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  • Peacemaker Episode 4: What’s That Weird Alien?

    Peacemaker Episode 4: What’s That Weird Alien?

    Trailers appear in this post for Season 2 Episode 4 of Peacemaker. No one is surprised to discover a strange alien in a DC Comics task at this point. Truly, we shouldn’t be surprised to find one in a work from James Gunn, the creator of the television series Broccoli and Starro the Conqueror. But ]… ]

    What’s That Weird Alien, Episode 4 of Peacemaker? primary appeared on Den of Geek.

    Fans have been asking themselves,” What the heck did the MCU type of Doctor Doom seem like?” since a green-clad find posed as Robert Downey Jr. at San Diego Comic-Con. We now have our truth, owing to a recently leaked part of promotional art. He resembles Doctor Doom in appearance.

    We can then confirm that the MCU will release a faithful adaptation of Doctor Doom for the big screen in Avengers: Doomsday in the coming year owing to images shared by various online social media feeds, including Avengers Update, an earlier version of Twitter.

    cnx. powershell. push ( function ( ) {cnx ( {playerId:” 106e33c0-3911-473c-b599-b1426db57530″, }). render ( “0270c398a82f44f49c23c16122516796” ), }),

    The MCU Doom is surrounded by a helmet that is attached to his clean cloak and has a helmet that has been twisted into a glowering picture. Natural fabric runs down the side of the not-so-good doctor’s body, with a harder material covering his stomach in a stone pattern. The songs running across his shoulders and his armour all have the same high-tech appearance. Armour has been added in place of the purely mechanical weapons, though. Although it’s interesting that there are now two different images on the discs on Doom’s neck, overall, this is a typical Doctor Doom.

    It’s not like Doom has changed too much since Jack Kirby and Stan Lee first introduced the figure in the 1962 film Fantastic Four# 5? Kirby provided the figure with his distinctive clean tunic, ever-present metal face, and high-tech body armor. And the majority of the designers who followed knew they couldn’t make it better. Sure, Marvel occasionally has variations for a particular moment, such as the ghastly new armor he created when dedicating himself to sorcery during Mark Waid and Mike Wieringo’s legendary run ( seriously, look it up, it’s nasty ), but most of the time, especially given the upcoming Avengers movie slate, he has changed Doom&#8217’s color scheme ( mostnotably, he donned a white version for Secret Wars ). Not yet John Byrne, who flimsily messed up King Kirby’s artwork, departed from the traditional aesthetic.

    Marvel reminds us that as much as they’ve been willing to experiment with the backstories and design elements of secondary characters ( making Star-Lord the son of Ego the Living Planet instead of J&#8217, Son of Spartax, streamlining Carol Danvers &#8217, backstory ), Marvel doesn’t mess with their A-listers. The big brands get their distinctive appearance in the same way that Spider-Man just underwent small adjustments to his wardrobe and that Hugh Jackman was fitted for a traditional yellow and blue Wolverine outfit as soon as he entered the MCU.

    Which, of course, has always been Kevin Feige‘s calling cards. Feige advocated for comics-accurate portrayals of the heroes to appear onscreen even while working under Avi Arad on 2000s films like X-Men and Spider-Man. Which serves as a useful warning as we prepare for Doomsday.

    While the announcement that Downey may make a comeback to the MCU, no as Tony Stark but as the tyrant of Latveria, undoubtedly piqued the interest of many Doom fans and laypeople, it was concerning Doom fans. Had the House of Ideas ‘ greatest character be reduced to a marketing ploy? May Downey be able to maintain his sassy on-screen image long enough to enable Doom to function? And most important, do Marvel be able to defy unmasking Downey when he is playing a character who reportedly and critically rarely shows his experience when they created a fresh cinema language to show Stark in the suit?

    Does Marvel permit Downey to completely represent Doom and remain in costume? Or will RDJ’s beautiful mug be left alone for two hours while we focus on its excellent design? When Avengers: Doomsday hits theaters next year, we’ll get out.

    On December 18, 2026, Avengers: Doomsday is scheduled to release.

    The author is Robert Downey Jr. The second post on Den of Geek was Doctor Doom Reveal Reminds Us Marvel Protects Its A-Listers.

  • The Most Affordable Video Games To Buy Right Now

    The Most Affordable Video Games To Buy Right Now

    The price of this addictive activity is the worst kept secret in entertainment. When there are bills to pay and other more crucial monetary obligations to attend to, purchasing a new game seems like a guilty delight given how expensive everything is these days. I have great news to share! Not every excellent game must [ …]…

    The first article on Den of Geek was The Most Affordable Video Games To Get Right Now.

    Fans have been asking themselves,” What the heck did the MCU type of Doctor Doom seem like?” since a green-clad find posed as Robert Downey Jr. at San Diego Comic-Con. We now have our truth, owing to a recently leaked part of promotional art. He appears to be Doctor Doom.

    We can then say that the MCU may be bringing a devout type of Doctor Doom to the big screen second month in Avengers: Doomsday thanks to images shared by many online social media feeds, including Avengers Update on the game formerly known as Twitter.

    cnx. powershell. push ( function ( ) {cnx ( {playerId:” 106e33c0-3911-473c-b599-b1426db57530″, }). render ( “0270c398a82f44f49c23c16122516796” ), }),

    The MCU Doom is surrounded by a helmet that is attached to his natural cloak and has a helmet that has been twisted to create a glowering picture. The not-so-good doctor’s body is covered in a stone design, with a harder substance on his abdomen. The rings running across his shoulders and the gauntlets have the same high-tech appearance as him. Armour has been replaced, though, with pure mechanical gear. Although it’s interesting that there are now two different images on the discs on Doom’s neck, overall, this is a typical Doctor Doom.

    It’s not like Doom has changed too much since Jack Kirby and Stan Lee first introduced the figure in the 1962 film Fantastic Four# 5? Kirby provided the figure with his distinctive natural blouse, his ever-present metal encounter, and his high-tech body armor. And the majority of the artists who followed knew they couldn’t make it better. Sure, Marvel occasionally has variations for a particular moment, such as the ghastly new armor he created when dedicating himself to sorcery during Mark Waid and Mike Wieringo’s legendary run ( seriously, look it up, it’s nasty ), but most of the time, especially given the upcoming Avengers movie slate, he has changed Doom&#8217’s color scheme ( mostnotably, he donned a white version for Secret Wars ). However, never yet John Byrne, who flimsily snuck into King Kirby’s artwork, veered from the traditional aesthetic.

    Marvel reminds us that as much as they &#8217, ve been willing to play around with the backstories and design elements of secondary characters—making Star-Lord the son of Ego the Living Planet instead of J&#8217, Son of Spartax, streamlining Carol Danvers &#8217, backstory, Marvel does n&#8217, t mess with their A-listers. The big brands find their distinctive appearance in the same way that Spider-Man merely had minor changes altered and that Hugh Jackman was fitted for a traditional yellow and blue Wolverine outfit as soon as he entered the MCU.

    Which, of course, has been Kevin Feige‘s calling cards constantly. Feige advocated for comics-accurate portrayals of the heroes to seem onscreen even while working under Avi Arad on 2000s films like X-Men and Spider-Man. Which serves as a useful warning as we prepare for Doomsday.

    While many MCU fans and casual viewers were overjoyed when it was revealed that Downey would make a comeback, no as Tony Stark, but as the tyrant of Latveria, it was concerning for Death fans. Had the House of Ideas ‘ greatest character be reduced to a marketing ploy? Do Downey be able to maintain his sassy on-screen image long enough to enable Doom to function? And most important, do Marvel be able to thwart downing Downey when he is playing a character who reportedly and critically rarely shows his face when they invented a fresh cinema language to show Stark in the suit?

    Will Marvel permit Downey to remain in costume and fully embody Doom? Or will this amazing design be put aside so we can gaze upon RDJ’s handsome mug for two hours? When Avengers: Doomsday hits theaters next year, we’ll find out.

    Avengers: Doomsday is scheduled to release on December 18, 2026.

    The author is Robert Downey Jr. The first post on Den of Geek was Doctor Doom Reveal Reminds Us Marvel Protects Its A-Listers.

  • The Long Walk Movie vs. The Book: What Changed Beyond the Ending?

    The Long Walk Movie vs. The Book: What Changed Beyond the Ending?

    The Long Walk trailers are included in this article. Stephen King’s debut book, The Long Walk, was published in 2007. Not the first guide to be released. Carrie, which was first published as a print in 1974, holds that distinction. However, King was writing The Long Walk as a freshman at the [ …] almost a decade prior.

    The Long Walk Movie vs. What Persisted After the Book’s End? primary appeared on Den of Geek.

    Fans have been asking themselves,” What the heck did the MCU type of Doctor Doom seem like?” since a green-clad find posed as Robert Downey Jr. at San Diego Comic-Con. We now have our truth, owing to a recently leaked part of promotional art. He appears to be Doctor Doom.

    We can then confirm that the MCU will release a faithful adaptation of Doctor Doom to the large display next year in Avengers: Doomsday thanks to images shared by a number of online social media feeds, including Avengers Update, an app that was formerly known as Twitter.

    cnx. powershell. push ( function ( ) {cnx ( {playerId:” 106e33c0-3911-473c-b599-b1426db57530″, }). render ( “0270c398a82f44f49c23c16122516796” ), }),

    The MCU Doom is surrounded by a helmet that is attached to his clean cloak and has a helmet that has been twisted into a glowering picture. The not-so-good doctor’s body is covered in a stone style, with a harder substance on his abdomen. The rings running across his shoulders and the gauntlets have the same high-tech appearance as Doom’s gauntlets. But, armour has been added in place of the simply mechanical gear. Although it’s interesting that there are now two different images on the discs on Doom’s chest, overall, this is a typical Doctor Doom.

