Apple User Quotes

If you want to do something evil, put it inside something boring. Apple could put the entire text of "Mein Kampf" inside the iTunes user agreement, and you'd just go agree, agree, agree - what? - agree, agree.

Jobs's intensity was also evident in his ability to focus. He would set priorities, aim his laser attention on them, and filter out distractions. If something engaged him- the user interface for the original Macintosh, the design of the iPod and iPhone, getting music companies into the iTunes Store-he was relentless. But if he did not want to deal with something - a legal annoyance, a business issue, his cancer diagnosis, a family tug- he would resolutely ignore it. That focus allowed him to say no. He got Apple back on track by cutting all except a few core products. He made devices simpler by eliminating buttons, software simpler by eliminating features, and interfaces simpler by eliminating options. He attributed his ability to focus and his love of simplicity to his Zen training. It honed his appreciation for intuition, showed him how to filter out anything that was distracting or unnecessary, and nurtured in him an aesthetic based on minimalism.

Jobs had a tougher time navigating the controversies over Apple’s desire to keep tight control over which apps could be downloaded onto the iPhone and iPad. Guarding against apps that contained viruses or violated the user’s privacy made sense; preventing apps that took users to other websites to buy subscriptions, rather than doing it through the iTunes Store, at least had a business rationale. But Jobs and his team went further: They decided to ban any app that defamed people, might be politically explosive, or was deemed by Apple’s censors to be pornographic.

This was not to be the only time Apple completely forgot about at least 50% of their users. When Apple launched their AI, Siri, she (ironically) could find prostitutes and Viagra suppliers, but not abortion providers. Siri could help you if you’d had a heart attack, but if you told her you’d been raped, she replied ‘I don’t know what you mean by ‘I was raped.’ These are basic errors that surely would have been caught by a team with enough women on it – that is, by a team without a gender data gap.

people need simple, secure, powerful, integrated, and user-friendly ways to create, consume, purchase, share, and manage their content.

originated at the California research institute SRI International and was purchased by Apple in 2010, listened to what iPhone users were saying to it, tried to identify what they wanted,

One way to appreciate the brilliance of this acquisition is to look at Instagram’s “Power Index,” the number of people a platform reaches times their level of engagement. This social index reveals Instagram as the world’s most powerful platform, as it has 400 million users, a third of Facebook’s, but garners fifteen times the level of engagement. L2 Analysis of Unmetric Data.

Apple’s graphical user interface. Just as Jobs was being eased out of Apple in 1985, John Sculley had struck a surrender deal: Microsoft could license the Apple GUI for Windows 1.0, and in return it would make Excel exclusive to the Mac for up to two years. In 1988, after Microsoft came out with Windows 2.0, Apple sued. Sculley contended

Consider that the telephone took 75 years to reach 50 million users, whereas television was in 50 million households within 13 years, the internet in 4,  . . . and Angry Birds in 35 days. In the tech era, the pace is accelerating further: it took Microsoft Office 22 years to reach a billion users, but Gmail only 12, and Facebook 9. Trying

Apple’s chief technology officer, Ellen Hancock, argued for going with Sun’s UNIX-based Solaris operating system, even though it did not yet have a friendly user interface. Amelio began to favor using, of all things, Microsoft’s Windows NT, which he felt could be rejiggered on the surface to look and feel just like a Mac while being compatible

Disney and Apple/Microsoft are in the same business: short-circuiting laborious, explicit verbal communication with expensively designed interfaces. Disney is a sort of user interface unto itself—and more than just graphical. Let’s call it a Sensorial Interface. It can be applied to anything in the world, real or imagined, albeit at staggering expense.

As these contrasts show, capitalism has undergone enormous changes in the last two and a half centuries. While some of Smith’s basic principles remain valid, they do so only at very general levels. For example, competition among profit-seeking firms may still be the key driving force of capitalism, as in Smith’s scheme. But it is not between small, anonymous firms which, accepting consumer tastes, fight it out by increasing the efficiency in the use of given technology. Today, competition is among huge multinational companies, with the ability not only to influence prices but to redefine technologies in a short span of time (think about the battle between Apple and Samsung) and to manipulate consumer tastes through brand-image building and advertising.

Complexity can be tamed, but it requires considerable effort to do it well. Decreasing the number of buttons and displays is not the solution. The solution is to understand the total system, to design it in a way that allows all the pieces fit nicely together, so that initial learning as well as usage are both optimal. Years ago, Larry Tesler, then a vice president of Apple, argued that the total complexity of a system is a constant: as you make the person's interaction simpler, the hidden complexity behind the scenes increases. Make one part of the system simpler, said Tesler, and the rest of the system gets more complex. This principle is known today as "Tesler's law of the conservation of complexity." Tesler described it as a tradeoff: making things easier for the user means making it more difficult for the designer or engineer.

No one has been able to aggregate more intention data on what consumers like than Google. Google not only sees you coming, but sees where you’re going. When homicide investigators arrive at a crime scene and there is a suspect—almost always the spouse—they check the suspect’s search history for suspicious Google queries (like “how to poison your husband”). I suspect we’re going to find that U.S. agencies have been mining Google to understand the intentions of more than some shopper thinking about detergent, but cells looking for fertilizer to build bombs. Google controls a massive amount of behavioral data. However, the individual identities of users have to be anonymized and, to the best of our knowledge, grouped. People are not comfortable with their name and picture next to a list of all the things they have typed into the Google query box. And for good reasons. Take a moment to imagine your picture and your name above everything you have typed into that Google search box. You’ve no doubt typed in some crazy shit that you would rather other people not know. So, Google has to aggregate this data, and can only say that people of this age or people of this cohort, on average, type in these sorts of things into their Google search box. Google still has a massive amount of data it can connect, if not to specific identities, to specific groups.

There is an uncomfortable willingness among privacy campaigners to discriminate against mass surveillance conducted by the state to the exclusion of similar surveillance conducted for profit by large corporations. Partially, this is a vestigial ethic from the Californian libertarian origins of online pro-privacy campaigning. Partially, it is a symptom of the superior public relations enjoyed by Silicon Valley technology corporations, and the fact that those corporations also provide the bulk of private funding for the flagship digital privacy advocacy groups, leading to a conflict of interest. At the individual level, many of even the most committed privacy campaigners have an unacknowledged addiction to easy-to-use, privacy-destroying amenities like Gmail, Facebook, and Apple products. As a result, privacy campaigners frequently overlook corporate surveillance abuses. When they do address the abuses of companies like Google, campaigners tend to appeal to the logic of the market, urging companies to make small concessions to user privacy in order to repair their approval ratings. There is the false assumption that market forces ensure that Silicon Valley is a natural government antagonist, and that it wants to be on the public’s side—that profit-driven multinational corporations partake more of the spirit of democracy than government agencies. Many privacy advocates justify a predominant focus on abuses by the state on the basis that the state enjoys a monopoly on coercive force. For example, Edward Snowden was reported to have said that tech companies do not “put warheads on foreheads.” This view downplays the fact that powerful corporations are part of the nexus of power around the state, and that they enjoy the ability to deploy its coercive power, just as the state often exerts its influence through the agency of powerful corporations. The movement to abolish privacy is twin-horned. Privacy advocates who focus exclusively on one of those horns will find themselves gored on the other.

