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As a UX skilled in today’s data-driven landscape, it’s extremely likely that you’ve been asked to design a personal digital experience, whether it’s a common website, user portal, or local application. Although there is still a lot of advertising hype surrounding personalization programs, there are still very some standardized methods for implementing personalized UX.

That’s where we come in. We set ourselves the challenge of developing a systematic personalization platform tailored to UX practitioners after finishing dozens of personalization tasks over the past few years. The Personalization Pyramid is a designer-centric model for standing up human-centered personalisation programs, spanning information, classification, content delivery, and general goals. By using this strategy, you will be able to understand the core elements of a modern, UX-driven personalization system ( or at the very least understand enough to get started ).

Getting Started

For the sake of this article, we’ll suppose you’re already familiar with the basics of online personalization. A nice guide can be found these: Website Personalization Planning. Although Graphic jobs in this field can take a variety of forms, they frequently start from the same place.

Popular circumstances for launching a personalization task:

• Your business or client made a purchase to support personalization with a content management system ( CMS ), marketing automation platform ( MAP ), or other related technology.
• The CMO, CDO, or CIO has identified personalisation as a target
• User data is disjointed or confusing
• You are conducting some sporadic targeting strategies or A/B tests.
• On the personalisation method, stakeholders disagree.
• Mandate of customer privacy rules ( e. g. GDPR ) requires revisiting existing user targeting practices

A powerful personalization system will need the same fundamental building blocks regardless of where you begin. We’ve captured these as the “levels” on the tower. Whether you are a UX artist, scholar, or planner, understanding the core components may help make your contribution effective.

From top to bottom, the rates include:

North Star: What larger corporate goal is driving the personalization system?
1. Objectives: What are the specific, tangible benefits of the system?
2. Touchpoints: Where will the personalized experience become served?
3. Contexts and Campaigns: What personalization information does the person view?
4. User Segments: What constitutes a special, suitable market?
5. What trustworthy and credible information does our professional platform collect to enable personalization?
6. Natural Data: What wider set of data is potentially available ( now in our environment ) allowing you to optimize?

We’ll go through each of these levels sequentially. An accompanying deck of cards serves as an example of each level’s specific examples to make this more actionable. We’ve included examples for you here because we think they’re useful for personalization brainstorming sessions.

Starting at the top

The components of the pyramid are as follows:

North Star

With your personalization program, whether large or small, you aim for a general north star. The North Star identifies the (one ) overall goal of the personalization program. What do you wish to accomplish? North Stars cast a shadow. The bigger the star, the bigger the shadow. Example of North Starts might include:

Function: Personalize based on basic user inputs. Examples:” Raw” notifications, basic search results, system user settings and configuration options, general customization, basic optimizations
1. Feature: Self-contained personalization componentry. Examples:” Cooked” notifications, advanced optimizations ( geolocation ), basic dynamic messaging, customized modules, automations, recommenders
2. Experience: Personalized user experiences across multiple interactions and user flows. Examples: Email campaigns, landing pages, advanced messaging ( i. e. C2C chat ) or conversational interfaces, larger user flows and content-intensive optimizations ( localization ).
3. Product: Highly differentiating personalized product experiences. Examples: Standalone, branded experiences with personalization at their core, like the “algotorial” playlists by Spotify such as Discover Weekly.

Goals

As in any good UX design, personalization can help accelerate designing with customer intentions. The goals serve as the tactical and measurable indicators of the success of the entire program. A good place to begin is with your current analytics and measurement program and metrics you can benchmark against. In some cases, new goals may be appropriate. The most important thing to keep in mind is that personalization is not a desired outcome. Common goals include:

• Conversion
• Time on task
• Net promoter score ( NPS)
• Customer satisfaction

Touchpoints

Personalization takes place at touchpoints. As a UX designer, this will be one of your largest areas of responsibility. The touchpoints you have will depend on how your personalization and the associated technology are configured, and they should be based on enhancing a user’s experience at a specific point in the journey. Touchpoints can be multi-device ( mobile, in-store, website ) but also more granular ( web banner, web pop-up etc. ). Here are some examples:

Channel-level Touchpoints

• Email: Role
• Email: Time of open
• In-store display ( JSON endpoint )
• Native app
• Search

Wireframe-level Touchpoints

• Web overlay
• Web alert bar
• Web banner
• Web content block
• Web menu

If you’re designing for web interfaces, for example, you will likely need to include personalized “zones” in your wireframes. Based on our next step, contexts, and campaigns, the content for these can be presented programmatically in touchpoints.

Contexts and Campaigns

Once you’ve outlined some touchpoints, you can consider the actual personalized content a user will receive. Many personalization tools will refer to these as” campaigns” ( so, for example, a campaign on a web banner for new visitors to the website ). These will be displayed programmatically to specific user segments at specific touchpoints, as defined by user data. At this stage, we find it helpful to consider two separate models: a context model and a content model. The context helps you consider whether a user is engaging with the personalization process at the moment, such as when they are simply browsing the web or engaging in a deep dive. Think of it in terms of behaviors for information retrieval. The content model can then guide you in deciding what kind of personalization to use in the context ( for instance, an” Enrich” campaign that features related articles might be a good substitute for extant content ).

Personalization Context Model:

1. Browse
2. Skim
3. Nudge
4. Feast

Personalization Content Model:

1. Alert
2. Make Easier
3. Cross-Sell
4. Enrich

We’ve written a lot more in depth about each of these models elsewhere, so be sure to check out Colin’s Personalization Content Model and Jeff’s Personalization Context Model.

User Segments

Based on user research, user segments can be created prescriptively or adaptively ( for example, using rules and logic tied to user behavior, or through A/B testing ). You will need to consider how to treat the logged-in visitor, the guest or returning visitor, for whom you may have a stateful cookie ( or another post-cookie identifier ), or the authenticated visitor at the least. Here are a few illustrations from the personalization pyramid:

• Unknown
• Guest
• Authenticated
• Default
• Referred
• Role
• Cohort
• Unique ID

Actionable Data

Every business with a digital presence has information. It’s important to inquire about how to use the data you can ethically collect on users, its inherent reliability and value, and how to use it ( sometimes referred to as “data activation” ). Fortunately, the tide is turning to first-party data: a recent study by Twilio estimates some 80 % of businesses are using at least some type of first-party data to personalize the customer experience.

First-party data represents multiple advantages on the UX front, including being relatively simple to collect, more likely to be accurate, and less susceptible to the” creep factor” of third-party data. Therefore, determining which method of data collection is best for your audiences should be a crucial component of your UX strategy. Here are some examples:

When it comes to recognizing and making decisions about various audiences and their signals, there is a trend of profiling. As user numbers increase in terms of time, confidence, and data volume, it varies more granularly.

Although some form of implicit or explicit data is typically required for any implementation ( more commonly known as first party and third-party data ), ML efforts are typically not cost-effective right away. This is because optimization requires a strong content repository and data backbone. These approaches, however, should be taken into account as part of the overall plan and may in fact help to speed up the organization’s progress overall. At this point, you will typically work with important stakeholders and product owners to create a profiling model. The profiling model includes a defined process for setting up profiles, profile keys, profile cards, and pattern cards. A multi-faceted approach to profiling which makes it scalable.