    It’s not like Doom has changed too much since Jack Kirby and Stan Lee first introduced the figure in the 1962 film Fantastic Four# 5? Kirby provided the figure with his distinctive natural tunic, ever-present metal face, and high-tech body armor. And the majority of the designers who followed knew they couldn’t make it better. Sure, Marvel occasionally has variations for a particular moment, such as the ghastly new armor he created when dedicating himself to sorcery during Mark Waid and Mike Wieringo’s legendary run ( seriously, look it up, it’s nasty ), but most of the time, especially given the upcoming Avengers movie slate, he has changed Doom&#8217’s color scheme ( mostnotably, he donned a white version for Secret Wars ). However, never yet John Byrne, who flimsily snuck into King Kirby’s artwork, veered from the traditional aesthetic.

    Marvel reminds us that as much as they’ve been willing to play with the backstories and design elements of secondary characters ( making Star-Lord the son of Ego the Living Planet instead of J&#8217, Son of Spartax, streamlining Carol Danvers &#8217, backstory ), Marvel doesn’t mess with their A-listers. The big brands find their distinctive appearance in the same way that Spider-Man merely had minor changes altered and that Hugh Jackman was fitted for a traditional yellow and blue Wolverine outfit as soon as he entered the MCU.

    Which, of course, has always been Kevin Feige&#8216 ,’s calling card. Feige advocated for comics-accurate portrayals of the heroes to appear onscreen even while working under Avi Arad on 2000s films like X-Men and Spider-Man. Which serves as a useful warning as we prepare for Doomsday.

    While some Doom connoisseurs were enthralled to learn that Downey would make a comeback to the MCU instead of Tony Stark, it did dopamine followers and laypeople. Would one of the House of Ideas ‘ greatest figures been reduced to a marketing ploy? May Downey be able to maintain his aloof on-screen image long enough to enable Doom to function? And most important, would Marvel be able to stifle Downey when he is playing a character who reportedly and critically never shows his face when they invented a fresh cinema language to show Stark in the suit?

    Will Marvel permit Downey to remain in costume and entirely embody Doom? Or does RDJ’s beautiful mug be left alone for two hours while we focus on its excellent design? When Avengers: Doomsday hits theaters next month, we’ll get out.

    Avengers: Doomsday is scheduled to release on December 18, 2026.

    The author is Robert Downey Jr. The second post on Den of Geek was Doctor Doom Reveal Reminds Us Marvel Protects Its A-Listers.

  • Robert Downey Jr. Doctor Doom Reveal Reminds Us Marvel Protects Its A-Listers

    Robert Downey Jr. Doctor Doom Reveal Reminds Us Marvel Protects Its A-Listers

    Fans have been asking themselves,” What the heck did the MCU edition of Doctor Doom seem like?” always since a green-clad figure posed as Robert Downey Jr. walked onto the World stage at San Diego Comic-Con. Well, now we have our truth thanks to a just leaked part of promotional skill. ]… ]

    The author is Robert Downey Jr. The second post on Den of Geek was Doctor Doom Reveal Reminds Us Marvel Protects Its A-Listers.

    Fans have been asking themselves,” What the heck did the MCU type of Doctor Doom seem like?” since a green-clad find posed as Robert Downey Jr. at San Diego Comic-Con. Well, now we have our truth thanks to a just leaked part of promotional skill. He resembles Doctor Doom in appearance.

    We can then confirm that the MCU will release a faithful adaptation of Doctor Doom for the big screen in Avengers: Doomsday in the coming year owing to images shared by various online social media feeds, including Avengers Update, an earlier version of Twitter.

    cnx. command. push ( function ( ) {cnx ( {playerId:” 106e33c0-3911-473c-b599-b1426db57530″, }). render ( “0270c398a82f44f49c23c16122516796” ), }),

    The MCU Doom is surrounded by a helmet that is attached to his natural cloak and has a helmet that has been twisted to create a glowering countenance. The not-so-good doctor’s body is covered in a stone style, with a harder substance on his abdomen. The rings running across his shoulders and the armour have the same high-tech appearance as him. Armour has been added in place of the purely mechanical weapons, though. Although it’s interesting that Doom’s neck now has two distinct images on them, overall, this is a typical Doctor Doom.

    Of course, it &#8217 ;s not like Doom has changed too much since Jack Kirby and Stan Lee first introduced the character in the 1960 film Fantastic Four# 5. Kirby provided the figure with his distinctive clean blouse, his ever-present metal encounter, and his high-tech body armor. And the majority of the artists who followed realized they couldn’t improve it. Sure, Marvel occasionally has variations for a particular moment, such as the ghastly new armor he created when dedicating himself to sorcery during Mark Waid and Mike Wieringo’s legendary run ( seriously, look it up, it’s nasty ), but most of the time, especially considering the upcoming Avengers movie slate, he donned a white version for Secret Wars. Not yet John Byrne, who flimsily messed up King Kirby’s artwork, departed from the traditional aesthetic.

    Marvel reminds us that as much as they &#8217, ve been willing to play around with the backstories and design elements of secondary characters—making Star-Lord the son of Ego the Living Planet instead of J&#8217, Son of Spartax, streamlining Carol Danvers &#8217, backstory, Marvel does n&#8217, t mess with their A-listers. The big brands find their distinctive appearance in the same way that Spider-Man merely had minor changes altered and that Hugh Jackman was fitted for a traditional yellow and blue Wolverine outfit as soon as he entered the MCU.

    Which, of course, has been Kevin Feige‘s calling card often. Feige advocated for comics-accurate portrayals of the heroes to seem onscreen even while working under Avi Arad on 2000s films like X-Men and Spider-Man. Which serves as a useful warning of Doomsday‘s looming significance.

    While some Doom connoisseurs were enthralled to learn that Downey may make a comeback to the MCU instead of Tony Stark, it did dopamine fans and laypeople. Had the House of Ideas ‘ greatest character be reduced to a marketing ploy? Do Downey be able to maintain his aloof on-screen persona long enough to enable Doom to function? And most important, do Marvel be able to defy unmasking Downey when he is playing a character who reportedly and critically never shows his experience when they created a fresh cinema language to show Stark in the suit?

    Does Marvel permit Downey to live up to the role of Doom in full outfit? Or will this amazing style been put aside so we can gaze upon RDJ’s beautiful mug for two hours? When Avengers: Doomsday hits theaters next year, we’ll get out.

    On December 18, 2026, Avengers: Doomsday is scheduled to release.

    The author is Robert Downey Jr. The second post on Den of Geek was Doctor Doom Reveal Reminds Us Marvel Protects Its A-Listers.

  • Apparently Paramount Skydance Will Just Buy Everything Now

    Apparently Paramount Skydance Will Just Buy Everything Now

    There’s a good reason for that if it seems like it was just a quarter before when we experienced our final significant piece of corporate media combination. When tycoon David Ellison’s Skydance Media and Paramount Global merged, creating the colossal Paramount Skydance, it actually happened less than a month ago. Before Stephen, please.

    On Den of Geek, the second post appeared: Obviously Paramount Skydance May Really Buy Everything Today.

    Fans have been asking themselves,” What the heck did the MCU type of Doctor Doom seem like?” since a green-clad find posed as Robert Downey Jr. at San Diego Comic-Con. We now know the answer owing to a recently leaked part of promotional skill. He resembles Doctor Doom in appearance.

    We can then say that the MCU may be bringing a devout type of Doctor Doom to the big screen second month in Avengers: Doomsday thanks to images shared by many online social media feeds, including Avengers Update on the game formerly known as Twitter.

    cnx. powershell. push ( function ( ) {cnx ( {playerId:” 106e33c0-3911-473c-b599-b1426db57530″, }). render ( “0270c398a82f44f49c23c16122516796” ), }),

    The MCU Doom is surrounded by a helmet that is attached to his natural cloak and has a helmet that has been twisted to create a glowering visage. The not-so-good doctor’s body is covered in a stone style, with a harder substance on his abdomen. The rings running across his shoulders and the gauntlets have the same high-tech appearance as Doom’s gauntlets. But, armour has been added in place of the simply mechanical gear. Although it’s interesting that Doom’s neck now has two distinct images on them, overall, this is a typical Doctor Doom.

    Of course, it &#8217 ;s not like Doom has changed too much since Jack Kirby and Stan Lee first introduced the character in the 1960 film Fantastic Four# 5. Kirby provided the figure with his distinctive natural blouse, his ever-present metal encounter, and his high-tech body armor. And the majority of the designers who followed knew they couldn’t make it better. Sure, Marvel occasionally has variations for a particular moment, such as the ghastly new armor he created when dedicating himself to sorcery during Mark Waid and Mike Wieringo’s legendary run ( seriously, look it up, it’s nasty ), but most of the time, especially given the upcoming Avengers movie slate, he has changed Doom&#8217’s color scheme ( mostnotably, he donned a white version for Secret Wars ). Not yet John Byrne, who flimsily messed up King Kirby’s artwork, departed from the traditional aesthetic.

    Marvel reminds us that as much as they’ve been willing to experiment with the backstories and design elements of secondary characters ( making Star-Lord the son of Ego the Living Planet instead of J&#8217, Son of Spartax, streamlining Carol Danvers &#8217, backstory ), Marvel doesn’t mess with their A-listers. The big brands find their distinctive appearance in the same way that Spider-Man merely had minor changes altered and that Hugh Jackman was fitted for a traditional yellow and blue Wolverine outfit as soon as he entered the MCU.

