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In today’s data-driven environment, it’s becoming more and more possible for you to be asked to create a personal electronic expertise, whether it’s a common website, consumer portal, or indigenous application. However while there continues to be no lack of marketing buzz around personalization systems, we also have very few defined approaches for implementing personalized UX.

That’s where we begin. After completing tens of personalisation projects over the past few years, we gave ourselves a purpose: could you make a systematic personalization platform especially for UX practitioners? A human-centered personalization program that includes data, classification, content delivery, and total objectives can be compared to the Personalization Pyramid, a design-focused design. 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

We’ll assume that you are already comfortable with the fundamentals of modern personalization for the purposes of this article. 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.

Common scenarios for starting a personalisation task:

• Your business or client made a purchase to support personalization of 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 unclear or disjointed.
• You are running some secluded targeting strategies or A/B tests
• On personalization strategy, participants disagree.
• Mandate of customer privacy rules ( e. g. GDPR ) requires revisiting existing user targeting practices

Regardless of where you begin, a powerful personalization system will require the same key creating stones. These are the “levels” on the tower, as we’ve made them. Whether you are a UX artist, scholar, or planner, understanding the core components may help make your contribution effective.

From top to bottom, the amounts include:

North Star: What larger geopolitical goal is driving the personalization system?
1. Objectives: What are the specific, tangible benefits of the system?
2. Touchpoints: Where will you get customized service?
3. Contexts and Campaigns: What personalization information does the person view?
4. What makes up a distinct, useable viewers according to consumer segments?
5. Actionable Data: What dependable and credible information is captured by our professional platform to generate personalization?
6. What wider set of data is conceivable ( now in our environment ) to allow you to optimize?

We’ll go through each of these amounts in change. An associated deck of cards was created to demonstrate specific examples from each level to make this more meaningful. We’ve found them helpful in customisation pondering periods, and will include cases for you here.

Starting at the Top

The elements of the pyramids are as follows:

North Star

Ultimately, you want a North Star in your personalization plan, whether big or small. The North Star defines the (one ) overall mission of the personalization program. What do you hope to accomplish? North Stars cast a ghost. The larger the sun, the larger the dark. Example of North Starts may include:

Function: Personalized based on fundamental customer sources. Examples:” Raw” messages, basic search effects, system user settings and settings options, general flexibility, basic improvements
1. Self-contained personalisation component is a feature. Examples:” Cooked” notifications, advanced optimizations ( geolocation ), basic dynamic messaging, customized modules, automations, recommenders
2. Experience: Individualized customer experiences across a variety of interactions and customer flows. Examples: Email campaigns, landing pages, advanced messaging ( i. e. C2C chat ) or conversational interfaces, larger user flows and content-intensive optimizations ( localization ).
3. Solution: Highly distinctive, personalized solution experiences. Example: Standalone, branded encounters with personalization at their base, like the “algotorial” songs by Spotify quite as Discover Weekly.

Goals

Personalization can aid in developing with client intentions, just like it is with any great UX design. Goals are the military and quantifiable metrics that may prove the entire program is effective. Start with your existing analytics and assessment system, as well as indicators you can benchmark against. In some cases, new targets may be ideal. The most important thing to keep in mind is that personalisation is never a desired outcome. Popular targets include:

• Conversion
• Time spent on work
• Net promoter score ( NPS)
• achievement of the client

Touchpoints

Touchpoints are where the personalisation happens. One of your main responsibilities as a UX artist will be in this area. The connections available to you will depend on how your personalization and associated technology features are instrumented, and should be rooted in improving a person’s experience at a certain point in the trip. Touchpoints can be multi-device ( mobile, in-store, website ), as well as more specific ( web banner, web pop-up, etc. ). Voici some illustrations:

Touchpoints at the channel level

• Email: Role
• Email opens at what time?
• In-store display ( JSON endpoint )
• Native app
• Search

Wireframe-level Touchpoints

• Web overlay
• Web alert bar
• Web banner
• Web content block
• menu on the web

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 identified some touchpoints, you can decide what kind of 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 to specific user segments programmatically, 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 the user’s level of engagement at the personalization moment, such as when they are casually browsing information or deep-dive. Think of it in terms of information retrieval behaviors. 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

Content model for personalization:

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

We’ve written a lot about each of these models elsewhere, so if you’d like to read more, check out Colin’s Personalization Content Model and Jeff’s Personalization Context Model.

