Brad Stone - Zitate und Weisheiten

Bezos is a micromanager with a limitless spring of new ideas, and he reacts harshly to efforts that don’t meet his rigorous standards.

opinions of others. He is an avid problem solver, a man who has a chess grand master’s view of the competitive landscape, and he applies the focus of an obsessive-compulsive to pleasing customers and providing services like free shipping.

idiosyncratic. PowerPoint decks or slide presentations are never used in meetings. Instead, employees are required to write six-page narratives laying out their points in prose, because Bezos believes doing so fosters critical thinking. For each new product, they craft their documents in the style of a press release. The goal is to frame a proposed initiative in the way a customer might hear about it for the first time. Each meeting begins with everyone silently reading the document, and discussion commences afterward—just like the productive-thinking exercise in the principal’s office at River Oaks Elementary.

“Amazon isn’t happening to the book business,” he likes to say to authors and journalists. “The future is happening to the book business.”)

“We are genuinely customer-centric, we are genuinely long-term oriented and we genuinely like to invent. Most companies are not those things. They are focused on the competitor, rather than the customer. They want to work on things that will pay dividends in two or three years, and if they don’t work in two or three years they will move on to something else. And they prefer to be close-followers rather than inventors, because it’s safer. So if you want to capture the truth about Amazon, that is why we are different. Very few companies have all of those three elements.”

The narrative fallacy, Bezos explained, was a term coined by Nassim Nicholas Taleb in his 2007 book The Black Swan to describe how humans are biologically inclined to turn complex realities into soothing but oversimplified stories. Taleb argued that the limitations of the human brain resulted in our species’ tendency to squeeze unrelated facts and events into cause-and-effect equations and then convert them into easily understandable narratives. These stories, Taleb wrote, shield humanity from the true randomness of the world, the chaos of human experience, and, to some extent, the unnerving element of luck that plays into all successes and failures.

the way to avoid the narrative fallacy was to favor experimentation and clinical knowledge over storytelling and memory.

He was disciplined and precise, constantly recording ideas in a notebook he carried with him, as if they might float out of his mind if he didn’t jot them down. He quickly abandoned old notions and embraced new ones when better options presented themselves. He already exhibited the same boyish excitement and conversation-stopping laugh that the world would later come to know. Bezos thought analytically about everything, including social situations.

he was “the most introspective guy I ever met. He was very methodical about everything in his life.”

Members of the firm delighted in asking these recruits random questions, such as “How many fax machines are in the United States?” The intent was to see how candidates tried to solve difficult problems. After the interviews, everyone who had participated in the hiring process gathered and expressed one of four opinions about each individual: strong no hire; inclined not to hire; inclined to hire; or strong hire. One holdout could sink an applicant.

“the cash from Kleiner Perkins hit the place like a dose of entrepreneurial steroids, making Jeff more determined than ever.”

Employees soon learned of a new motto: Get Big Fast. The bigger the company got, Bezos explained, the lower the prices it could exact from Ingram and Baker and Taylor, the book wholesalers, and the more distribution capacity it could afford. And the quicker the company grew, the more territory it could capture in what was becoming the race to establish new brands on the digital frontier. Bezos preached urgency: the company that got the lead now would likely keep it, and it could then use that lead to build a superior service for customers.

So Bezos suggested that the personalization team develop a much simpler system, one that made recommendations based on books that customers had already bought. Eric Benson took about two weeks to construct a preliminary version that grouped together customers who had similar purchasing histories and then found books that appealed to the people in each group. That feature, called Similarities, immediately yielded a noticeable uptick in sales and allowed Amazon to point customers toward books that they might not otherwise have found. Greg

“Great merchants have never had the opportunity to understand their customers in a truly individualized way,” he said. “E-commerce is going to make that possible.”

Kaphan had taped a fortune-cookie message to the PC monitor on his desk. It read Let no one cause you to alter your code.

Bezos wanted to reinvent everything about marketing, suggesting, for example, that they conduct annual reviews of advertising agencies to make them constantly compete for Amazon’s business.