    Which, of course, has been Kevin Feige‘s calling cards constantly. Feige advocated for comics-accurate portrayals of the heroes to appear onscreen yet while working under Avi Arad on 2000s films like X-Men and Spider-Man. Which serves as a useful warning as we prepare for Doomsday.

    While some Doom connoisseurs were enthralled to learn that Downey would make a comeback to the MCU instead of Tony Stark, it did dopamine fans and laypeople. Had the House of Ideas ‘ greatest character been reduced to a marketing ploy? Do Downey be able to maintain his sassy on-screen persona long enough to enable Doom to function? And most important, do Marvel be able to thwart downing Downey when he is playing a character who reportedly and critically rarely shows his experience when they invented a fresh cinema language to show Stark in the suit?

    Will Marvel permit Downey to remain in costume and entirely embody Doom? Or will this amazing style been put aside so we can gaze upon RDJ’s beautiful mug for two hours? When Avengers: Doomsday hits theaters second year, we’ll get out.

    Avengers: Doomsday is scheduled to release on December 18, 2026.

    The author is Robert Downey Jr. The second article on Den of Geek was Doctor Doom Reveal Reminds Us Marvel Protects Its A-Listers.

  • Asynchronous Design Critique: Giving Feedback

    Asynchronous Design Critique: Giving Feedback

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

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

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

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

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

    The material

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

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

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

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

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

    I anticipate that one of these two buttons will go forward and the other will go back when I see them.

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

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

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

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

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

    Or, for the request approach:

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

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

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

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

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

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

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

    Therefore, the equation above is intended to serve as a mnemonic to reflect and enhance the practice rather than a strict template for feedback. Even after years of active work on my critiques, I still from time to time go back to this formula and reflect on whether what I just wrote is effective.

    The tone

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

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

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

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

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

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

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

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

    We have a great advantage in giving feedback in written form: it can be reviewed by another person who isn’t directly involved, which can help to reduce or remove any bias that might be there. When I shared a comment and asked someone I trusted,” How does this sound,”” How can I do it better,” or even” How would you have written it,” I discovered that the best, most insightful moments for me occurred when I saw the two versions side by side.

    The format

    Asynchronous feedback also has a significant inherent benefit: we can devote more time to making sure that the suggestions ‘ clarity of communication and actionability fulfill two main objectives.

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

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

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

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

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

    Another way that you can improve your feedback is to depersonalize the feedback: the comments should always be about the work, never about the person who made it. It’s” This button isn’t well aligned” versus” You haven’t aligned this button well”. This can be changed in your writing very quickly by reviewing it just before sending.

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

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

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

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

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

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

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

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

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

  • Asynchronous Design Critique: Getting Feedback

    Asynchronous Design Critique: Getting Feedback

    ” Any feedback?” is perhaps one of the worst ways to ask for opinions. It’s obscure and unfocused, and it doesn’t give us a sense of what we’re looking for. Getting good opinions starts sooner than we might hope: it starts with the demand.

    When we realize that receiving input can be seen as a form of pattern analysis, it might seem counterintuitive to begin the process with a question. In the same way that we wouldn’t perform any studies without the correct questions to get the insight that we need, the best way to ask for feedback is also to build strong issues.

    Design criticism is not a one-time procedure. Sure, any great comments process continues until the project is finished, but this is especially true for layout because architecture work continues iteration after iteration, from a high level to the finest details. Each stage requires its unique set of questions.

    And suddenly, as with any great research, we need to examine what we got up, get to the base of its perspectives, and take action. Iteration, evaluation, and problem. This look at each of those.

    The query

    Being available to input is important, but we need to be specific about what we’re looking for. Any comments,” What do you think,” or” I’d love to hear your opinion” at the conclusion of a presentation are likely to generate a lot of divergent ideas, or worse, to make people follow the lead of the first speaker. And next… we get frustrated because vague issues like those you turn a high-level moves review into folks rather commenting on the borders of buttons. Which topic may be a savory one, so it might be difficult to get the team to switch to the subject you wanted to concentrate on.

    But how do we get into this scenario? It’s a combination of various components. One is that we don’t often consider asking as a part of the input approach. Another is how healthy it is to assume that everyone else will agree with the problem and leave it alone. Another is that in nonprofessional debate, there’s usually no need to be that exact. In summary, we tend to undervalue the value of the concerns, so we don’t work to make them better.

    The work of asking good questions guidelines and focuses the criticism. It’s even a form of acceptance because it specifies what kind of opinions you’d like to receive and how you’re open to them. It puts people in the right emotional state, especially in situations when they weren’t expecting to give opinions.

    There isn’t a second best way to ask for opinions. It simply needs to be certain, and precision may take several shapes. The period than depth model for design critique has been a particularly helpful tool for my coaching.

    Stage” refers to each of the actions of the process—in our event, the design process. The type of input changes as the consumer research moves forward to the final design. But within a single stage, one might also examine whether some assumptions are correct and whether there’s been a suitable language of the amassed input into updated designs as the task has evolved. The layers of user experience could serve as a starting point for future inquiries. What do you want to know: Project objectives? User requirements? Functionality? Content? Interaction design? Information architecture UI design? design of navigation Visual design? branding?

    Here’re a few example questions that are precise and to the point that refer to different layers:

    • Functionality: Is it desirable to automate account creation?
    • Interaction design: Take a look through the updated flow and let me know whether you see any steps or error states that I might’ve missed.
    • Information architecture: This page contains two competing pieces of information. Is the structure effective in communicating them both?
    • User interface design: What do you think about the error counter at the top of the page, which makes sure you see the next error even if it is outside the viewport?
    • Navigation design: From research, we identified these second-level navigation items, but once you’re on the page, the list feels too long and hard to navigate. Are there any ways to deal with this?
    • Visual design: Are the sticky notifications in the bottom-right corner visible enough?

    How much of a presentation’s depth would be on the other axis of specificity. For example, we might have introduced a new end-to-end flow, but there was a specific view that you found particularly challenging and you’d like a detailed review of that. This can be especially helpful from one iteration to the next when it’s crucial to highlight the areas that have changed.

    There are other things that we can consider when we want to achieve more specific—and more effective—questions.

    A quick fix is to get rid of the generic qualifiers from questions like “good”, “well,” “nice,” “bad,” “okay,” and” cool.” For example, asking,” When the block opens and the buttons appear, is this interaction good”? is it possible to look specific, but you can spot the “good” qualifier and make the question” When the block opens and the buttons appear, is it clear what the next action is” look like?

    Sometimes we actually do want broad feedback. Although that is uncommon, it is possible. In that sense, you might still make it explicit that you’re looking for a wide range of opinions, whether at a high level or with details. Or perhaps you should just say,” At first glance, what do you think”? so that it’s clear that what you’re asking is open ended but focused on someone’s impression after their first five seconds of looking at it.

    Sometimes the project is particularly broad, and some areas may have already been thoroughly explored. In these situations, it might be useful to explicitly say that some parts are already locked in and aren’t open to feedback. Although it’s not something I’d recommend in general, I’ve found it helpful in avoiding getting back into rabbit holes like those that could lead to further refinement but aren’t currently what matters most.

    Asking specific questions can completely change the quality of the feedback that you receive. Even experienced designers will appreciate the clarity and efficiency gained from concentrating solely on what is required, and those with less refined critique skills will now be able to offer more actionable feedback. It can save a lot of time and frustration.

    The iteration

    Design iterations are probably the most visible part of the design work, and they provide a natural checkpoint for feedback. Many design tools have inline commenting, but many of those methods typically display changes as a single fluid stream in the same file. These methods cause conversations to vanish once they’re resolved, update shared UI components automatically, and require designs to always display the most recent version unless these would-be useful features were manually turned off. The implied goal that these design tools seem to have is to arrive at just one final copy with all discussions closed, probably because they inherited patterns from how written documents are collaboratively edited. That’s probably not the most effective way to go about designing critiques, but even if I don’t want to be too prescriptive, it might work for some teams.

    The asynchronous design-critique approach that I find most effective is to create explicit checkpoints for discussion. For this, I’ll use the term iteration post. It refers to a write-up or presentation of the design iteration followed by a discussion thread of some kind. Any platform that can accommodate this type of structure can use this. By the way, when I refer to a “write-up or presentation“, I’m including video recordings or other media too: as long as it’s asynchronous, it works.

    There are many benefits to using iteration posts:

    • It creates a rhythm in the design work so that the designer can review feedback from each iteration and prepare for the next.
    • Decisions are always available, and conversations are also made accessible for future review.
    • It creates a record of how the design changed over time.
    • It might also make it simpler to collect and act on feedback depending on the tool.

    These posts of course don’t mean that no other feedback approach should be used, just that iteration posts could be the primary rhythm for a remote design team to use. And from there, there can develop additional feedback techniques ( such as live critique, pair designing, or inline comments ).

    I don’t think there’s a standard format for iteration posts. However, there are a few high-level components that make sense as a baseline:

    1. The goal
    2. The layout
    3. The list of changes
    4. The querys

    Each project is likely to have a goal, and hopefully it’s something that’s already been summarized in a single sentence somewhere else, such as the client brief, the product manager’s outline, or the project owner’s request. In other words, I would copy and paste this into every iteration post to make it work. The idea is to provide context and to repeat what’s essential to make each iteration post complete so that there’s no need to find information spread across multiple posts. The most recent iteration post will have everything I need if I want to know about the most recent design.

    This copy-and-paste part introduces another relevant concept: alignment comes from repetition. Therefore, repeating information in posts helps to ensure that everyone is on the same page.