User Groups

User segments can be created prescriptively or adaptively, based on user research ( e. g. via rules and logic tied to set user behaviors or via A/B testing ). You will need to think about 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 who is logged in at the very least. Here are some examples from the personalization pyramid:

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

Actionable Data

Every organization with any digital presence has data. It’s important to inquire about how to use the data you can ethically collect on users, its inherent reliability and value, and what is the term for “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 has a number of benefits for the user experience, including being relatively simple to collect, more likely to be accurate, and less susceptible to the” creep factor” of third-party data. So a key part of your UX strategy should be to determine what the best form of data collection is on your audiences. Voici some illustrations:

There is a progression of profiling when it comes to recognizing and making decisioning about different audiences and their signals. As user data volume and time and confidence increase, it varies more granularly to more precise constructs about ever-smaller cohorts of users.

While some combination of implicit / explicit data is generally a prerequisite for any implementation ( more commonly referred to as first party and third-party data ) ML efforts are typically not cost-effective directly out of the box. This is because optimization requires a strong data backbone and content repository. But these approaches should be considered as part of the larger roadmap and may indeed help accelerate the organization’s overall progress. You’ll typically work together to create a profiling model with key stakeholders and product owners. The profiling model includes defining approach to configuring profiles, profile keys, profile cards and pattern cards. a scalable, multi-faceted approach to profiling.

Pulling it Together

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

In assembling a card “hand”, one can begin to trace the entire trajectory from leadership focus down through a strategic and tactical execution. It serves as the foundation for the workshops that both co-authors have conducted to build a program backlog, which would make a good article topic.

In the meantime, what is important to note is that each colored class of card is helpful to survey in understanding the range of choices potentially at your disposal, it is threading through and making concrete decisions about for whom this decisioning will be made: where, when, and how.

Lay Down Your Cards

Any effective personalization strategy must take into account near, middle, and long-term objectives. Even with the leading CMS platforms like Sitecore and Adobe or the most exciting composable CMS DXP out there, there is simply no “easy button” wherein a personalization program can be stood up and immediately view meaningful results. Having said that, all personalization activities follow a common grammar, similar to how every sentence contains nouns and verbs. These cards attempt to map that territory.

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

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

The Absurd Pate of Justin: A Tale

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

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

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

Those are amazing factors between non-career relationships and the world of design, even though I’m referring to a different era. What are your main passions, or ideals, that elevate medium? The main themes remain the same, much like the primary parallels between what fulfills you, who is independent of the physical or digital worlds.

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

For instance, this iteration of my personal portfolio site (” the pseudoroom” ) from that time was experimental if not a little overt in terms of the visual presentation of the idea of a living sketchbook. Quite skeuomorphic. On this one, we would first picture and then slip a Photoshop record back and forth to key things up and play with various customer interactions. I co-founded the creative task organizing app Milanote and my dear friend, fellow designer Marc Clancy. Finally, I’d break it down and protocol it into a modern layout.

Along with pattern book pieces, the site even offered free downloads for Mac OS customizations: desktop wallpapers that were successfully design experimentation, custom-designed typefaces, and desktop icons.

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

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

We as designers had changed and developed a bandwidth-sensitive, award-winning, much more accessibility-conscious website. Still ripe with experimentation, yet more mindful of equitable engagement. There are a few content panes here, with both Mac-focused news and general news (tech, design ) to be seen. We also offered many of the custom downloads I cited before as present on my folio site but branded and themed to GUI Galaxy.

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

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

Why am I taking you on this journey of design memory lane, now? Two reasons.

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

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

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

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

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

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

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

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

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

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

Kaliber 1000 is short for K10k. K10k was founded in 1998 by Michael Schmidt and Toke Nygaard, and was the design news portal on the web during this period. It was the ideal setting for me, my friend, with its pixel art-filled presentation, meticulous attention to detail, and many of the site’s more well-known designers who were invited to be news authors. With respect where respect is due, GUI Galaxy’s concept was inspired by what these folks were doing.