Bezos began filling out the rest of his senior leadership ranks, building a group that would formally become known as the J Team

With venture capital in the bank, Bezos fixated on taking the company public with an IPO, and he went on a recruiting spree.

“Jeff was always a big believer that disruptive small companies could triumph,”

The company lost hundreds of millions on these investments. “Amazon had to be focused on its own business,” says Tinsley. “Our biggest mistake was thinking we had the bandwidth to work with all these companies.”

Could a Wal-Mart-type story still occur in this day and age? My answer is of course it could happen again. Somewhere out there right now there’s someone—probably hundreds of thousands of someones—with good enough ideas to go all the way. It will be done again, over and over, providing that someone wants it badly enough to do what it takes to get there. It’s all a matter of attitude and the capacity to constantly study and question the management of the business.

The venture capitalists backing eBay asked around and heard that one did not work with Jeff Bezos; one worked for him.

They agreed on five core values and wrote them down on a whiteboard in a conference room: customer obsession, frugality, bias for action, ownership, and high bar for talent. Later Amazon would add a sixth value, innovation.

“Most companies have priority lists of forty-five good ideas and triage is easy,” Galli says. “At Amazon there were a hundred and fifty good ideas all the time and Jeff was capable of developing a new one every day.”

But Galli was also making some important contributions. He turned category leaders like Harrison Miller and Chris Payne into general managers who had control over their own profit-and-loss statements and their costs and profit margins.

She cleaned out the inventory of Pokémon products on the brand-new ToysRUs.com website and had everything shipped to Fernley, exploiting a rival’s free-shipping promotion. “Because they were so new to the e-commerce space that year, they really did not have the tools to alert them to us wiping out their inventory until it was too late,” Morris says.

system of polynomial equations. A customer might place an order for a half a dozen products, and the company’s software would quickly examine factors like the address of the customer, the location of the merchandise in the FCs, and the cutoff times for shipping at the various facilities around the country. Then it would take all those variables and calculate both the fastest and the least expensive way to ship the items.

Like a lot of other technology companies at the time, Amazon

Like a lot of other technology companies at the time, Amazon got an education in the wisdom of moving to a simpler and more flexible technology infrastructure, called service-oriented architecture. In this kind of framework, every feature and service is treated as an independent piece and each can easily be updated or replaced without breaking the whole.

Applying his experience from Walmart, Raman pushed to build systems that finally realized Bezos’s vision of Amazon as a company with data at its heart. His groups created automated tools that allowed buyers to order merchandise based on dozens of variables such as seasonal trends, past purchasing behaviors, and how many customers were searching for a particular product at certain times. Raman’s teams also improved the software for pricing bots, which were automated programs that crawled the Web, spied on competitors’ prices, and then adjusted Amazon’s prices accordingly, ensuring that Bezos’s adamant demand that the company always match the lowest price anywhere, offline or online, would be met.

If Amazon wanted to stimulate creativity among its developers, it shouldn’t try to guess what kind of services they might want; such guesses would be based on patterns of the past. Instead, it should be creating primitives—the building blocks of computing—and then getting out of the way. In other words, it needed to break its infrastructure down into the smallest, simplest atomic components and allow developers to freely access them with as much flexibility as possible. As Bezos proclaimed at the time, according to numerous employees: “Developers are alchemists and our job is to do everything we can to get them to do their alchemy.”

For Bezos, having an accomplished assistant on hand to discuss important matters with and ensure that people follow up on certain tasks is another way to extend his reach.

