Blog

  • 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 important value? Or a surgeon’s? Or a student’s? They all have excellent sounding voices. 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 section.

    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: The Tale of Justin

    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 most intrigued me was how these traditional skills could be applied to a young modern landscape. This style would eventually form the rest of my profession.

    So I devoured 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 design 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 were the guidelines? 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 amazing 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 in terms of visualizing how the idea of a living sketchbook was conveyed. 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 accept Tweet-sized, small-format versions 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 as designers had changed and developed a bandwidth-sensitive, award-winning, much more accessibility-conscious website. Still ripe with experimentation, yet more mindful of equitable engagement. There are a few content panes here, with both Mac-focused news and general news (tech, design ) to be seen. 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 of the website’s backbone was made up of global design + illustration + news author collaboration. The backbone 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 the” Wild West” era of design that so many personal portfolio and design portals sprang from the past. Ultra-finely detailed pixel art UI, custom illustration, bespoke vector graphics, all underpinned by a strong design community.

    The web design industry has been in a state of stagnation right now. 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 an icon library is used with selections that only vaguely relate to their respective content is used.

    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 this is Mac OS 7.5, 8 and 9 aren’t all that different.

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

    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 to research and do my homework. 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. I was thrown the digital gauntlet, and that challenge fueled my determination. 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 endeavor. 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. With its pixel art-fueled presentation, attention to detail paid to every aspect of every detail, and many of the more well-known designers of the time who were invited to be news authors on the site, well… it was the place to be, my friend. 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 figured out that I was one of their very limited group of news writers who could contribute content to the website.

    Amongst my personal work and side projects —and now with this inclusion—in the design community, this put me on the map. My design work has also begun to appear on other design news portals, as well as in publications abroad and domestically as well as 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. They inflated my ego. I actually felt somewhat superior to my fellow designers.

    The casualties? My design stagnated. My evolution has stagnated, as is my evolution.

    I felt so supremely confident in my abilities that I effectively stopped researching and discovering. When my first instinct was to sketch concepts or iterate ideas in lead, I instead leaped right into Photoshop. I drew my inspiration from the smallest of sources ( and with blinders on ). My peers frequently vehemently disapproved of any criticism of my work. The most tragic loss: I had lost touch with my values.

    Some of my friendships and blossoming professional relationships almost ended up being destroyed by my ego. I was toxic in talking about design and in collaboration. But thankfully, candor was a gift from those same friends. They called me out on my unhealthy behavior.

    Although it was something I initially rejected, I eventually had a chance to reflect on it in depth. I was soon able to accept, and process, and course correct. Although the realization made me feel uneasy, the re-awakening was necessary. 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 regression, I was able to advance in both my personal and professional design. And I could self-reflect as I got older to facilitate further growth and course correction as needed.

    Let’s take 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 often regarded as works of art by themselves because they depict what is actually happening inside the Collider during any given particle collision event.

    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, their language and the topics they discussed seemed foreign. 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, where I observed 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 could read through a lot of data at once and relieve their strain in the process. 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. I checked my ego before entering those values, which opened the door for those values.

    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 particular in that statement. If we are always students of our craft, we are also continually making ourselves available to evolve. Yes, we have years of practical design experience behind us. Or the focused lab sessions from a UX bootcamp. Or the monogrammed portfolio of our creative 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 artist we can be will never be there.

  • I am a creative.

    I am a creative.

    I am imaginative. Alchemy is what I do. It’s a puzzle. I don’t perform it as much as I let it be done by me.

    I am imaginative. Certainly all creative people approve of this brand. Not all people see themselves in this manner. Some innovative individuals incorporate technology into their work. I value their assertion, which is true. Perhaps I also have a little bit of fear for them. However, my staying and approach are different.

    Apologizing and qualifying in progress is a diversion. That’s what my mind does to destroy me. I’ll leave it alone for today. I may regret and then qualify. After I’ve said what I should have. Which is too difficult.

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

    Sometimes it does. Maybe what I need to make arrives right away. I’ve learned to avoid saying it right away because people think you don’t work hard enough when you know it’s the best idea when you’re on the go and you know it’s the best idea.

    Maybe I just keep working until the thought strikes me. Maybe it arrives right away, but I don’t remind people for three days. Sometimes I get so excited about an thought that just came along that I blurt it out and didn’t stop myself. like a child who discovered a prize in one of his Cracker Jacks. I occasionally manage to escape this. Yes, that is the best plan, per some observers. The majority of the time, they don’t, and I regret that joy has faded.

    Passion should only be saved for the meet, when it matters. Certainly the informal get-together that comes before that meeting with two more meetings. Nobody understands why these discussions occur. We keep saying we’re going to get rid of them, but we end up really trying to. They occasionally yet excel. But occasionally they detract from the actual 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. I’ll go over it once more. I am imaginative. That is the topic.

    Often, a lot of diligent and individual work ends up with something that is rarely useful. Maybe I have to take that and move on to the next task.

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

    I am imaginative. My dreams are not in my power. And I have no control over my best tips.

    I can nail ahead, fill in the blanks, or use images or information, which occasionally works. Often going for a walk is what I may do. There is no connection between sizzling fuel and flowing pots, and I may be making dinner. I frequently know what to do when I awaken. The idea that may have saved me disappears almost as frequently as I become aware and part of the world once more in a senseless wind of oblivion. For imagination, in my opinion, comes from that other planet. the one that we enter in ambitions and, possibly, before and after suicide. I’m not a writer, so that’s up to writers to think about. I am imaginative. Theologians should circulate mass armies throughout their artistic globe, which they claim to be true. But that is yet another diversion. And it’s miserable. Possibly on a much bigger issue than whether or not I am creative. But that’s also a step backwards from what I’m trying to say.

    Often the result is evasion. also suffering. Do you know the actor who is tortured by the cliché? Even when the artist is trying to write a soft drink song, a call in a worn-out comedy, or a budget ask, that word is correct.

    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. Yours is also real. But I should take care of me.

    Designers are recognized as artists.

    Disadvantages are aware of cons, just like queers are aware of queers, just like real rappers are aware of actual rappers. People have a lot of regard for designers. We respect, follow, and nearly deify the excellent ones. Of course, it is dreadful to revere any person. We have been given warning. We are more knowledgeable. We are aware of this. 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 something incredible. They give birth to something that was unable to occur before them or otherwise. They are the inspirations ‘ mother. And I suppose I should add that they are the mother of technology because it’s just lying it. Bad mee backside! Okay, that’s all done. Continue.

    Because we compare our personal small accomplishments to those of the great ones, designers denigrate them. Wonderful graphics I‘m not Miyazaki, so I‘m not. Greatness is then that. That is glory straight out of the mouth of God. This unsatisfied small thing I created? It essentially fell off the turnip trailer. The carrots weren’t actually new, either.

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

    I am imaginative. In my hallucinations, my former artistic managers are the ones who judge me because I haven’t worked in advertising in 30 times. And they are correct to do so. When it really matters, my mind 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 to be a retiree snoring in a deck head. The more I pursue my creative endeavors, the faster I progress in my work, and the more I slog through lines and gaze blankly before beginning that task.

    I can move ten times more quickly than those who aren’t innovative, those who have just been creative for a short while, and those who have just had a short time of creative work. Simply that I spend twice as long putting the work 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 fantastic task. I am completely dependent on the excitement scramble of delay. I’m still so scared of jumping.