Pulling it Together

The cards serve as a starting point for an inventory of sorts ( we offer blanks for you to customize your own ), a set of potential levers and motivations for the personalization activities you aspire to deliver, but they are more valuable when grouped together.

One can begin to trace the entire course of a card’s “hand” from leadership focus down to a strategic and tactical execution. It is also at the heart of the way that both co-authors have organized workshops to build a backlog of programs, which would make a good subject for a separate article.

In the meantime, it is important to note that each colored class of cards is helpful in understanding the range of options that you might have, as well as making informed choices about who, where, when, and how, will be made these choices.

Lay Down Your Cards

Any sustainable personalization strategy must consider near, mid and long-term goals. There is simply no “easy button” where a personalization program can be stood up and immediately see meaningful results, even with the leading CMS platforms like Sitecore and Adobe or the most exciting composable CMS DXP out there. That said, there is a common grammar to all personalization activities, just like every sentence has nouns and verbs. These cards attempt to map that territory.

Humility, a writer’s necessary value—that has a good ring to it. What about sincerity, an business manager’s necessary value? Or a doctor’s? Or a teacher’s? They all good wonderful. When humility is our guiding light, the course is usually available for fulfillment, development, relation, and commitment. In this book, we’re going to discuss about why.

That said, this is a guide for developers, and to that conclusion, I’d like to begin with a story—well, a voyage, actually. It’s a personal one, and I’m going to make myself prone as well. I call it:

The Tale of Justin’s Preposterous Pate

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. Though I had been fully trained in graphic design, font, and design, what fascinated me was how these classic skills may be applied to a budding online landscape. This style would ultimately determine the direction of my job.

But I drained HTML and JavaScript novels into the wee hours of the morning and self-taught myself how to code during my freshman year rather than student and go into print like many of my companions. I needed to understand the main ramifications of what my style choices may ultimately result in when a website is rendered.

The later ‘ 90s and early 2000s were the so-called” Wild West” of web design. Developers at the time were all trying to figure out how to incorporate design and visual connection into the online landscape. What were the laws? How may we break them and also engage, entertain, and present information? At a more micro level, how was my values, inclusive of modesty, admiration, and link, coincide in combination with that? I was looking for information.

Even though I’m referring to a different time, those are amazing factors between non-career relationships and the world of style. 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 example, this iteration of my personal portfolio site (” the pseudoroom” ) from that era was experimental, if not a bit heavy- handed, in the visual communication of the concept of a living sketchbook. 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.

From around the same time, GUI Galaxy was a design, pixel art, and Mac-centric news portal some graphic designer friends and I conceived, designed, developed, and deployed.

Design news portals were incredibly popular during this period, featuring ( what would now be considered ) Tweet-size, small-format snippets of pertinent news from the categories I previously mentioned. 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 evolved and created a bandwidth-sensitive, web standards award-winning, much more accessibility-conscious website. Still ripe with experimentation, yet more mindful of equitable engagement. You can see a couple of content panes here, noting general news (tech, design ) and Mac-centric news below. We also provided many of the custom downloads I previously mentioned as being accessible on my folio website but with a GUI Galaxy theme and branding.

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

Collaboration and connection transcend media in their impact, which have been extremely satisfying for me as a designer.

Why am I going down this design memory lane with you, now? Two reasons.

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

Today’s web design has been in a period of stagnation. There’s a good chance you’ve seen a website with a hero image, a banner with text overlays, perhaps with a lovely rotating carousel of images ( laying the snark on heavy there ), three columns of sub-content directly beneath, and three columns of sub-content, according to the theory. Perhaps there are selections that vaguely relate to their respective content in an icon library.

Design, as it’s applied to the digital landscape, is in dire need of thoughtful layout, typography, and visual engagement that goes hand-in-hand with all the modern considerations we now know are paramount: usability. Accessibility. Load times and bandwidth- sensitive content delivery. A user-friendly presentation that is relevant 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 Problems

Websites built during this time were frequently built using Macs whose desktops and OS looked something like this. This is Mac OS 7.5, but 8 and 9 weren’t that different.

Desktop icons fascinated me: how could any single one, at any given point, stand out to get my attention? In this example, the user’s desktop is tidy, but think of a more realistic example with icon pandemonium. Or, say an icon was part of a larger system grouping ( fonts, extensions, control panels ) —how did it also maintain cohesion amongst a group?

These were 32 x 32 pixel creations, utilizing a 256-color palette, designed pixel-by-pixel as mini mosaics. This, in my opinion, was the embodiment of digital visual communication under such absurd constraints. And frequently, ridiculous limitations can lead to the purification of concept and theme.

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

Expanding upon the notion of exploration, I wanted to see how I could push the limits of a 32×32 pixel grid with that 256-color palette. These absurd restrictions imposed a clarity of concept and presentation that I found incredibly appealing. The challenge of throwing the digital gauntlet had been thrown at me. And so, in my dorm room into the wee hours of the morning, I toiled away, bringing conceptual sketches into mini mosaic fruition.

These are some of my creations that made use of ResEdit, the only program I had at the time, to create icons. ResEdit was a clunky, built-in Mac OS utility that was not specifically designed for our needs. At the core of all of this work: Research. Challenge. Problem- solving. Again, these core connection-based values are agnostic of medium.

One more design portal that I want to mention also serves as the second reason for my story to connect this all.

This is K10k, short for Kaliber 1000. Michael Schmidt and Toke Nygaard founded K10k in 1998 as the web’s first design news site at the time. With its pixel art-fueled presentation, ultra-focused care given to every facet and detail, and with many of the more influential designers of the time who were invited to be news authors on the site, well… it was the place to be, my friend. The work these people were doing gave rise to the idea of GUI Galaxy, which was inspired by their work.

For my part, the combination of my pixel art and web design work started to gain me some notoriety in the design community. 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 evolved—devolved, really—into a colossal asshole ( and in just about a year out of art school, no less ). The praise and the press immediately surpassed what I needed to fulfill, and they did just that. My ego was inflated by them. I actually felt a little better than my fellow designers.

The casualties? My design stagnated. Its evolution—my evolution — stagnated.

I effectively stopped researching and discovering because I was so confident in my abilities. When I used to lead myself to iterate through concepts or sketches, I leaped right into Photoshop. I drew my inspiration from the tiniest of sources ( and with no discernible bias ). My peers frequently vehemently disapproved of any criticism of my work. The most tragic loss: I had lost touch with my values.

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

It’s true, I initially didn’t accept it, but after much reflection, I was able to accept it. I was soon able to accept, and process, and course correct. The realization laid me low, but the re-awakening was essential. I let go of the “reward” of admiration and turned my attention to the issues that had sparked my passion for art school. Most importantly: I got back to my core values.

Always Students

Following that short-term regression, I was able to push forward in my personal design and career. And as I grew older, I could reflect on my own thoughts to help me develop further and make necessary course corrections.

As an example, let’s talk about the Large Hadron Collider. The LHC was created” to help answer some of the fundamental open questions in physics, which concern the fundamental laws governing the interactions and forces between the elementary objects, the deep structure of space and time, and in particular the interrelation between general relativity and quantum mechanics.” Thanks, Wikipedia.

In one of my earlier professional roles, I about fifteen years ago created the interface for the application that produced 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.