But was the Newton a failure? The timing of Newton’s entry into the handheld market was akin to the timing of the Apple II into the desktop market. It was a market-creating, disruptive product targeted at an undefinable set of users whose needs were unknown to either themselves or Apple. On that basis, Newton’s sales should have been a pleasant surprise to Apple’s executives: It outsold the Apple II in its first two years by a factor of more than three to one. But while selling 43,000 units was viewed as an IPO-qualifying triumph in the smaller Apple of 1979, selling 140,000 Newtons was viewed as a failure in the giant Apple of 1994.

system,” he explained to Time. “We can take full responsibility for the user experience. We can do things that the other guys can’t do.” Apple’s first integrated foray into the digital hub strategy was video. With FireWire, you could get your video onto your Mac, and with iMovie you could edit it into a masterpiece. Then what? You’d want to burn some DVDs so you and your friends could watch it on a TV. “So we spent a lot of time working with the drive manufacturers to get a consumer drive that could burn a DVD,” he said. “We were the first to ever ship that.” As usual Jobs focused on making the product as simple as possible for the user,

Jobs’s intensity was also evident in his ability to focus. He would set priorities, aim his laser attention on them, and filter out distractions. If something engaged him—the user interface for the original Macintosh, the design of the iPod and iPhone, getting music companies into the iTunes Store—he was relentless. But if he did not want to deal with something—a legal annoyance, a business issue, his cancer diagnosis, a family tug—he would resolutely ignore it. That focus allowed him to say no. He got Apple back on track by cutting all except a few core products. He made devices simpler by eliminating buttons, software simpler by eliminating features, and interfaces simpler by eliminating options.

Microsoft’s success represented an aesthetic flaw in the way the universe worked. “The only problem with Microsoft is they just have no taste, they have absolutely no taste,” he later said. “I don’t mean that in a small way. I mean that in a big way, in the sense that they don’t think of original ideas and they don’t bring much culture into their product.”116 The primary reason for Microsoft’s success was that it was willing and eager to license its operating system to any hardware maker. Apple, by contrast, opted for an integrated approach. Its hardware came only with its software and vice versa. Jobs was an artist, a perfectionist, and thus a control freak who wanted to be in charge of the user experience from beginning to end. Apple’s approach led to more beautiful products, a higher profit margin, and a more sublime user experience. Microsoft’s approach led to a wider choice of hardware.

If you want to make money at some point, remember this, because this is one of the reasons startups win. Big companies want to decrease the standard deviation of design outcomes because they want to avoid disasters. But when you damp oscillations, you lose the high points as well as the low. This is not a problem for big companies, because they don't win by making great products. Big companies win by sucking less than other big companies.” - “The place to fight design wars is in new markets, where no one has yet managed to establish any fortifications. That's where you can win big by taking the bold approach to design, and having the same people both design and implement the product. Microsoft themselves did this at the start. So did Apple. And Hewlett- Packard. I suspect almost every successful startup has.” - “Great software, likewise, requires a fanatical devotion to beauty. If you look inside good software, you find that parts no one is ever supposed to see are beautiful too.” - “The right way to collaborate, I think, is to divide projects into sharply defined modules, each with a definite owner, and with interfaces between them that are as carefully designed and, if possible, as articulated as programming languages. Like painting, most software is intended for a human audience. And so hackers, like painters, must have empathy to do really great work. You have to be able to see things from the user's point of view.” - “It turns out that looking at things from other people's point of view is practically the secret of success.” - “Part of what software has to do is explain itself. So to write good software you have to understand how little users understand. They're going to walk up to the software with no preparation, and it had better do what they guess it will, because they're not going to read the manual.

Google and Apple offer the image of a pseudo-commons to Internet users. That image recalls Nick Dyer-Whiteford's claim that, in light of the structural failures of neoliberal policies, capital could "turn to a 'Plan B', in which limited versions of commons, pollution trading schemes, community development and open-source and file-sharing practices are introduced as subordinate aspects of a capitalist economy, where voluntary cooperation subsidizes profit. One can think here of how Web 2.0 re-appropriates many of the innovations of radical digital activists, and converts them into a source of rent." Indeed, with the rise of the trademarked Digital Commons software platform and with the proliferation of university-based digital and media commons (which are typically limited to fee-paying and/or employed university community members), the very concept of the digital commons appears to be one of these reappropriations. But if, as part of what James Boyle describes as the "Second Closure Movement," this very rhetorical move signals the temporary defeats of the after-globalization and radical hacker movements that claimed the language of the commons, perhaps the advocacy for ownership of digital wares (or at least a form of unalienable, absolute possession, whether individual or communal) would provide a strategic ballast against the proprietary control of large swathes of information by apparently benevolent corporations and institutions. While still dangling in mid-air, the information commodity's consumption might thereby be placed more solidly on common ground.

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By contrast, Apple Pay and Google Wallet have tread lightly in this arena. They theoretically offer greater convenience to users, but they haven’t been willing to bribe users into discovering that method for themselves. Reluctance on the part of U.S. tech giants is understandable: subsidies eat into quarterly revenue, and attempts to “buy users” are usually frowned on by Silicon Valley’s innovation purists.

Bruce Horn: I thought that computers would be hugely flexible and we could be able to do everything and it would be the most mind-blowing experience ever. And instead we froze all of our thinking. We froze all the software and made it kind of industrial and mass-marketed. Computing went in the wrong direction: Computing went to the direction of commercialism and cookie-cutter. Jaron Lanier: My whole field has created shit. And it’s like we’ve thrust all of humanity into this endless life of tedium, and it’s not how it was supposed to be. The way we’ve designed the tools requires that people comply totally with an infinite number of arbitrary actions. We really have turned humanity into lab rats that are trained to run mazes. I really think on just the most fundamental level we are approaching digital technology in the wrong way. Andy van Dam: Ask yourself, what have we got today? We’ve got Microsoft Word and we’ve got PowerPoint and we’ve got Illustrator and we’ve got Photoshop. There’s more functionality and, for my taste, an easier-to-understand user interface than what we had before. But they don’t work together. They don’t play nice together. And most of the time, what you’ve got is an import/export capability, based on bitmaps: the lowest common denominator—dead bits, in effect. What I’m still looking for is a reintegration of these various components so that we can go back to the future and have that broad vision at our fingertips. I don’t see how we are going to get there, frankly. Live bits—where everything interoperates—we’ve lost that. Bruce Horn: We’re waiting for the right thing to happen to have the same type of mind-blowing experience that we were able to show the Apple people at PARC. There’s some work being done, but it’s very tough. And, yeah, I feel somewhat responsible. On the other hand, if somebody like Alan Kay couldn’t make it happen, how can I make it happen?

The familiar if sad tale of Apple Computer illustrates this crucial concept. Apple has suffered of late because positive feedback has fueled the competing system offered by Microsoft and Intel. As Wintel’s share of the personal computer market grew, users found the Wintel system more and more attractive. Success begat more success, which is the essence of positive feedback. With Apple’s share continuing to decline, many computer users now worry that the Apple Macintosh will shortly become the Sony Beta of computers, orphaned and doomed to a slow death as support from software producers gradually fades away. This worry is cutting into Apple’s sales, making it a potentially self-fulfilling forecast. Failure breeds failure: this, too, is the essence of positive feedback.

