User Centered Design Quotes

Art is self-centered Design is user-centered

The more you watch users carefully and listen to them articulate their intentions, motivations, and thought processes, the more you realize that their individual reactions to Web pages are based on so many variables that attempts to describe users in terms of one-dimensional likes and dislikes are futile and counter-productive. Good design, on the other hand, takes this complexity into account.

In order to build products that users love, we need to include users in the process of building them.

If your product solves real problems, has a simple, intuitive interaction and an appealing, easy-to-read visual design, yet people aren’t using it, chances are your product is failing to communicate at a human level.

One cannot not communicate. Because every behavior is a kind of communication, people who are aware of each other are constantly communicating. Any perceivable behavior, including the absence of action, has the potential to be interpreted by other people as having some meaning.

A golden visa is a permanent residency visa issued to individuals who invest, often through the purchase of property, a certain sum of money into the issuing country. The United States EB-5 visa program requires overseas applicants to invest a minimum of anywhere from $500,000 to $1 million, depending on the location of the project, and requires at least 10 jobs to be either created or preserved.[22] When these criteria are met, the applicant and their family become eligible for a green card. There is an annual cap of 10,000 applications under the EB-5 program.[citation needed] The U.S. Citizenship and Immigration Services (USCIS) has offered its EB-5 Immigrant Investor Program since 1990. It is designed to encourage foreign investment in infrastructure projects in the U.S., particularly in Targeted Employment Areas (TEA), high unemployment areas. The funds are channeled through agencies called regional centers, now designated only by the U.S. Department of Homeland Security. The funding opportunities allow the investor to make a sound financial investment and obtain a U.S. “Green Card. A large majority of users of such programs are wealthy Chinese seeking legal security and a better quality of life outside of their home country.

user-developed innovations for the high-performance sport. The user-centered innovation process just illustrated is in sharp contrast to the traditional model, in which products and services are developed by manufacturers in a closed way, the manufacturers using patents, copyrights, and other protections to prevent imitators from free riding on their innovation investments. In this traditional model, a user's only role is to have needs, which manufacturers then identify and fill by designing and producing new products. The manufacturer-centric model does fit some fields and conditions. However, a growing body of empirical work shows that users are the first to develop many and perhaps most new industrial and consumer products. Further, the contribution of users is growing steadily larger as a result of continuing advances in computer and communications capabilities. In this book I explain in detail how the emerging process of user-centric, democratized innovation works. I also explain how innovation by users provides a very necessary complement to and feedstock for manufacturer innovation. The ongoing shift of innovation to users has some very attractive qualities. It is becoming progressively easier for many users to get precisely what they

Requirements must be falsifiable—that is, it must be possible to demonstrate when a requirement has not been met.

Documentation is never an end in itself; it is only a means to an end. Creating documentation for its own sake is not merely a waste of time—it can be counterproductive and demoralizing.

The easiest way to describe how to harness the galvanizing power of why is with a tool I call the belief statement. For example, most of Apple’s product launches in recent years feature slick videos with commentary from Apple designers, engineers, and executives. These videos, while camouflaged as beautiful product showcases, are actually packed with statements not about what the products do but about the design thinking behind them: in essence, the tightly held beliefs with which Apple’s design team operates. We believe our users should be at the center of everything we do. We believe that a piece of technology should be as beautiful as it is functional. We believe that making devices thinner and lighter but more powerful requires innovative problem solving. Belief statements like these are so compelling for two reasons. First, the right corporate or organizational beliefs have the ability to resonate with our personal belief systems and feelings, and move us to action. In fact, the 2018 Edelman Earned Brand study revealed that nearly two out of three people are now belief-driven buyers.4 And as we saw in our discussion of buyers’ emotional motivators in chapter 3, this works even if the beliefs stated are aspirational. For example, if my vision for my future self is someone who weighs a few pounds less and is in better physical shape, a well-timed ad from a health club or fancy kitchen blender evangelizing the benefits of a healthy lifestyle may be enough to rapidly convert me. In the case of Apple, the same phenomenon results in mobs of smitten consumers arriving at stores in droves, braving long lines and paying premium prices, as if to say, “Yes! I do believe I should be at the center of everything you do! Technology should be beautiful! Thinner? Lighter? More powerful? Of course! We share the same vision! We’re both cool!” (Although these actual words are rarely spoken aloud.) The second reason belief statements are so compelling is because they help us manifest the conviction and emotion critical to delivering our message in an authentic way.