I had a fascinating experience designing the interface for this application because I collaborated with Fermilab physicists to understand both what the application was trying to achieve and how the physicists themselves would be using it. To that end, in this role,

Working with the Fermilab team to make changes and tweak the interface, I gave in to the practice. To me, how they spoke and what they talked about was like an alien tongue. And by accepting that I was just a student and working under the impression that I was just a student, I made myself available to them in order to form that crucial bond.

I also had my first ethnographic observational experience, which involved visiting the Fermilab location and observing how the physicists used the tool in their own environments, on their own terminals. One takeaway was that the data columns ended up using white text on a dark gray background rather than black text-on-white because of the facility’s level of ambient light-driven contrast. This made it easier for them to pore over a lot of data during the day and lessen their strain on their eyes. Additionally, since Fermilab and CERN are government entities with stringent accessibility requirements, my knowledge expanded. The barrier-free design was another essential form of connection.

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

An evergreen willingness to listen, learn, understand, grow, evolve, and connect yields our best work. In particular, I want to focus on the words’ grow’ and ‘ evolve’ in that statement. If we constantly practice our craft, we are also making ourselves more and more adaptable. Yes, we have years of practical design experience behind us. or the intensive lab training offered at a UX bootcamp. Or the monogrammed portfolio of our work. Or, ultimately, decades of a career behind us.

But all that said: experience does not equal “expert”.

The designer we are is our final form when we close our minds with an inner monologue of “knowing it all” or branding ourselves a” #thoughtleader” on social media. The artist we can be will never be there.

I am a artistic. What I do is alchemy. It is a puzzle. I don’t perform it as much as I let it be done by me.

I am a innovative. Certainly all creative people approve of this brand. Not everyone see themselves in this manner. Some innovative individuals incorporate technology into their work. That is their reality, and I regard it. Sometimes I even envy them, a minor. But my approach is different—my becoming is unique.

Apologizing and qualifying in advance is a diversion. That’s what my mind does to destroy me. I put it off for the moment. I may come back later to make amends and count. after I’ve said what I should have. Which is challenging enough.

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

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

Maybe I work and work and work until the thought strikes me. It occasionally arrives right away, but I don’t remind people for three weeks. 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 reward in a box of Cracker Jacks. Maybe I get away with this. Maybe other people agree: yes, that is the best plan. Most times they don’t and I regret having given way to passion.

Passion should only be saved for the meet, when it will matter. not the informal gathering that two different gatherings precede that appointment. Anyone knows why we have all these sessions. We keep saying we’re going to get rid of them, but we just keep trying to find different ways to get them. They occasionally yet excel. But occasionally they are a hindrance to the real job. The percentages between when conferences are important, and when they are a sad distraction, vary, depending on what you do and where you do it. And who you are and how you go about doing it. Once I digress. I am a innovative. That is the style.

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

Don’t question about method. I am a artistic.

I am a artistic. I don’t command my goals. And I don’t handle my best tips.

I can nail aside, surround myself with information or photos, and maybe that works. I can go for a walk, and occasionally that functions. There is no connection between sizzling fuel and bubbling pots, and I may be making dinner. I frequently have a plan for action when I wake up. The idea that may have saved me disappears almost as frequently as I become aware and part of the world once more in a mindless weather of oblivion. For imagination, I believe, comes from that other world. The one we enter in aspirations, and possibly, before conception and after death. But that’s for authors to know, and I am not a writer. I am a innovative. And it’s for philosophers to build massive soldiers in their imaginative world that they claim to be true. But that is another diversion. And a miserable one. 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 process is mitigation. And hardship. You know the cliché about the abused designer? It’s true, even when the artist ( and let’s put that noun in quotes ) is trying to write a soft drink jingle, a callback in a tired sitcom, a budget request.

Some individuals who detest the idea of being called artistic perhaps been closeted artists, but that’s between them and their gods. No offence meant. Your reality is correct, too. However, mine is for me.

Creatives understand artists.

Negatives are aware of cons, just like queers are aware of queers, just like real rappers are aware of true rappers. Creatives feel enormous regard for creatives. We love, respect, emulate, and nearly deify the excellent ones. To idolize any man is, of course, a dreadful mistake. We have been warned. We know much. We know people are simply people. They dispute, they are depressed, they regret their most critical decisions, they are weak and thirsty, they can be cruel, they can be just as terrible as we can, if, like us, they are clay. But. But. However, they produce this incredible point. They give birth to something that was unable to arise before them or otherwise. They are thought’s founders. And I suppose, since it’s only lying it, I have to put that they are the mother of technology. Ba ho bum! Okay, that’s done. Continue.

Creatives disparage our personal small successes, because we compare them to those of the wonderful people. Wonderful video! Also, I‘m no Miyazaki. Now THAT is brilliance. That is brilliance directly from God’s heart. This half-starved small item that I made? It essentially fell off the back of the pumpkin truck. And the carrots weren’t actually new.

Creatives knows that, at best, they are Salieri. That is what Mozart’s artists do, also.

I am a artistic. I haven’t worked in advertising in 30 years, but in my hallucinations, it’s my previous artistic managers who judge me. They are correct to do that. I am very lazy, overly simplistic, and when it actually counts, my mind goes blank. There is no supplement for innovative function.

I am a artistic. Every experience I create has the potential to make Indiana Jones look older while 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 artistic, those who have only had a short-cut of creativity, and those who have just had a short-cut of creativity for work. Only that I spend twice as long as they do putting the job away 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 great career. I am that attached to the excitement scramble of delay. The climb also terrifies me.

I am not an actor.

I am a artistic. No an actor. Though I dreamed, as a child, of eventually being that. Some of us criticize our abilities and like our own accomplishments because we are not Michelangelos and Warhols. That is narcissism—but at least we aren’t in elections.

I am a artistic. Though I believe in reason and science, I decide by intelligence and urge. And sit with what follows—the calamities as well as the successes.

I am a innovative. Every term I’ve said these may offend another artists, who see things differently. Ask two artists a problem, get three ideas. Our dispute, our enthusiasm about it, and our responsibility to our own reality are, at least to me, the facts that we are artists, no matter how we may think about it.

I am a artistic. I lament my lack of taste in almost all of the areas of human understanding, which I know very little about. And I trust my preference above all other items in the regions closest to my soul, or perhaps, more precisely, to my passions. Without my addictions, I’d probably have to spend the majority of our time looking ourselves in the eye, which is something that almost none of us can do for very long. No seriously. No actually. Because many in existence, if you really look at it, is terrible.

I am a artistic. I believe, as a family believes, that when I am gone, some little good part of me will take on in the head of at least one other people.

Working frees me from worrying about my job.

I am a artistic. I worry that my little product will disappear unexpectedly.

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

I am a artistic. I think there is the greatest secret in the process. I think I have to consider it so strongly that I actually made the foolish decision to publish an essay I wrote without having to go through or edit. I didn’t do this generally, I promise. But I did it right away because I was even more scared of forgetting what I was saying because I was as scared as I might be of you seeing through my sad gestures toward the gorgeous.

There. I think I’ve said it.

In reading Joe Dolson’s recent piece on the intersection of AI and accessibility, I absolutely appreciated the skepticism that he has for AI in general as well as for the ways that many have been using it. In fact, I’m very skeptical of AI myself, despite my role at Microsoft as an accessibility innovation strategist who helps run the AI for Accessibility grant program. As with any tool, AI can be used in very constructive, inclusive, and accessible ways; and it can also be used in destructive, exclusive, and harmful ones. And there are a ton of uses somewhere in the mediocre middle as well.

