Google Was Lax in Killing Failed Projects

(p. 255) Oddly, whereas Google had built its data infrastructure to reroute around failure, it had no human infrastructure to deal with failed projects. “We didn’t know which ones they were, because we never paused to ask ourselves that question,” says Pichette. “The people working on that project know it’s failing– as senior management you have to say, ‘Let’s declare failure– let’s get the champagne out and kill this puppy. Then we can put you on stuff that’s really cool and sexy.'” That had always been part of Google’s philosophy, but whether from lack of rigor or just distraction, the company had been lax in actually issuing execution orders. One of the first puppies Pichette helped drown was a virtual-reality-style communications program called Lively.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.

Google Gave YouTube Entrepreneurial Autonomy

(p. 250) But after the purchase [of YouTube], Google did something very smart. Almost as if acknowledging that overattention from the top had hobbled Google’s original video effort, the company made a conscious decision not to integrate YouTube. “They were edgy and small, and we were getting big,” says Drummond. “We didn’t want to screw them up.” (Google was also smarting from its $ 900 million acquisition of dMarc Broadcasting, a company dealing in radio advertising, which had not gone well. “They had tried more of a top-down approach with dMarc and considered that a disaster,” says Hurley.) YouTube would keep its brand and even stay in the building it had recently occupied in San Bruno, a former headquarters of the Gap.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.
(Note: bracketed words added.)

Google Used Auction Model to Allocate Internal Resources

(p. 202) Google’s chief economist, Hal Varian, would later explain how it worked when new data centers open: “We’ll build a nice new data center and say, ‘Hey, Google Docs, would you move your machines over here?’ And they say, ‘Sure, next month.’ Because nobody wants to go through the disruption of shifting. So I suggested we run an auction similar to what airlines do when they oversell a plane– they keep offering bigger vouchers until enough customers are willing to give up their seats. In our case, we offer more machines in exchange for moving. One group might do it for fifty new ones, another for a hundred, and another won’t move unless we give them three hundred. So we give them to the lowest bidder– they get their extra capacity, and we get computation shifted to the new data center.”
Google eventually devised an elaborate auction model for divvying up existing resources. In a paper entitled “Using a Market Economy to Provision Computer Resources Across Planet-wide Clusters,” a group of Google engineers, along with a Stanford professor of management science and engineering, reported a project that essentially made Google’s
computational resources into a silicon Wall Street. Supply and demand worked here not to fix stock prices but to place a value on resources. The system not only allowed projects at Google to get fair access to storage and computational cycles but identified shortages in computers, storage, and bandwidth. Instead of the Vickery auction used by AdWords, the system used an “ascending clock auction.” At the beginning, the current price of each resource would be displayed, and Google engineers in competing projects could claim them at that price. The ideal outcome would ensure sufficient resources for everyone, in which case the auction stopped. Otherwise, the automated auctioneer would raise the prices for the next “time slot,” and (p. 203) remaining competitors for those resources had to decide whether to bid higher. And so on, until the engineers not willing to stake their budgets on the most contested resources dropped out. “Hence,” write the paper’s authors, “the auction allows users to ‘discover’ prices in which all users pay/ receive payment in proportion to uniform resource prices.”

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.

Goldman I.P.O. Led to Pressure to Grow

WhatHappenedToGoldmanSachsBK2013-10-22.jpg

Source of book image: http://s.wsj.net/public/resources/images/OB-ZF094_bkrvgo_GV_20131008133334.jpg

(p. B8) Steven G. Mandis, a Ph.D. candidate in sociology at Columbia University, takes a measured, academic approach to the question in a new book, “What Happened to Goldman Sachs,” an examination of the bank’s evolution from an elite private partnership to a vast public corporation — and the effects of that transformation on its culture.

. . .