For my part, the combination of my web design work and pixel art exploration began to get me some notoriety in the design scene. K10k eventually figured out and added me as one of their very limited group of news writers to add 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 actually changed into a colossal asshole in about a year of school, not less. The press and the praise became what fulfilled me, and they went straight to my head. They inflated my ego. I actually felt somewhat superior to my fellow designers.

The casualties? My design stagnated. Its evolution, which is what I evolved, has stagnated.

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

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

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

Always Students

Following that temporary regression, I was able to advance in both my personal and professional design. And I could self-reflect as I got older to facilitate further growth and course correction as needed.

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

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

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

I cut my teeth on usability testing, working with the Fermilab team to iterate and improve the interface. To me, their language and the topics they discussed seemed foreign. And by making myself humble and working under the mindset that I was but a student, I made myself available to be a part of their world to generate that vital connection.

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

So to those core drivers of my visual problem-solving soul and ultimate fulfillment: discovery, exposure to new media, observation, human connection, and evolution. Before I entered those values, I 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. I want to pay attention to the phrases “grow” and “evolve” in particular. If we are always students of our craft, we are also continually making ourselves available to evolve. Yes, we have completed years of design research. Or the focused lab sessions from a UX bootcamp. or the work portfolio with monograms. Or, ultimately, decades of a career behind us.

However, with all that being said, “experience” does not equate to “expert.”

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

I have a creative side. Alchemy is what I do. It is a puzzle. I don’t perform it as much as I let it be done by me.

I am imaginative. This brand is not appropriate for all creatives. Not everyone see themselves in this manner. Some innovative individuals incorporate technology into their work. That is their perception, and I regard it. Perhaps I also have a little bit of fear for them. However, my method is different; my becoming is unique.

It distracts one to apologize and qualify in progress. That’s what my head does to destroy me. I’ll leave it alone for today. I may come back later to make amends and count. after I’ve said what I should have. which is difficult enough.

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

Sometimes it does. Maybe what I need to make arrives in a flash. When I say something at that moment, I’ve learned not to say it because people often don’t work hard enough to acknowledge that the idea is the best idea even when you know it’s the best idea.

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 idea that just came along that I blurt it out and didn’t stop myself. like a child who discovered a medal in one of his Cracker Jacks. I occasionally manage to get away with this. Yes, that is the best plan, per some observers. They don’t usually, and I regret losing my joy.

Joy should only be saved for the meet, when it will matter. Certainly the informal get-together that comes before that meeting with two more discussions. Nothing understands why we hold these gatherings. We keep saying we’re going to get rid of them, but we end up merely trying to. They occasionally also are good. Sometimes they detract from the real work, though. Depending on what you do and where you do it, the ratio between when conferences are valuable and when they are a sad distraction vary. And who you are and how you go about doing it. I’ll go back and forth once more. I have a creative side. That is the style.

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

Don’t inquire about the procedure. I have a creative side.

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

I may hammer apart and often find it useful to surround myself with images or information. I can go for a move, which occasionally works. There is no connection between sizzling fuel and flowing pots, and I may be making dinner. I frequently know what to do when I awaken. The idea that may have saved me disappears almost as frequently as I become aware and a part of the world once more as a senseless wind of oblivion. For imagination, in my opinion, originates in that other world. The one that we enter in ambitions and, possibly, before and after suicide. But authors should be asking this, and I am not one of them. I have a creative side. Theologians should circulate large armies throughout their artistic globe, which they claim to be true. But that is yet another diversion. And a miserable one. Possibly on a much bigger issue than whether or not I am creative. But that’s not how I came around, though.

Often the result is evasion. also suffering. You are familiar with the adage” the tortured musician”? Even when the artist is trying to write a soft drink song, a call in a worn-out comedy, or a budget ask, that word is correct.

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

Artists acknowledge their work.