    I am hardly a painter.

    I am imaginative. hardly a performer. Though as a boy, I had a dream that I would one day become that. Some of us criticize our abilities and fear our own selves 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 word I’ve said these may irritate other artists who see things differently. Ask a question to two designers, and you’ll find three responses. No matter how we does think about it, our debate, our passion for it, and our responsibility to our own truth, at least in my opinion, are the best indications that we are creative.

    I am imaginative. I lament my lack of taste in almost all of the areas of human understanding that I know very little about. And I put my flavor before everything else in the things that are most important to me, or perhaps more precisely, to my passions. Without my passions, I had probably have to spend time staring living in the eye, which almost none of us can do for very long. No actually. No really. Because living is so difficult to handle when you really look at it.

    I am imaginative. I think that when I’m gone, some of the good parts of me will stay in the head of at least one additional person, just like a family does.

    Working frees me from worrying about my job.

    I am imaginative. I fear that my little present 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 brilliance I conceive of.

    I am imaginative. I think that approach is the greatest secret. I think I have to think 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 accomplish 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 was completely moved by Joe Dolson’s current article on the crossroads of AI and availability because I found it to be both skeptical about how widespread use of AI is. 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. As with any device, AI can be used in very positive, equitable, and visible ways, as well as in destructive, unique, and harmful ways. Additionally, there are a lot of uses in the subpar midsection.

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

    Other text

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

    As Joe points out, human-in-the-loop editing of ctrl text should definitely be a factor. And if AI can intervene to provide a starting place for alt text, even if the swift may say What is this BS? That’s not correct at all … Let me try to offer a starting point— I think that’s a win.

    If we can specifically teach a design to consider image usage in context, it might be able to help us more swiftly distinguish between images that are likely to be beautiful and those that are more descriptive. 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 name of the table and the type of visualization it was: Pie table comparing smartphone use to have phone use among US households making under$ 30, 000 annually. ( That would be a pretty bad alt text for a chart because it would frequently leave many unanswered questions about the data, but let’s just assume that that was the description in place. ) If your website knew that that picture was a pie graph ( because an ship model concluded this ), imagine a world where people could ask questions like these about the creative:

    • Do more people use feature phones or smartphones?
    • How many more are there?
    • 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 asked it to separate a single line from a line graph? What if you could ask your browser to transpose the colors of the different lines to work better for form of color blindness you have? What if you could ask it to switch colors for patterns? That seems like a possibility given the chat-based interfaces and our current ability to manipulate images in modern 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 put 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 real potential for algorithm development when these platforms are built with inclusive features in, though.

    Take Mentra, for example. They serve as a network of employment for people who are neurodivers. Based on more than 75 data points, they match job seekers with potential employers using an algorithm. On the job-seeker side of things, it considers each candidate’s strengths, their necessary and preferred workplace accommodations, environmental sensitivities, and so on. On the employer side, it takes into account each work environment, communication 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 the development of 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 followed a group of nondisabled white male academics who spoke about AI, it might be advisable to follow those who are disabled, aren’t white, or aren’t men who also speak about AI. If you followed its advice, you might 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

    I’m sure I could go on and on about using AI to assist people with disabilities, but I’m going to make this last section into a bit of a lightning round if I weren’t trying to put this together in between other tasks. In no particular order:

      Voice preservation You may have been aware of the voice-prescribing options from Microsoft, Acapela, or others, or you may have seen the VALL-E paper or Apple’s announcement for 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 is. 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 recruiting people with Parkinson’s and related conditions, and they intend to expand this to other conditions as the project develops. More people with disabilities will be able to use voice assistants, dictation software, and voice-response services, as well as to use only their voices to control computers and other devices, according to this research.
    • Text transformation. LLMs of the current generation are quite capable of changing text without creating hallucinations. This is incredibly empowering for those who have cognitive disabilities and who may benefit from text summaries or simplified versions, or even text that has been prepared for Bionic Reading.

    The importance of diverse teams and data

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

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

    Want a model that doesn’t speak in ableist language? 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 recommendations that are accessible after the jump? Train it on code that you know to be accessible.


    I have no doubts about how dangerous AI will be for people today, tomorrow, and for the rest of the world. However, I 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.


    Many thanks to Kartik Sawhney for supporting the development of this article, Ashley Bischoff for providing me with invaluable editorial support, 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 everything figured out, everything will change. This is a one piece of advice I can give to friends and family when they become fresh families. 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 those are determined, school and occasional sleeps are in order. 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 equipment, the first period of internet programs started with content-management methods (especially those used in blogs like Blogger, Grey Matter, Movable Type, and WordPress ) In the mid-2000s, AJAX opened doors for asynchronous interaction between the front end and back end. Pages now no longer needed to reload their pages ‘ content. A crop of JavaScript frameworks like Prototype, YUI, and jQuery arose to help developers build more reliable client-side interaction across browsers that had wildly varying levels of standards support. Techniques like image replacement enable the use of fonts by skilled designers and developers. And technologies like Flash made it possible to add animations, games, and even more interactivity.

    These new methods, standards, and technologies greatly reenergized the sector. Web design flourished as designers and developers explored more diverse styles and layouts. However, we still relied on numerous hacks. Early CSS was a huge improvement over table-based layouts when it came to basic layout and text styling, but its limitations at the time meant that designers and developers still relied heavily on images for complex shapes ( such as rounded or angled corners ) and tiled backgrounds for the appearance of full-length columns (among other hacks ). All kinds of nested floats or absolute positioning ( or both ) were necessary for complicated layouts. Flash and image replacement for custom fonts was a great start toward varying the typefaces from the big five, but both hacks introduced accessibility and performance problems. Additionally, JavaScript libraries made it simple 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 also increased in their capabilities, and they gave us access to internet in our pockets at the same time. Mobile apps and responsive design opened up opportunities for new interactions anywhere and any time.

    This fusion of potent mobile devices and potent development tools contributed to the growth of social media and other centralized tools for people to use and interact with. 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 made 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. There are many different ways to create websites, from the tried-and-true classic of hosting plain HTML files to static site generators to content management systems of all kinds. The fracturing of social media also comes with a cost: we lose crucial infrastructure for discovery and connection. The IndieWeb‘s Webmentions, RSS, ActivityPub, and other tools can assist with this, but they’re still largely underdeveloped and difficult to use for the less geeky. We can build amazing personal websites and add to them regularly, but without discovery and connection, it can sometimes feel like we may as well be shouting into the void.

    Especially with efforts like Interop, browser support for CSS, JavaScript, and other standards like web components has increased. 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 has already exceeded 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, as we upgrade and maintain these frameworks, we eventually pay the upfront costs that these frameworks may initially save in terms 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 ), there is frequently no other option, leaving users with 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 choose not to replace them. So what can we do to create the future we want for the web?

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

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

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

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

    Play, experiment, and be weird! The ultimate experiment is this web that we’ve created. It’s the single largest human endeavor in history, and yet each of us can create our own pocket within it. Be brave and 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.

    Go ahead and create.

    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, share it, improve it, re-create it, or create something new. 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 started using a personalization website. Either way, you’re designing with information. 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 repeated pleas for more toilet seats from regular people ). It’s an particularly confusing place to be a modern professional without a map, a map, or a strategy.