The insatiable need for more processing power -- ideally, located as close as possible to the user but, at the very least, in nearby indus­trial server farms -- invariably leads to a third option: decentralized computing. With so many powerful and often inactive devices in the homes and hands of consumers, near other homes and hands, it feels inevitable that we'd develop systems to share in their mostly idle pro­cessing power. "Culturally, at least, the idea of collectively shared but privately owned infrastructure is already well understood. Anyone who installs solar panels at their home can sell excess power to their local grid (and, indirectly, to their neighbor). Elon Musk touts a future in which your Tesla earns you rent as a self-driving car when you're not using it yourself -- better than just being parked in your garage for 99% of its life. "As early as the 1990s programs emerged for distributed computing using everyday consumer hardware. One of the most famous exam­ples is the University of California, Berkeley's SETl@HOME, wherein consumers would volunteer use of their home computers to power the search for alien life. Sweeney has highlighted that one of the items on his 'to-do list' for the first-person shooter Unreal Tournament 1, which shipped in 1998, was 'to enable game servers to talk to each other so we can just have an unbounded number of players in a single game session.' Nearly 20 years later, however, Sweeney admitted that goal 'seems to still be on our wish list.' "Although the technology to split GPUs and share non-data cen­ter CPUs is nascent, some believe that blockchains provide both the technological mechanism for decentralized computing as well as its economic model. The idea is that owners of underutilized CPUs and GPUs would be 'paid' in some cryptocurrency for the use of their processing capabilities. There might even be a live auction for access to these resources, either those with 'jobs' bidding for access or those with capacity bidding on jobs. "Could such a marketplace provide some of the massive amounts of processing capacity that will be required by the Metaverse? Imagine, as you navigate immersive spaces, your account continuously bidding out the necessary computing tasks to mobile devices held but unused by people near you, perhaps people walking down the street next to you, to render or animate the experiences you encounter. Later, when you’re not using your own devices, you would be earning tokens as they return the favor. Proponents of this crypto-exchange concept see it as an inevitable feature of all future microchips. Every computer, no matter how small, would be designed to be auctioning off any spare cycles at all times. Billions of dynamically arrayed processors will power the deep compute cycles of event the largest industrial customers and provide the ultimate and infinite computing mesh that enables the Metaverse.

Meanwhile, the chain cut back on a lot of what might have helped deter shoplifting. Lee Scott, Walmart’s chairman from 2000 to 2009—the years when the opiate addiction crisis was gathering force—came in to boost profits by cutting costs. Workers already weren’t paid a lot. Under Scott, Walmart stores cut staff on the floor and greeters at the entrances, all of which deterred crime. It seemed to me that their store design already encouraged shoplifting, with dimmer lights compared to other stores, no videos in restrooms or at blind corners. With automatic cashiers at the exits, shoppers could spend an entire outing at Walmart and not see an employee. In a good many towns, Walmart was the only store. In others, it was one of the few, coexisting with a supermarket, maybe a Big Lots or a JCPenney. Either way, I found, no chain had a reputation among drug users for being easier to rip off than Walmart. I heard this over and over. They avoided Target because of its wider aisles and brighter lights. Whatever the dealers wanted in exchange for their dope was usually available at Walmart. The chain offered an easy shopping experience—and an easy shoplifting experience, as well. “It was convenient,” said Monica Tucker, who runs a drug rehab center in eastern Tennessee but was a meth addict for seven years, and supported her habit at Walmart. “Anything you were requested to get [by the dealer], you could find it there. We stole lots of food. We weren’t eating because we were on meth, but everybody else was hungry at the dope dealer’s house.” With opioids, then later with meth, plentiful drug supply was paired with this easy source of goods to barter. Had there been the same vibrant Main Streets, ecosystems of the locally owned stores that were the lifeblood of many owners who lived in town and returned their profits to it, both the opioid crisis and the meth problem might have spread less quickly in many parts of the country.