I’d like you to consider this a “yes… and” piece to complement Joe’s post. I’m not trying to refute any of what he’s saying but rather provide some visibility to projects and opportunities where AI can make meaningful differences for people with disabilities. To be clear, I’m not saying that there aren’t real risks or pressing issues with AI that need to be addressed—there are, and we’ve needed to address them, like, yesterday—but I want to take a little time to talk about what’s possible in hopes that we’ll get there one day.

Alternative text

Joe’s piece spends a lot of time talking about computer-vision models generating alternative text. He highlights a ton of valid issues with the current state of things. And while computer-vision models continue to improve in the quality and richness of detail in their descriptions, their results aren’t great. As he rightly points out, the current state of image analysis is pretty poor—especially for certain image types—in large part because current AI systems examine images in isolation rather than within the contexts that they’re in (which is a consequence of having separate “foundation” models for text analysis and image analysis). Today’s models aren’t trained to distinguish between images that are contextually relevant (that should probably have descriptions) and those that are purely decorative (which might not need a description) either. Still, I still think there’s potential in this space.

As Joe mentions, human-in-the-loop authoring of alt text should absolutely be a thing. And if AI can pop in to offer a starting point for alt text—even if that starting point might be a prompt saying What is this BS? That’s not right at all… Let me try to offer a starting point—I think that’s a win.

Taking things a step further, if we can specifically train a model to analyze image usage in context, it could help us more quickly identify which images are likely to be decorative and which ones likely require a description. That will help reinforce which contexts call for image descriptions and it’ll improve authors’ efficiency toward making their pages more accessible.

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 suppose that you came across a chart whose description was simply the title of the chart and the kind of visualization it was, such as: Pie chart comparing smartphone usage to feature phone usage among US households making under $30,000 a year. (That would be a pretty awful alt text for a chart since that would tend to leave many questions about the data unanswered, but then again, let’s suppose that that was the description that was in place.) If your browser knew that that image was a pie chart (because an onboard model concluded this), imagine a world where users could ask questions like these about the graphic:

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

Setting aside the realities of large language model (LLM) hallucinations—where a model just makes up plausible-sounding “facts”—for a moment, the opportunity to learn more about images and data in this way could be revolutionary for blind and low-vision folks as well as for people with various forms of color blindness, cognitive disabilities, and so on. 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.

Taking things a step further: What if you could ask your browser to simplify a complex chart? What if you could ask it to isolate a single line on 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 swap colors for patterns? Given these tools’ chat-based interfaces and our existing ability to manipulate images in today’s AI tools, that seems like a possibility.

Now imagine a purpose-built model that could extract the information from that chart and convert it to another format. For example, perhaps it could turn that pie chart (or better yet, a series of pie charts) into more accessible (and useful) formats, like spreadsheets. That would be amazing!

Matching algorithms

Safiya Umoja Noble absolutely hit the nail on the head when she titled her book Algorithms of Oppression. While her book was focused on the ways that search engines reinforce racism, I think that it’s equally true that all computer models have the potential to amplify conflict, bias, and intolerance. Whether it’s Twitter always showing you the latest tweet from a bored billionaire, YouTube sending us into a Q-hole, or Instagram warping our ideas of what natural bodies look like, we know that poorly authored and maintained algorithms are incredibly harmful. A lot of this stems from a lack of diversity among the people who shape and build them. When these platforms are built with inclusively baked in, however, there’s real potential for algorithm development to help people with disabilities.

Take Mentra, for example. They are an employment network for neurodivergent people. They use an algorithm to match job seekers with potential employers based on over 75 data points. On the job-seeker side of things, it considers each candidate’s strengths, their necessary and preferred workplace accommodations, environmental sensitivities, and so on. On the employer side, it considers each work environment, communication factors related to each job, and the like. As a company run by neurodivergent folks, Mentra made the decision to flip the script when it came to typical employment sites. 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 creation of algorithms, that can reduce the chances that these algorithms will inflict harm on their communities. That’s why diverse teams are so important.

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 example, if you were to follow a bunch of nondisabled white male academics who talk about AI, it could suggest that you follow academics who are disabled or aren’t white or aren’t male who also talk about AI. If you took its recommendations, perhaps you’d get a more holistic 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 helps people with disabilities

If I weren’t trying to put this together between other tasks, I’m sure that I could go on and on, providing all kinds of examples of how AI could be used to help people with disabilities, but I’m going to make this last section into a bit of a lightning round. In no particular order:

• Voice preservation. You may have seen the VALL-E paper or Apple’s Global Accessibility Awareness Day announcement or you may be familiar with the voice-preservation offerings from Microsoft, Acapela, or others. It’s possible to train an AI model to replicate your voice, which can be a tremendous boon for people who have ALS (Lou Gehrig’s disease) or motor-neuron disease or other medical conditions that can lead to an inability to talk. This is, of course, the same tech that can also be used to create audio deepfakes, so it’s something that we need to approach responsibly, but the tech has truly transformative potential.
• Voice recognition. Researchers like those in the Speech Accessibility Project are paying people with disabilities for their help in collecting recordings of people with atypical speech. As I type, they are actively recruiting people with Parkinson’s and related conditions, and they have plans to expand this to other conditions as the project progresses. This research will result in more inclusive data sets that will let more people with disabilities use voice assistants, dictation software, and voice-response services as well as control their computers and other devices more easily, using only their voice.
• Text transformation. The current generation of LLMs is quite capable of adjusting existing text content without injecting hallucinations. This is hugely empowering for people with cognitive disabilities who may benefit from text summaries or simplified versions of text or even text that’s prepped for Bionic Reading.

The importance of diverse teams and data

We need to recognize that our differences matter. Our lived experiences are influenced by the intersections of the identities that we exist in. These lived experiences—with all their complexities (and joys and pain)—are valuable inputs to the software, services, and societies that we shape. Our differences need to be represented in the data that we use to train new models, and the folks who contribute that valuable information need to be compensated for sharing it with us. Inclusive data sets yield more robust models that foster more equitable outcomes.

Want a model that doesn’t demean or patronize or objectify people with disabilities? Make sure that you have content about disabilities that’s authored by people with a range of disabilities, and make sure that that’s well represented in the training data.

Want a model that doesn’t use 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. That being said, when it comes to sensitivity reading, AI models won’t be replacing human copy editors anytime soon. 

Want a coding copilot that gives you accessible recommendations from the jump? Train it on code that you know to be accessible.

I have no doubt that AI can and will harm people… today, tomorrow, and well into the future. But I also believe that we can acknowledge that and, with an eye towards accessibility (and, more broadly, inclusion), make thoughtful, considerate, and intentional changes in 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 helping me with the development of this piece, Ashley Bischoff for her invaluable editorial assistance, and, of course, Joe Dolson for the prompt.