Disadvantages are aware of cons, just like queers are aware of queers, just like real rappers are aware of actual rappers are aware of cons. People have a lot of regard for designers. We respect, follow, and almost deify the excellent ones. Of course, deifying any person is a horrible error. We’ve been given a warning. We are more knowledgeable. We are aware that people are really people. Because they are clay, like us, they squabble, they are unhappy, they regret making the most important decisions, they are weak and hungry, they can be cruel, and they can be as ridiculous as we can. But. But. However, they produce this incredible issue. They give birth to something that may not exist without them and did not exist before them. They are the inspirations of thought. And I suppose I should add that they are the mother of technology because it’s just lying it. Ba ho backside! Okay, that’s all done. Continue.

Creatives denigrate our personal small accomplishments because they are compared to those of the great ones. Wonderful graphics I‘m not Miyazaki, so I‘m not. That is brilliance right now. That is glory directly from God’s heart. This unsatisfied small factor I created? It essentially fell off the back of the pumpkin truck. The carrots weren’t actually new, either.

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

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

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

I can move ten times more quickly than those who aren’t imaginative, those who have just been creative for a short while, and those who have just had a short time of creative work. Only that I work twice as quickly as they do, putting the work away, just before I do it, When I put my mind to it, I am so confident in my ability to do a wonderful career. I have an addiction to the delay hurry. I’m also so scared of jumping.

I don’t create art.

I am imaginative. never a performer. Though as a child, I had a dream that I would one day become that. Some of us criticize our abilities and like our own selves because we are not Michelangelos and Warhols. That is narcissism, but at least we don’t practice politicians.

I am imaginative. Despite my belief in reason and science, I make decisions based on my own senses and instincts. and sit in the aftermath of both the triumphs and disasters.

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

I am imaginative. I lament my lack of taste in almost all of the areas of human understanding, which I know very little about. And I put my flavor before everything else in the things that are most important to me, or perhaps more precisely, to my passions. Without my passions, I’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 much. No seriously. Actually, no. Because a lot of career is intolerable if you really look at it.

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

Working frees me from worrying about my job.

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

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

I am imaginative. I think there is the greatest secret in the process. I think I have to consider it so strongly that I actually made the foolish decision to publish an essay I wrote without having to go through or edit. I swear I didn’t do this frequently. But I did it right away because I was even more frightened of forgetting what I was saying because I was afraid of you seeing through my sad movements toward the beautiful.

There. I believe 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 development of online requirements

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

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

These new methods, requirements, and solutions greatly boosted the sector’s growth. Web style flourished as manufacturers and designers explored more different styles and designs. However, we also relied heavily on tricks. Early CSS was a huge improvement over table-based layouts when it came to basic layout and text styling, but its limitations at the time meant that designers and developers still relied heavily on images for complex shapes ( such as rounded or angled corners ) and tiled backgrounds for the appearance of full-length columns (among other hacks ). All kinds of nested floats or absolute positioning ( or both ) were necessary for complicated layouts. Display and photo substitute for specialty styles was a great start toward varying the designs from the big five, but both tricks introduced convenience and efficiency issues. Additionally, JavaScript libraries made it simple 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. Along with these tools, there were additional options, such as collaborative build automation, collaborative version control, and shared package libraries. What was once primarily an environment for linked documents became a realm of infinite possibilities.

Mobile devices increased in their capabilities as well, and they gave us access to the internet in our pockets at the same time. Mobile apps and responsive design opened up opportunities for new interactions anywhere and any time.

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

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

Where we are now

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

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

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

If we rely on third-party frameworks, adopting new standards can sometimes take longer since we may have to wait for those frameworks to adopt those standards. These frameworks, which previously made it easier to adopt new techniques sooner, have since evolved into obstacles. These same frameworks often come with performance costs too, forcing users to wait for scripts to load before they can read or interact with pages. And when scripts fail ( whether due to poor code, network issues, or other environmental factors ), users frequently have no choice but to use blank or broken pages.

Where do we go from here?