    The design is then the actual series of information-architecture outlines, diagrams, flows, maps, wireframes, screens, visuals, and any other kind of design work that’s been done. It’s any design artifact, in essence. For the final stages of work, I prefer the term blueprint to emphasize that I’ll be showing full flows instead of individual screens to make it easier to understand the bigger picture.

    It might also be helpful to have clear names on the objects since it makes them look better to refer to. Write the post in a way that helps people understand the work. It’s not very different from creating a strong live presentation.

    For an efficient discussion, you should also include a bullet list of the changes from the previous iteration to let people focus on what’s new, which can be especially useful for larger pieces of work where keeping track, iteration after iteration, could become a challenge.

    Finally, as mentioned earlier, it’s crucial that you include a list of the questions to help you guide the design critique in the desired direction. Doing this as a numbered list can also help make it easier to refer to each question by its number.

    Not every iteration is the same. Earlier iterations don’t need to be as tightly focused—they can be more exploratory and experimental, maybe even breaking some of the design-language guidelines to see what’s possible. Then, later, the iterations begin coming to a decision and improving it until the design process is complete and the feature is ready.

    I want to highlight that even if these iteration posts are written and conceived as checkpoints, by no means do they need to be exhaustive. A post might be a draft, just a concept to start a discussion, or it might be a cumulative list of every feature that was added over the course of each iteration until the full picture is achieved.

    Over time, I also started using specific labels for incremental iterations: i1, i2, i3, and so on. Although this may seem like a minor labeling tip, it can be useful in many ways:

    • Unique—It’s a clear unique marker. Everyone knows where to go to review things, and it’s simple to say” This was discussed in i4″ with each project.
    • Unassuming—It works like versions ( such as v1, v2, and v3 ) but in contrast, versions create the impression of something that’s big, exhaustive, and complete. Attempts must be exploratory, incomplete, or partial.
    • Future proof—It resolves the “final” naming problem that you can run into with versions. No more files with the title “final final complete no-really-its-done” Within each project, the largest number always represents the latest iteration.

    The wording release candidate (RC ) could be used to describe a design as complete enough to be worked on, even if there might be some bits that still need more attention and in turn, more iterations would be required, such as” with i8 we reached RC” or “i12 is an RC” to indicate when it is finished.

    The review

    A back-and-forth between two people that can be very productive typically occurs during a design critique. This approach is particularly effective during live, synchronous feedback. However, using a different approach when we work asynchronously is more effective: adopting a user-research mindset. Written feedback from teammates, stakeholders, or others can be treated as if it were the result of user interviews and surveys, and we can analyze it accordingly.

    This shift has some significant advantages, making asynchronous feedback particularly effective, especially around these friction points:

    1. It removes the pressure to reply to everyone.
    2. It lessens the annoyance caused by swoop-by comments.
    3. It lessens our personal stake.

    The first friction point is having to feel pressured to respond to each and every comment. Sometimes we write the iteration post, and we get replies from our team. It’s simple, straightforward, and doesn’t cause any issues. But other times, some solutions might require more in-depth discussions, and the amount of replies can quickly increase, which can create a tension between trying to be a good team player by replying to everyone and doing the next design iteration. If the respondent is a stakeholder or a person directly involved in the project, this might be especially true. We need to accept that this pressure is absolutely normal, and it’s human nature to try to accommodate people who we care about. Responding to all comments at times can be effective, but when we consider a design critique more like user research, we realize that we don’t need to respond to every comment, and there are alternatives in asynchronous spaces:

      One is to let the next iteration speak for itself. When the design changes and we publish a follow-up iteration, that’s the response. You might tag all the people who were involved in the previous discussion, but even that’s a choice, not a requirement.
    • Another option is to respond politely to acknowledge each comment, such as” Understood. Thank you”,” Good points— I’ll review”, or” Thanks. These will be included in the upcoming iteration. In some cases, this could also be just a single top-level comment along the lines of” Thanks for all the feedback everyone—the next iteration is coming soon”!
    • Another option is to provide a quick summary of the comments before moving on. Depending on your workflow, this can be particularly useful as it can provide a simplified checklist that you can then use for the next iteration.

    The swoop-by comment, which is the kind of feedback that comes from a member of the project or team who might not be aware of the context, restrictions, decisions, or requirements —or of the discussions from earlier iterations. On their side, there’s something that one can hope that they might learn: they could start to acknowledge that they’re doing this and they could be more conscious in outlining where they’re coming from. It can be annoying to have to repeat the same response repeatedly in swoop-by comments.

    Let’s begin by acknowledging again that there’s no need to reply to every comment. However, if responding to a previously litigated point might be helpful, a brief response with a link to the previous discussion for additional information is typically sufficient. Remember, alignment comes from repetition, so it’s okay to repeat things sometimes!

    Swoop-by commenting can still be useful for two reasons: first, they might point out something that isn’t clear, and second, they might have the power to fit in with a user’s perspective when they are seeing the design for the first time. Sure, you’ll still be frustrated, but that might at least help in dealing with it.

    The personal stake we might have in relation to the design could be the third friction point, which might cause us to feel defensive if the review turned out to be more of a discussion. Treating feedback as user research helps us create a healthy distance between the people giving us feedback and our ego ( because yes, even if we don’t want to admit it, it’s there ). And in the end, presenting everything in aggregated form helps us to prioritize our work more.

    Always remember that while you need to listen to stakeholders, project owners, and specific advice, you don’t have to accept every piece of feedback. You must examine it and come up with a conclusion that you can support, but sometimes “no” is the best choice.

    As the designer leading the project, you’re in charge of that decision. In the end, everyone has their area of expertise, and as a designer, you are the one with the most background and knowledge to make the right choice. And by listening to the feedback that you’ve received, you’re making sure that it’s also the best and most balanced decision.

    Thanks to Mike Shelton and Brie Anne Demkiw for their initial review of this article.

  • Designing for the Unexpected

    Designing for the Unexpected

    Although I’m not certain when I first heard this statement, it has stuck with me over the centuries. How do you generate solutions for scenarios you can’t think? Or create items that are functional on products that have not yet been created?

    Flash, Photoshop, and flexible style

    When I first started designing sites, my go-to technology was Photoshop. I set about making a layout that I would eventually decline content into a 960px cloth. The growth phase was about attaining pixel-perfect reliability using set widths, fixed levels, and absolute placement.

    All of this was altered by Ethan Marcotte’s speak at An Event Apart and the subsequent article in A Checklist Off in 2010. I was sold on responsive pattern as soon as I heard about it, but I was even terrified. The pixel-perfect models full of special figures that I had formerly prided myself on producing were no longer good enough.

    My first encounter with flexible design didn’t help my fear. My second project was to get an active fixed-width website and make it reactive. What I discovered the hard manner was that you can’t really put sensitivity at the end of a job. To make smooth design, you need to prepare throughout the style stage.

    A new way to style

    Making information accessible to all devices a priority when designing responsive or smooth websites has always been the goal. It relies on the use of percentage-based design, which I immediately achieved with local CSS and power groups:

    .column-span-6 { width: 49%; float: left; margin-right: 0.5%; margin-left: 0.5%;}.column-span-4 { width: 32%; float: left; margin-right: 0.5%; margin-left: 0.5%;}.column-span-3 { width: 24%; float: left; margin-right: 0.5%; margin-left: 0.5%;}

    Therefore with Sass but that I could use @includes to re-use repeated blocks of code and transition to more semantic html:

    .logo { @include colSpan(6);}.search { @include colSpan(3);}.social-share { @include colSpan(3);}

    Media answers

    The next ingredient for flexible design is press queries. Without them, regardless of whether the information was still readable, may shrink to fit the available storage.

    Media answers prevented this by allowing us to add breakpoints where the design could adapt. Like most people, I started out with three breakpoints: one for desktop, one for tablets, and one for mobile. Over the years, I added more and more for phablets, wide screens, and so on. 

    For years, I happily worked this way and improved both my design and front-end skills in the process. The only problem I encountered was making changes to content, since with our Sass grid system in place, there was no way for the site owners to add content without amending the markup—something a small business owner might struggle with. This is because each row in the grid was defined using a div as a container. Adding content meant creating new row markup, which requires a level of HTML knowledge.

    String premium was a mainstay of early flexible design, present in all the frequently used systems like Bootstrap and Skeleton.

    1 of 7
    2 of 7
    3 of 7
    4 of 7
    5 of 7
    6 of 7
    7 of 7

    Another difficulty arose as I moved from a design firm building websites for smaller- to medium-sized companies, to larger in-house teams where I worked across a collection of related sites. In those capacities, I began to work many more with washable pieces.

    Our rely on multimedia queries resulted in parts that were tied to frequent window sizes. If the goal of part libraries is modify, then this is a real problem because you can just use these components if the devices you’re designing for correspond to the viewport sizes used in the pattern library—in the process never really hitting that “devices that don’t already occur” goal.

    Then there’s the problem of space. Media answers allow components to adapt based on the viewport size, but what if I put a component into a sidebar, like in the figure below?

    Container queries: our savior or a false dawn?

    Container queries have long been touted as an improvement upon media queries, but at the time of writing are unsupported in most browsers. There are workarounds for JavaScript, but they can lead to dependencies and compatibility issues. The basic theory underlying container queries is that elements should change based on the size of their parent container and not the viewport width, as seen in the following illustrations.

    One of the biggest arguments in favor of container queries is that they help us create components or design patterns that are truly reusable because they can be picked up and placed anywhere in a layout. This is an important step in moving toward a form of component-based design that works at any size on any device.

    In other words, responsive layouts are to be replaced by responsive components.