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 beginning of website 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 better server-side instruments came the first time of online applications, starting with content-management systems ( especially in the blog space with tools like Blogger, Grey Matter, Movable Type, and WordPress ). AJAX opened the door to sequential connection between the front end and back end in the mid-2000s. Immediately, websites may update their information without needing to refresh. A grain of JavaScript structures, including Prototype, YUI, and jQuery, were created to aid designers in creating more trustworthy client-side interactions across browsers with wildly varying standards support. Techniques like photo replacement enable skilled manufacturers and developers to show fonts of their choosing. And technology like Flash made it possible to include movies, sports, and even more engagement.

These new technology, standards, and approaches reinvigorated the market in many ways. As manufacturers and designers explored more diversified designs and layouts, website design flourished. However, we also relied heavily on exploits. When it came to basic layout and text styling, early CSS was a significant improvement over table-based layouts, but its limitations at the time meant that designers and developers still rely heavily on images for complex shapes ( such as rounded or angled corners ) and tiled backgrounds (among other hacks ) for the appearance of full-length columns. All kinds of nested floats or absolute positioning were required for complicated layouts ( or both ). The big five typefaces were initially influenced by display and photo alternative, but both hacks caused convenience and efficiency issues. Additionally, JavaScript libraries made it simple for anyone to add a dash of interaction to pages, even at the expense of double or even quadrupling the download size of basic websites.

The web as software platform

The 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. Alongside these tools came others, including collaborative version control, build automation, and shared package libraries. What was once primarily used for linked documents turned into a world with limitless possibilities.

At the same time, mobile devices became more capable, and they gave us internet access in our pockets. Mobile applications and responsive design opened up opportunities for fresh interactions anytime, anywhere.

This fusion of potent mobile devices and potent development tools contributed to the growth of social media and other centralized tools for user interaction and consumption. 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 to learn more about how we came to be where we are today, along with some other suggestions for improvement? ” 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 of” Internet Artifacts” is also available from Neal Agarwal.

Where we are now

In the last couple of years, it’s felt like we’ve begun to reach another major inflection point. As social-media platforms fracture and wane, there’s been a growing interest in owning our own content again. From the tried-and-true classic of hosting plain HTML files to static site generators and content management systems of all kinds, there are many different ways to create websites. We lose essential infrastructure for discovery and connection because of social media’s fracture, which also comes with a price. Webmentions, RSS, ActivityPub, and other tools of the IndieWeb can help with this, but they’re still relatively underimplemented and hard to use for the less nerdy. We can create incredible personal websites and update them frequently, but without discovery and connection, it can feel as though we could as well be yelling into the void.

Browser support for CSS, JavaScript, and other standards like web components has accelerated, especially through efforts like Interop. In a fraction of the time that they once did, new technologies receive universal support. I frequently find out about a new feature and check its browser support only to discover that its coverage is already over 80 %. Browser support is frequently the only obstacle to using newer techniques today, rather than the limitations of how quickly designers and developers can learn what’s available and how to adopt it.

Today, with a few commands and a couple of lines of code, we can prototype almost any idea. With all the tools we currently have, it is simpler than ever to launch a new venture. 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.

Adopting new standards can sometimes take longer if we rely on third-party frameworks because we might have to wait for those frameworks to adopt those standards. These frameworks—which used to let us adopt new techniques sooner—have now become hindrances instead. Users must wait for scripts to load before they can read or interact with pages, as these same frameworks frequently come with performance costs as well. And when scripts fail ( whether through poor code, network issues, or other environmental factors ), there’s often no alternative, leaving users with blank or broken pages.

Where do we go from here?

Today’s hacks help to shape tomorrow’s standards. And there’s nothing inherently wrong with embracing hacks —for now—to move the present forward. Problems only arise when we refuse to acknowledge that they are hacks or when we refuse to take their place. What can we do to create the web’s future, then?

Build for the long haul. Optimize for performance, for accessibility, and for the user. Weigh the costs of those developer-friendly tools. How might they affect everything else if they make your job a little easier today? What’s the cost to users? To future developers? To standards adoption? Sometimes the convenience may be worth it. It’s occasionally just a hack that you’ve gotten used to. And occasionally, it prevents you from pursuing better options.

Start from standards. Although standards change over time, browsers have done a remarkably good job of staying current with outdated standards. The same isn’t always true of third-party frameworks. Even the most heinous of HTML from the 1990s still function perfectly today. The same can’t always be said of websites created with frameworks even after a few years.

Design with care. Whether your craft is code, pixels, or processes, consider the impacts of each decision. Many modern tools have the convenience of having the ability to understand the underlying decisions that have led to their creation and to not always consider the effects 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 always learning, you’re also growing. 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 in your brain, and the techniques you learn in one day may be used to inform different experiments in the future.

Play, experiment, and be weird! This web that we’ve built is the ultimate experiment. Despite being the single largest human endeavor in human history, each of us has the ability to make their own money there. Be courageous and try new things. Build a playground for ideas. Create absurd experiments in your own crazy science lab. Start your own small business. There has never been a more empowering place to be creative, take risks, and explore what we’re capable of.

Share and amplify. As you experiment, play, and learn, share what’s worked for you. 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 forth and make

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 imbue our values into the things that we create, and let’s make the web a better place for everyone. Create something that you are uniquely qualified to make. Then share it, make it better, make it again, or make something new. Learn. Make. Share. Grow. Rinse and repeat. Every time you think that you’ve mastered the web, everything will change.

Picture this. You’ve joined a squad at your company that’s designing new product features with an emphasis on automation or AI. Or your company has just implemented a personalization engine. Either way, you’re designing with data. Now what? When it comes to designing for personalization, there are many cautionary tales, no overnight successes, and few guides for the perplexed. 

Between the fantasy of getting it right and the fear of it going wrong—like when we encounter “persofails” in the vein of a company repeatedly imploring everyday consumers to buy additional toilet seats—the personalization gap is real. It’s an especially confounding place to be a digital professional without a map, a compass, or a plan.

For those of you venturing into personalization, there’s no Lonely Planet and few tour guides because effective personalization is so specific to each organization’s talent, technology, and market position. 

But you can ensure that your team has packed its bags sensibly.

There’s a DIY formula to increase your chances for success. At minimum, you’ll defuse your boss’s irrational exuberance. Before the party you’ll need to effectively prepare.

We call it prepersonalization.

Behind the music

Consider Spotify’s DJ feature, which debuted this past year.

We’re used to seeing the polished final result of a personalization feature. Before the year-end award, the making-of backstory, or the behind-the-scenes victory lap, a personalized feature had to be conceived, budgeted, and prioritized. Before any personalization feature goes live in your product or service, it lives amid a backlog of worthy ideas for expressing customer experiences more dynamically.

So how do you know where to place your personalization bets? How do you design consistent interactions that won’t trip up users or—worse—breed mistrust? We’ve found that for many budgeted programs to justify their ongoing investments, they first needed one or more workshops to convene key stakeholders and internal customers of the technology. Make yours count.

​From Big Tech to fledgling startups, we’ve seen the same evolution up close with our clients. In our experiences with working on small and large personalization efforts, a program’s ultimate track record—and its ability to weather tough questions, work steadily toward shared answers, and organize its design and technology efforts—turns on how effectively these prepersonalization activities play out.

Time and again, we’ve seen effective workshops separate future success stories from unsuccessful efforts, saving countless time, resources, and collective well-being in the process.

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

1. customer experience optimization (CXO, also known as A/B testing or experimentation)
2. always-on automations (whether rules-based or machine-generated)
3. mature features or standalone product development (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. You won’t need these cards. But we strongly recommend that you create something similar, whether that might be digital or physical.