The idea was to build software and harness the Internet to coordinate groups of people around the world to work on problems that computers weren’t very good at solving. For example, a computer system might have difficulty examining a collection of photos of domestic pets and reliably selecting the ones that depicted cats or dogs. But humans could do that easily. The Cambrian Ventures executives hypothesized that they could build an online service to coordinate low-wage workers around the world and then sell access to this workforce to financial firms and other large companies. In 2001, they filed for a patent for the idea and called it a “Hybrid machine/human computing arrangement.”10

The idea was to build software and harness the Internet to coordinate groups of people around the world to work on problems that computers weren’t very good at solving. For example, a computer system might have difficulty examining a collection of photos of domestic pets and reliably selecting the ones that depicted cats or dogs. But humans could do that easily. The Cambrian Ventures executives hypothesized that they could build an online service to coordinate low-wage workers around the world and then sell access to this workforce to financial firms and other large companies. In 2001, they filed for a patent for the idea and called it a “Hybrid machine/human computing arrangement.”10 The world would later come to know this idea, and embrace it, as crowd-sourcing.

Just as in Amazon’s early days, when automated personalization replaced editorial, machines, not people hiding inside them, would drive Amazon’s long-awaited big breakthrough.

business. “It is far better to cannibalize yourself than have someone else do it,” said Diego Piacentini in a speech at Stanford’s Graduate School of Business a few years later. “We didn’t want to be Kodak.” The reference was to the century-old photography giant whose engineers had invented digital cameras in the 1970s but whose profit margins were so healthy that its executives couldn’t bear to risk it all on an unproven venture in a less profitable frontier.

The Innovator’s Dilemma, by Harvard professor Clayton Christensen. Christensen wrote that great companies fail not because they want to avoid disruptive change but because they are reluctant to embrace promising new markets that might undermine their traditional businesses and that do not appear to satisfy their short-term growth requirements. Sears, for example, failed to move from department stores to discount retailing; IBM couldn’t shift from mainframe to minicomputers. The companies that solved the innovator’s dilemma, Christensen wrote, succeeded when they “set up autonomous organizations charged with building new and independent businesses around the disruptive technology.”9

The Pentagram designers, both British born, began by studying the actual physics of reading—the physical aspects of the pastime, such as how readers turn pages and hold books in their hands. They forced themselves to read on existing e-readers, like the Sony Libre and the old Rocketbook, and on PDAs like the iPaq from Compaq and Palm’s Treo. They brought in focus groups, conducted phone interviews, and even went up to Seattle to talk to Bezos himself, trying to deconstruct a process that for many hundreds of years people had taken for granted. “We were pushing for the subconscious qualities that made it feel like you are reading a book,” says Hobbs. One of the primary conclusions from their research was that a good book disappears in the reader’s hands. Bezos later called this the top design objective. “Kindle also had to get out of the way and disappear so that

The Pentagram designers, both British born, began by studying the actual physics of reading—the physical aspects of the pastime, such as how readers turn pages and hold books in their hands. They forced themselves to read on existing e-readers, like the Sony Libre and the old Rocketbook, and on PDAs like the iPaq from Compaq and Palm’s Treo. They brought in focus groups, conducted phone interviews, and even went up to Seattle to talk to Bezos himself, trying to deconstruct a process that for many hundreds of years people had taken for granted. “We were pushing for the subconscious qualities that made it feel like you are reading a book,” says Hobbs. One of the primary conclusions from their research was that a good book disappears in the reader’s hands. Bezos later called this the top design objective. “Kindle also had to get out of the way and disappear so that you could enter the author’s world,” he said.10

which required making the bookstore accessible on a PC. Bezos pushed back. “Here’s my scenario, I’m going to the airport. I need a book to read. I want to enter it into the device and download it right there from my car.” “But you can’t do that,” Hobbs replied. “I’ll decide what I can do,” Bezos said. “I’ll figure this out and it is not going to be a business model you understand. You are the designers, I want you to design this and I’ll think about the business model.”

Amazon had an easy way to demonstrate its market power. When a publisher did not capitulate and the company shut off the recommendation algorithms for its books, the publisher’s sales usually fell by as much as 40 percent.

twin gods of efficiency and selection.

Every product, shelving unit, forklift, roller cart, and employee badge has a bar code, and invisible algorithms calculate the most efficient paths for workers through the facility.

“Jeff does a couple of things better than anyone I’ve ever worked for,” Dalzell says. “He embraces the truth. A lot of people talk about the truth, but they don’t engage their decision-making around the best truth at the time.