    Container queries will help us move from designing pages that respond to the browser or device size to designing components that can be placed in a sidebar or in the main content, and respond accordingly.

    My issue is that layout is still used to determine when a design needs to adapt. This approach will always be restrictive, as we will still need pre-defined breakpoints. For this reason, my main question with container queries is, How would we decide when to change the CSS used by a component?

    The best place to make that choice is probably a component library that is disconnected from context and real content.

    As the diagrams below illustrate, we can use container queries to create designs for specific container widths, but what if I want to change the design based on the image size or ratio?

    In this example, the dimensions of the container are not what should dictate the design, rather, the image is.

    Without reliable cross-browser support, it’s difficult to say for certain whether container queries will succeed. Responsive component libraries would definitely evolve how we design and would improve the possibilities for reuse and design at scale. However, we might always need to modify these elements to fit our content.

    CSS is changing

    Whilst the container query debate rumbles on, there have been numerous advances in CSS that change the way we think about design. The days of fixed-width elements measured in pixels and floated div elements used to cobble layouts together are long gone, consigned to history along with table layouts. Flexbox and CSS Grid have revolutionized layouts for the web. We can now create elements that wrap onto new rows when they run out of space, not when the device changes.

    .wrapper { display: grid; grid-template-columns: repeat(auto-fit, 450px); gap: 10px;}

    The repeat() function paired with auto-fit or auto-fill allows us to specify how much space each column should use while leaving it up to the browser to decide when to spill the columns onto a new line. Similar things can be achieved with Flexbox, as elements can wrap over multiple rows and “flex” to fill available space. 

    .wrapper { display: flex; flex-wrap: wrap; justify-content: space-between;}.child { flex-basis: 32%; margin-bottom: 20px;}

    The biggest benefit of all of this is that you don’t have to wrap elements in container rows. Without rows, content isn’t tied to page markup in quite the same way, allowing for removals or additions of content without additional development.

    This is a big step forward when it comes to creating designs that allow for evolving content, but the real game changer for flexible designs is CSS Subgrid.

    Remember the days of crafting perfectly aligned interfaces, only for the customer to add an unbelievably long header almost as soon as they’re given CMS access, like the illustration below?

    Subgrid allows elements to respond to adjustments in their own content and in the content of sibling elements, helping us create designs more resilient to change.

    .wrapper { display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); grid-template-rows: auto 1fr auto; gap: 10px;}.sub-grid { display: grid; grid-row: span 3; grid-template-rows: subgrid; /* sets rows to parent grid */}

    CSS Grid allows us to separate layout and content, thereby enabling flexible designs. Meanwhile, Subgrid allows us to create designs that can adapt in order to suit morphing content. Subgrid is only supported by Firefox at the time of writing, but the above code can be implemented behind an @supports feature query.

    Intrinsic layouts

    I’d be remiss not to mention intrinsic layouts, a term used by Jen Simmons to describe a mix of contemporary and traditional CSS features to create layouts that respond to available space.

    Responsive layouts have flexible columns using percentages. Intrinsic layouts, on the other hand, use the fr unit to create flexible columns that won’t ever shrink so much that they render the content illegible.

    frunits is a statement that says,” I want you to distribute the extra space in this way, but… don’t ever make it smaller than the content that is inside of it.”

    —Jen Simmons,” Designing Intrinsic Layouts”

    Intrinsic layouts can also make use of a mix of fixed and flexible units, letting the content choose how much space it occupies.

    What makes intrinsic design stand out is that it not only creates designs that can withstand future devices but also helps scale design without losing flexibility. Without the requirement of having the same breakpoints or the same amount of content as in the previous implementation, components and patterns can be lifted and reused.

    We can now create designs that adapt to the space they have, the content within them, and the content around them. We can create responsive components without relying on container queries using an intrinsic approach.

    Another 2010 moment?

    This intrinsic approach should in my view be every bit as groundbreaking as responsive web design was ten years ago. It’s another instance of “everything changed,” in my opinion.

    But it doesn’t seem to be moving quite as fast, I haven’t yet had that same career-changing moment I had with responsive design, despite the widely shared and brilliant talk that brought it to my attention.

    One possible explanation for that might be that I now work for a sizable company, which is significantly different from the role I held as a design agency in 2010: In my agency days, every new project was a clean slate, a chance to try something new. Nowadays, projects use existing tools and frameworks and are often improvements to existing websites with an existing codebase.

    Another possibility is that right now I feel more prepared for change. In 2010 I was new to design in general, the shift was frightening and required a lot of learning. Additionally, an intrinsic approach isn’t exactly new; it’s a different way to use existing skills and CSS knowledge.

    You can’t framework your way out of a content problem

    Another reason for the slightly slower adoption of intrinsic design could be the lack of quick-fix framework solutions available to kick-start the change.

    Ten years ago, responsive grid systems were everywhere. With a framework like Bootstrap or Skeleton, you had a responsive design template at your fingertips.

    Because having a selection of units is a benefit when creating layout templates, intrinsic design and frameworks do not go hand in hand quite as well. The beauty of intrinsic design is combining different units and experimenting with techniques to get the best for your content.

    And then there are design tools. We probably all used Photoshop templates for desktop, tablet, and mobile devices to drop designs into and demonstrate how the site would look at all three stages at some point in our careers.

    How do you do that now, with each component responding to content and layouts flexing as and when they need to? This kind of design must take place in the browser, which is something I’m very fond of.

    The debate about “whether designers should code” is another that has rumbled on for years. When designing a digital product, we should, at the very least, design for a best- and worst-case scenario when it comes to content. It’s not ideal to do this in a graphics-based software package. In code, we can add longer sentences, more radio buttons, and extra tabs, and watch in real time as the design adapts. Does it continue to function? Is the design too reliant on the current content?

    Personally, I look forward to the day intrinsic design is the standard for design, when a design component can be truly flexible and adapt to both its space and content with no reliance on device or container dimensions.

    First, the content

    Content is not constant. After all, to design for the unanticipated or unexpected, we must take into account content modifications, such as the earlier Subgrid card example, which allowed the cards to adjust both their own content and that of their sibling elements.

    Thankfully, there’s more to CSS than layout, and plenty of properties and values can help us put content first. Subgrid and pseudo-elements like ::first-line and ::first-letter help to separate design from markup so we can create designs that allow for changes.

    Instead of dated markup tricks like this —

    First line of text with different styling...

    —we can target content based on where it appears.

    .element::first-line { font-size: 1.4em;}.element::first-letter { color: red;}

    Much bigger additions to CSS include logical properties, which change the way we construct designs using logical dimensions (start and end) instead of physical ones (left and right), something CSS Grid also does with functions like min(), max(), and clamp().

    This flexibility allows for directional changes according to content, a common requirement when we need to present content in multiple languages. In the past, this was often achieved with Sass mixins but was often limited to switching from left-to-right to right-to-left orientation.

    Directional variables must be specified in the Sass version.

    $direction: rtl;$opposite-direction: ltr;$start-direction: right;$end-direction: left;

    These variables can be used as values—

    body { direction: $direction; text-align: $start-direction;}

    —or as properties.

    margin-#{$end-direction}: 10px;padding-#{$start-direction}: 10px;

    However, now we have native logical properties, removing the reliance on both Sass ( or a similar tool ) and pre-planning that necessitated using variables throughout a codebase. These properties also start to break apart the tight coupling between a design and strict physical dimensions, creating more flexibility for changes in language and in direction.

    margin-block-end: 10px;padding-block-start: 10px;

    There are also native start and end values for properties like text-align, which means we can replace text-align: right with text-align: start.

    Like the earlier examples, these properties help to build out designs that aren’t constrained to one language, the design will reflect the content’s needs.

    Fluid and fixed

    We briefly covered the power of combining fixed widths with fluid widths with intrinsic layouts. The min() and max() functions are a similar concept, allowing you to specify a fixed value with a flexible alternative. 

    For min() this means setting a fluid minimum value and a maximum fixed value.

    .element { width: min(50%, 300px);}

    The element in the figure above will be 50 % of its container as long as the element’s width doesn’t exceed 300px.

    For max() we can set a flexible max value and a minimum fixed value.

    .element { width: max(50%, 300px);}

    Now the element will be 50 % of its container as long as the element’s width is at least 300px. This means we can set limits but allow content to react to the available space.

    The clamp() function builds on this by allowing us to set a preferred value with a third parameter. Now we can allow the element to shrink or grow if it needs to without getting to a point where it becomes unusable.

    .element { width: clamp(300px, 50%, 600px);}

    This time, the element’s width will be 50 % ( the preferred value ) of its container, with no exceptions for 300px and 600px.

    With these techniques, we have a content-first approach to responsive design. We can separate content from markup, meaning the changes users make will not affect the design. By making plans for unanticipated changes in language or direction, we can begin to future-proof designs. And we can increase flexibility by setting desired dimensions alongside flexible alternatives, allowing for more or less content to be displayed correctly.

    First, the circumstances

    Thanks to what we’ve discussed so far, we can cover device flexibility by changing our approach, designing around content and space instead of catering to devices. But what about that last bit of Jeffrey Zeldman’s quote,”… situations you haven’t imagined”?

    It’s a completely different design process for someone using a mobile phone and moving through a crowded street in glaring sunshine from a person using a desktop computer. Situations and environments are hard to plan for or predict because they change as people react to their own unique challenges and tasks.

    Choice is so crucial because of this. One size never fits all, so we need to design for multiple scenarios to create equal experiences for all our users.

    Thankfully, there is a lot we can do to provide choice.