Set your kitchen timer

How long does it take to cook up a prepersonalization workshop? The surrounding assessment activities that we recommend including can (and often do) span weeks. For the core workshop, we recommend aiming for two to three days. Here’s a summary of our broader approach along with details on the essential first-day activities.

The full arc of the wider workshop is threefold:

1. Kickstart: This sets the terms of engagement as you focus on the opportunity as well as the readiness and drive of your team and your leadership. .
2. 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.
3. Work your plan: This phase is all about creating a competitive environment for team participants to individually pitch their own pilots that each contain a proof-of-concept project, its business case, and its operating model.

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

Kickstart: Whet your appetite

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

Spark conversation by naming consumer examples and business-to-business examples of connected experience interactions that you admire, find familiar, or even dislike. 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 catalog of these in the cards. Here’s a list of 142 different interactions to jog your thinking.

This is all about setting the table. What are the possible paths for the practice in your organization? If you want a broader view, here’s a long-form primer and a strategic framework.

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 divide connected experiences into five levels: functions, features, experiences, complete products, and portfolios. Size your own build here. This will help to focus the conversation on the merits of ongoing investment as well as the gap between what you deliver today and what you want 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 critical because it emphasizes how personalization can not only help your external customers but also affect your own ways of working. 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 vote on where they see your product or service putting its emphasis. Naturally, you can’t prioritize all of them. The intention here is to flesh out how different departments may view their own upsides to the effort, which can vary from one 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 naming your personalization gap. Is your customer journey well documented? Will data and privacy compliance be too big of a challenge? Do you have content metadata needs that you have to address? (We’re pretty sure that you do: it’s just a matter of recognizing the relative size of that need and its remedy.) In our cards, we’ve noted a number of program risks, including common team dispositions. Our Detractor card, for example, lists six stakeholder behaviors that hinder progress.

Effectively collaborating and managing expectations is critical to your success. Consider the potential barriers to your future progress. Press the participants to name specific steps to overcome or mitigate those barriers in your organization. As studies have shown, personalization efforts face many common barriers.

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

Hit that test kitchen

Next, let’s look at what you’ll need to bring your personalization recipes to life. Personalization engines, which are robust software suites for automating and expressing dynamic content, can intimidate new customers. Their capabilities are sweeping and powerful, and they present broad options for how your organization can conduct its activities. This presents the question: Where do you begin when you’re configuring a connected experience?

What’s important here is to avoid treating the installed software like it were a dream kitchen from some fantasy remodeling project (as one of our client executives memorably 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.

The ultimate menu of the prioritized backlog will come together over the course of the workshop. 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 come from recipes, and those recipes have set ingredients.

Verify your ingredients

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

This isn’t just about discovering requirements. Documenting your personalizations as a series of if-then statements lets the team: 

1. compare findings toward a unified approach for developing features, not unlike when artists paint with the same palette; 
2. specify a consistent set of interactions that users find uniform or familiar; 
3. and develop parity across performance measurements and key performance indicators too. 

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.

Compose your recipe

What ingredients are important to you? Think of a who-what-when-why construct: 

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

We first developed these cards and card categories five years ago. We regularly play-test their fit with conference audiences and clients. And we still encounter new possibilities. But they all follow an underlying who-what-when-why logic.

Here are three examples for a subscription-based reading app, which you can generally follow along with right to left in the cards in the accompanying photo below. 

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: When there’s a newly registered user, an email is generated to call out the breadth of the content catalog and to make them a happier subscriber.
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 useful preworkshop activity may be to think through a first draft of what these cards might be for your organization, although we’ve also found that this process sometimes flows best through cocreating the recipes themselves. 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.

You can think of the later stages of the workshop as moving from recipes toward a cookbook in focus—like a more nuanced customer-journey mapping. Individual “cooks” will pitch their recipes to the team, using a common jobs-to-be-done format so that measurability and results are baked in, and from there, the resulting collection will be prioritized for finished design and delivery to production.

Better kitchens require better architecture

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

When personalization becomes a laugh line, it’s because a team is overfitting: they aren’t designing with their best data. Like a sparse pantry, every organization has metadata debt to go along with its technical debt, and this creates a drag on personalization effectiveness. Your AI’s output quality, for example, is indeed limited 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 definitely stand the heat…

Personalization technology opens a doorway into a confounding ocean of possible designs. Only a disciplined and highly collaborative approach will bring about the necessary focus and intention to succeed. So banish the dream kitchen. Instead, hit the test kitchen to save time, preserve job satisfaction and security, and safely dispense with the fanciful ideas that originate upstairs of the doers in your organization. There are meals to serve and mouths to feed.

This workshop framework gives you a fighting shot at lasting success as well as sound beginnings. Wiring up your information layer isn’t an overnight affair. But if you use the same cookbook and shared recipes, you’ll have solid footing for success. We designed these activities to make your organization’s needs concrete and clear, long before the hazards pile up.

While there are associated costs toward investing in this kind of technology and product design, your ability to size up and confront your unique situation and your digital capabilities is time well spent. Don’t squander it. The proof, as they say, is in the pudding.

Ever since I was a boy, I’ve been fascinated with movies. I loved the characters and the excitement—but most of all the stories. I wanted to be an actor. And I believed that I’d get to do the things that Indiana Jones did and go on exciting adventures. I even dreamed up ideas for movies that my friends and I could make and star in. But they never went any further. I did, however, end up working in user experience (UX). Now, I realize that there’s an element of theater to UX—I hadn’t really considered it before, but user research is storytelling. And to get the most out of user research, you need to tell a good story where you bring stakeholders—the product team and decision makers—along and get them interested in learning more.

Think of your favorite movie. More than likely it follows a three-act structure that’s commonly seen in storytelling: the setup, the conflict, and the resolution. The first act shows what exists today, and it helps you get to know the characters and the challenges and problems that they face. Act two introduces the conflict, where the action is. Here, problems grow or get worse. And the third and final act is the resolution. This is where the issues are resolved and the characters learn and change. I believe that this structure is also a great way to think about user research, and I think that it can be especially helpful in explaining user research to others.

Use storytelling as a structure to do research

It’s sad to say, but many have come to see research as being expendable. If budgets or timelines are tight, research tends to be one of the first things to go. Instead of investing in research, some product managers rely on designers or—worse—their own opinion to make the “right” choices for users based on their experience or accepted best practices. That may get teams some of the way, but that approach can so easily miss out on solving users’ real problems. To remain user-centered, this is something we should avoid. User research elevates design. It keeps it on track, pointing to problems and opportunities. Being aware of the issues with your product and reacting to them can help you stay ahead of your competitors.

In the three-act structure, each act corresponds to a part of the process, and each part is critical to telling the whole story. Let’s look at the different acts and how they align with user research.

Act one: setup

The setup is all about understanding the background, and that’s where foundational research comes in. Foundational research (also called generative, discovery, or initial research) helps you understand users and identify their problems. You’re learning about what exists today, the challenges users have, and how the challenges affect them—just like in the movies. To do foundational research, you can conduct contextual inquiries or diary studies (or both!), which can help you start to identify problems as well as opportunities. It doesn’t need to be a huge investment in time or money.