Bitcoin is not a smart network. Bitcoin is a dumb network. It really is a dumb network. It is a dumb transaction-processing network. It’s a dumb network for verifying a very simple scripting language. It doesn’t offer a complete range of financial services and products. It doesn’t have automation and incredible features built in. Bitcoin is simply a dumb network, and that is one of its strongest and most important features. When you design networks, when you architect network systems, one of the most fundamental choices is this: do you make a dumb network that supports smart devices, or do you make a smart network that supports dumb devices? 5.1.1. The Smart Network - Phones The phone network was a very smart network. The telephone at the end of that network was a very dumb device. If you had a pulse-dialing phone, that thing had maybe four electronic components inside it. It was basically a switch on a wire with a speaker attached to it. You could dial by flicking the hook up and down fast enough. 
The phone was a dumb device; it had no intelligence whatsoever. Everything the phone network did was in the network. Caller ID was a network feature. Call waiting was a network feature. And if you wanted to make the experience better, you had to upgrade the network but you didn’t need to upgrade the device. That was a critical design decision because, at that time, the belief was that smart networks were better because you could deliver these incredible services just by upgrading the network for everyone. There is one small disadvantage with smart networks. They have to be upgraded from the center out. And that means innovation occurs at the center, by one player, and requires permission. As a result of smart network design, innovation only happens when a feature is needed by all of the subscribers of the network, when it is compelling enough to disrupt the function of the entire network to upgrade it. 5.1.2. The Dumb Network - Internet The internet is a dumb network. It’s dumb as rocks. All it can do is move data from point A to point B. It doesn’t know what that data is. It can’t tell the difference between a Skype call and a web page. It doesn’t know if the device on the end is a desktop computer or a mobile phone, a vacuum cleaner, a refrigerator, or a car. It doesn’t know if that device is powerful or not. If it can do multimedia or not. It doesn’t know, it doesn’t care. In order to run a new application or innovate on a dumb network, all you have to do is add innovation at the edge. Because a dumb network can support smart devices, you don’t need to change anything in the network. If you push intelligence to the edge of the network, an application that only has five users can be implemented so long as those five users upgrade their devices to implement that application. The dumb network will transport their data because it doesn’t know the difference and it doesn’t care. 5.1.3. Bitcoin’s Dumb Network Bitcoin is a dumb network supporting really smart devices, and that is an incredibly powerful concept because bitcoin pushes all of the intelligence to the edge. It doesn’t care if the bitcoin address is the address of a multimillionaire, the address of a central bank, the address of a smart contract, the address of a device, or the address of a human. It doesn’t know. It doesn’t care if the transaction is carrying lots of money or not much money at all. It doesn’t care if the address is in Kuala Lumpur or downtown New York. It doesn’t know, it doesn’t care. It moves money from one address to another based on a simple locking script. And that means that if you want to build a new application on top of bitcoin, you can upgrade the

Good UI design is like a good joke, it shouldn’t need an explanation.

A well-designed interface is like a good bartender, always there to serve you up something easy to use.

There are five ways technology can boost marketing practices: Make more informed decisions based on big data. The greatest side product of digitalization is big data. In the digital context, every customer touchpoint—transaction, call center inquiry, and email exchange—is recorded. Moreover, customers leave footprints every time they browse the Internet and post something on social media. Privacy concerns aside, those are mountains of insights to extract. With such a rich source of information, marketers can now profile the customers at a granular and individual level, allowing one-to-one marketing at scale. Predict outcomes of marketing strategies and tactics. No marketing investment is a sure bet. But the idea of calculating the return on every marketing action makes marketing more accountable. With artificial intelligence–powered analytics, it is now possible for marketers to predict the outcome before launching new products or releasing new campaigns. The predictive model aims to discover patterns from previous marketing endeavors and understand what works, and based on the learning, recommend the optimized design for future campaigns. It allows marketers to stay ahead of the curve without jeopardizing the brands from possible failures. Bring the contextual digital experience to the physical world. The tracking of Internet users enables digital marketers to provide highly contextual experiences, such as personalized landing pages, relevant ads, and custom-made content. It gives digital-native companies a significant advantage over their brick-and-mortar counterparts. Today, the connected devices and sensors—the Internet of Things—empowers businesses to bring contextual touchpoints to the physical space, leveling the playing field while facilitating seamless omnichannel experience. Sensors enable marketers to identify who is coming to the stores and provide personalized treatment. Augment frontline marketers’ capacity to deliver value. Instead of being drawn into the machine-versus-human debate, marketers can focus on building an optimized symbiosis between themselves and digital technologies. AI, along with NLP, can improve the productivity of customer-facing operations by taking over lower-value tasks and empowering frontline personnel to tailor their approach. Chatbots can handle simple, high-volume conversations with an instant response. AR and VR help companies deliver engaging products with minimum human involvement. Thus, frontline marketers can concentrate on delivering highly coveted social interactions only when they need to. Speed up marketing execution. The preferences of always-on customers constantly change, putting pressure on businesses to profit from a shorter window of opportunity. To cope with such a challenge, companies can draw inspiration from the agile practices of lean startups. These startups rely heavily on technology to perform rapid market experiments and real-time validation.