    There are no Lonely Planet and some tour guides for those of you who want to personalize because powerful customisation is so dependent on each group’s talent, technology, and market position.

    But you can ensure that your group has packed its carriers 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.

    We refer to it 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 developed, budgeted, and given priority 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.

    So how do you decide where to position your customisation wagers? How do you design regular interactions that hasn’t journey up users or—worse—breed mistrust? We’ve discovered that several budgeted programs second required one or more workshops to join key stakeholders and domestic customers of the technology in order to justify their continuous investments. Create it count.

    We’ve witnessed the same evolution up near with our clients, from big tech to budding 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 tech stack switch-flip. 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 ( such as 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. These cards are not necessary for you. 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 including can ( and frequently do ) last for weeks. 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 engagement as you concentrate on the potential, the readiness and drive of your team, and your leadership.
    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 consists of making it possible for team members to individually pitch their own pilots that each include a proof-of-concept project, business case, and 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 organization. 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. We have a list of these in the cards. 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 ). In our cards, we break down connected experiences into five categories: functions, features, experiences, complete products, and portfolios. Size your own build here. This will help to draw attention to both the benefits of ongoing investment and the difference between what you currently offer and what you intend to deliver 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 their focus should be placed for 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 compliance with data and privacy be a significant challenge? 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 stakeholder attitudes that prevent progress.

    Effectively collaborating and managing expectations is critical to your success. Consider the potential obstacles to your upcoming progress. Press the participants to name specific steps to overcome or mitigate those barriers in your organization. As research has shown, 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 all set 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. They give you a variety of options for how your organization can conduct its activities because of their broad and potent capabilities. 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 ultimate menu of the prioritized backlog will come together. 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 from recipes, which 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.

    Not just discovering requirements, it is. Documenting your personalizations as a series of if-then statements lets the team:

    1. compare findings to a common strategy 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 a who-what-when-why construct:

    • Who are your key audience segments or groups?
    • What kind of content will you provide for 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 when a new user registers 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.

    A good preworkshop activity might be to consider a first draft of what these cards might be for your organization, though we’ve also found that cocreating the recipes themselves can sometimes help this process. 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 workshop’s later stages, which shift from focusing on cookbooks to focusing on customers, might seem more nuanced. 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“.

    A team overfitting: they aren’t designing with their best data, is what causes personalization to become a laugh 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 will produce the necessary concentration and intention for success. 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 your organization’s masters. There are meals to serve and mouths to feed.

    You have a better chance of lasting success and sound beginnings with this workshop framework. 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.

    Although there are associated costs associated with purchasing this kind of technology and product design, your time well spent is on sizing up and confronting your unique situation and digital skills. 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 movies since I was a child. I loved the figures and the excitement—but most of all the reports. I aspired to be an artist. And I believed that I’d get to do the things that Indiana Jones did and go on exciting activities. Perhaps 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 analysis 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 favourite film. It more than likely follows a three-act construction that’s frequently seen in movies: the installation, the conflict, and the resolution. The second act shows what exists now, and it helps you get to know the figures and the challenges and problems that they face. Act two sets the scene for the fight and the action begins. Here, issues grow or get worse. The solution is the third and final work. This is where the issues are resolved and the figures learn and change. This construction, in my opinion, is also a fantastic way to think about consumer research, and it might be particularly useful for introducing user research to others.

    Use story as a framework for conducting research

    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 may lead some groups, but that approach can so easily miss the chance to solve clients ‘ real issues. To be user-centered, this is something we really avoid. User study improves pattern. It keeps it on record, 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 basic research comes in handy because the layout is all about understanding the background. Basic research ( also called conceptual, discovery, or original research ) helps you understand people and identify their problems. Like in the movies, you’re learning about the difficulties customers face, what options are available, and how they are affected by them. To do basic research, you may conduct cultural inquiries or journal studies ( or both! ), which can assist you in identifying both prospects and issues. It doesn’t need to get a great investment in time or money.

    What is the least practical ethnography that Erika Hall can do is spend fifteen minutes with a consumer and say,” Walk me through your day yesterday. That’s it. Current that one ask. Locked up and listen to them for 15 days. Do everything in your power to protect both your objectives and yourself. Bam, you’re doing ethnography”. According to Hall, “[This ] will probably 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 studies so visible. You can only attract participants and do it! You don’t need to create a lot of documentation. 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 action 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 fundamental 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 finally participants 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 customers ‘ problems. In either case, work one serves as your main strategy to pique the interest and interest of 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 productive outcome for your item. And this can be an opportunity for participants to repeat this process with different items. 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 examine a design or idea to see whether it addresses the problems.

    Act two: issue

    Act two is all about digging deeper into the issues that you identified in operate one. This typically involves conducting lateral 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 off. 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 parties 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 decades, but you can also do them remotely using software like Microsoft Teams, Zoom, or other teleconferencing software. 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. Additionally, you’ll also hear their reactions in real-time, including surprises, disagreements, and discussions of what they’re seeing. 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 conduct your research by meeting users at their locations. 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. Remote training sessions can reach a wider audience. They allow a lot more stakeholders to be involved in the research and to see what’s going on. Additionally, they make access to a much wider user base geographically. But with any remote session there is the potential of time wasted if participants can’t log in or get their microphone working.

    The advantage of usability testing, whether conducted remotely or in person, is that you can ask real users questions to understand their reasoning and understanding of the problem. 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. Act two is where the excitement is at the heart of the narrative, but there are also potential surprises. This is equally true of usability tests. Unexpected things that participants say frequently alter the way you look at things, and these unexpected revelations can lead to unexpected turns in the narrative.

    Unfortunately, user research is sometimes seen as expendable. Usability testing is also frequently the only research technique that some stakeholders believe they ever need, and too frequently. 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’re narrowing the scope of what you’re receiving feedback on 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 just 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, whereas the first two acts are about understanding the context and the tensions that can compel stakeholders to act. 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 parties who have a say in the coming development. It allows the whole team to hear users ‘ feedback together, ask questions, and discuss what’s possible within the project’s constraints. Additionally, it enables the UX design and research teams 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 employ the same methods as great storytellers: they create a conflict that needs to be settled by reminding people of the status quo and then revealing a better way, according to Duarte. ” 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 everything by summarizing the key points and offering suggestions for a solution. 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 as output.
      Act two: Next, there’s character development. The protagonists encounter problems and challenges, 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 storytelling, presentation decks, 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. In the end, the parties should leave with a goal and an eagerness to fix 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 to everyone, and all parties must be interested in the conclusion.

  • From Beta to Bedrock: Build Products that Stick.

    From Beta to Bedrock: Build Products that Stick.

    I’ve lost count of the times when promising ideas go from being useless in a few months to being useless after working as a solution designer for too long to notice.

    Financial items, which is the industry in which I work, 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, please:

    The drawbacks of feature-first creation

    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 user journeys from papers or telephony channels to online bank or mobile apps. They may believe,” If I may only add one more thing that solves this particular person problem, they’ll enjoy me”! But what happens if you eventually encounter a roadblock as a result of your security team’s negligence? don’t like it, right? When a battle-tested film isn’t as well-known as you anticipated or when it fails due to unforeseen difficulty?