In the case of Apple, there is effectively a network of Macintosh users, which is in danger of falling below critical mass.

Americans are accustomed to an instantaneous feedback loop, and have little patience with a product that doesn’t come to life immediately. An American tourist traveling abroad who switches on a Bang & Olufsen television in his hotel room will likely perceive the set as broken, not realizing it takes roughly seven seconds to turn on. Apple is one company that has solved this issue smartly. When a consumer powers on an iPhone, the silvery Apple logo appears, alerting users that the phone is on. Knowing the phone works, a consumer is happy to wait an additional 30 seconds before the phone is officially ready for use. I have no doubt that Apple engineers could tinker with the insides to make the phone turn on more quickly. Instead, they’ve designed the iPhone to give users both instant gratification and a sense of anticipation, which they interpret to mean that the phone is both technologically sophisticated and high quality

How fast can we get people through the register? Well, let’s get rid of the register. Why do we even need a register?” (Apple retail employees take credit cards or iTunes account numbers from anywhere on the floor.) In the words of Rob Schoeben, the former product marketing executive: “Apple obsesses over the user experience, not revenue optimization.

More sophisticated methods exist, of course. A potentially more powerful method is collaborative filtering. It gathers data about what users have bought in the past and uses AI to predict what people are likely to buy in the future. These methods can use both explicit information, like a customer’s ratings of the options, and implicit information, like whether or not they finished a specific program on Netflix. Most famously, perhaps, collaborative filtering is used by Amazon in generating “People who bought this also bought . . .” listings. Collaborative filtering requires a large set of past user behavior to make predictions. This is the heart of suggestions made by Apple Music, “who to follow” suggestions on Twitter, and matches on Tinder. Yes, Tinder apparently changes the people it will show you based on your swipes. Swiping right will change who you see in the future. It’s important to realize that, in its pure form, collaborative filtering doesn’t use in-depth information about the options themselves. When Apple Music recommends a tune, it knows nothing about the song’s tempo, beat, lyrics, or instrumentation. It simply knows that people who are like you like that song too.

Mobile phone apps – 2012 Before building a QuickBooks app, I decided to try iPhone and Android apps. This my first experience entering an app store. Unfortunately, the apps failed for many reasons: User base too small: There are millions of mobile phone users, but that does not translate to millions of users for your software. There is a subsection of a user base that matters most. Too many competitors: The app stores were oversaturated. There were over a million apps, literally. There was no way to stand out from the rest. My apps became me-too apps. The Intuit app stores were just getting started at the time and there were far fewer apps. Difficult to gain entry: I tried game development, and good games are expensive to produce. You need a soundtrack and graphic designers. The cost of making an exceptional game is outrageous. There was no way I could afford it. Failed to show value: Since most apps were free, users refused to pay me. I tried in-app purchases, but most users were uninterested. I learned that businesses were a better target because I could show them how to save time. Failed to solve a problem: In my eyes, app stores were the only way to advertise my game. I failed to tap into my potential user base. Businesses have a clear data entry problem that I can fix, but consumers were too difficult to sell to. Technical issues: I submitted one app to the Windows Marketplace, and it failed 15 times. I had to wait for Apple to publish updates to my app weekly. I learned that my next plugin must receive updates in a few hours, instead of a few days. Users simply cannot wait this long for an issue to get fixed. This was the most important lesson that I learned, and it inspired me to make a cloud-based system. Different devices:

the wider world’s reaction has often been disdainful. In 1984, the first Mac’s graphical user interface was widely derided as “a toy.” Bill Gates was mystified that people wanted colored computers. Critics initially called on Apple to open up the iPod. Without a strong belief in his vision, a passion for what he was doing, it would be much harder for Jobs to resist the critics.

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.

extended to the borders of the new flat front crystal display, and the Digital Crown and side button are now elevated on the case.

There’s no better case study showing how connectivity and computing power will turn old products into digitized machines than Tesla, Elon Musk’s auto company. Tesla’s cult following and soaring stock price have attracted plenty of attention, but what’s less noticed is that Tesla is also a leading chip designer. The company hired star semiconductor designers like Jim Keller to build a chip specialized for its automated driving needs, which is fabricated using leading-edge technology. As early as 2014, some analysts were noting that Tesla cars “resemble a smartphone.” The company has been often compared to Apple, which also designs its own semiconductors. Like Apple’s products, Tesla’s finely tuned user experience and its seemingly effortless integration of advanced computing into a twentieth-century product—a car—are only possible because of custom-designed chips. Cars have incorporated simple chips since the 1970s. However, the spread of electric vehicles, which require specialized semiconductors to manage the power supply, coupled with increased demand for autonomous driving features foretells that the number and cost of chips in a typical car will increase substantially.

Apple takes as much as 30 per cent of the revenue developers get from paid apps, in-app-purchases and subscriptions. That’s no chump change: users of Apple devices spent $72 billion on the App Store in 2020, with almost $22 billion of that going to the iPhone maker, according to consultancy Sensor Tower.

The fact that French toys literally prefigure the world of adult functions obviously cannot but prepare the child to accept them all, by constituting for him, even before he can think about it, the alibi of a Nature which has at all times created soldiers, postmen and Vespas. Toys here reveal the list of all the things the adult does not find unusual: war, bureaucracy, ugliness, Martians, etc. It is not so much, in fact, the imitation which is the sign of an abdication, as its literalness: French toys are like a Jivaro head, in which one recognizes, shrunken to the size of an apple, the wrinkles and hair of an adult. There exist, for instance, dolls which urinate; they have an oesophagus, one gives them a bottle, they wet their nappies; soon, no doubt, milk will turn to water in their stomachs. This is meant to prepare the little girl for the causality of house-keeping, to 'condition' her to her future role as mother. However, faced with this world of faithful and complicated objects, the child can only identify himself as owner, as user, never as creator; he does not invent the world, he uses it: there are, prepared for him, actions without adventure, without wonder, without joy. He is turned into a little stay-at-home householder who does not even have to invent the mainsprings of adult causality; they are supplied to him readymade: he has only to help himself, he is never allowed to discover anything from start to finish.

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a bitten apple can be eaten afresh only when it is eaten before it gets oxidised; in the same sense, innovation has to be continued in time before it loses its traction with the users;

the iMac sold well to first-time computer buyers and unhappy PC users, with an impressive 32 percent of the sales going to first-timers and another 12 percent to “switchers.