    Responsible design

    ” There are parts of the world where mobile data is prohibitively expensive, and where there is little or no broadband infrastructure”.

    I Used the Web for a Day on a 50 MB Budget.”

    Chris Ashton

    One of the biggest assumptions we make is that people interacting with our designs have a good wifi connection and a wide screen monitor. However, our users may be commuters using smaller mobile devices that may experience disconnects in connectivity in the real world. There is nothing more frustrating than a web page that won’t load, but there are ways we can help users use less data or deal with sporadic connectivity.

    The srcset attribute allows the browser to decide which image to serve. This means we can create smaller ‘cropped’ images to display on mobile devices in turn using less bandwidth and less data.

    Image alt text

    The preload attribute can also help us to think about how and when media is downloaded. It can be used to tell a browser about any critical assets that need to be downloaded with high priority, improving perceived performance and the user experience. 

      

    There’s also native lazy loading, which indicates assets that should only be downloaded when they are needed.

    …

    With srcset, preload, and lazy loading, we can start to tailor a user’s experience based on the situation they find themselves in. What none of this does, however, is allow the user themselves to decide what they want downloaded, as the decision is usually the browser’s to make. 

    So how can we put users in control?

    The return of media inquiries

    Media answers have always been about much more than device sizes. They allow content to adapt to different situations, with screen size being just one of them.

    We’ve long been able to check for media types like print and speech and features such as hover, resolution, and color. These checks allow us to provide options that suit more than one scenario, it’s less about one-size-fits-all and more about serving adaptable content.

    The Media Queries Level 5 spec is still being developed as of this writing. It introduces some really exciting queries that in the future will help us design for multiple other unexpected situations.

    For instance, a light-level option lets you alter a user’s style when they are in the dark or in the sun. Paired with custom properties, these features allow us to quickly create designs or themes for specific environments.

    @media (light-level: normal) { --background-color: #fff; --text-color: #0b0c0c; }@media (light-level: dim) { --background-color: #efd226; --text-color: #0b0c0c;}

    Another key feature of the Level 5 spec is personalization. Instead of creating designs that are the same for everyone, users can choose what works for them. This is achieved by using features like prefers-reduced-data, prefers-color-scheme, and prefers-reduced-motion, the latter two of which already enjoy broad browser support. These features tap into preferences set via the operating system or browser so people don’t have to spend time making each site they visit more usable. 

    Media answers like this go beyond choices made by a browser to grant more control to the user.

    Expect the unexpected

    In the end, we should always anticipate that things will change. Devices in particular change faster than we can keep up, with foldable screens already on the market.

    We can design for content, but we can’t do it the same way we do for this constantly changing landscape. By putting content first and allowing that content to adapt to whatever space surrounds it, we can create more robust, flexible designs that increase the longevity of our products.

    A lot of the CSS discussed here is about moving away from layouts and putting content at the heart of design. There is so much more we can do to adopt a more intrinsic approach, from responsive components to fixed and fluid units. Even better, we can test these techniques during the design phase by designing in-browser and watching how our designs adapt in real-time.

    When it comes to unexpected circumstances, we need to make sure our goods are accessible whenever and wherever needed. We can move closer to achieving this by involving users in our design decisions, by creating choice via browsers, and by giving control to our users with user-preference-based media queries.

    Good design for the unexpected should allow for change, provide choice, and give control to those we serve: our users themselves.

  • Voice Content and Usability

    Voice Content and Usability

    We’ve been having conversations for thousands of years. Whether to convey information, conduct transactions, or simply to check in on one another, people have yammered away, chattering and gesticulating, through spoken conversation for countless generations. Only in the last few millennia have we begun to commit our conversations to writing, and only in the last few decades have we begun to outsource them to the computer, a machine that shows much more affinity for written correspondence than for the slangy vagaries of spoken language.

    Computers have trouble because between spoken and written language, speech is more primordial. To have successful conversations with us, machines must grapple with the messiness of human speech: the disfluencies and pauses, the gestures and body language, and the variations in word choice and spoken dialect that can stymie even the most carefully crafted human-computer interaction. In the human-to-human scenario, spoken language also has the privilege of face-to-face contact, where we can readily interpret nonverbal social cues.

    In contrast, written language immediately concretizes as we commit it to record and retains usages long after they become obsolete in spoken communication (the salutation “To whom it may concern,” for example), generating its own fossil record of outdated terms and phrases. Because it tends to be more consistent, polished, and formal, written text is fundamentally much easier for machines to parse and understand.

    Spoken language has no such luxury. Besides the nonverbal cues that decorate conversations with emphasis and emotional context, there are also verbal cues and vocal behaviors that modulate conversation in nuanced ways: how something is said, not what. Whether rapid-fire, low-pitched, or high-decibel, whether sarcastic, stilted, or sighing, our spoken language conveys much more than the written word could ever muster. So when it comes to voice interfaces—the machines we conduct spoken conversations with—we face exciting challenges as designers and content strategists.

    Voice Interactions

    We interact with voice interfaces for a variety of reasons, but according to Michael McTear, Zoraida Callejas, and David Griol in The Conversational Interface, those motivations by and large mirror the reasons we initiate conversations with other people, too (). Generally, we start up a conversation because:

    • we need something done (such as a transaction),
    • we want to know something (information of some sort), or
    • we are social beings and want someone to talk to (conversation for conversation’s sake).

    These three categories—which I call transactional, informational, and prosocial—also characterize essentially every voice interaction: a single conversation from beginning to end that realizes some outcome for the user, starting with the voice interface’s first greeting and ending with the user exiting the interface. Note here that a conversation in our human sense—a chat between people that leads to some result and lasts an arbitrary length of time—could encompass multiple transactional, informational, and prosocial voice interactions in succession. In other words, a voice interaction is a conversation, but a conversation is not necessarily a single voice interaction.

    Purely prosocial conversations are more gimmicky than captivating in most voice interfaces, because machines don’t yet have the capacity to really want to know how we’re doing and to do the sort of glad-handing humans crave. There’s also ongoing debate as to whether users actually prefer the sort of organic human conversation that begins with a prosocial voice interaction and shifts seamlessly into other types. In fact, in Voice User Interface Design, Michael Cohen, James Giangola, and Jennifer Balogh recommend sticking to users’ expectations by mimicking how they interact with other voice interfaces rather than trying too hard to be human—potentially alienating them in the process ().

    That leaves two genres of conversations we can have with one another that a voice interface can easily have with us, too: a transactional voice interaction realizing some outcome (“buy iced tea”) and an informational voice interaction teaching us something new (“discuss a musical”).

    Transactional voice interactions

    Unless you’re tapping buttons on a food delivery app, you’re generally having a conversation—and therefore a voice interaction—when you order a Hawaiian pizza with extra pineapple. Even when we walk up to the counter and place an order, the conversation quickly pivots from an initial smattering of neighborly small talk to the real mission at hand: ordering a pizza (generously topped with pineapple, as it should be).

    Alison: Hey, how’s it going?

    Burhan: Hi, welcome to Crust Deluxe! It’s cold out there. How can I help you?

    Alison: Can I get a Hawaiian pizza with extra pineapple?

    Burhan: Sure, what size?

    Alison: Large.

    Burhan: Anything else?

    Alison: No thanks, that’s it.

    Burhan: Something to drink?

    Alison: I’ll have a bottle of Coke.

    Burhan: You got it. That’ll be $13.55 and about fifteen minutes.

    Each progressive disclosure in this transactional conversation reveals more and more of the desired outcome of the transaction: a service rendered or a product delivered. Transactional conversations have certain key traits: they’re direct, to the point, and economical. They quickly dispense with pleasantries.

    Informational voice interactions

    Meanwhile, some conversations are primarily about obtaining information. Though Alison might visit Crust Deluxe with the sole purpose of placing an order, she might not actually want to walk out with a pizza at all. She might be just as interested in whether they serve halal or kosher dishes, gluten-free options, or something else. Here, though we again have a prosocial mini-conversation at the beginning to establish politeness, we’re after much more.

    Alison: Hey, how’s it going?

    Burhan: Hi, welcome to Crust Deluxe! It’s cold out there. How can I help you?

    Alison: Can I ask a few questions?

    Burhan: Of course! Go right ahead.

    Alison: Do you have any halal options on the menu?

    Burhan: Absolutely! We can make any pie halal by request. We also have lots of vegetarian, ovo-lacto, and vegan options. Are you thinking about any other dietary restrictions?

    Alison: What about gluten-free pizzas?

    Burhan: We can definitely do a gluten-free crust for you, no problem, for both our deep-dish and thin-crust pizzas. Anything else I can answer for you?

    Alison: That’s it for now. Good to know. Thanks!

    Burhan: Anytime, come back soon!

    This is a very different dialogue. Here, the goal is to get a certain set of facts. Informational conversations are investigative quests for the truth—research expeditions to gather data, news, or facts. Voice interactions that are informational might be more long-winded than transactional conversations by necessity. Responses tend to be lengthier, more informative, and carefully communicated so the customer understands the key takeaways.

    Voice Interfaces

    At their core, voice interfaces employ speech to support users in reaching their goals. But simply because an interface has a voice component doesn’t mean that every user interaction with it is mediated through voice. Because multimodal voice interfaces can lean on visual components like screens as crutches, we’re most concerned in this book with pure voice interfaces, which depend entirely on spoken conversation, lack any visual component whatsoever, and are therefore much more nuanced and challenging to tackle.

    Though voice interfaces have long been integral to the imagined future of humanity in science fiction, only recently have those lofty visions become fully realized in genuine voice interfaces.

