xerox | Human-Centered Change and Innovation

GUEST POST from Greg Satell

Mehdi Hasan’s brutal takedown of Matt Taibbi was almost painful to watch. Taibbi, a longtime muckraking journalist of some renown, was invited by Elon Musk to review internal communications that came to be known as the Twitter Files and made big headlines with accusations regarding government censorship of social media.

Yet as Hasan quickly revealed, Taibbi got basic facts wrong, either not understanding what he was looking at, doing sloppy work or just plainly being disingenuous. What Taibbi was reporting as censorship was, in fact, a normal, deliberative process for flagging problematic content, most of which was not taken down.

He looked foolish, but I could feel his pain. In both of my books, I had similarly foolish errors. The difference was that I sent out sections to be fact-checked by experts and people with first-hand knowledge of events before I published. The truth is that it’s not easy to get facts straight. It takes hard work and humility to get things right. We need to be careful.

A Stupid Mistake

Some of the most famous business stories we hear are simply not accurate. Gurus and pundits love to tell you that after inventing digital photography Kodak ignored the market. Nothing could be further from the truth. In fact, its EasyShare line of cameras were top sellers. It also made big investments in quality printing for digital photos. The problem was that it made most of its money on developing film, a business that completely disappeared.

Another popular fable is that Xerox failed to commercialize the technology developed at its Palo Alto Research Center (PARC), when in fact the laser printer developed there saved the company. What also conveniently gets left out is that Steve Jobs was able to get access to the company’s technology to build the Macintosh because Xerox had invested in Apple and then profited handsomely from that investment.

But my favorite mistold myth is that of Blockbuster, which supposedly ignored Netflix until it was too late. As Gina Keating, who covered the story for years at Reuters, explains in her book Netflixed, the video giant moved relatively quickly and came up with a successful strategy, but the CEO, John Antioco, left after a fight with investor Carl Icahn and the strategy was reversed.

Yet that’s not exactly how I told the story. For years I reported that Antioco was fired. I even wrote it up that way in my book Cascades until I contacted the former CEO to fact-check it. He was incredibly generous with his time, corrected me and then gave me additional insights that improved the book.

To this day, I don’t know exactly why I made the mistake. In fact, as soon as he pointed it out I knew I was wrong. Somehow the notion that he was fired got stuck in my head and, with no one to correct me, it just stayed there. We like to think that we remember things as they happened, but unfortunately our brains don’t work that way.

Why We Get Fooled

We tend to imagine that our minds are some sort of machines, recording what we see and hear, then storing those experiences away to be retrieved at a later time, but that’s not how our brains work at all. Humans have a need to build narratives. We like things to fit into neat patterns and fill in the gaps in our knowledge so that everything makes sense.

Psychologists often point to a halo effect, the tendency for an impression created in one area to influence opinion in another. For example, when someone is physically attractive, we tend to infer other good qualities and when a company is successful, we tend to think other good things about it.

The truth is that our thinking is riddled with subtle yet predictable biases. We are apt to be influenced not by the most rigorous information, but what we can most readily access. We make confounding errors that confuse correlation with causality and then look for information that confirms our judgments while discounting evidence to the contrary.

I’m sure that both Matt Taibbi and I fell into a number of these pitfalls. We observed a set of facts, perceived a pattern, built a narrative and then began filling in gaps with things that we thought we knew. As we looked for more evidence, we seized on what bolstered the stories we were telling ourselves, while ignoring contrary facts.

The difference, of course, is that I went and checked with a primary source, who immediately pointed out my error and, as soon as he did, it broke the spell. I immediately remembered reading in Keating’s book that he resigned and agreed to stay on for six months while a new CEO was being hired. Our brains do weird things.

How Our Errors Perpetuate

In addition to our own cognitive biases, there are a number of external factors that conspire to perpetuate our beliefs. The first is that we tend to embed ourselves in networks that have similar experiences and perspectives that we do. Scientific evidence shows that we conform to the views around us and that effect extends out to three degrees of relationships.