Bizarre and Surprising Insights—Consumer Behavior Insight Organization Suggested Explanation7 Guys literally drool over sports cars. Male college student subjects produce measurably more saliva when presented with images of sports cars or money. Northwestern University Kellogg School of Management Consumer impulses are physiological cousins of hunger. If you buy diapers, you are more likely to also buy beer. A pharmacy chain found this across 90 days of evening shopping across dozens of outlets (urban myth to some, but based on reported results). Osco Drug Daddy needs a beer. Dolls and candy bars. Sixty percent of customers who buy a Barbie doll buy one of three types of candy bars. Walmart Kids come along for errands. Pop-Tarts before a hurricane. Prehurricane, Strawberry Pop-Tart sales increased about sevenfold. Walmart In preparation before an act of nature, people stock up on comfort or nonperishable foods. Staplers reveal hires. The purchase of a stapler often accompanies the purchase of paper, waste baskets, scissors, paper clips, folders, and so on. A large retailer Stapler purchases are often a part of a complete office kit for a new employee. Higher crime, more Uber rides. In San Francisco, the areas with the most prostitution, alcohol, theft, and burglary are most positively correlated with Uber trips. Uber “We hypothesized that crime should be a proxy for nonresidential population.…Uber riders are not causing more crime. Right, guys?” Mac users book more expensive hotels. Orbitz users on an Apple Mac spend up to 30 percent more than Windows users when booking a hotel reservation. Orbitz applies this insight, altering displayed options according to your operating system. Orbitz Macs are often more expensive than Windows computers, so Mac users may on average have greater financial resources. Your inclination to buy varies by time of day. For retail websites, the peak is 8:00 PM; for dating, late at night; for finance, around 1:00 PM; for travel, just after 10:00 AM. This is not the amount of website traffic, but the propensity to buy of those who are already on the website. Survey of websites The impetus to complete certain kinds of transactions is higher during certain times of day. Your e-mail address reveals your level of commitment. Customers who register for a free account with an Earthlink.com e-mail address are almost five times more likely to convert to a paid, premium-level membership than those with a Hotmail.com e-mail address. An online dating website Disclosing permanent or primary e-mail accounts reveals a longer-term intention. Banner ads affect you more than you think. Although you may feel you've learned to ignore them, people who see a merchant's banner ad are 61 percent more likely to subsequently perform a related search, and this drives a 249 percent increase in clicks on the merchant's paid textual ads in the search results. Yahoo! Advertising exerts a subconscious effect. Companies win by not prompting customers to think. Contacting actively engaged customers can backfire—direct mailing financial service customers who have already opened several accounts decreases the chances they will open more accounts (more details in Chapter 7).

A few months later, Procter & Gamble tried something similar. Its CEO, A. G. Lafley, had begun talking about the need for P&G to get closer to its consumers. After reading about this, Facebook ad salesman Colleran did one of his masterful cold calls to find out if P&G was targeting any of its brands at the college market. It turned out that while P&G’s Crest White Strips teeth-whitening product had never been aimed specifically at college students, company data showed that the strips sold particularly well at Wal-Marts located near campuses. Colleran and P&G marketers came up with a Facebook campaign called Smile State. Much as Chase and Apple had done, P&G created a sponsored group on Facebook for Crest White Strips. It advertised the Smile State group only to users who were students at one of twenty large state universities located near Wal-Marts. Any student who joined got tickets to an upcoming college-oriented Matthew McConaughey movie called We Are Marshall. In addition, the schools that enrolled the most members in the Crest White Strips group got a concert organized by Def Jam Records. Over 20,000 people joined. To have 20,000 people explicitly expressing affinity for Crest White Strips using their real name is the kind of thing that gives marketers goose bumps. It was a huge win for P&G and for Facebook.

In fact, Apple pushed so aggressively for AAC that many users wrongly came to believe that the company had invented it, a misconception that would persist for years.

true randomness sometimes produces repetition, but when users heard the same song or songs by the same artist played back-to-back, they believed the shuffling wasn’t random. And so the company made the feature “less random to make it feel more random,” said Apple founder Steve Jobs.12 One

Jan was born in a small town outside of Kiev, Ukraine. He was an only child. His mother was a housewife, his father a construction manager. When Koum was sixteen, he and his mother immigrated to Mountain View, California, mainly to escape the anti-semitic environment of their homeland. Unfortunately, Jan’s father never made the trip. He got stuck in the Ukraine, where he eventually died years later. His mother swept the floors of a grocery store to make ends meet, but she was soon diagnosed with cancer. They barely survived off her disability insurance. It certainly wasn’t the most glamorous childhood, but he made it through. After college, Jan applied to work at Yahoo as an infrastructure engineer. He spent nine years building his skills at Yahoo, and then applied to work at Facebook. Unfortunately, he was rejected. In 2009, Jan bought an iPhone and realized there was an opportunity to build something on top of Apple’s burgeoning mobile platform. He began building an app that could send status updates between devices. It didn’t do very well at first, but then Apple released push notifications. All of the sudden, people started getting pinged when statuses were updated. And then people began pinging back and forth. Jan realized he had inadvertently created a messaging service. The app continued to grow, but Jan kept quiet. He didn’t care about headlines or marketing buzz. He just wanted to build something valuable, and do it well. By early 2011, his app had reached the top twenty in the U.S. app store. Two years later, in 2013, the app had 200 million users. And then it happened: In 2014, Jan’s company, WhatsApp, was acquired by Facebook―the company who had rejected him years earlier―for $19 billion. I’m not telling this story to insinuate that you should go build a billion-dollar company. The remarkable part of the story isn’t the payday, but the relentless hustle Jan demonstrated throughout his entire life. After surviving a tumultuous childhood, he practiced his craft and built iteratively. When had had a product that was working, he stayed quiet, which takes extreme discipline. More often than not, hustling isn’t fast or showy. Most of the time it’s slow and unglamorous―until it’s not. 

it enjoys strong network effects from its content ecosystem: thousands of developers write software for Apple devices because that’s where hundreds of millions of users are, and those users stay on the platform because it’s where the apps are.

suffer from an itchy and dry scalp. Apple cider vinegar is also a great remedy if you suffer from dandruff.  Finally, many users report a stronger head of hair.  Apple cider vinegar will promote a strong and healthy shaft, which will create strong, great-looking hair.

Stronger Shaft   A healthy scalp equals healthy hair.  Apple cider vinegar will cure your weak and brittle hair as your scalp will be able to absorb the nutrients it needs.  This can be done with the recipe below or by ingesting apple cider vinegar daily.  Healthy skin and hair are usually the first two benefits people notice when taking apple cider vinegar.  Often, after a few weeks, users begin to receive compliments about their skin or hair.  Strong, glowing hair all starts with a strong shaft.  The stronger and healthier the shaft, the longer the hair and the healthier it will look.  Often, hair is dull and brittle because the shaft of the hair is thin or damaged.  Apple cider vinegar will restore your shaft and promote healthy hair growth.   Apple Cider Vinegar Hair Recipes   1 part water 1 part apple cider vinegar   Start by rinsing and cleaning your hair with shampoo. Once you are out of the shower, add the mixture to a spray bottle.  Spray your hair and let it sit for 10-15 minutes.  Massage your scalp to make sure the apple cider vinegar is getting down to your skin.  Wash and once again shampoo to make sure you have removed all the apple cider vinegar.

The most vibrant platforms embrace third-party collaboration. The companies behind these platforms seek to foster symbiotic and mutually beneficial relationships with users, customers, partners, vendors, developers, and the community at large.