    Interactive voice response (IVR) systems

    Though written conversational interfaces have been fixtures of computing for many decades, voice interfaces first emerged in the early 1990s with text-to-speech (TTS) dictation programs that recited written text aloud, as well as speech-enabled in-car systems that gave directions to a user-provided address. With the advent of interactive voice response (IVR) systems, intended as an alternative to overburdened customer service representatives, we became acquainted with the first true voice interfaces that engaged in authentic conversation.

    IVR systems allowed organizations to reduce their reliance on call centers but soon became notorious for their clunkiness. Commonplace in the corporate world, these systems were primarily designed as metaphorical switchboards to guide customers to a real phone agent (“Say Reservations to book a flight or check an itinerary”); chances are you will enter a conversation with one when you call an airline or hotel conglomerate. Despite their functional issues and users’ frustration with their inability to speak to an actual human right away, IVR systems proliferated in the early 1990s across a variety of industries (, PDF).

    While IVR systems are great for highly repetitive, monotonous conversations that generally don’t veer from a single format, they have a reputation for less scintillating conversation than we’re used to in real life (or even in science fiction).

    Screen readers

    Parallel to the evolution of IVR systems was the invention of the screen reader, a tool that transcribes visual content into synthesized speech. For Blind or visually impaired website users, it’s the predominant method of interacting with text, multimedia, or form elements. Screen readers represent perhaps the closest equivalent we have today to an out-of-the-box implementation of content delivered through voice.

    Among the first screen readers known by that moniker was the Screen Reader for the BBC Micro and NEEC Portable developed by the Research Centre for the Education of the Visually Handicapped (RCEVH) at the University of Birmingham in 1986 (). That same year, Jim Thatcher created the first IBM Screen Reader for text-based computers, later recreated for computers with graphical user interfaces (GUIs) ().

    With the rapid growth of the web in the 1990s, the demand for accessible tools for websites exploded. Thanks to the introduction of semantic HTML and especially ARIA roles beginning in 2008, screen readers started facilitating speedy interactions with web pages that ostensibly allow disabled users to traverse the page as an aural and temporal space rather than a visual and physical one. In other words, screen readers for the web “provide mechanisms that translate visual design constructs—proximity, proportion, etc.—into useful information,” writes Aaron Gustafson in A List Apart. “At least they do when documents are authored thoughtfully” ().

    Though deeply instructive for voice interface designers, there’s one significant problem with screen readers: they’re difficult to use and unremittingly verbose. The visual structures of websites and web navigation don’t translate well to screen readers, sometimes resulting in unwieldy pronouncements that name every manipulable HTML element and announce every formatting change. For many screen reader users, working with web-based interfaces exacts a cognitive toll.

    In Wired, accessibility advocate and voice engineer Chris Maury considers why the screen reader experience is ill-suited to users relying on voice:

    From the beginning, I hated the way that Screen Readers work. Why are they designed the way they are? It makes no sense to present information visually and then, and only then, translate that into audio. All of the time and energy that goes into creating the perfect user experience for an app is wasted, or even worse, adversely impacting the experience for blind users. ()

    In many cases, well-designed voice interfaces can speed users to their destination better than long-winded screen reader monologues. After all, visual interface users have the benefit of darting around the viewport freely to find information, ignoring areas irrelevant to them. Blind users, meanwhile, are obligated to listen to every utterance synthesized into speech and therefore prize brevity and efficiency. Disabled users who have long had no choice but to employ clunky screen readers may find that voice interfaces, particularly more modern voice assistants, offer a more streamlined experience.

    Voice assistants

    When we think of voice assistants (the subset of voice interfaces now commonplace in living rooms, smart homes, and offices), many of us immediately picture HAL from 2001: A Space Odyssey or hear Majel Barrett’s voice as the omniscient computer in Star Trek. Voice assistants are akin to personal concierges that can answer questions, schedule appointments, conduct searches, and perform other common day-to-day tasks. And they’re rapidly gaining more attention from accessibility advocates for their assistive potential.

    Before the earliest IVR systems found success in the enterprise, Apple published a demonstration video in 1987 depicting the Knowledge Navigator, a voice assistant that could transcribe spoken words and recognize human speech to a great degree of accuracy. Then, in 2001, Tim Berners-Lee and others formulated their vision for a Semantic Web “agent” that would perform typical errands like “checking calendars, making appointments, and finding locations” (, behind paywall). It wasn’t until 2011 that Apple’s Siri finally entered the picture, making voice assistants a tangible reality for consumers.

    Thanks to the plethora of voice assistants available today, there is considerable variation in how programmable and customizable certain voice assistants are over others (Fig 1.1). At one extreme, everything except vendor-provided features is locked down; for example, at the time of their release, the core functionality of Apple’s Siri and Microsoft’s Cortana couldn’t be extended beyond their existing capabilities. Even today, it isn’t possible to program Siri to perform arbitrary functions, because there’s no means by which developers can interact with Siri at a low level, apart from predefined categories of tasks like sending messages, hailing rideshares, making restaurant reservations, and certain others.

    At the opposite end of the spectrum, voice assistants like Amazon Alexa and Google Home offer a core foundation on which developers can build custom voice interfaces. For this reason, programmable voice assistants that lend themselves to customization and extensibility are becoming increasingly popular for developers who feel stifled by the limitations of Siri and Cortana. Amazon offers the Alexa Skills Kit, a developer framework for building custom voice interfaces for Amazon Alexa, while Google Home offers the ability to program arbitrary Google Assistant skills. Today, users can choose from among thousands of custom-built skills within both the Amazon Alexa and Google Assistant ecosystems.

    As corporations like Amazon, Apple, Microsoft, and Google continue to stake their territory, they’re also selling and open-sourcing an unprecedented array of tools and frameworks for designers and developers that aim to make building voice interfaces as easy as possible, even without code.

    Often by necessity, voice assistants like Amazon Alexa tend to be monochannel—they’re tightly coupled to a device and can’t be accessed on a computer or smartphone instead. By contrast, many development platforms like Google’s Dialogflow have introduced omnichannel capabilities so users can build a single conversational interface that then manifests as a voice interface, textual chatbot, and IVR system upon deployment. I don’t prescribe any specific implementation approaches in this design-focused book, but in Chapter 4 we’ll get into some of the implications these variables might have on the way you build out your design artifacts.

    Voice Content

    Simply put, voice content is content delivered through voice. To preserve what makes human conversation so compelling in the first place, voice content needs to be free-flowing and organic, contextless and concise—everything written content isn’t.

    Our world is replete with voice content in various forms: screen readers reciting website content, voice assistants rattling off a weather forecast, and automated phone hotline responses governed by IVR systems. In this book, we’re most concerned with content delivered auditorily—not as an option, but as a necessity.

    For many of us, our first foray into informational voice interfaces will be to deliver content to users. There’s only one problem: any content we already have isn’t in any way ready for this new habitat. So how do we make the content trapped on our websites more conversational? And how do we write new copy that lends itself to voice interactions?

    Lately, we’ve begun slicing and dicing our content in unprecedented ways. Websites are, in many respects, colossal vaults of what I call macrocontent: lengthy prose that can extend for infinitely scrollable miles in a browser window, like microfilm viewers of newspaper archives. Back in 2002, well before the present-day ubiquity of voice assistants, technologist Anil Dash defined microcontent as permalinked pieces of content that stay legible regardless of environment, such as email or text messages:

    A day’s weather forcast [sic], the arrival and departure times for an airplane flight, an abstract from a long publication, or a single instant message can all be examples of microcontent. ()

    I’d update Dash’s definition of microcontent to include all examples of bite-sized content that go well beyond written communiqués. After all, today we encounter microcontent in interfaces where a small snippet of copy is displayed alone, unmoored from the browser, like a textbot confirmation of a restaurant reservation. Microcontent offers the best opportunity to gauge how your content can be stretched to the very edges of its capabilities, informing delivery channels both established and novel.

    As microcontent, voice content is unique because it’s an example of how content is experienced in time rather than in space. We can glance at a digital sign underground for an instant and know when the next train is arriving, but voice interfaces hold our attention captive for periods of time that we can’t easily escape or skip, something screen reader users are all too familiar with.

    Because microcontent is fundamentally made up of isolated blobs with no relation to the channels where they’ll eventually end up, we need to ensure that our microcontent truly performs well as voice content—and that means focusing on the two most important traits of robust voice content: voice content legibility and voice content discoverability.

    Fundamentally, the legibility and discoverability of our voice content both have to do with how voice content manifests in perceived time and space.

  • Sustainable Web Design, An Excerpt

    Sustainable Web Design, An Excerpt

    Many wealthy runners had come to the conclusion that it was impossible to run a mile in less than four hours in the 1950s. Riders had been attempting it since the later 19th century and were beginning to draw the conclusion that the human body just wasn’t built for the job.

    But on May 6, 1956, Roger Bannister caught all off guard. It was a cold, damp morning in Oxford, England—conditions no one expected to give themselves to record-setting—and but Bannister did really that, running a mile in 3: 59.4 and becoming the first people in the history books to run a mile in under four hours.

    The world then knew that the four-minute hour was possible thanks to this change in the standard. Bannister’s history lasted just forty-six days, when it was snatched aside by American sprinter John Landy. Finally, in the same race, three athletes all managed to cross the four-minute challenge. Since therefore, over 1, 400 walkers have actually run a mile in under four days, the current document is 3: 43.13, held by Moroccan performer Hicham El Guerrouj.

    We can do a lot more with what we think is possible, and we can only do it if we see that someone else has already done it. As with individual running speed, there are also hard limits on how a website can accomplish.