    The concept of Minimum Viable Product ( MVP ) is applied to this. Even though Jason Fried doesn’t usually refer to it that way, his podcast Rework and his guide Getting Real frequently address this concept. An MVP is a product that offers only enough significance to your users to keep them interested without becoming too hard or frustrating to use. Although it seems like an easy idea, 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. This implies that the priority is to provide as many features and functionalities as possible to satisfy the requirements and desires of competing inside sections as opposed to a distinct value statement that is focused on what people in the real world actually want. 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 may we create products that are user-friendly, firm, and, most importantly, stick?

    The concept of “bedrock” comes into play in this context. Rock is the main feature of your item that really matters to customers. The foundation of worth and relevance over time is built upon it.

    The core has to be in and around the standard servicing journeys in the world of retail bank, which is where I work. People only look at their existing accounts once every blue sky, but they do so daily. They purchase a credit card every year or two, but they at least once a month examine their stability and pay their bills.

    The key is in identifying the main tasks that individuals want to complete and therefore relentlessly striving to make them simple, reliable, and trustworthy.

    But how do you reach the foundation? By focusing on the” MVP” strategy, giving convenience precedence, and working incrementally toward a clear value proposition. This means avoiding unnecessary functions and putting your customers first, and adding real value.

    It also requires some nerve, as your coworkers might not always agree on your eyesight right away. And in some cases, it might even mean making it clear to clients that you won’t be coming over to their home and 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.

    Functional methods for creating stick-like economic items

    What are the main learnings I’ve made from my own research and expertise?

    1. What trouble are you trying to solve first, and make a distinct “why”? Whom? Before beginning any project, make sure your vision is completely clear. Make certain it also complies with the goals of your business.
    2. Avoid the temptation to put too many characteristics at once and focus on getting that right first. Choose one that actually adds price, and work from that.
    3. When it comes to financial items, clarity is often over richness. Eliminate unwanted details and concentrate solely on what matters most.
    4. Accept constant iteration as Bedrock is a powerful process rather than a set destination. Continuously collect customer comments, make improvements to your product, and move toward that foundation.
    5. Stop, look, and listen: Don’t just go through with testing your product as part of the delivery process; test it consistently in the field. Use it for yourself. A/B tests are run. User opinions on Gear. Talk to those who use it, and change things up correctly.

    The foundational conundrum

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

    How do you begin your quest for rock, then? Taking it one step at a time. Start by identifying the essential components that your customers actually care about. Focus on developing and improving a second, potent have 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 build it, he said.

  • An Holistic Framework for Shared Design Leadership

    An Holistic Framework for Shared Design Leadership

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

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

    The conventional solution has been to create a table with clear lines. The Design Manager handles persons, the Lead Designer handles art. Problem is fixed, isn’t it? Except that clear nonprofit 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 design organization as a design species, the magic happens when you accept collide rather than fight it.

    The biology of a good design team

    Here’s what I’ve learned from years of being on both flanks of this formula: think of your design team as a living organism. The design manager has a focus on the internal safety, career advancement, team dynamics, and other aspects. The Lead Designer concentrates on the body ( the handiwork, the design standards, the hands-on projects that are delivered to users ).

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

    When we look at how good team really function, three critical devices emerge. Each role must be combined, but one has to assume the lead role in keeping that system sturdy.

    Folks & Psychology: The Nervous System

    Major custodian: Design Manager
    Supporting part: Lead Designer

    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 main caretaker here is the Design Manager. They are keeping track of the team’s mental 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, the Lead Designer has a vital enabling position. 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:

    • development planning and job conversations
    • internal security and dynamics of the crew
    • Job management and resource planning
    • Systematic evaluations and opinions
    • Providing opportunities for learning

    Direct Custom supports by:

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

    The Muscular System: Design, Design, and Execution

    Major custodian: Lead Designer
    Supporting position: Design Manager

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

    The Lead Designer is in charge of everything here. They oversee the creation of quality standards, provide craft instruction, and set design 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 usage and design standards
    • Feedback on design output 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 all members of the team are aware of and adopting design standards
    • Confirming that the right direction is being used is being done
    • Supporting practices and systems that scale without bottlenecking
    • facilitating design alignment among all teams
    • Providing resources and removing obstacles to outstanding craft work

    The Circulatory System: Strategy &amp, Flow

    Shared caretakers: Lead Designer and Design Manager, respectively.

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

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

    Lead Designer contributes:

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

    Design Manager contributes:

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

    Both parties work together:

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

    Keeping the Organism Healthy

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

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

    Handle Handoffs Gracefully

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

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

    Stay curious and not territorial.

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

    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

    This partnership has the potential to go wrong, even with clear roles. Here are the most typical failure modes I’ve seen:

    System Isolation

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

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

    Reconnect around common goals in the treatment. What are you both trying to achieve? Great design work typically arrives on time from a strong team. Discover how both systems accomplish that goal.

    Poor Circulation

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

    The 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? How frequently? What’s the feedback loop?

    Autoimmune Response

    One person feels threatened by the other’s skill set. The Design Manager thinks the Lead Designer is undermining their authority. The Design Manager is alleged to believe that the Lead Designer doesn’t understand craft.

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

    When both roles are well-balanced and functioning well together, you get the best of both worlds: strong people leadership and deep craft knowledge. When one person is 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. You can use the same system thinking to new challenges as your team grows. Need to launch a design system? Both the muscular system and the nervous system are more prevalent in the work environment and communication, and the design manager is more focused on the implementation and change management.

    The End result

    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 are aware that they are promoting various aspects of a healthy organism.

    The mind and body work together. The team receives both the required craft excellence and strategic thinking. And most importantly, the work that is distributed to users benefits both sides.

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

  • Design Dialects: Breaking the Rules, Not the System

    Design Dialects: Breaking the Rules, Not the System

    Language is a completely coherent system bound to environment and behavior, not just a set of related noises, clauses, rules, and meanings. — Kenneth L. Pike

    Voices are available on the internet. But if our manufacturing processes.

    Designing methods as living language

    Designing languages are living languages, not portion libraries. The elements are terms, the patterns are phrases, the designs are sentences, and the tokens are phonemes. The conversations we have with customers are what shape the stories that our goods represent.

    But let’s remember that voices increase as a speech gets more fluent without losing its meaning. English in Scotland and English in Sydney are undeniably different, but both are clearly English. The terminology adapts to the situation while maintaining its fundamental meaning. As a Brazilian Portuguese speech who learned English with an American highlight and resides in Sydney, this couldn’t be more visible to me.

    Our pattern processes may operate similarly. Systems that flex under pressure from the environment are weak due to rigorous adhesion to visual rules. Fluidic systems stretch without buckling.

    Consistent behavior turns into a captivity

    Design systems had a promise that was easy: regular components may speed up development and bring together experiences. But as techniques evolved and products developed more sophisticated, that promise has since become a prison. Team submit “exception” demands in the hundreds of thousands. Alternatively of system parts, products release with solutions. Designers devote more time promoting persistence than resolving customer issues.

    Languages must be learned in our layout systems.

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

    When Perfect Consistency Is A Problem

    I had a difficult lesson to learn at Booking.com. Everything we A/B tested was color, version, button shapes, also logo colors. I found this stunning as a skilled with a background in graphic design and company type guides. While people adored Airbnb’s flawless design program, Booking grew into a giant without ever taking into account physical consistency.

    The conflict taught me things important: solved issues are, not consistency.