The news may encourage us to imagine that the roots of a nation's problems have their fundamental origins in criminality at the top and yet, though there is clearly a role for targeting individual rotten apples, there is an equally vital task in directing attention to the colourless yet far larger institutional failures that lie concealed within our political and social arrangements.

While Steve’s gadgets and computers drew the most attention, the software that made them go was every bit as important. Steve always said that Apple’s primary competitive advantage was that it created the whole widget: the finely tuned symbiosis between the hardware and the software together defined a superior user experience. In the PC world, hardware and software technologies came from different companies that didn’t always even get along, including IBM and the PC-clone manufacturers, Microsoft, and Intel.

and it gets its content, similar to Google, from its users. In other words, more than a billion customers labor for Facebook without compensation. By comparison, the big entertainment companies must spend billions to create original content. Netflix is shelling out more than $100 million for each season of The Crown and will spend $6 billion on content in 2017 (50 percent more than either NBC or CBS).26 Yet Facebook competes for our attention, and wins it, with pictures of fourteen-month-old Max curled up with his new Vizsla puppy. This is fascinating to a small audience, maybe two hundred or three hundred friends, but that’s enough. It’s easy for the machine to aggregate, segment, and target.

Many consumers don’t even notice UI, but the ease, elegance, and wit with which Apple users interact with their products is a key bond, hence the importance of Forstall’s specialty.

He overtly thinks about the simplicity of Apple’s design and attention to detail. “We are primarily about building a really pure user experience that is heavily thought through,” said McCue.

Xerox had the Alto; IBM launched the Personal Computer. Xerox had the graphical user interface with mouse, icons, and overlapping windows; Apple and Microsoft launched the Macintosh and Windows. Xerox invented What-You-See-Is-What-You-Get word processing; Microsoft brazenly turned it into Microsoft Word and conquered the office market. Xerox invented the Ethernet; today the battle for market share in the networking hardware industry is between Cisco Systems and 3Com. Even the laser printer is a tainted triumph. Thanks to the five years Xerox dithered in bringing it to market, IBM got there first, introducing its own model in 1975.

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Most Mondays, their visit to Ive would be followed by one to Avie and the team working on Apple’s new operating system, which would eventually be called OS X. The radical new operating system would be the flywheel of all the extraordinary developments that would follow over the next decade, from Apple’s suite of iLife applications, to iOS—the slimmed-down operating system that would give life to the iPhone and iPad—to the entirely new software industry that emerged to produce the millions of apps written for those devices. While Steve’s gadgets and computers drew the most attention, the software that made them go was every bit as important. Steve always said that Apple’s primary competitive advantage was that it created the whole widget: the finely tuned symbiosis between the hardware and the software together defined a superior user experience. In the PC world, hardware and software technologies came from different companies that didn’t always even get along, including IBM and the PC-clone manufacturers, Microsoft, and Intel.

Looking at the turnover and quality of managers in charge of sales and marketing is a good way to gauge how much the company values this part of the business. One important element of this principle is knowing which numbers matter the most to a company’s bottom line. For example, many Software-as-a-Service businesses have a tremendous amount of free users (who cost the business money in server fees). Still, they have a difficult time converting these free users into paying customers. So when reading a company’s annual or quarterly report, focus on figures such as the number of paying customers or average customer purchase value. Rather than relying on misleading numbers like “total users” or “monthly average users.” These are often used by unprofitable companies to make their prospects look more attractive than they are. Another essential element of this principle is that a company’s income is not reliant on a single factor. For example, if a semiconductor manufacturer relies on a contract with Apple for 80% of its revenue, then Apple ending that contract would plunge the economics of that business into disarray. This is

In 1991, when Apple started to talk about the hand-held computing devices called personal digital assistants, or PDAs, a lot of people both inside and outside Intel considered them a “10X” force capable of restructuring the PC industry. PDAs could do to PCs what PCs were doing to mainframes, many said. Not wanting to be blind to this possibility, we made a very substantial external investment and started a major internal effort to ensure that we would participate in any PDA wave in a big way. Then Apple’s Newton came out in 1993 and was promptly criticized for its failings. What does this say about the PDA phenomenon? Is it less of a “10X” force because its first instantiation was disappointing? When you think about it, first versions of most things usually are. Lisa, the first commercial computer with a graphical user interface and the predecessor of the Mac, did not receive good acceptance. Neither did the first version of Windows, which was considered an inferior product for years—DOS with a pretty face, as many called it. Yet graphical user interfaces in general, and Windows in particular, have become “10X” forces shaping the industry.

Part of the process is Apple’s overall corporate strategy: What markets does it target, and how does it target them? Part of it is keeping abreast of new technology developments and being receptive to new ideas, especially outside the company. Part of it is about being creative, and always learning. Part of it is about being flexible, and a willingness to ditch long-held notions. Part of it is about being customer-centric. And a lot of it is trying to find the simplest, most elegant solution through an iterative, generate-and-test design process. Innovation at Apple is largely about shaping technology to the customer’s needs, not trying to force the user to adapt to the technology.

Ive had become interested in the rise of credit cards and meditated on the disconnect between the cheap plastic material and the amount of money people spent with a swipe. He also puzzled over how a merchant could track a purchase instantly, even though a card user had to wait for a mailed paper statement. He imagined a world in which people carried circular medallions the size of a pebble that they would place on a minicomputer at checkout. The glossy black medallion would charge on a device the size of a pocket calculator that displayed transaction information. “He brought a preciousness and a watchmaker’s delicacy to it,” said John Elliott, a Newcastle professor. When Apple released a contactless payment system called Apple Pay decades later, Elliott remembered Ive’s “blue sky” project. “He was twenty years ahead of the game,” he said.

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Just as YouTube started with manual curation, most networked products can start with manual efforts. This means exercising editorial judgment, or allowing users to curate content themselves. The App Store has millions of apps, so when Apple releases a list of “Apps of the Year” in the App Store, it aids discovery for consumers but also inspires app developers to invest in the design and quality of their products. Or platforms can leverage user-generated content, where content is organized by the ever-popular hashtag—one example is Amazon’s wish lists, which are driven primarily by users without editors. Similarly, using implicit data—whether that’s attributes of the content or grouping the originator by their company or college email domain name—can bring people together with data from the network. Twitter uses a hybrid approach—the team analyzes activity on the network to identify trending events, which are then editorialized into stories.