Mr. Mandis said that the two popular explanations for what might have caused a shift in Goldman’s culture — its 1999 initial public offering and subsequent focus on proprietary trading — were only part of the explanation. Instead, Mr. Mandis deploys a sociological theory called “organizational drift” to explain the company’s evolution.
The essence of his argument is that Goldman came under a variety of pressures that resulted in slow, incremental changes to the firm’s culture and business practices, resulting in the place being much different from what it was in 1979, when the bank’s former co-head, John Whitehead, wrote its much-vaunted business principles.
These changes included the shift to a public company structure, a move that limited Goldman executives’ personal exposure to risk and shifted it to shareholders. The I.P.O. also put pressure on the bank to grow, causing trading to become a more dominant focus. And Goldman’s rapid growth led to more potential for conflicts of interest and not putting clients’ interests first, Mr. Mandis says.

For the full review, see:
PETER LATTMAN. “An Ex-Trader, Now a Sociologist, Looks at the Changes in Goldman.” The New York Times (Tues., October 1, 2013): B8.
(Note: ellipsis added.)
(Note: the online version of the review has the date SEPTEMBER 30, 2013.)

The book under review is:
Mandis, Steven G. What Happened to Goldman Sachs: An Insider’s Story of Organizational Drift and Its Unintended Consequences. Boston, MA: Harvard Business School Publishing, 2013.

MandisStevenAuthorGoldmanBook2013-10-22.jpg

“Steven G. Mandis is the author of “What Happened to Goldman Sachs.”” Source of caption and photo: online version of the NYT article quoted and cited above.

Push the Flywheel, in Business and Life

Jim Collins makes wonderful use of the flywheel analogy in his Good to Great book. His point is that many achievements in business require long, gradual work to build to a major achievement that finally gets noticed by the business press and the general public. The business press often assumes that the success is overnight, when it is in fact long-building.

(p. C14) Flywheels – weighted wheels used for absorbing, storing and releasing energy – get used in everything from pottery wheels to car engines. Lately, they have showed up in corporate spin.

“Our more than 19,000 store global footprint, our fast-growing CPG presence and our best-in-class digital, card, loyalty and mobile capabilities are creating a ‘flywheel’ effect elevating the relevancy of all things Starbucks, and driving profitability,” CEO Howard Schultz said in a statement accompanying quarterly earnings last month.
“So we have the flywheel spinning in the right direction because it is spinning one way and letting us generate these margins, contribution margins,” said Overstock.com CEO Patrick Byrne last month. “And so now we can give some of that back and that makes it easier to get it spinning faster.”
“We are at the one-mile market (sic) in a marathon,” commented Symantec CEO Steve Bennett in an earnings call with analysts last week, “and the flywheel is just starting to spin.”

For the full story, see:
JUSTIN LAHART. “Overheard.” The Wall Street Journal (Weds., Aug 6, 2013): C14.
(Note: the online version of the story has the date Aug 6, 2013, and had the title “Ride a Painted Pony, Let the Spinning Wheel Fly.” The print version did not identify an author. The versions were slightly different in two or three places–when different, the version quoted above follows the print version.)

The Collins book, mentioned above, is:
Collins, Jim. Good to Great: Why Some Companies Make the Leap… And Others Don’t. New York: HarperCollins Publishers, Inc., 2001.

Google’s Bathrooms Showed Montessori Discipline

(p. 124) You could even see the company’s work/ play paradox in its bathrooms. In some of Google’s loos, even the toilets were toys: high-tech Japanese units with heated seats, cleansing water jets, and a control panel that looked as though it could run a space shuttle. But on the side of the stall–and, for men, at an eye-level wall placement at the urinals–was the work side of Google, a sheet of paper with a small lesson in improved coding. A typical “Testing on the Toilet” instructional dealt with the intricacies of load testing or C + + microbenchmarking. Not a second was wasted in fulfilling Google’s lofty–and work-intensive–mission.
It’s almost as if Larry and Sergey were thinking of Maria Montessori’s claim “Discipline must come through liberty…. We do not consider an individual disciplined only when he has been rendered as artificially silent as a mute and as immovable as a paralytic. He is an individual annihilated, not disciplined. We call an individual disciplined when he is master of himself.” (p. 125) Just as it was crucial to Montessori that nothing a teacher does destroy a child’s creative innocence, Brin and Page felt that Google’s leaders should not annihilate an engineer’s impulse to change the world by coding up some kind of moon shot.
“We designed Google,” Urs Hölzle says, “to be the kind of place where the kind of people we wanted to work here would work for free.”