    At Shopify Our crown jewel was Polyris ( ), a mature design language that worked well for laptop manufacturers. We were expected to follow Polaris as-is as a product staff. Then my accomplishment group said,” Oh, Ship!” momentous as we had to create an app for inventory pickers using our program on shared, battered Android scanners in dark aisles, wearing heavy gloves, scanning dozens of items per second, some with only minimal English comprehension.

    Polaris common: 0 % task execution.

    Every element that worked wonders for retailers entirely failed to work for pickers. Bright backgrounds produced light. Click targets for 44px were hidden behind covered fingers. Sentence-case names took too long to interpret. Non-native listeners were confused by multi-step travels.

    We had to choose whether to completely reject Polaris or learn to speak warehouse.

    The Dialect’s Baby

    We favored development over trend. We developed what we now refer to as a style dialect by adhering to Polaris’s key principles of clarity, efficiency, consistency.

    ConstraintFluent ShiftRationale
    Low light, small light, and lightBlack text + dark areasReduce screen brightness on low-DP I displays
    Gloves & urgency90px tap targets ( ~2cm )Use comfortable boots
    MultilingualSingle-tasking displays in simple languageReduce mental strain

    Results: Task completion increased from 0 % to 100 %. From three days to one move, onboard time was cut.

    This wasn’t slang or theming; this was a rigorous version that maintained Polaris ‘ core grammar while creating new words for a particular context. It had picked up the language of storehouse and not failed.

    The Flexibility Framework

    Working on the Jira platform, which is a component of the larger Atlassian method, at Atlassian, I advocated for formalizing this understanding. We needed comprehensive mobility because dozens of products shared a style language across various versions, but we built straight into our ways of working. The previous model, which required exception requests and specific approvals, was failing on a scale.

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

    TierActionOwnership
    ConsistentAdopt left-as-isSoftware locks style + script
    OpinionatedAdapt within limitsSmart failures are provided for goods, and they can be customized.
    Flexibleextend easilySoftware defines conduct, and products define their presentation.

    We tied down every aspect of a tracking redesign. International search and logo remain constant. The activities of cultural contexts and breadcrumbs changed to flexibility. Product teams could quickly identify areas where creativity was advantageous and where consistency was important.

    Decision Ladder

    There must be limitations for freedom. We built a straightforward staircase to determine when rules does obstruct:

    Good: Send with already-existing system components. Strong, reliable, and reliable.

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

    Best: First, create the ideal practice. Update the system to support it if consumer assessment validates the profit.

    Which option allows users to achieve the fastest? is the key question.

    Guidelines are tools, not objects.

    Unity Beats Uniformity

    Email, Drive, and Maps all speak with their own accent, but they are clearly Google. They are united by common rules, no by copied parts. About$ 30K in engineer time is spent on one more year of key color debate.

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

    Management Without Gates

    How can alignment be maintained while enabling languages? Treat your diction like a life dictionary:

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

    Promote shared designs: when three teams freely adopt a dialect and assess its core inclusion.

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

    A living vocabulary performs better than a freezing handbook.

    Your First Dialect: Start Small

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

    Get one user flow this week where best consistency prevents task completion. May be accessibility issues that mobile users have with desktop-sized components or that your standard patterns don’t target.

    What causes normal patterns to fail in this context of documentation? economic restrictions customer capabilities Task necessity?

    Design one consistent change: prioritize actions over looks. If gloves are the issue, bigger targets are actually serving the customer rather than “broken the technique.” Create the adjustments and render them deliberate.

    Assess and test: Does implementing the shift make tasks more efficient? production at its peak? User happiness

    Display the savings: Competence has already paid off by letting that dialect free perhaps a sprint.

    Beyond the Component Library

    We’re cultivating style languages, never managing design systems anymore. language that develop in line with the speakers. voices without losing their significance in language. cultures that prioritize the needs of people over visual ideals.

    Our keys breaking the style guide didn’t matter, the warehouse personnel who went from 0 % to 100 % task execution didn’t care. They emphasized the success of the switches.

    Your customers share your opinion. Give your program permission to use their speech.

  • How to Turn LinkedIn into a B2B Lead Machine – Anthony Blatner Explains

    How to Turn LinkedIn into a B2B Lead Machine – Anthony Blatner Explains

    How to Turn LinkedIn into a B2B Lead Machine – Anthony Blatner Explains written by John Jantsch read more at Duct Tape Marketing

    Listen to the full episode: Overview On this episode of the Duct Tape Marketing Podcast, John Jantsch interviews Anthony Blatner, founder of Speedwork Social—a leading LinkedIn ads agency specializing in helping B2B companies generate high-quality leads and close enterprise deals. Anthony shares his insights on what makes LinkedIn ads uniquely valuable for B2B marketers, how […]

    How to Turn LinkedIn into a B2B Lead Machine – Anthony Blatner Explains written by John Jantsch read more at Duct Tape Marketing

    Listen to the full episode:

    Anthony BlatnerOverview

    On this episode of the Duct Tape Marketing Podcast, John Jantsch interviews Anthony Blatner, founder of Speedwork Social—a leading LinkedIn ads agency specializing in helping B2B companies generate high-quality leads and close enterprise deals. Anthony shares his insights on what makes LinkedIn ads uniquely valuable for B2B marketers, how to avoid common (and costly) setup mistakes, and the latest strategies for leveraging thought leader ads, retargeting, and creative best practices. If you want to get more ROI from LinkedIn and turn it into your top source for qualified leads, this episode is packed with actionable tips.

    About the Guest

    Anthony Blatner is the founder of Speedwork Social, a top LinkedIn ads agency that helps B2B businesses—from SaaS startups to Fortune 500s—scale revenue with advanced paid media strategies. With a background in software and enterprise sales, Anthony brings deep expertise in targeting, analytics, and campaign optimization.

    Actionable Insights

    • LinkedIn’s unique value for B2B: unmatched professional targeting (job title, company, industry, size), active tech/marketing/recruiting audiences, and robust analytics.
    • Avoid default settings—LinkedIn’s ad defaults favor large budgets and broad reach; custom, niche targeting is key for B2B success.
    • Winning campaign structures:
      • Lead generation with value-first offers (guides, webinars, newsletters) and retargeting.
      • Thought Leader Ads—boosting posts from founders, CEOs, or influencers to drive engagement and trust.
    • Case studies and educational posts outperform “hard sell” ads—people want to learn from peers, not be pitched by brands.
    • Build audiences by analyzing best customers, identifying true job titles and industries, and layering in skills, groups, or custom company lists for precision.
    • Minimum viable budgets: LinkedIn CPCs are higher, so a $15K+ customer LTV is ideal; Thought Leader Ads can get costs down to $1–$2/click when done right.
    • Retargeting is powerful: Use LinkedIn’s pixel to reach website or company page visitors with tailored follow-up.
    • Lead gen forms vs. landing pages: LinkedIn forms typically lower CPL, but landing pages are required for Thought Leader Ads.
    • Clarity > flash: For ad creative, be direct about who you’re targeting and what you’re offering. Avoid untargeted clicks.
    • AI is useful for creative testing, but authenticity and personal content still win—especially as LinkedIn’s culture evolves.