Erika Hall writes about minimum viable ethnography, which can be as simple as spending 15 minutes with a user and asking them one thing: “‘Walk me through your day yesterday.’ That’s it. Present that one request. Shut up and listen to them for 15 minutes. Do your damndest to keep yourself and your interests out of it. Bam, you’re doing ethnography.” According to Hall, “[This] will probably prove quite illuminating. In the highly unlikely case that you didn’t learn anything new or useful, carry on with enhanced confidence in your direction.”  

This makes total sense to me. And I love that this makes user research so accessible. You don’t need to prepare a lot of documentation; you can just recruit participants and do it! This can yield a wealth of information about your users, and it’ll help you better understand them and what’s going on in their lives. That’s really what act one is all about: understanding where users are coming from. 

Jared Spool talks about the importance of foundational research and how it should form the bulk of your research. If you can draw from any additional user data that you can get your hands on, such as surveys or analytics, that can supplement what you’ve heard in the foundational studies or even point to areas that need further investigation. Together, all this data paints a clearer picture of the state of things and all its shortcomings. And that’s the beginning of a compelling story. It’s the point in the plot where you realize that the main characters—or the users in this case—are facing challenges that they need to overcome. Like in the movies, this is where you start to build empathy for the characters and root for them to succeed. And hopefully stakeholders are now doing the same. Their sympathy may be with their business, which could be losing money because users can’t complete certain tasks. Or maybe they do empathize with users’ struggles. Either way, act one is your initial hook to get the stakeholders interested and invested.

Once stakeholders begin to understand the value of foundational research, that can open doors to more opportunities that involve users in the decision-making process. And that can guide product teams toward being more user-centered. This benefits everyone—users, the product, and stakeholders. It’s like winning an Oscar in movie terms—it often leads to your product being well received and successful. And this can be an incentive for stakeholders to repeat this process with other products. Storytelling is the key to this process, and knowing how to tell a good story is the only way to get stakeholders to really care about doing more research. 

This brings us to act two, where you iteratively evaluate a design or concept to see whether it addresses the issues.

Act two: conflict

Act two is all about digging deeper into the problems that you identified in act one. This usually involves directional research, such as usability tests, where you assess a potential solution (such as a design) to see whether it addresses the issues that you found. The issues could include unmet needs or problems with a flow or process that’s tripping users up. Like act two in a movie, more issues will crop up along the way. It’s here that you learn more about the characters as they grow and develop through this act. 

Usability tests should typically include around five participants according to Jakob Nielsen, who found that that number of users can usually identify most of the problems: “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 fifth user, you are wasting your time by observing the same findings repeatedly but not 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. Having fewer participants means that each user’s struggles will be more memorable and easier to relay to other stakeholders when talking about 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.

Researchers have run usability tests in person for decades, but you can also conduct usability tests remotely using tools 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 can think of in-person usability tests like going to a play and remote sessions as more like watching a movie. There are advantages and disadvantages to each. In-person usability research is a much richer experience. Stakeholders can experience the sessions with other stakeholders. You also get real-time reactions—including surprise, agreement, disagreement, and discussions about 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 in-person usability testing is like watching a play—staged and controlled—then conducting usability testing in the field is like immersive theater where any two sessions might 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 go out to meet users at their location to do your research. With either option, you get to see how things work in context, things come up that wouldn’t have in a lab environment—and conversion can shift in entirely different directions. As researchers, you have less control over how these sessions go, but this can sometimes help you understand users even better. 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 provide another level of detail that’s often missing from remote usability tests. 

That’s not to say that the “movies”—remote sessions—aren’t a good option. Remote 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. And they open the doors to a much wider geographical pool of users. But with any remote session there is the potential of time wasted if participants can’t log in or get their microphone working. 

The benefit of usability testing, whether remote or in person, is that you get to see real users interact with the designs in real time, and you can ask them questions to understand their thought processes and grasp of the solution. This can help you not only identify problems but also glean why they’re problems in the first place. Furthermore, you can test hypotheses and gauge whether your thinking 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 the heart of the story—where the excitement is—but there can be surprises too. This is equally true of usability tests. Often, participants will say unexpected things, which change the way that you look at things—and these twists in the story can move things in new directions. 

Unfortunately, user research is sometimes seen as expendable. And too often usability testing is the only research process that some stakeholders think that they ever need. 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. That’s because you’re narrowing the focus of what you’re getting feedback on, without understanding the users’ needs. As a result, there’s no way of knowing whether the designs might solve a problem that users have. It’s only feedback on a particular design in the context of a usability test.  

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 illustrates the importance of doing both foundational and directional 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 help motivate stakeholders to address the issues that come up.

Act three: resolution

While the first two acts are about understanding the background and the tensions that can propel stakeholders into action, the third part is about resolving the problems from the first two acts. 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 means the whole product team, including developers, UX practitioners, business analysts, delivery managers, product managers, and any other stakeholders that have a say in the next steps. It allows the whole team to hear users’ feedback together, ask questions, and discuss what’s possible within the project’s constraints. And it lets the UX research and design teams clarify, suggest alternatives, or give more context behind their decisions. So you can get everyone on the same page and get agreement on the way forward.

This act is mostly told in 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 give the stakeholders their recommendations and their guidance on creating this vision.

Nancy Duarte in the Harvard Business Review offers an approach to structuring presentations that follow a persuasive story. “The most effective presenters use the same techniques as great storytellers: By reminding people of the status quo and then revealing the path to a better way, they set up a conflict that needs to be resolved,” writes 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 evidence for “what is”—the problems that you’ve identified. And “what could be”—your recommendations on how to address them. And so on 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 mockups of how a new design could look that solves a problem. These can help generate conversation and momentum. And this continues until the end of the session when you’ve wrapped everything up in the conclusion by summarizing the main issues and suggesting a way forward. 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 gives stakeholders the next steps and hopefully the momentum 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. All the elements of a good story are there in the three-act structure of user research: 

• Act one: You meet the protagonists (the users) and the antagonists (the problems affecting users). This is the beginning of the plot. In act one, researchers might use methods including contextual inquiry, ethnography, diary studies, surveys, and analytics. The output of these methods can include personas, empathy maps, user journeys, and analytics dashboards.

• Act two: Next, there’s character development. There’s conflict and tension as the protagonists encounter problems and challenges, which they must overcome. In act two, researchers might use methods including usability testing, competitive benchmarking, and heuristics evaluation. The output of these can include usability findings reports, UX strategy documents, usability guidelines, and best practices.

• Act three: The protagonists triumph and you see what a better future looks like. In act three, researchers may use methods including presentation decks, storytelling, and digital media. The output of these can be: presentation decks, video clips, audio clips, and pictures. 

The researcher has multiple roles: they’re the storyteller, the director, and the producer. The participants have a small role, but they are significant characters (in the research). And the stakeholders are the audience. But the most important thing is to get the story right and to use storytelling to tell users’ stories through research. By the end, the stakeholders should walk away with a purpose and an eagerness to resolve the product’s ills. 

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. Ultimately, user research is a win-win for everyone, and you just need to get stakeholders interested in how the story ends.

In the coming weeks, there will be new sitcom on UK television: Daisy May Cooper and Selin Hizli’s Am I Being Absurd?, and the third and final line of Jack Rooke’s excellent Great Boys.