When examined through the lens of Meerkat’s Law and the central framework of this book, it is obvious why the resulting networks generated by big launches are weak. You’d rather have a smaller set of atomic networks that are denser and more engaged than a large number of networks that aren’t there. When a networked product depends on having other people in order to be useful, it’s better to ignore the top-line aggregate numbers. Instead, the quality of the traction can only be seen when you zoom all the way into the perspective of an individual user within the network. Does a new person who joins the product see value based on how many other users are already on it? You might as well ignore the aggregate numbers, and in particular the spike of users that a new product might see in its first days. As Eric Ries describes in his book The Lean Startup, these are “vanity metrics.” The numbers might make you feel good, especially when they are going up, but it doesn’t matter if you have a hundred million users if they are churning out at a high rate, due to a lack of other users engaging. When networks are built bottom-up, they are more likely to be densely interconnected, and thus healthier and more engaged. There are multiple reasons for this: A new product is often incubated within a subcommunity, whether that’s a college campus, San Francisco techies, gamers, or freelancers—as recent tech successes have shown. It will grow within this group before spreading into other verticals, allowing time for its developers to tune features like inviting or sharing, while honing the core value proposition. Once a new networked product is spreading via word of mouth, then each user is likely to know at least one other user already on the network. By the time it reaches the broader consciousness, it will be seen as a phenomenon, and top-down efforts can always be added on to scale a network that’s already big and engaged. If Big Bang Launches work so poorly in general, why do they work for Apple? This type of launch works for Apple because their core offerings can stand alone as premium, high-utility products that generally don’t need to construct new networks to function. At most, they tap into existing networks like email and SMS. Famously, Apple has not succeeded with social offerings like the now-defunct Game Center and Ping. The closest new networked product they’ve launched is arguably the App Store, but even that was initially not in Steve Jobs’s vision for the phone.87 Most important, though, you aren’t Apple. So don’t try to copy them without having their kinds of products.

Curiosity is crucial to success. What worked yesterday is out-of-date today and forgotten tomorrow—replaced by a new tool or technique we haven’t yet heard of. Consider that the telephone took 75 years to reach 50 million users, whereas television was in 50 million households within 13 years, the internet in 4, . . . and Angry Birds in 35 days. In the tech era, the pace is accelerating further: it took Microsoft Office 22 years to reach a billion users, but Gmail only 12, and Facebook 9. Trying to resist this tide of change will drown you. Successful people in the digital age are those who go to work every day, not dreading the next change, but asking, “What if we did it this way?” Adherence to process, or how we’ve always done it, is the Achilles’ heel of big firms and sepsis for careers. Be the gal who comes up with practical and bat-shit crazy ideas worth discussing and trying. Play offense: for every four things you’re asked to do, offer one deliverable or idea that was not asked for.

Overcrowding works in a different way for creators than for viewers. For creators, the problem becomes—how do you stand out? How do you get your videos watched? This is particularly acute for new creators, who face a “rich get richer” phenomenon. Across many categories of networked products, when early users join a network and start producing value, algorithms naturally reward them—and this is a good thing. When they do a good job, perhaps they earn five-star ratings, or they quickly gain lots of followers. Perhaps they get featured, or are ranked highly in popularity lists. This helps consumers find what they want, quickly, but the downside is that the already popular just get more popular. Eventually, the problem becomes, how does a new member of the network break in? If everyone else has millions of followers, or thousands of five-star reviews, it can be hard. Eugene Wei, former CTO of Hulu and noted product thinker, writes about the “Old Money” in the context of social networks, arguing that established networks are harder for new users to break into: Some networks reward those who gain a lot of followers early on with so much added exposure that they continue to gain more followers than other users, regardless of whether they’ve earned it through the quality of their posts. One hypothesis on why social networks tend to lose heat at scale is that this type of old money can’t be cleared out, and new money loses the incentive to play the game. It’s not that the existence of old money or old social capital dooms a social network to inevitable stagnation, but a social network should continue to prioritize distribution for the best content, whatever the definition of quality, regardless of the vintage of user producing it. Otherwise a form of social capital inequality sets in, and in the virtual world, where exit costs are much lower than in the real world, new users can easily leave for a new network where their work is more properly rewarded and where status mobility is higher.75 This is true for social networks and also true for marketplaces, app stores, and other networked products as well. Ratings systems, reviews, followers, advertising systems all reinforce this, giving the most established members of a network dominance over everyone else. High-quality users hogging all of the attention is the good version of the problem, but the bad version is much more problematic: What happens, particularly for social products, when the most controversial and opinionated users are rewarded with positive feedback loops? Or when purveyors of low-quality apps in a developer platform—like the Apple AppStore’s initial proliferation of fart apps—are downloaded by users and ranked highly in charts? Ultimately, these loops need to be broken; otherwise your network may go in a direction you don’t want.

User experience is how users feel and think when they interact with, use, and remember the solutions that meet their needs. These solutions can be hardware- or software-based. User experience depends on both the physical senses (touch, hearing, smell, taste, and vision) and the mental states (energy, efficiency, interference, completion, and emotion) of the users.

Color, the principle: First, you should think about how color affects the psychology of the user. Then, you should think about the role of color in the product. Finally, you should think about the color itself. According to the theory of static and dynamic, usually colors like static world, the new colors like dynamic elements, new colors will instantly become the focus while ordinary colors will not attract too much attention. For product design, you should aim for a continuous and integrated appearance of the elements, or avoid any interruptions or breaks. This includes the colors of the front panel, frame, and rear panel. For color itself, there are different levels of colors based on how often humans see them. The highest level color is the air, which is the most seen color by humans, but humans cannot make it. The closest thing to air is glass, which can create a 3D color effect by superimposing on other colors. This is a miracle that breaks the common sense that the eye can only see 2D colors. The second level color is the sky, which is the second most seen color by humans, especially during the day. The third level color is the human body, which is the most familiar color to humans, such as skin and hair. The fourth level color is nature, which is the second most familiar color to humans. The fifth level color is artificial. Monochrome is the cornerstone, and the color combination (the same color system can reduce the sense of abruptness, the near color secondary) and the gradient aesthetics are stricter. The more the style focuses on minimalism, the more it favors monochrome.

Apple is losing its grip on the IOS and iPhone ecosystems. One example is the bad experience of IOS killing the background apps, which shows that Apple is not planning and controlling the IOS ecosystem well. Another example is the sudden increase in RAM for different iPhone models, which creates a lot of fragmentation and confusion for developers and users. It also makes the iPhone less efficient and reliable. I remember the days when the iPhone had 1G RAM, and it could keep the app content even after restarting. But those days are gone and it's not over yet.

Interaction area The principle: The design should consider the finger size and the habitual areas of the user. The design should make it easy and comfortable for the user to interact with the device.

Ads Management The principle: There should be no ads in the system and built-in apps that affect the user experience. The ads of third-party apps should not exceed the user’s tolerance limit, and try to maintain a consistent visual effect with the content in the app, and should not be presented in a separate form.

A platform may also choose to innovate when features provided by third parties become a large part of the overall value enjoyed by users. As we saw in chapter 7, this helps to explain Apple’s 2012 introduction of Apple Maps in response to the enormous popularity of Google Maps.

In 2012, Google Maps had become the premier provider of mapping services and location data for mobile phone users. It was a popular feature on Apple’s iPhone. However, with more consumer activity moving to mobile devices and becoming increasingly integrated with location data, Apple realized that Google Maps was becoming a significant threat to the long-term profitability of its mobile platform. There was a real possibility that Google could make its mapping technology into a separate platform, offering valuable customer connections and geographic data to merchants, and siphoning this potential revenue source away from Apple. Apple’s decision to create its own mapping app to compete with Google Maps made sound strategic sense—despite the fact that the initial service was so poorly designed that it caused Apple significant public embarrassment. The new app misclassified nurseries as airports and cities as hospitals, suggested driving routes that passed over open water (your car had better float!), and even stranded unwary travelers in an Australian desert a full seventy kilometers from the town they expected to find there. iPhone users erupted in howls of protest, the media had a field day lampooning Apple’s misstep, and CEO Tim Cook had to issue a public apology.19 Apple accepted the bad publicity, likely reasoning that it could quickly improve its mapping service to an acceptable quality level—and this is essentially what has happened. The iPhone platform is no longer dependent on Google for mapping technology, and Apple has control over the mapping application as a source of significant value.