    Great Moments (with Timestamps)

    • 00:50 – Why LinkedIn Ads?
      What sets LinkedIn apart for B2B targeting and campaign measurement.
    • 01:59 – Who Wins on LinkedIn?
      The most active industries (tech, SaaS, recruiting, marketing) and how niche targeting works.
    • 03:29 – The Big Mistake: Default Settings
      Why most new advertisers waste money and how to structure campaigns for results.
    • 04:15 – Lead Magnets & Thought Leader Ads
      The two best-performing B2B strategies right now.
    • 06:36 – Boosting Posts and Influencer Content
      How to leverage company leaders (or external influencers) for greater engagement.
    • 08:45 – Audience Building & Secret Sauces
      How to go beyond job title targeting for hyper-precise reach.
    • 11:44 – Budgeting for LinkedIn
      What you need to make the economics work—and how Thought Leader Ads can cut costs.
    • 14:33 – Retargeting & Company Page Visitors
      Why you should pixel your site and retarget warm audiences.
    • 15:19 – LinkedIn Forms vs. Landing Pages
      When to use each and why.
    • 16:33 – Creative Best Practices
      Why clarity and fit matter more than flash—and how to avoid expensive untargeted clicks.
    • 18:38 – AI’s Role in LinkedIn Ads
      Where AI helps, where authenticity matters, and what’s next for the platform.

    Insights

    “LinkedIn’s real power is in its targeting. You can’t reach decision-makers this precisely anywhere else.”

    “Lead with value—guides, webinars, case studies—and build trust before asking for the sale.”

    “Thought Leader Ads are crushing traditional company ads; people want to hear from people, not brands.”

    “Don’t rely on default settings—custom, precise targeting delivers better results and lower costs.”

    “For creative, be clear, direct, and targeted—don’t pay $10+ for clicks that don’t fit your ICP.”

    John Jantsch (00:00.924)

    Hello and welcome to another episode of the Duct Tape Marketing Podcast. This is John Jantsch. My guest today is Anthony Blatner. He is the founder of Speedwork Social, a leading LinkedIn ads agency that helps B2B companies generate high quality leads, close enterprise deals and scale revenue using advanced paid media strategies. With a background in software and enterprise sales, Anthony has helped hundreds of businesses from SaaS startups to Fortune 500s, leverage, link.

    ends robust targeting and analytics for measurable results. So Anthony, welcome to the show.

    Anthony Blatner (00:35.564)

    Hey, John, thanks for having me. Excited to be here and talk about LinkedIn marketing.

    John Jantsch (00:37.382)

    So you bet. let’s just start the basics. mean, what makes LinkedIn ads uniquely valuable? You mentioned B2B specifically for B2B markers compared to other social ad platforms.

    Anthony Blatner (00:50.764)

    Yeah, the biggest thing about LinkedIn is the audience. Number one, who visits LinkedIn compared to who visits other platforms. It’s definitely the professional audience. Everyone starts by creating their LinkedIn usually when they’re entering the job market. So that’s where it starts. Some people never updated after that, but a lot of people do along their career path. And it’s also evolved into more of a social platform now.

    on the business, a lot of it on the business professional side. So number one’s audience. And then number two is just pure how you can target people because people start with using it as their resume, their job titles, their companies, those company pages are all, that data is there. It’s all filled out pretty up to date. So having those ways of target people based on job title, company, industry, company size, those options like don’t exist on.

    almost any other platform. it’s a great way to be able to target those types of professionals. So if you’re a B2B company looking to target a niche professional, then LinkedIn usually has the best options for you.

    John Jantsch (01:53.712)

    Are there industries or types of offers that do particularly well on LinkedIn that you’ve seen?

    Anthony Blatner (01:59.852)

    Yeah, there’s a wide variety. I’d say overall it’s like who visits LinkedIn the most and it is mostly like the tech oriented industries, the more digitally active industries. Those are the most active. So tech software SaaS is like the biggest one. After that, it’s a lot of the marketers out there. So the marketing industry is big and active on LinkedIn. And then past that, a lot of it’s…

    John Jantsch (02:02.076)

    Yeah.

    Anthony Blatner (02:25.484)

    Like the recruiting industry, HR is very big on LinkedIn because they’re doing a lot of that recruiting. A lot of those people, you know, spend a lot of time on LinkedIn. so then you get into industries like that. and that said these days, it’s always like interesting when we have a very niche audience and we build it out and size it up, how many people we can find. and then on LinkedIn, but then pass that just depends on the activity level of that audience.

    industries that tend to be more of like working in the field industries. They might not be as active. So definitely the tech software and then the marketing folks.

    John Jantsch (02:59.25)

    So I’ll be honest, I have a lot of people that come to me and say, I’ve tried LinkedIn, I can’t make it work. And it’s really expensive. I’m guessing they’re probably just going on there and just doing whatever the easy button is to set up an ad or something. Are you finding that there’s a campaign structure or type that delivers consistently and maybe without spending too much time, we ought to identify kind of the various options on LinkedIn. But are you finding like right now today, this campaign structure really works?

    Anthony Blatner (03:29.388)

    Yes. So there’s kind of two, two ones that are the main ones, the winning ones right now that I recommended most people to start with. but before I get into that, you’re definitely right. People get onto LinkedIn, they try the ads platform and they will see much higher CPMs and CPCs than other platforms. So when you compare it with like Facebook or other advertising platforms, like your costs are going to look a lot higher.

    John Jantsch (03:54.182)

    Mm-hmm.

    Anthony Blatner (03:54.23)

    And then the challenge is most people will just, you know, if they’re not familiar with the platform, they’re just going to set it up, use the default settings, click launch, just like they would on Facebook or Google. But a lot of those default settings aren’t great for your small to medium sized business. They’re more built for enterprise businesses. So you might.

    John Jantsch (04:12.498)

    Or for LinkedIn to make a lot of money.

    Anthony Blatner (04:15.283)

    Yes, yes. know, ad platforms are in the business of them, you know, making money themselves. So a lot of those default settings aren’t, aren’t serving, you know, the small to medium sized business. So we usually recommend changing a lot of those initial settings because somebody might set up a campaign, click launch, and then you then find out your budget didn’t reach who you really wanted it to reach due to audience expansion options. And then it didn’t serve exactly where you wanted it to. It served more on third party websites, part of the ad network.

    of LinkedIn because of the default option. So you spent your money, you didn’t reach who you wanted, you didn’t serve your ads where you wanted. So of course you didn’t get any good results out of it. So that’s the most common scenario of what, when we review accounts. So when you use the right settings, you can reach the right professionals and, you know, drive some results. And the main two things right now, the main two things in general that work, the first one is kind of more the traditional one, B2B.

    sales takes a long time. So it’s not going to be like selling widgets on Facebook, be an e-commerce store. Someone’s probably not going to click and buy right away. So you kind of have to plan for the long game. You might to start that.

    interaction, you might offer what we call a lead magnet, which is like a guide or report. You might get somebody to sign up for a webinar, sign up for a newsletter. What’s that stepping stone to start it on the way to making a purchase? And you might then retarget them to then offer them a demo or a consultation afterwards. first one is lead with value. Lead magnets and lead generation campaigns are always a good way to do that. Those are always, you know, it’s kind of a traditional tactic.

    The newer one is what we call thought leader ads. And this is just the boosting of posts of people on LinkedIn. So you’ll post on LinkedIn from your profile. And as of maybe about a year ago, now you can boost posts from people. So we just see that these perform so much better than a traditional company ad because people are on LinkedIn to hear from other people, not to read ads from companies. They’re there to hear from other people. So those do…

    John Jantsch (06:20.178)

    So walk me through that a little bit. that similar to, would you actually have some sort of arrangement with that thought leader to where they would write a post that’s maybe favorable to something you’re trying to push, almost like an influencer would, you know, in other platforms?