Once we find our tribe, we tend to view outsiders suspiciously and are less likely to scrutinize allies. In a study of adults that were randomly assigned to “leopards” and “tigers,” fMRI studies noted hostility to out-group members. Research from MIT suggests that when we are around people we expect to agree with us, we don’t check facts closely and are more likely to share false information.

In David McRraney’s new book, How to Change a Mind, he points out that people who are able to leave cults or reject long-held conspiracy theories first build alternative social networks. Our associations form an important part of our identity, so we are loath to change our opinions that signal inclusion into our tribe. There are deep evolutionary forces that drive us to be stalwart citizens of the communities we join.

Taibbi was, for years, a respected investigative journalist at Rolling Stone magazine. There, he had editors and fact checkers to answer to. Now, as an independent journalist, he has only the networks that he chooses to give him feedback and, being human like all of us, he subtly conforms to a set of dispositions and perspectives.

I probably fell prey to similar influences. As someone who researches innovation, I spend a lot of time with people who regard Netflix as a hero and Blockbuster as something of a bumbler. That probably affected how I perceived Antioco’s departure from the company. We all have blind spots and fall prey to the operational glitches in our brains. No one is immune.

Learning How To Not Fool Ourselves

In one of my favorite essays the physicist Richard Feynman wrote, “The first principle is that you must not fool yourself — and you are the easiest person to fool. So you have to be very careful about that,” He goes on further to say that simply being honest isn’t enough, you also need to “bend over backwards” to provide information so that others may prove you wrong.

So the first step is to be hyper-vigilant and aware that your brain has a tendency to fool you. It will quickly grasp on the most readily available data and detect patterns that may or may not be there. Then it will seek out other evidence that confirms those initial hunches while disregarding contrary evidence.

This is especially true of smart, accomplished people. Those who have been right in the past, who have proved the doubters wrong, are going to be less likely to see the warning signs. In many cases, they will even see opposition to their views as evidence they are on the right track. There’s a sucker born every minute and they’re usually the ones who think that they’re playing it smart.

Checking ourselves isn’t nearly enough, we need to actively seek out other views and perspectives. Some of this can be done with formal processes such as pre-mortems and red teams, but a lot of it is just acknowledging that we have blind spots, building the habit of reaching out to others and improving our listening skills.

Perhaps most of all, we need to have a sense of humility. It’s far too easy to be impressed with ourselves and far too difficult to see how we’re being led astray. There is often a negative correlation between our level of certainty and the likelihood of us being wrong. We all need to make an effort to believe less of what we think.

— Article courtesy of the Digital Tonto blog
— Image credit: 1 of 1,050+ FREE quotes for your meetings & presentations at http://misterinnovation.com

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Four Hidden Secrets of Innovation

GUEST POST from Greg Satell

Every enterprise needs to innovate. It doesn’t matter whether you are a profit-seeking business, a nonprofit organization or a government entity, the simple truth is that every business model fails eventually, because things change over time. We have to manage not for stability, but for disruption or face irrelevance.

There is no shortage of advice for how to go about it. In fact, there is far too much advice. Design thinkers will tell you to focus on the end user, but Harvard’s Clayton Christensen says that listening too much to customers is how good business fail. Then there’s open innovation, lean startups and on and on it goes.

The truth is that there is no one path to innovation. Everybody has to find their own way. Just because someone had success with one strategy, doesn’t mean that it’s right for the problem you need to solve. So the best advice is to gather as many tools for your toolbox as you can. Here are four things about innovation you rarely hear, but are crucially important.

1. Your Success Often Works Against You

For the most part, managers aren’t responsible for innovation, but as the name implies, to manage operations. That involves hiring and empowering strong employees, optimizing practices and processes and reducing errors and mistakes. You’re generally not trying to build a better mousetrap, you are trying to run things smoothly and efficiently.

It’s easy for someone to stand up on stage at a conference and paint operational managers as dimwits with their heads in the sand, but the truth is that managing a quality operation is a very tough job and requires a lot of talent, dedication and skill. So unless you’ve actually done the job, don’t be too quick to judge.