    Establishing requirements for a green website

    The key indicators of climate performance in most big companies are very well established, such as power per square metre for homes and miles per gallon for cars. The tools and methods for calculating those measures are standardized as well, which keeps everyone on the same site when doing economic evaluations. However, we aren’t held to any specific environmental standards in the world of websites and apps, and we only recently have access to the tools and strategies we need to do so.

    The main objective in green web layout is to reduce carbon emissions. However, it’s nearly impossible to accurately assess the amount of CO2 that a website merchandise produces. We didn’t measure the pollutants coming out of the exhaust valves on our laptops. The pollution coming from power plants that burn coal and oil are far apart, out of sight, and out of mind. We have no way to track the particles from a website or app up to the power station where the light is being generated and really know the exact amount of house oil produced. What then do we do?

    If we can‘t measure the actual carbon emissions, then we need to get what we can estimate. The following are the main elements that could be used as coal pollution gauges:

    1. Transfer of data
    2. Electricity’s coal power

    Let’s take a look at how we can use these indicators to calculate the energy use, and in turn the carbon footprint, of the sites and web applications we create.

    Transfer of data

    Most researchers use kilowatt-hours per gigabyte (k Wh/GB ) as a metric of energy efficiency when measuring the amount of data transferred over the internet when a website or application is used. This serves as a great example of how much energy is consumed and how much carbon is released. As a rule of thumb, the more data transferred, the more energy used in the data center, telecoms networks, and end user devices.

    The most accurate way to calculate data transfer for a single visit for web pages is to measure the page weight, which is the first time a user visits the page in kilobytes. It’s fairly easy to measure using the developer tools in any modern web browser. Frequently, any web application’s overall data transfer statistics will be included in your web hosting account ( Fig. 2.1 ).

    The nice thing about page weight as a metric is that it allows us to compare the efficiency of web pages on a level playing field without confusing the issue with constantly changing traffic volumes.

    A large scope is necessary to reduce page weight. By early 2020, the median page weight was 1.97 MB for setups the HTTP Archive classifies as “desktop” and 1.77 MB for “mobile”, with desktop increasing 36 percent since January 2016 and mobile page weights nearly doubling in the same period ( Fig 2.2 ). Image files account for the majority of this data transfer, making them the single biggest contributor to carbon emissions on a typical website.

    History clearly shows us that our web pages can be smaller, if only we set our minds to it. While the majority of technologies, including the underlying technology of the web like data centers and transmission networks, become more and more energy efficient, websites themselves become less effective as time goes on.

    You might be aware of the idea behind performance budgeting as a method for directing a project team to deliver faster user experiences. For example, we might specify that the website must load in a maximum of one second on a broadband connection and three seconds on a 3G connection. Performance budgets are upper limits rather than hazy ideas, much like speed limits while driving. As a result, the goal should always be to stay within budget.

    Designing for fast performance does often lead to reduced data transfer and emissions, but it isn’t always the case. Page weight and transfer size are more objective and reliable benchmarks for sustainable web design, whereas web performance often depends more on the user’s perception of load times than it does on how effective the underlying system is.

    We can set a page weight budget in reference to a benchmark of industry averages, using data from sources like HTTP Archive. We can also use the page weight to compare it to competitors or the outdated website we’re replacing. For example, we might set a maximum page weight budget as equal to our most efficient competitor, or we could set the benchmark lower to guarantee we are best in class.

    If we want to take it to the next level, we could start looking at how much more popular our web pages are when people visit them frequently. Although page weight for the first time someone visits is the easiest thing to measure, and easy to compare on a like-for-like basis, we can learn even more if we start looking at transfer size in other scenarios too. For instance, visitors who load the same page more frequently are likely to have a high percentage of the files cached in their browser, which means they don’t need to move all the files on subsequent visits. Likewise, a visitor who navigates to new pages on the same website will likely not need to load the full page each time, as some global assets from areas like the header and footer may already be cached in their browser. Moving beyond the first visit and measuring page weight budgets for scenarios beyond this level of detail can help us learn even more about how to optimize efficiency for users who regularly visit our pages.

    Page weight budgets are easy to track throughout a design and development process. Although they don’t directly disclose carbon emissions and energy consumption data, they do provide a clear indicator of efficiency in comparison to other websites. And as transfer size is an effective analog for energy consumption, we can actually use it to estimate energy consumption too.

    In summary, less data transfer leads to more energy efficiency, which is a crucial component of reducing web product carbon emissions. The more efficient our products, the less electricity they use, and the less fossil fuels need to be burned to produce the electricity to power them. However, as we’ll see next, it’s important to take into account the source of that electricity because all web products require some.

    Electricity’s coal power

    Regardless of energy efficiency, the level of pollution caused by digital products depends on the carbon intensity of the energy being used to power them. The term” carbon intensity” (gCO2/k Wh ) is used to describe how much carbon dioxide is produced for each kilowatt-hour of electricity produced. This varies widely, with renewable energy sources and nuclear having an extremely low carbon intensity of less than 10 gCO2/k Wh ( even when factoring in their construction ), whereas fossil fuels have very high carbon intensity of approximately 200–400 gCO2/k Wh.

    The majority of electricity is produced by national or state grids, where energy from a variety of sources is combined with various levels of carbon intensity. The distributed nature of the internet means that a single user of a website or app might be using energy from multiple different grids simultaneously, a website user in Paris uses electricity from the French national grid to power their home internet and devices, but the website’s data center could be in Dallas, USA, pulling electricity from the Texas grid, while the telecoms networks use energy from everywhere between Dallas and Paris.

    Although we don’t have complete control over the energy supply of web services, we do have some control over where our projects are hosted. With a data center using a significant proportion of the energy of any website, locating the data center in an area with low carbon energy will tangibly reduce its carbon emissions. Danish startup Tomorrow reports and maps the user-provided data, and a look at their map demonstrates how, for instance, choosing a data center in France will result in significantly lower carbon emissions than choosing a data center in the Netherlands ( Fig. 2.3 ).

    However, we don’t want to move our servers too far away from our users because it requires energy to transmit data through the telecom’s networks, and the more energy is used. Just like food miles, we can think of the distance from the data center to the website’s core user base as “megabyte miles” —and we want it to be as small as possible.

    We can use website analytics to determine the country, state, or even city where our core user group is located and measure the distance between that location and the data center that our hosting company uses as a benchmark. This will be a somewhat fuzzy metric as we don’t know the precise center of mass of our users or the exact location of a data center, but we can at least get a rough idea.

    For instance, if a website is hosted in London but the main audience is on the United States ‘ West Coast, we could calculate the distance between San Francisco and London, which is 5,300 miles. That’s a long way! We can see how significantly lessening the distance and energy needed to transmit the data would be if it was hosted somewhere in North America, ideally on the West Coast. In addition, locating our servers closer to our visitors helps reduce latency and delivers better user experience, so it’s a win-win.

    Reverting it to carbon emissions

    If we combine carbon intensity with a calculation for energy consumption, we can calculate the carbon emissions of our websites and apps. A tool my team created accomplishes this by measuring the data transfer over the wire when a web page is loaded, calculating the associated electricity consumption, and then converting that data into a CO2 figure ( Fig. 2.4). It also factors in whether or not the web hosting is powered by renewable energy.

    The Energy and Emissions Worksheet that comes with this book teaches you how to take it one step further and tailor the data more precisely to the unique aspects of your project.

    With the ability to calculate carbon emissions for our projects, we could even set up carbon budgets as well. CO2 is not a metric commonly used in web projects, we’re more familiar with kilobytes and megabytes, and can fairly easily look at design options and files to assess how big they are. Although translating that into carbon adds an air of abstraction, carbon budgets do focus our minds on the main issue we’re trying to reduce, which also supports the main goal of sustainable web design: reducing carbon emissions.

    Browser Energy

    Transfer of data might be the simplest and most complete analog for energy consumption in our digital projects, but by giving us one number to represent the energy used in the data center, the telecoms networks, and the end user’s devices, it can’t offer us insights into the efficiency in any specific part of the system.

    One part of the system we can look at in more detail is the energy used by end users ‘ devices. The computational burden is increasingly shifting from the data center to the users ‘ devices, whether they are phones, tablets, laptops, desktops, or even smart TVs, as front-end web technologies advance. Modern web browsers allow us to implement more complex styling and animation on the fly using CSS and JavaScript. Additionally, JavaScript libraries like Angular and React make it possible to create applications where the” thinking” process is performed either partially or completely in the browser.

    All of these advances are exciting and open up new possibilities for what the web can do to serve society and create positive experiences. However, more energy is used by the user’s devices as a result of the user’s web browser’s increased computation. This has implications not just environmentally, but also for user experience and inclusivity. Applications that put a lot of processing power on a user’s device unintentionally exclude those who have older, slower devices and make the batteries on phones and laptops drain more quickly. Furthermore, if we build web applications that require the user to have up-to-date, powerful devices, people throw away old devices much more frequently. The poorest members of society are also under disproportionate financial burdens due to this, which is not just bad for the environment.

    In part because the tools are limited, and partly because there are so many different models of devices, it’s difficult to measure website energy consumption on end users ‘ devices. The Energy Impact monitor inside the developer console of the Safari browser is one of the tools we currently have ( Fig. 2.5 ).

    You know when your computer’s cooling fans start spinning so frantically that you suspect it might take off when you load a website? That’s essentially what this tool is measuring.

    It uses these figures to create an energy impact rating and shows the percentage of CPU used and how long the CPU used when loading the web page last. It doesn’t give us precise data for the amount of electricity used in kilowatts, but the information it does provide can be used to benchmark how efficiently your websites use energy and set targets for improvement.