    Anthony Blatner (06:36.245)

    Yes. Yeah. And you can set up like, you know, external influencers, but probably step one is you yourself or people in your company or your CEO and founder. that’s, that’s usually the, it’s just called thought leader ads is the name of what the ad unit is. So most companies are going to start with their founder, CEO or themselves. And then.

    John Jantsch (06:46.031)

    I see.

    John Jantsch (06:50.063)

    Okay, okay.

    Anthony Blatner (06:56.363)

    I mean, nowadays, yes, lots of people are setting up arrangements with third party influencers and doing those kind of, you know, sponsored deals. yeah, stuff one is like your CEO, founder. And then like, you know, there’s a lot of content. You think about it a little bit differently where it’s like, what is somebody going to post that somebody wants, that their prospect wants to read and then starts that interaction. So what we see work very well.

    across the board, like different industries have different things that are going to work in different companies, but across the board, it’s like a really good case study is a great way to kind of start that because people are on LinkedIn to learn from others and learn how they can do better at their job or in their company. So often they want to read successful case studies by similar companies, similar people. So that’s a great content format to start with. So if you have really strong case studies, write that as a

    John Jantsch (07:32.018)

    Mm-hmm.

    Anthony Blatner (07:51.382)

    as a post and you do have to write it up like, hey, I’m going to teach you something, read this. And then if you are interested in what we did, you can contact me, you can click here to learn more, and then you can kind of continue the journey from there. we just see that those get so much higher engagement rates and LinkedIn reports on dwell time, which means people are, and we get those stats so we can see people are sitting there and reading that content two to three times longer than a traditional company ad. So it just shows like people are reading this content, they’re absorbing it and like that’s what we want out of marketing.

    John Jantsch (08:21.222)

    Yeah. So is there any secret sauce to targeting? You know, you’ve got all the selects that they give you seniority, company size, job title, all those kinds of things. But I still feel like that doesn’t get narrow enough. know, are you, are there targeting mistakes that you commonly see or are there, I guess I’m asking this two ways. How do people make mistakes and then like, how do people succeed? What’s the secret sauce?

    Anthony Blatner (08:45.163)

    Yes, there’s a lot of sauces and lots of flavors on LinkedIn. But it starts with number one is that what I told you earlier of like, don’t use the default settings because default it says audience expansion and like even Facebook and Google try to do the same thing. I think there’s might be a little more clear sometimes, but you know, on LinkedIn, when you’re selling B2B, you usually want to target a very specific professional at a very specific type of company. So when you have, when you allow the algorithm to go find similar people, suddenly you’ve made a couple hops in our

    not in the industry and job you want to be reaching. So that’s number one. From there, secret sauces are, we usually start with like audience research. Give me a few of your best customers or a few of your target customers. Let’s go download their, you know, look at their profiles. What, how do they categorize themselves? What are the job titles? What are the industry’s company sizes? And then we’ll build a demographic profile from that of who we want to target.

    John Jantsch (09:16.144)

    Yeah. Yeah.

    Anthony Blatner (09:41.014)

    And then the way to kind of take that a step further is to get more niche into what are the skills or interests or groups on top of that. When you do Facebook and Google advertising, often you give it a very big audience and you let the algorithm go find the right person for you. Lincoln’s algorithm, you know, isn’t as advanced as these other platforms, but we also don’t need it to be. just, we don’t want the algorithm to do any work for us. We want to

    We want to have the campaigns reach exactly who we want. So don’t give it very broad, very big audiences, give it very small and niche audiences of exactly who you want to reach. And then past that, kind of the most advanced thing that we often recommend is to build your own company lists when appropriate, when you can do that. There’s a lot of third party data platforms out there that can be useful, but also if you’re, you know, if you’re

    If you know your industry, you can sit down and often like write that list yourself or have a BDR salesperson write that list. And then can upload that to LinkedIn and make sure you’re going after the exact companies you want. Because not always, there isn’t always a LinkedIn industry definition for the exact industry you want to reach. And sometimes you have to make your own list.

    So, what am I saying?

    John Jantsch (11:00.786)

    So how do you, okay, no, no, no. think just, you know, we’re obviously we’ve got 20 minutes. We’re not gonna teach everybody all the ins and outs, but I think just what you’ve said at a high level certainly ought to at least put people on notice about how they need to be thinking. So let’s talk a little bit about budgets. I’m sure you have some clients that, you know, have been used to paying, you know, $1.17 for a click on Facebook and all of a sudden see $6 on LinkedIn. Obviously it all comes down to ROI.

    Does that $6 produce better than the $1.17? How do you make the economics work? How do you do the reporting so that you can make a case for saying, this is money well spent?

    Anthony Blatner (11:44.876)

    Yeah. So number one, does start with having higher costs as a platform. Just, you do have to have a high enough LTV for that ROI to make sense in the end. So you’re probably not going to be selling kind of small widgets or very cheap services. If you do, you would just stick to the organic side of the platform. You probably wouldn’t spend too much on ads or maybe your ads are just retargeting people who are already visiting your website. So you use stuff like that.

    But yeah, you need to have a high enough LTV for that ROI to make sense. So usually we say you want to have at least 15K of your LTV. So this is more enterprise level software, more, you know, bigger ongoing services. So if you know like, Hey, you know, maybe I do client services and on average, your client sticks with us for a year and we make 20K from that client. Great. You’re a good fit.

    John Jantsch (12:26.81)

    Mm-hmm.

    Anthony Blatner (12:38.381)

    If you’re 10K or lower, 15K or lower, then you just want to be a little more careful of making sure your stats are working out and that you are keeping clients or retaining clients. So that’s usually what we say to people. That line I’d say is moving a little bit with the new Thought Leader ads. The other advantage is they get so much higher engagement rate and people sit there and read it to all time like I talked about, which then allows you to get cheaper costs on your ads.

    Like every other ad platform, they want to be delivering content that the user, their user wants to engage with that keeps them on the platform. So if your content is getting very high engagement rate, that’s a good sign for the platform. They give you a discount on your ad costs. Inversely, if your content does not get much engagement, not many clicks and stuff, then they charge you a premium. So it’s all playing that game. So with Thought Leader Ads, does allow you to get higher engagement rates, get cheaper costs, and then

    You know, your, your LTV could be lower than if you’re having good thought leader campaign running because Hey, maybe you are getting cause like to give you some benchmarks is you said six bucks, but I’d say the average LinkedIn click is like 10 to 15 bucks for a standard company page ad. So that’s expensive. Um, so yeah, you just need to make sure your ROI is, is going to work out there with the thought leader ad. If you are getting very high engagement, we see thought leader ads get one to $2.

    John Jantsch (13:38.226)

    Mm-hmm.

    John Jantsch (13:46.875)

    Okay.

    Anthony Blatner (14:00.749)

    per click and then you are comparable with a Facebook ad and maybe even better than a Facebook ad. Some of the best ones we’re running right now are below a dollar per click and are just crushing the Facebook results that they’re getting on Facebook because we have the targeting we want on LinkedIn. So kind of all comes down to this.