Art is self-centered. Design is user-centered.

Fall in love with users; not your design.

However, when practicing industrial or interactive designers refer to design research, they typically mean research that is integral to the design work itself—inquiries that are part of designing, not about design. This research focuses largely on understanding the people for whom we’re designing, often referred to by the dehumanizing but instrumental term end users. Research is a core part of user-centered design.

Design targets are not marketing targets. Stamp that on every persona document you create. Market segments do not translate into archetypes. And the user type with the highest value to your business may not be the one with the most value to the design process. Maybe existing Fantastic Science Center members with post-graduate science degrees generate the most revenue through gift shop sales and special event attendance, but they know too much. Their existing level of knowledge and engagement is likely to be very high. Design for the users with less expertise and you can meet the needs of those with more

User-centered design exemplifies the cybernetic strategy of “building quality in” by transforming construction into conversation. Integrating QA within an iterative feedback loop is key to this strategy. At its heart, it improves quality by increasing opportunities for meaningful empathy. It

Charles Du designed NASA’s first iPhone app, an award winner and a huge hit with more than 10 million downloads. But he also faced challenges from NASA brass who tried to water down his vision for the app. In a guest blog for Aha!, he laid out a basic principle: Maintaining your product vision is just as important as getting buy-in for that vision. After I got buy-in for the NASA app, a project manager was assigned to our team . . . a project manager is not the same as a product manager. Since my project manager didn’t understand the difference between the two roles and had seniority over me, we fought many battles. The vision of the app was user-driven. So, I validated my product hypothesis by talking to users and looking at our website metrics — a user-centered design approach. The project manager took a different approach. She saw this app as an opportunity to get more resources for our local center . . . She was advocating for politics-centered design that was divorced from any customer conversations. To me, this is a clear case of why product vision should drive everything you do as a product manager. I had clearly communicated why the vision for this app would achieve NASA’s high-level goals. This allowed senior leadership to see that I was working to help grow the whole organization. And it prevented politics from entering the picture. . . . We ended up launching a pure product designed 100 percent for our users — and it was a huge success.11

In the technology value stream, we optimize for downstream work centers by designing for operations, where operational non-functional requirements (e.g., architecture, performance, stability, testability, configurability, and security) are prioritized as highly as user features.

The user-centered innovation process just illustrated is in sharp contrast to the traditional model, in which products and services are developed by manufacturers in a closed way, the manufacturers using patents, copyrights, and other protections to prevent imitators from free riding on their innovation investments. In this traditional model, a user's only role is to have needs, which manufacturers then identify and fill by designing and producing new products.

The user-centered innovation process just illustrated is in sharp contrast to the traditional model, in which products and services are developed by manufacturers in a closed way, the manufacturers using patents, copyrights, and other protections to prevent imitators from free riding on their innovation investments. In this traditional model, a user's only role is to have needs, which manufacturers then identify and fill by designing and producing new products. The manufacturer-centric model does fit some fields and conditions. However, a growing body of empirical work shows that users are the

The practice of creating engaging, efficient user experiences is called user-centered design. The concept of user-centered design is very simple: Take the user into account every step of the way as you develop your product. The implications of this simple concept, however, are surprisingly complex. Everything the user experiences should be the result of a conscious decision on your part.

Successful businesses figure out how to join business goals with user goals. We call this value-centered design.

methods of human-centered, design-based innovation: user observations, brainstorming, prototyping, storytelling, and scenario building.

design thinking is essentially a problem-solving approach, crystallized in the field of design, which combines a holistic user-centered perspective with rational and analytical research with the goal of creating innovative solutions.

Presenting a style on your Web site that’s inconsistent with your style in other media doesn’t just affect the audience’s impression of that product; it affects their impression of your company as a whole. People respond positively to companies with clearly defined identities. Inconsistent visual styles undermine the clarity of your corporate image and leave the audience with the impression that this is a company that hasn’t quite figured out who it is.