well aligned” versus” You haven’t aligned this button well”. Just before sending, review your writing to make changes to this.

    In terms of actionability, one of the best approaches to help the designer who’s reading through your feedback is to split it into bullet points or paragraphs, which are easier to review and analyze one by one. You might also think about breaking up the feedback into sections or even across multiple comments if it is longer. Of course, adding screenshots or signifying markers of the specific part of the interface you’re referring to can also be especially useful.

    One approach that I’ve personally used effectively in some contexts is to enhance the bullet points with four markers using emojis. A red square indicates that it is something I consider blocking, a yellow diamond indicates that it needs to be changed, and a green circle provides a thorough, positive confirmation. I also use a blue spiral � � for either something that I’m not sure about, an exploration, an open alternative, or just a note. However, I’d only use this strategy on teams where I’ve already established a high level of trust because it might turn out to be quite demoralizing if I deliver a lot of red squares and change how I communicate that.

    Let’s see how this would work by reusing the example that we used earlier as the first bullet point in this list:

    • 🔶 Navigation—I anticipate one to go forward and the other to go back when I see these two buttons. But this is the only screen where this happens, as before we just used a single button and an “×” to close. This seems to be breaking the consistency in the flow. Let’s make sure that all screens have the same two forward and back buttons so that users don’t get confused.
    • � � Overall— I think the page is solid, and this is good enough to be our release candidate for a version 1.0.
    • � � Metrics—Good improvement in the buttons on the metrics area, the improved contrast and new focus style make them more accessible.
    • Button Style: Using the green accent in this context, which conveys that it is a positive action because green is typically seen as a confirmation color. Do we need to explore a different color?
    • Tiles—It seems to me that the tiles should use the Subtitle 2 style rather than the Subtitle 1 style given the number of items on the page and the overall page hierarchy. This will keep the visual hierarchy more consistent.
    • � � Background—Using a light texture works well, but I wonder whether it adds too much noise in this kind of page. What is the purpose of using that?

    What about giving feedback directly in Figma or another design tool that allows in-place feedback? These are generally difficult to use because they conceal discussions and are harder to follow, but in the right setting, they can be very effective. Just make sure that each of the comments is separate so that it’s easier to match each discussion to a single task, similar to the idea of splitting mentioned above.

    One final note: say the obvious. Sometimes we might feel that something is clearly right or wrong, and we don’t say it. Or sometimes we might have a doubt that we don’t express because the question might sound stupid. Say it, that’s fine. You might have to reword it a little bit to make the reader feel more comfortable, but don’t hold it back. Good feedback is transparent, even when it may be obvious.

    Another benefit of asynchronous feedback is that written feedback automatically monitors decisions. Especially in large projects,” Why did we do this”? there’s nothing better than open, transparent discussions that can be reviewed at any time, and this could be a question that arises from time to time. For this reason, I recommend using software that saves these discussions, without hiding them once they are resolved.

    Content, tone, and format. Although each of these subjects offers a useful model, focusing on improving eight of the subjects ‘ focus points, including observation, impact, question, timing, attitude, form, clarity, and actionability, is a lot of work to complete at once. One effective approach is to take them one by one: first identify the area that you lack the most (either from your perspective or from feedback from others ) and start there. Then the third, the third, and so on. At first you’ll have to put in extra time for every piece of feedback that you give, but after a while, it’ll become second nature, and your impact on the work will multiply.

    Thanks to Brie Anne Demkiw and Mike Shelton for reviewing the first draft of this article.