The article UK TV Premiere Dates: 2025 Calendar appeared initially on Den of Geek.

If you’ve followed The White Lotus for the past few months, you’ll realize that when and who may pass away is always more important than when. According to the recently released standard season 3 trailer, it appears as though this trip might be even stranger because at least one body bag appears and a violent robbery is depicted among the regional crime that threatens the exquisite Thailand resort. Offer it a see below.

Mike White, the line ‘ father, has already made a series-related joke about how death will be on the horizon. According to White,” the second period kind of emphasized money, and the subsequent season was sex, and I believe the third season will be a satirical and humorous look at death and eastern religion and spirituality.” It doesn’t seem possible that a period about death will end with just one body, despite the fact that he doesn’t say whether there will be more than one death this season.

We also see an increasingly worried and stressed out Jason Isaacs ( who has an excellent Southern voice in this by the means ) loading a firearm without a clear intended target, along with the system bag and the regional crime both depicted and mentioned in the trailer.

Belinda ( Natasha Rothwell ), who appears to be trying to get over what transpired in Maui in season 1, may have found herself in a dangerous situation as well. We hear her discussing with hotel employees about reaching out to the authorities, and about leaving in a “goddamn body bag” with someone at dinner.

Many of the characters in this time give the impression that they are trying to escape something, just like many White Lotus characters do. But as some of them may soon know, fatality comes for us all, whether we’re prepared for it or not. &nbsp,

But with dying usually comes resurrection. ” At the end of the year, you will be an entirely different person”, says the speech at the beginning of the video. We might be seeing more than just dying in the literal sense if this time actually explores concepts of Eastern religion and spirituality in relation to suicide. We could also see the demise of thoughts, actions, or other parts of these figures ‘ pasts as they are reborn from their experiences at the White Lotus – both good, bad, and everything in between.

Based on the show’s trailer and previous seasons, we are aware that at least one body will appear this season. This season’s cast is stacked, and we cannot wait to get to know these characters, no matter how long they might last. Who will and won’t survive this season of The White Lotus will undoubtedly be entertaining to watch.

The White Lotus season 3 premieres Sunday, February 16 at 9 p. m. ET on HBO.

The White Lotus Season 3 Trailer Teases More Death Than Usual a la Den of Geek.

Also, Russell T Davies didn’t write them all himself, is he? It’s been typical information to users of Doctor Who Magazine that set 15/season-two-as-they-insist-on-calling-it will have four shows written by producer Davies, plus four by other artists. Had Steven Moffat once more enter the Who retirement pool? Would” Rogue “‘s Kate Herron and Briony Redman return for ]…]

The blog Kerblam! The initial episode of Den of Geek was written for Doctor Who Series 15 Plus Three Newcomers.

If you’ve followed The White Lotus for the past few months, you’ll realize that when and who may pass away is always more important than when. According to the recently released established season 3 trailer, it appears as though this trip might be even stranger because at least one body bag is visible and a violent robbery is depicted among the native crime, which threatens the lovely Thailand resort. Offer it a see below.

Mike White, the line ‘ father, has already made a tease about how this season will be about suicide. According to White,” The first time sort of highlighted money, and then the next season is sex, and I think the second season will be a humorous and humorous look at death and eastern religion and spirituality.” It seems unlikely that a year about death may end with just one body, despite the fact that he doesn’t say if there will be more than one death this season.

We also see an increasingly worried and stressed out Jason Isaacs ( who has an excellent Southern voice in this by the means ) loading a firearm without a clear intended target, along with the system bag and the regional crime both depicted and mentioned in the trailer.

Belinda ( Natasha Rothwell ), who appears to be trying to get over what transpired in Maui in season 1, may have stumbled into something dangerous as well. We hear her discussing with hotel employees about reaching out to the authorities, and about leaving in a “goddamn body bag” with someone at dinner.

Many of the characters in this time give the impression that they are trying to escape something, just like many White Lotus characters do. But as some of them may soon know, fatality comes for us all, whether we’re prepared for it or not. &nbsp,

But with dying usually comes resurrection. ” At the end of the year, you will be an entirely different person”, says the speech at the beginning of the video. If this time actually explores concepts of Eastern religion and spirituality in relation to suicide, we might be seeing more than just dying in the simplest terms. We could also see the demise of thoughts, actions, or other parts of these figures ‘ histories as they are reborn from their experience at the White Lotus – both good, bad, and everything in between.

Based on the show’s trailer and previous seasons, we are aware that at least one body will appear this season. This season’s cast is stacked, and we cannot wait to get to know these characters, no matter how long they might last. It’ll undoubtedly be entertaining to see who will and won’t survive this season of The White Lotus.

The White Lotus season 3 premieres Sunday, February 16 at 9 p. m. ET on HBO.

The White Lotus Season 3 Trailer Teases More Death Than Usual Originally appeared on Den of Geek.

Conclave, a film that won eight Awards, including Best Picture and Best Actor, is becoming somewhat of a Best Picture much chance, but conventional wisdom suggests it is already somewhat of a Best Picture lengthy chance. While the Vatican movie received a host of nominations, including a Best ]…]

The first article on Den of Geek was titled Oscars: The Case for How Conclave Wins Best Image.

If you’ve followed The White Lotus for the past couple of months, you’re aware that it’s not really about whether someone did pass away, but rather when and who. According to the recently released established season 3 trailer, it appears as though this trip might be even stranger because at least one body bag appears and a violent robbery is depicted among the regional crime that threatens the lovely Thailand resort. Offer it a see below.

Mike White, the line ‘ father, has already made a tease about how this season will be about suicide. The second period kind of focused on money, followed by sex, and I believe the next season will be a sarcastic and humorous look at death and eastern religion and spirituality, White says. It doesn’t seem possible that a time about death may end with just one body, despite the fact that he doesn’t say whether there will be more than one death this season.

We also see an increasingly worried and stressed out Jason Isaacs ( who has an excellent Southern voice in this by the means ) loading a firearm without a clear intended target, along with the system bag and the regional crime both depicted and mentioned in the trailer.

Belinda ( Natasha Rothwell ), who appears to be trying to get over what transpired in Maui in season 1, may have stumbled into something dangerous as well. We hear her discussing leaving the hotel with a “goddamn body bag” and talking to beach staff about reaching out to the authorities at dinner.

Many of the characters in this time give the impression that they are trying to escape things, just like they do for White Lotus characters. But as some of them may soon know, fatality comes for us all, whether we’re prepared for it or not. &nbsp,

But with dying usually comes resurrection. ” At the end of the year, you will be an entirely different person”, says the speech at the beginning of the video. We might be seeing more than just dying in the literal sense if this time actually explores concepts of Eastern religion and spirituality in relation to suicide. We could also see the demise of thoughts, actions, or other parts of these figures ‘ histories as they are reborn from their experience at the White Lotus – both good, poor, and everything in between.

Despite the trailer and past seasons of the present, we know that there will be at least one physique this season. This month’s put is stacked, and we cannot rush to get to know these figures, no matter how much they may continue. It’ll undoubtedly been entertaining to see who will and won’t live this time of The White Lotus.

The White Lotus year 3 premieres Sunday, February 16 at 9 p. m. ET on HBO.

The White Lotus Season 3 Video Tells More Death Than Common Originally appeared on Den of Geek.