Jeff Blackburn, Amazon’s chief of business development, said that Amazon’s bruises from the 1990s helped to create a “building culture” there. Every major company faces decisions over whether it should build or buy new capabilities. “Jeff almost always prefers to build it,” Blackburn says. Bezos had absorbed the lessons of the business bible Good to Great, whose author, Jim Collins, counseled companies to acquire other firms only when they had fully mastered their virtuous circles, and then “as an accelerator of flywheel momentum, not a creator of it.”

There is a clandestine group inside Amazon with a name seemingly drawn from a James Bond film: Competitive Intelligence. The group, which since 2007 has operated within the finance department under longtime executives Tim Stone and Jason Warnick, buys large volumes of products from competitors and measures the quality and speed of their services. Its mandate is to investigate whether any rival is doing a better job than Amazon and then present the data to a committee that usually includes Bezos, Jeff Wilke, and Diego Piacentini, who ensure that the company addresses any emerging threat and catches up quickly.

Amazon’s booming marketplace is a primary source of tension between Amazon and other companies. Over the holiday months in 2012, 39 percent of products sold on Amazon were brokered over its third-party marketplace, up from 36 percent the year before. The company said that over two million third-party sellers worldwide used Amazon Marketplace and that they sold 40 percent more products in 2012 than in 2011.11 The Marketplace business is a profitable one for the company, since it takes a flat 6 to 15 percent commission on each sale and does not bear the expense of buying and holding the inventory.

Amazon’s own employees have compared third-party selling on the site to heroin addiction—sellers get a sudden euphoric rush and a lingering high as sales explode, then progress to addiction and self-destruction when Amazon starts gutting the sellers’ margins and undercutting them on price. Sellers “know they should not be taking the heroin, but they cannot stop taking the heroin,” says Kerry Morris, the former Amazon buyer. “They push and bitch and complain and threaten until they finally see they have to cut themselves off.”

Amazon’s direct-marketing tool was decentralized, and category managers could generate e-mail campaigns to customers who had looked at certain product categories but did not make purchases. Such e-mails tended to tip vacillating shoppers into buying and were responsible for hundreds of millions of dollars in Amazon’s annual sales. In

E-mail marketing for certain categories such as health and personal care was terminated altogether. The company also decided to build a central filtering tool to ensure that category managers could no longer promote sensitive products, so matters of etiquette were not subject to personal taste. E-mail marketing lived to fight another day.

The story highlighted one of the contradictions of life inside Amazon. Long past the era of using the editorial judgment of employees to drive changes to the website, the company relies on metrics to make almost every important decision, such as what features to introduce or kill. Yet random customer anecdotes, the opposite of cold, hard data, also carry tremendous weight and can change Amazon policy. If one customer has a bad experience, Bezos often assumes it reflects a larger problem and escalates the resolution of the matter inside his company with a question mark.

Bezos abhors what he calls “social cohesion,” the natural impulse to seek consensus. He’d rather his minions battled it out in arguments backed by numbers and passion, and he has codified this approach in one of Amazon’s fourteen leadership principles—the company’s highly prized values that are often discussed and inculcated into new hires.2

“The symbol is important for a couple of reasons. If [humans] think long term, we can accomplish things that we wouldn’t otherwise accomplish,” Bezos said. “Time horizons matter, they matter a lot. The other thing I would point out is that we humans are getting awfully sophisticated in technological ways and have a lot of potential to be very dangerous to ourselves. It seems to me that we, as a species, have to start thinking longer term.

“If you look at why Amazon is so different than almost any other company that started early on the Internet, it’s because Jeff approached it from the very beginning with that long-term vision,” Hillis continues. “It was a multidecade project. The notion that he can accomplish a huge amount with a larger time frame, if he is steady about it, is fundamentally his philosophy.”

“We don’t have a single big advantage,” he once told an old adversary, publisher Tim O’Reilly, back when they were arguing over Amazon protecting its patented 1-Click ordering method from rivals like Barnes & Noble. “So we have