    John Jantsch (14:00.914)

    Okay.

    John Jantsch (14:18.126)

    You mentioned something I want to circle back to you, retargeting. Can you, do they have the similar pixel idea that you can actually put on your website and then you, can you run only retargeting ads? So somebody’s come to your website, now they hopped over to LinkedIn, now they’re going to see your ad. Yeah.

    Anthony Blatner (14:33.355)

    Yeah, definitely. The two things are most common is website retargeting. yeah, same pixel, very similar to like Metis pixel. It’ll track who visits your website and then retarget those people. And then also people who visit your company page. You can retarget those people as well. Company pages rank very well in Google. So often we’ll see, you already have a good amount of traffic to your company page. People are already visiting. Let’s start by retargeting.

    John Jantsch (14:40.476)

    Mm-hmm.

    John Jantsch (14:58.172)

    So one of the things that it seems like almost all the social platforms are doing, you used to run an ad and you’d drive people to a landing page, but now they’ve all come up with their own sort of lead capture form and they seem to be encouraging people to use their forms. Do you see that to be true or do you have something that you recommend one way or the other?

    Anthony Blatner (15:19.239)

    Yeah. So I still, there’s still cases for both. We, I do often recommend the LinkedIn forms because you’re just, your CPLs are going to be better, much better than having somebody click off to a website, submit a form there. And when you’re already paying LinkedIn’s higher prices, you just, need that math to make better sense for you. So you do use LinkedIn’s forms a lot. You know, your average executive might not spend too much time.

    John Jantsch (15:29.904)

    Yeah.

    Anthony Blatner (15:46.062)

    clicking off to a website, reading a bunch, finding the form, submitting it. So let’s just make that an easy process. But with the Thought Leader ads, you can’t use the native form. So we do still use landing pages a lot with Thought Leader ads. But then again, the benefit of those, you get cheaper cost per clicks. So you can get cheaper cost per clicks to your landing page.

    John Jantsch (16:08.434)

    How do you handle ad creative and copy? You know, it’s not quite the same as, you’re not gonna have a reel or a video or something in an ad, I suspect. is there, have you kind of cracked what? And again, having said this, answer, whatever you answer, I know that like it’s two months from now, might be a different answer. But what are you finding that’s working right now from a creative and copy standpoint?

    Anthony Blatner (16:28.982)

    Right.

    Anthony Blatner (16:33.611)

    Yeah. And it’s interesting, like LinkedIn continues to evolve and in a way we see it getting closer to like a, to a Facebook and the style of creative people are using. I think just as it matures as a social platform, the more people use it, you know, we see what, what we see, gets human attention on Metta and human attention is on LinkedIn too. So it works on LinkedIn. So we’re seeing more of that style start to bleed into LinkedIn. That’s also to say like B2B

    John Jantsch (16:37.127)

    Yeah.

    John Jantsch (16:57.382)

    Yeah.

    Anthony Blatner (17:01.951)

    Creative could always use like some spicing up. So we don’t mind some of that You know the the creative style a couple things I usually recommend number one is You don’t want to go too far into the Facebook side of things where like Facebook marketing tends to be very flashy get someone’s attention draw them in get the click on LinkedIn you want to be more clear and direct who is this for and what are you offering because Even with Lincoln’s good targeting, you know

    John Jantsch (17:05.362)

    Yeah

    Anthony Blatner (17:30.161)

    You still will have an audience and not everyone in that audience is a perfect fit So you want to you want to reduce the unintentional? Untargeted clicks again back to those expensive prices if somebody isn’t a perfect fit You don’t want to just grab their attention to get them to click on something that’s not relevant And then you paid 15 bucks for that click. So you want to make sure you’re getting targeted clicks. We do keep creative a little more Clear and direct under who who are we talking to? What are we offering so that we get the most clear?

    John Jantsch (17:40.945)

    Mm-hmm.

    Anthony Blatner (17:58.628)

    get the most targeted traffic that does come through.

    John Jantsch (18:01.83)

    Yeah, it is interesting. You’re seeing the culture, if you will, change a little on LinkedIn. I mean, it used to be people would actually give people crap for posting personal stuff on LinkedIn, you know, and, now it’s like, no, it’s, it’s definitely become a more, I mean, it is a lot of business stuff there, but you definitely see people posting, you know, more personal types of things there as well, don’t you?

    Anthony Blatner (18:09.929)

    Yeah.

    Anthony Blatner (18:21.141)

    Yeah. And I think, I think there’s like a benefit to that too. You know, it doesn’t need to be all just business. It’s nice to get to know people a little bit. so I do appreciate that type of.

    John Jantsch (18:24.006)

    Yeah, yeah.

    Yeah, yeah, yeah. I’m curious how is, AI has impacted every industry. I’m curious how it’s impacting what you’re doing for folks on LinkedIn.

    Anthony Blatner (18:38.893)

    Yeah. AI on social is a whole can of worms. I’d say like right now, the thing that LinkedIn does need to figure out is the, there are a lot of AI comments that get left on things. And like, can just, most of the time you can tell like that’s an AI comment. That’s an AI comment. I know they’re taking steps in the right direction. It’s a hard problem to solve because, you know, sometimes it’s hard to tell when someone’s really commenting. Thanks versus AI. Thanks.

    John Jantsch (18:55.762)

    100%.

    Anthony Blatner (19:08.683)

    But, you know, think they’re, I think they’re taking steps in right direction. They just, that needs to be figured out because there is some fluff and spam with that. And not to say it’s any better on Facebook, like if anything is worse on Facebook. So there’s like the authenticity aspect. And I think, you know, when you’re buying something for your business, when you’re spending more money, people are going to critique it, analyze it more before they make that purchase. So I don’t know, you know,

    John Jantsch (19:18.203)

    Okay.

    Anthony Blatner (19:38.463)

    Right now, like AI generated videos aren’t super useful or effective because there’s no authenticity to that. People don’t trust that content. So it doesn’t, doesn’t work. So it’ll, it’s interesting, you know, we’ll see what happens. Sure. AI copy that’s helpful for marketers. It’s helpful for everyone to create content. Sometimes you’re in niche industries and it’s hard to, you know, it takes a lot of time to learn that industry. So you’ll use AI to help you write that content or

    John Jantsch (19:46.406)

    Yeah.

    Anthony Blatner (20:06.583)

    Ticker content, that’s all beneficial. So very early days, we’ll see what what happens with it.

    John Jantsch (20:12.518)

    I certainly like it for testing. If you’re trying to run 27 versions of an ad to figure out what’s going to work, it’s pretty good at doing that type of work. So, Antony, I appreciate you stopping by the Duct Tape Marketing Podcast. Is there somewhere you’d invite people to learn about your work and connect with you?

    Anthony Blatner (20:33.773)

    You can find me on LinkedIn. I’m the only Anthony Blattner on LinkedIn. And I try to talk a lot about LinkedIn ads, LinkedIn marketing, always sharing best practices. So that’s the number one place just on LinkedIn. And then past that, we have a podcast, LinkedIn ads radio that we share all LinkedIn best practices. And then our website speedworksocial.com if you want help with your LinkedIn.

    John Jantsch (20:57.306)

    Awesome. Well, again, I appreciate you stopping by and hopefully we’ll run into you one of these days out there on the road.

    Anthony Blatner (21:02.754)

    Sounds good, thanks for having me.

    powered by