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

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

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

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

Always be learning. If you constantly learn, you also develop. Sometimes it may be hard to pinpoint what’s worth learning and what’s just today’s hack. Even if you were to concentrate solely on learning standards, you might end up focusing on something that won’t matter next year. ( Remember XHTML? ) However, ongoing learning opens up new neural connections 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 website we created is the most incredible experiment. It’s the single largest human endeavor in history, and yet each of us can create our own pocket within it. Be brave and try something new. Build a playground for ideas. Create absurd experiments in your own crazy science lab. Start your own small business. There has never been a place where we have more room to be creative, take risks, and discover our potential.

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

Go ahead and create.

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

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.

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

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

Use story as a framework for conducting research

It’s sad to say, but many have come to see studies as being inconsequential. Research is typically one of the first things to go when expenses or deadlines are tight. Instead of investing in study, some goods professionals rely on manufacturers or—worse—their personal judgment to make the “right” options for users based on their experience or accepted best practices. That may lead some groups, but that approach can so easily miss the chance to solve clients ‘ real issues. To be user-centered, this is something we really avoid. User study improves pattern. It keeps it on record, pointing to problems and opportunities. You can keep back of your competition by being aware of the problems with your goods and fixing them.

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

Act one: layout

The basic research comes in handy because the layout is all about understanding the background. Basic research ( also called conceptual, discovery, or preliminary research ) helps you understand people and identify their problems. You’re learning about the difficulties people face now, what options are available, and how those challenges impact them, just like in the films. To do basic research, you may conduct cultural inquiries or journal studies ( or both! ), which may assist you in identifying both problems and opportunities. It doesn’t need to get a great investment in time or money.

Erika Hall discusses the most effective anthropology, which can be as straightforward as spending 15 hours with a customer and asking them to” Walk me through your morning yesterday.” That’s it. Provide that one ask. Locked up and listen to them for 15 days. Do everything in your power to protect both your objectives and yourself. Bam, you’re doing ethnography”. According to Hall, “[This ] will likely prove quite fascinating. In the very unlikely event that you didn’t learn anything new or helpful, carry on with increased confidence in your way”.

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

Maybe Spool talks about the importance of basic research and how it may type the bulk of your research. If you can supplement what you’ve heard in the fundamental studies by using any more user data that you can obtain, such as surveys or analytics, to make recommendations that may need to be investigated further, you might as well use those that can be drawn from those that you can obtain. Together, all this information creates a clearer picture of the state of things and all its deficiencies. And that’s the start of a gripping tale. It’s the place in the story where you realize that the principal characters—or the people in this case—are facing issues that they need to conquer. This is where you begin to develop compassion for the figures and support their success, much like in the movies. And finally partners are now doing the same. Their business may lose money because users can’t finish particular tasks, which may be their love. Or probably they do connect with people ‘ problems. In either case, work one serves as your main strategy for piqueing interest and investment from the participants.

When partners begin to understand the value of basic research, that is open doors to more opportunities that involve users in the decision-making approach. And that can influence product team ‘ focus on improving. This gains everyone—users, the goods, and partners. It’s similar to winning an Oscar for a film because it frequently results in a favorable and successful outcome for your item. And this can be an opportunity for participants to repeat this process with different products. Knowing how to show a good story is the only way to convince partners to worry about doing more research, and story is the key to this method.

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

Act two: issue

Act two is all about digging deeper into the issues that you identified in action one. This typically involves conducting vertical study, such as accessibility tests, where you evaluate a potential solution ( such as a design ) to see if it addresses the problems you identified. The issues may include unfulfilled needs or problems with a circulation or procedure that’s tripping users away. More issues may come up in the process, much like in act two of a movie. It’s ok that you learn more about the characters as they grow and develop through this work.

According to Jakob Nielsen, five users should be normally in usability tests, which means that this number of users can generally identify the majority of the issues:” You learn less and less as you add more and more users because you will keep seeing the same things over and over again… After the second user, you are wasting your time by constantly observing the similar findings but no learning much new.”