His dad was Jef Raskin, the man who invented the Apple Macintosh for Steve Jobs, and he built it around one core principle: that the user’s attention is sacred. The job of technology, Jef believed, was to lift people up and make it possible to achieve their higher goals. He taught his son: “What is technology for? Why do we even make technology? We make technology because it takes the parts of us that are most human and it extends them. That’s what a paintbrush is. That’s what a cello is. That’s what language is. These are technologies that extend some part of us. Technology is not about making us superhuman. It’s about making us extra-human.

Figure

The more people there are on one side of the network, the more valuable the platform is to the other side. For example, the more app developers there are making apps for Apple’s iOS platform, the more valuable the platform is to consumers. This relationship goes both ways, so that the more consumers there are on a platform, the more valuable that platform is to producers (the app developers). This type of network effect is called an indirect network effect or cross-side network effect, where the value delivered to each user in one user group (say, consumers) increases as the number of users in another, interdependent user group (producers) grows.

A platform is a raised, level surface on which people or things can stand. A platform business works in just that way: it allows users—producers and consumers of goods, services, and content— to create, communicate, and consume value through the platform. Amazon, Apple’s App Store, eBay, Airbnb, Facebook, LinkedIn, Pay- Pal, YouTube, Uber, Wikipedia, Instagram, etsy, Twitter, Snapchat, Hotel Tonight, Salesforce, Kickstarter, and Alibaba are all platform businesses. While these businesses have done many impressive things, the most relevant to us is that they have created an oppor- tunity for anyone, even those with limited means, to share their thoughts, ideas, creativity, and creations with millions of people at a low cost. Today, if you create a product or have an idea, you can sell that product or share that idea with a substantial audience quickly and cost-effectively through these platforms. Not only that, but the platforms arguably give more power to individuals than corporations since they’re so efficient at identifying ulterior motives or lack of authenticity. The communities on these platforms, many of whom are millennials, know when they’re being sold to rather than shared with, and quickly eliminate those users from their con- sciousness (a/k/a their social media feeds). Now, smaller organizations and less prosperous individuals are able to sell to or share their products, services, or content with more targeted demographics of people. That’s exactly what the modern consumer desires: a more personalized, connected experience. For example, a Brooklyn handbag designer can sell her handbags to a select group of customers through one of the multitude of fashion or shopping platforms and create an ongoing dialogue with her audience through a communication platform such as Instagram. Or an independent filmmaker from Los Angeles can create a short film using a GoPro and the editing software on their Mac and then instantly share it with countless people through one of a dozen video platforms and get direct feedback. Or an author can write a book and sell it directly from his or her website and social channels to anyone who’s excited about it. The reaction to standardization and globalization has been enabled by these platforms. Customers can get what they want, from whomever they want, whenever they want it. It’s a revised and personalized version of globalization that allows us to maintain and enhance the cultural connections that create the meaning we crave in our lives.

Over time, I came to the conclusion that designing an excellent user experience was as much about preventing negative experiences as facilitating positive ones.

Tencent had partnered with leading mobile carriers like China Mobile to receive 40 percent of the SMS charges that QQ users racked up when they sent messages to mobile phones. A new service could hurt Tencent’s financial bottom line and at the same time risk its relationships with some of China’s most powerful companies. It was the sort of decision that publicly traded, ten-thousand-person companies typically refer to a committee for further study. But Ma wasn’t a typical corporate executive. That very night, he gave Zhang the go-ahead to pursue the idea. Zhang put together a ten-person team, including seven engineers, to build and launch the new product. In just two months, Zhang’s small team had built a mobile-first social messaging network with a clean, minimalistic design that was the polar opposite of QQ. Ma named the service Weixin, which means “micromessage” in Mandarin. Outside of China, the service became known as WeChat. What came next was staggering. Just sixteen months after Zhang’s fateful late-night message to Ma, WeChat celebrated its one hundred millionth user. Six months after that, it had grown to two hundred million users. Four months after that, it had grown to three hundred million users. Pony Ma’s late-night bet paid off handsomely. Tencent reported 2016 revenues of $ 22 billion, up 48 percent from the previous year, and up nearly 700 percent since 2010, the year before WeChat’s launch. By early 2018, Tencent reached a market capitalization of over $ 500 billion, making it one of the world’s most valuable companies, and WeChat was one of the most widely and intensively used services in the world. Fast Company called WeChat “China’s app for everything,” and the Financial Times reported that more than half of its users spend over ninety minutes a day using the app. To put WeChat in an American context, it’s as if one single service combined the functions of Facebook, WhatsApp, Facebook Messenger, Venmo, Grubhub, Amazon, Uber, Apple Pay, Gmail, and even Slack into a single megaservice. You can use WeChat to do run-of-the-mill things like texting and calling people, participating in social media, and reading articles, but you can also book a taxi, buy movie tickets, make doctors’ appointments, send money to friends, play games, pay your rent, order dinner for the night, plus so much more. All from a single app on your smartphone.

Every time users of Apple’s iTunes add a song to their collection, they are strengthening ties to the service. The songs on a playlist are an example of how content increases the value of a service. Neither iTunes nor their users created the songs, yet the more content users add, the more valuable the music library becomes

Today, on the day I’m writing this introduction, hundreds of millions of people will use these Apple products, and if you count the browsers on Windows and Google Android that use code based on the Safari browser I helped develop, then the number of daily users runs to well over a billion, perhaps it’s closer to two. Yet we never thought about such big numbers. We were too busy focusing on small details.

Yet, as Heidegger helps us to see, the true danger posed by companies like Facebook and Google is not that they violate our privacy, but that they redefine what we think “privacy” means. Facebook and Google—not to mention tech companies like Apple, Amazon, Tinder, and Twitter—all defend their privacy-endangering practices by simply pointing out that they are only giving users what users want.