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.
(Note: ellipsis in original.)

Office Design that Forces Interaction, Causes Exhaustion, Stress, High Errors and Low Productivity

(p. D1) The big push in office design is forcing co-workers to interact more. Cubicle walls are lower, office doors are no more and communal cafes and snack bars abound.
Like most grand social experiments, though, open-plan offices bring an unintended downside: pesky, productivity-sapping interruptions.
The most common disruptions come from co-workers, as tempting as it is to blame email or instant messaging. Face-to-face interruptions account for one-third more intrusions than email or phone calls, which employees feel freer to defer or ignore, according to a 2011 study in the journal Organization Studies.
Other research published earlier this year links frequent interruptions to higher rates of exhaustion, stress-induced ailments and a doubling of error rates.

For the full story, see:
SUE SHELLENBARGER. “WORK & FAMILY; The Biggest Distraction in the Office Is Sitting Next to You.” The Wall Street Journal (Weds., September 11, 2013): D1 & D3.
(Note: the online version of the story has the date September 10, 2013, and has the title “WORK & FAMILY; The Biggest Office Interruptions Are… …not what most people think. And even a 2-second disruption can lead to a doubling of errors.”)

Among the academic papers referred to in the article are:
Wajcman, Judy, and Emily Rose. “Constant Connectivity: Rethinking Interruptions at Work.” Organization Studies 32, no. 7 (July 2011): 941-61.
Altmann, Erik M., J. Gregory Trafton, and David Z. Hambrick. “Momentary Interruptions Can Derail the Train of Thought.” Journal of Experimental Psychology: General (Jan. 7, 2013): 1-12.

Messy Offices Encourage Creativity

(p. 12) Forty-eight research subjects came individually to our laboratory, . . . assigned to messy or tidy rooms.   . . . , we told subjects to imagine that a Ping-Pong ball factory needed to think of new uses for Ping-Pong balls, and to write down as many ideas as they could. We had independent judges rate the subjects’ answers for degree of creativity, which can be done reliably.   . . .
When we analyzed the responses, we found that the subjects in both types of rooms came up with about the same number of ideas, which meant they put about the same effort into the task. Nonetheless, the messy room subjects were more creative, as we expected. Not only were their ideas 28 percent more creative on average, but when we analyzed the ideas that judges scored as “highly creative,” we found a remarkable boost from being in the messy room — these subjects came up with almost five times the number of highly creative responses as did their tidy-room counterparts.
. . .
Our findings have practical implications. There is, for instance, a minimalist design trend taking hold in contemporary office spaces: out of favor are private walled-in offices — and even private cubicles. Today’s office environments often involve desk sharing and have minimal “footprints” (smaller office space per worker), which means less room to make a mess.
At the same time, the working world is abuzz about cultivating innovation and creativity, endeavors that our findings suggest might be hampered by the minimalist movement. While cleaning up certainly has its benefits, clean spaces might be too conventional to let inspiration flow.

For the full commentary, see:
KATHLEEN D. VOHS. “GRAY MATTER; It’s Not ‘Mess.’ It’s Creativity.” The New York Times, SundayReview Section (Sun., September 15, 2013): 12.
(Note: ellipses added.)
(Note: the online version of the commentary has the date September 13, 2013.)

The main academic paper referred to in the commentary is:
Vohs, Kathleen D., Joseph P. Redden, and Ryan Rahinel. “Physical Order Produces Healthy Choices, Generosity, and Conventionality, Whereas Disorder Produces Creativity.” Psychological Science 24, no. 9 (Sept. 2013): 1860-67.

To Save Lego, CEO Fired Almost a Third of Workers

BrickByBrickBK2013-09-02.jpg

Source of book image: online version of the WSJ review quoted and cited below.