However, managers do need to realize that there is a fundamental tradeoff between innovation and optimizing operations. Running efficient operations requires standardization and control to yield predictable outcomes. Innovation, on the other hand requires experimentation. You need to try a lot of new things, most of which are going to fail.

That’s why success so often leads to failure. What makes you successful in one competitive environment will likely be a hindrance when things change. So you need to work to find a healthy balance between squeezing everything you can out of the present, while still leaving room to create and build for the future.

2. Don’t Look For A Large Addressable Market, Look For A Hair-On-Fire Use Case

Good operational managers learn to identify large addressable markets. Bigger markets help you scale your business, drive revenues and allow you invest back into operations to create more efficiency. Greater efficiencies lead to fatter profit margins, which allow you to invest even more on improvements, creating a virtuous cycle.

Yet when you are trying something to do something truly new and different, trying to scale too fast can kill your business even before it’s really gotten started. A truly revolutionary product is unpredictable because, by its very nature, it’s not well understood. Charging boldly into the unknown is a sure way to run into unanticipated problems that are expensive to fix at scale.

A better strategy is to identify a hair on fire use case — someone who needs a problem fixed so badly that they are willing to overlook the inevitable glitches. They will help you identify shortcomings early and correct them. Once you get things ironed out, you can begin to scale for more ordinary use cases.

For example, developing a self-driving car is a risky proposition with a dizzying amount of variables you can’t account for. However, a remote mine in Western Australia, where drivers are scarce and traffic nonexistent, is an ideal place to test and improve the technology. In a similar vein, Google Glass failed utterly as a mass product, but is getting a second life as an industrial tool. Sometimes it’s better to build for the few than the many.

3. Start With The Monkey First

When I work with executives, they often have a breakthrough idea they are excited about. They begin to tell me what a great opportunity it is and how they are perfectly positioned to capitalize on it. However, when I begin to dig a little deeper it appears that there is some big barrier to making it happen. When I try to ask about that, they just shut down.

Make no mistake. Innovation isn’t about ideas, it’s about solving problems. The truth is that nobody cares about what ideas you have, they care about the problems you can solve for them. The reason that most people can’t innovate isn’t because they don’t have ideas, but because they lack the perseverance needed to stick with a really tough problem until it’s cracked.

At Google X, the tech giant’s “moonshot factory,” the mantra is #MonkeyFirst. The idea is that if you want to get a monkey to recite Shakespeare on a pedestal, you start by training the monkey, not building the pedestal, because training the monkey is the hard part. Anyone can build a pedestal.

The problem is that most people start with the pedestal, because it’s what they know and by building it, they can show early progress against a timeline. Unfortunately, building a pedestal gets you nowhere. Unless you can actually train the monkey, working on the pedestal is wasted effort.

4. The Next Big Thing Always Starts Out Looking Like Nothing At All

When Alexander Fleming first published his discovery of penicillin, no one really noticed. When Xerox executives first got a look at the Alto — the machine that would become the model for the Macintosh seven years later — they didn’t see what the big deal was. When Jim Allison first showed pharmaceutical executives his idea for cancer immunotherapy, not one would invest in it.

We always think that when we see the next big thing it will be obvious, but the truth is that it always starts out looking like nothing at all. The problem is that when something truly has the power to change the world, the world isn’t ready for it yet. It needs to build advocacy, gain traction among a particular industry or field and combine with other innovations before it can make an impact.

But no one ever tells you that. We are conditioned to think that someone like Steve Jobs or Elon Musk just stands up on stage, announces that the world has changed and everybody just goes along. It never really happens that way because innovation is never a single event. It is a long process of discovery, engineering and transformation that usually takes about 30 years to fully complete.

Don’t worry about people stealing your ideas,” said the computing pioneer Howard Aiken. “If your ideas are any good, you’ll have to ram them down people’s throats” and never were truer words spoken. Great innovators aren’t just people with ideas, they are people who are willing to stick it out, take the shots from people who ridicule them and, eventually, if they are lucky, they really do change the world.

— Article courtesy of the Digital Tonto blog and previously appeared on Inc.com
— Image credits: Pixabay