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

Usability tests have been conducted in person for decades, but you can also do them remotely using software like Microsoft Teams, Zoom, or other teleconferencing software. This approach has become increasingly popular since the beginning of the pandemic, and it works well. You might interpret in-person usability tests as a form of theater watching as opposed to remote testing. There are advantages and disadvantages to each. Much more in-depth research is conducted on user experience. Stakeholders can experience the sessions with other stakeholders. Additionally, you get real-time reactions, including surprises, disagreements, 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 conducting usability testing in the field is like watching a play that is staged and controlled, where any two sessions may be very different from one another. You can take usability testing into the field by creating a replica of the space where users interact with the product and then conduct your research there. Or you can conduct your research by meeting users at their locations. With either option, you get to see how things work in context, things come up that wouldn’t have in a lab environment—and conversion can shift in entirely different directions. You have less control over how these sessions run as researchers, but this can occasionally improve your understanding of users. Meeting users where they are can provide clues to the external forces that could be affecting how they use your product. In-person usability tests add a level of detail that is frequently absent from remote usability tests.

That’s not to say that the “movies” —remote sessions—aren’t a good option. A wider audience can be reached through remote sessions. They allow a lot more stakeholders to be involved in the research and to see what’s going on. Additionally, they make the doors accessible to a much wider range 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 advantage of usability testing, whether conducted remotely or in person, is that you can ask real users questions to understand their reasoning and understanding of the problem. This can help you not only identify problems but also glean why they’re problems in the first place. Additionally, you can test your own hypotheses and determine whether your reasoning is correct. By the end of the sessions, you’ll have a much clearer picture of how usable the designs are and whether they work for their intended purposes. The excitement centers on Act 2, but there are also potential surprises in that Act. This is equally true of usability tests. Unexpected things that are said by participants frequently alter how you view things, and these unexpected developments in the story can lead to unexpected turns in your perception.

Unfortunately, user research is sometimes seen as expendable. Usability testing is often the only method of research that some stakeholders believe they ever need, especially in this regard. 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 down the area of focus on without considering the needs of the users. As a result, there’s no way of knowing whether the designs might solve a problem that users have. In the context of a usability test, it’s only feedback on a particular design.

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

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

Act three: resolution

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

This act is primarily 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 provide the stakeholders with their suggestions and direction for developing this vision.

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

This type of structure aligns well with research results, and particularly results from usability tests. It provides proof for “what is “—the issues you’ve identified. And “what could be “—your recommendations on how to address them. And so forth and 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 as visual as quick sketches of a potential solution to a problem. These can help generate conversation and momentum. And this continues until the session is over when you’ve concluded everything by summarizing the key points and offering suggestions for a solution. This is the part where you reiterate the main themes or problems and what they mean for the product—the denouement of the story. The stakeholders will now have the opportunity to take the next steps, and hopefully the will-power to do so!

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

Act one: You meet the protagonists ( the users ) and the antagonists ( the problems affecting users ). The plot begins here. In act one, researchers might use methods including contextual inquiry, ethnography, diary studies, surveys, and analytics. These techniques can produce personas, empathy maps, user journeys, and analytics dashboards.

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

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

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

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

John Jantsch’s article,” Choosing the Best Advertising Certification or Development Program for Agencies and Consultants” is available online.

What’s the Best Selling Program for You? Table of Contents 1TL, Mr 2Why Should I Consider a Leadership or Marketing Certification Program? 3 Different Advertising Accreditation Programs for Consultants & Agencies4How to Pick the Best Selling Certification or Plan based on Your Goals5Choosing the Best Selling Certification or Training Program Is Right for You? Find the Best Selling Accreditation for [ …].

Who Should You Hire to Promote Your Small Business? written by John Jantsch, more information can be found at Duct Tape Marketing.

Who Should You Hire for Marketing for Small Business Owners? written by John Jantsch, more information can be found at Duct Tape Marketing.

Table of Contents 1In-House Marketing Team 2Contracted promotion firms 3The Hybrid Approach for Marketing Leadership for Small Firms 4Choosing the Right Hire When it comes to hiring a marketing leader for smaller companies, it can be difficult to choose. If you employ an internal staff, contract work with an company, or think about using marketing leadership as a more accommodating, contemporary approach?

Who Should You Hire for Marketing for Small Business Owners? written by John Jantsch, more information can be found at Duct Tape Marketing.