Let’s look at that Apple example again and rewrite the example in the order Apple actually communicates. This time, the example starts with WHY. Everything we do, we believe in challenging the status quo. We believe in thinking differently. The way we challenge the status quo is by making our products beautifully designed, simple to use and user-friendly. And we happen to make great computers. Wanna buy one? It’s a completely different message. It actually feels different from the first one. We’re much more eager to buy a computer from Apple after reading the second version—

By 2008, storm clouds were gathering over Microsoft. PC shipments, the financial lifeblood of Microsoft, had leveled off. Meanwhile sales of Apple and Google smartphones and tablets were on the rise, producing growing revenues from search and online advertising that Microsoft hadn’t matched. Meanwhile, Amazon had quietly launched Amazon Web Services (AWS), establishing itself for years to come as a leader in the lucrative, rapidly growing cloud services business. The logic behind the advent of the cloud was simple and compelling. The PC Revolution of the 1980s, led by Microsoft, Intel, Apple, and others, had made computing accessible to homes and offices around the world. The 1990s had ushered in the client/server era to meet the needs of millions of users who wanted to share data over networks rather than on floppy disks. But the cost of maintaining servers in an ever-growing sea of data—and the advent of businesses like Amazon, Office 365, Google, and Facebook—simply outpaced the ability for servers to keep up. The emergence of cloud services fundamentally shifted the economics of computing. It standardized and pooled computing resources and automated maintenance tasks once done manually. It allowed for elastic scaling up or down on a self-service, pay-as-you-go basis. Cloud providers invested in enormous data ​centers around the world and then rented them out at a lower cost per user. This was the Cloud Revolution. Amazon was one of the first to cash in with AWS. They figured out early on that the same cloud infrastructure they used to sell books, movies, and other retail items could be rented, like a time-share, to other businesses and startups at a much lower price than it would take for each company to build its own cloud. By June 2008, Amazon already had 180,000 developers building applications and services for their cloud platform. Microsoft did not yet have a commercially viable cloud platform. All of this spelled trouble for Microsoft. Even before the Great Recession of 2008, our stock had begun a downward slide. In a long-planned move, Bill Gates left the company that year to focus on the Bill & Melinda Gates Foundation. But others were leaving, too. Among them, Kevin Johnson, president of the Windows and online services business, announced he would leave to become CEO of Juniper Networks. In their letter to shareholders that year, Bill and Steve Ballmer noted that Ray Ozzie, creator of Lotus Notes, had been named the company’s new Chief Software Architect (Bill’s old title), reflecting the fact that a new generation of leaders was stepping up in areas like online advertising and search. There was no mention of the cloud in that year’s shareholder letter, but, to his credit, Steve had a game plan and a wider view of the playing field.

While it was possible, then, for Apple to make up ground in software very quickly, doing so in the world of data was substantially more challenging even for a company of its resources. There are no shortcuts, as data simply cannot be generated overnight. There are only two means of producing it: collecting it over time, or acquiring an entity who has done so. Unlike software, then, which is a thin shield against would-be market entrants, organizations that amass a large body of data from which to extract value for themselves or their customers are well protected against even the largest market incumbents. Every software organization today should be aggregating data, because customers are demanding it. Consider, for example, online media services such as Netflix or Pandora. Their ability to improve their recommendations to customers for movies or music depends in turn on the data they’ve collected from other customers. This data, over time, becomes far more difficult to compete with than mere software. Which likely explains why Netflix is willing to open source the majority of its software portfolio but guards the API access to its user data closely.

Steve initially resisted the idea, for reasons that were both strategic and emotional. Steve had always wanted Macs to have distinctive features that consumers couldn’t get from a Windows PC. Also, he still wanted to see if the iPod itself might begin to drive up Mac sales—that part of Lack’s prediction had not yet come true. But Ruby, Schiller, and others argued that iTunes for Windows coupled with the iPod would give hundreds of millions of PC users a means to taste for themselves Apple’s more inviting approach to personal computing. The idea that the iPod could be a diminutive Trojan Horse to help Apple finally begin to win back some market share for Macintosh personal computers really intrigued Steve. After all, the team reminded him, wasn’t he the one who was always saying that if the company could pick up just a few points of PC market share, revenues would soar?

When Scott asked me to cut a feature like the suggestion bar, it didn’t make me grumpy, even though I had been working hard on the feature for over a year. As Apple product developers, we were always happy to improve our user experiences by lightening the load of our software.**

The reason that Apple is able to create products like the iPad is because we’ve always tried to be at the intersection of technology and liberal arts, to be able to get the best of both, to make extremely advanced products from a technology point of view, but also have them be intuitive, easy to use, fun to use, so that they really fit the users. The users don’t have to come to them, they come to the user.2

Over time, I came to the conclusion that designing an excellent user experience was as much about preventing negative experiences as facilitating positive ones. It couldn’t be an even trade-off either. Great products make people happy almost all the time and do the opposite rarely, if at all.

You can subscribe to a Volvo XC40 (their compact SUV) for $600 a month, and that includes concierge services like packages delivered straight to your vehicle. Everything is covered except the gas: insurance, maintenance, wear-and-tear replacements, 24/7 customer care. Volvo’s CEO expects that one out of every five of the company’s vehicles will be delivered via subscription by 2023, and the company is working on its own ridesharing network that will allow users to loan or rent its cars for profit. Jim Nichols, product and technology communications manager at Volvo USA, told Consumer Reports, “Our research has shown that many customers are looking for a hassle-free, fixed-rate experience that mirrors the many subscriptions they currently have, such as Netflix or Apple’s iPhone [upgrade] program.

These arguments further distracted RIM from recalibrating its strategy and from monitoring the fringes of society, even as it was becoming clear that the iPhone was ushering in a new era of mobile connectivity. Rather than quickly adapting its beloved product for a new generation of mobile users, RIM continued tweaking and incrementally improving its existing BlackBerrys and their operating systems. But that first iPhone was in many ways a red herring. Apple swiftly made improvements to the phone and the operating system. Soon it became clear that the iPhone was never intended to compete against the BlackBerry. Apple had an entirely different vision for the future of smartphones—it saw the trend in single devices for all of life, not just business—and it would leapfrog RIM as a result.

2021年本科学位约克大学毕业证办理‘咨询’202 661 4433办理York毕业证办约克大学文凭办约克大学学历办York学历办York文凭办York学位证书办加拿大约克大学2021年本科毕业证。 klSJSJKSHJKSSJKSJKSSJKSHKSJ jkSJKSJKSJKSHJKSHSKJS klJSLKJSLKSJLKS I won’t go into all the ways the last Apple TV remote was bad, but mainly so I don’t trigger PTSD. If you’ve used it, you know. The order may vary in terms of what you hate the most versus my own list, but we all have the same list. And new users, well, may you never know such pain. And you won’t because I’m happy to report that the new Apple TV remote is not just good, it’s very good. I’m not sure it replaces my old TiVo “peanut” remote as my most favorite remote of all time, but it may eventually with usage. Certainly in terms of clean design it tops that remote. And pretty much any other remote I can think of. Except for maybe the first and second Apple TV remotes, both of which had fewer buttons. Most remotes are comically complex and look like they were designed by children. Not this one.

Remember Apple’s old slogan: “There’s an app for that.” Apple knew early on that a large part of the value of the iPhone wasn’t just in the phone itself but rather in the new experiences that it enabled developers to build for users. The GitHub equivalent would be “There’s a repository for that.” If you’re looking for any kind of software project, chances are you’ll find it on GitHub.

Android phones poll 1,200 data points a day from their users and send that back to the Google data-mining mother ship. iOS phones pull 200, and Apple bends over backward to emphasize that data is not being used for profiteering. “The truth is,” Apple CEO Tim Cook said in 2018, “we could make a ton of money if we monetized our customers, if we made our customers our product. We’ve elected not to do that.

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Before the iPod, iPhone, and iPad, Apple’s products had been primarily purchased by Apple fans, designers, and other discerning users willing to pay a big premium. Now Apple’s products had become mainstream.