(p. A15) Only 10 years ago, Lego was posting record losses; retailers were backlogged with unsold Lego toys; and it was unclear whether Lego would survive as an independent company. An internal review discovered that 94% of the sets in its product line were unprofitable. The turnaround story that followed is well told by Wharton professor David Robertson in “Brick by Brick.”
. . .
Upon coming to power, Mr. Knudstorp cut 30% of Lego’s product portfolio, including many of its newer offerings. To stave off financial doom, he also sold the company’s headquarters building and moved into simpler accommodations–and, more painfully, let go almost a third of the workforce.
But how to move beyond the rescue stage and toward growth? Based on input from top retailers and a large customer-research study, Lego executives concluded that even though young fans of buildable toys were a minority, there were enough of them to make a worthwhile market–and their parents were willing to pay premium prices. The company would now organize its innovation efforts around its potentially very profitable core audience.
Mr. Robertson, with the benefit of access to staff at Lego and partner companies, provides unusually detailed reporting of the processes that led to Lego’s current hits (and, inevitably, some misses). Among the hits is the Mindstorms NXT, the second generation of Lego’s robotics set, which hadn’t been updated or advertised since 2001. Mr. Robertson describes how Lego navigated between relying on sophisticated users to determine the product’s design and relying on its own expertise in the creation of building experiences.

For the full review, see:
DAVID A. PRICE. “BOOKSHELF; The House That Lego Built; Lego balked at licensing warlike ‘Star Wars’ toys. But then anthropological research convinced company executives that kids like to compete.” The Wall Street Journal (Tues., July 23, 2013): A15.
(Note: ellipsis added.)
(Note: the online version of the review has the date July 22, 2013.)

The book under review, is:
Robertson, David. Brick by Brick: How Lego Rewrote the Rules of Innovation and Conquered the Global Toy Industry. New York: Crown Business, 2013.

Why IT-Savy Companies Are More Profitable

WeillPeterMIT2013-08-10.jpg

Dr. Peter Weill, Chair of the Center for Information Systems Research at the MIT Sloan School of Management. Source of caption information and photo: online version of the WSJ article quoted and cited below.

(p. R2) DR. WEILL: The IT-savvy companies are 21% more profitable than non-IT-savvy companies. And the profitability shows up in two ways. One is that IT-savvy companies have identified the best way to run their core day-to-day processes. Think about UPS or Southwest Airlines or Amazon: They run those core processes flawlessly, 24 hours a day.

The second thing is that IT-savvy companies are faster to market with new products and services that are add-ons, because their innovations are so much easier to integrate than in a company with siloed technology architecture, where you have to glue together everything and test it and make sure that it all works. We call that the agility paradox–the companies that have more standardized and digitized business processes are faster to market and get more revenue from new products.
Those are the two sources of their greater profitability: lower costs for running existing business processes, and faster innovation.

For the full interview, see:
Martha E. Mangelsdorf, interviewer. “EXECUTIVE BRIEFING; Getting an Edge From IT; Companies need to think strategically about their tech investments.” The Wall Street Journal (Mon., November 30, 2009): R2.
(Note: bold in original.)

Yahoo Execs Complained that Google Did Yahoo Searches too Well

(p. 45) Even though Google never announced when it refreshed its index, there would invariably be a slight rise in queries around the world soon after the change was implemented. It was as if the global subconscious realized that there were fresher results available.
The response of Yahoo’s users to the Google technology, though, was probably more conscious. They noticed that search was better and used it more. “It increased traffic by, like, 50 percent in two months,” Manber recalls of the switch to Google. But the only comment he got from Yahoo executives was complaints that people were searching too much and they would have to pay higher fees to Google.
But the money Google received for providing search was not the biggest benefit. Even more valuable was that it now had access to many more users and much more data. It would be data that took Google search to the next level. The search behavior of users, captured and encapsulated in the logs that could be analyzed and mined, would make Google the ultimate learning machine.

Source:
Levy, Steven. In the Plex: How Google Thinks, Works, and Shapes Our Lives. New York: Simon & Schuster, 2011.