The Last of Us year 2 premiere has clues in this review. The Last of Us ‘ long-awaited returning is finally here, and it is already well worth the wait. Although it may not be the tension-filled, action-packed launch episode from season one,” Future Days” does a fantastic job environment.

Den of Geek second covered The Last of Us Season 2 Episode 1 Review: A Chilly Premiere.

The Last of Us year 2 event 1 has clues in this article.

The Last of Us is a tale about damage, anguish, and the length people will go to defend the people they love. Before last season, Joel ( Pedro Pascal ) faced the loss of his daughter, Sarah ( Nico Parker ), with adversity. He went to great lengths to protect Ellie while traveling across the country, including killing Flies in their Salt Lake City base to prevent them from killing her for a chance to get a Cordyceps solution. However, we find out this season that his actions aren’t without consequences, and after five years, Abby ( Kaitlyn Dever ) has arrived in Jackson to collect.

We second meet Abby in the series after Joel’s murder on the Flies. She and her companions have laid the bodies of the deceased, and Abby has promised to pay back Joel. The Last of Us Season 2: The Making of Episode One, co-creator and senior manufacturer Craig Mazin claims that Abby “is broken here, and if she reminds you a little bit, say, of what Joel felt like when he lost his daughter, well that’s not unexpected.” In HBO&#8217, s post-premiere featurette &#8220, The Last of Us Season 2: The Making of Episode One, &#8221, the line

Joel and Abby’s reports both begin with unfathomable damage. Abby has lost her father, a person she reveals a deep love for and who she’s willing to travel to the ends of the Earth to revenge. When a guy opens fireplace on them at the start of the Cordyceps outbreak, Joel loses his daughter, and it always affects him. The chain reaction begins, Mazin says,” when we lose someone who has been taken from us fiercely for reasons that don’t seem good or natural.”

It’s no wonder that law and order are left up to the people in a world filled with sick people who have to struggle to survive. This vicious cycle of murder and vengeance was already in play in time 1. Kathleen ( Melanie Lynskey ) was relentless in her pursuit of Henry ( Lamar Johnson ) in Kansas City. In exchange for life-saving medication for his younger brother, Sam ( Keivonn Woodard ), Henry offered her brother to FEDRA, and Kathleen thought that this meant they both deserved to pass away. In Colorado, Joel killed a bandit to protect himself and Ellie. Then, following them, members of that area sought vengeance.

According to set co-creator and professional maker Neil Druckmann,” This period is about the consequences of violence.” When you feel virtuous and really, how far will you go in that quest for righteousness?

The only way, in the opinion of Abby and Joel, you be avenged and protected from harm is through violence. Joseph was unable to keep Sarah, but Joseph is able to keep Ellie in Salt Lake City. He suddenly makes amends for the error that has plagued him for years. And he still thinks this was the best course of action, as we see in” Potential Time.” He thinks that the murder was justified in order to save Ellie’s life.

Abby is “riddled with grief,” according to Kaitlyn Dever. The loss of [Abby’s ] dad has sort of kind of taken over her life, just as Sarah’s death continues to enrage Joel. Abby wants Joel to pass away slowly and painfully so she can feel the pain he has caused her by murdering her parents but blatantly. &nbsp,

We certainly don’t want anything to happen to Joel after spending so much time with him last year. But at the same moment, it’s not difficult to understand where Abby is coming from. At the mere mention of Ellie dying, we saw what Joel was prepared to perform. It’s not surprising that Joel had embark on the most extreme, scorched-earth revenge binge you’ve actually seen if the Fireflies had already accomplished it before he could put an end to it.

Those who are familiar with the games are aware that this routine of violence in response to violence is just beginning, despite what we haven’t seen in the show to display about how far Abby is ready to go to avenge her father. Many individuals disliked Abby when The Last of Us Part II initially appeared because of this. Ideally, people will be able to understand her character better this time around and know that she and Joel have more in popular than you think.

The Last of Us year 2 premieres on HBO on Sundays at 9 p.m. ET, with the season finale set for May 25, 2025.

The first article on Den of Geek was The Last of Us Season 2: Why Abby&#8217’s Story If Think Familiar.