Tag Archives: genius

Embrace the Genius of the Obvious

Embrace the Genius of the Obvious

GUEST POST from Greg Satell

I’m currently reading Bob Sutton and Huggy Rao’s new book, The Friction Project, which is really a breath of fresh air. I was particularly struck by one passage in the beginning in which they write, “Friction fixers pride themselves in being masters of the obvious. They are mighty skeptical of secret solutions, shocking surprises, and miracle cures.”

It’s a simple truth that humans crave status and taking on an air of sophistication is one way to attain it. We have an urge to inject complexity, to make the case that we see something others don’t. This isn’t a moral failing, but as Will Storr explains in The Status Game, an integral part of how people relate to each other and signal identity.

So the first step toward embracing the genius of the obvious is to recognize that it isn’t something we naturally do. We tend to look for interesting stories involving complex phenomena behind things in our lives, which is why superstitions and conspiracy theories catch on. It takes effort and expertise to filter out complexity and expose the simple core.

Make It Easier For People To Perform And They Will Perform Better

While we like things to be simple, complexity is somewhat unavoidable. Complexity scientist Sam Arbesman’s book, Overcomplicated, explains why. We start out with simple intentions, but then as we try to scale things up and do more, things naturally get more complicated through two processes: Accretion and interaction.

For example, the US constitution is a fairly simple document, but to run a modern society, the legal code has to deal with a wide range of activity, including crimes, contract disputes, family law and many, many other things, which is while the legal code is almost unimaginably large and complex. Take into account the interactions between different jurisdictions and it’s fair to say that no one on earth understands the entire US legal system.

The same thing happens in organizations. You can develop a simple process for, say, getting expenses approved, but you necessarily need to expand it to take into account a variety of different expenses, for different situations and levels of seniority. A junior executive taking a client out to lunch is very different from a more senior executive hiring a contractor. Add in interactions between different departments and functions and things get complicated.

That’s why Sutton and Rao make the seemingly obvious, yet profound, point that we need to actively work to make ourselves accountable for friction by being responsible trustees of others’ time. We need to limit the “smart talk” and “jargon monoxide,” that obscure rather than reveal issues and engage in a “subtraction mindset” in order to actively remove barriers.

It is this last point that I think is the most helpful. Processes accrete over time and, if you don’t remove those that outlive their usefulness, they stay on as zombies that gum up the works. Leaders need to get comfortable with saying, “no.” It’s too easy to enact a new policy or to start a new initiative. We need to do the hard work of figuring out what to remove.

Poor People Have Problems That Cause Them To Miss Work

Managers often apply a procurement mindset to hiring. They determine what the “market rate” is for a particular task, role or set of skills, and then pay accordingly. Just as it doesn’t make sense to pay more for rent or a piece of equipment than you have to, there doesn’t seem to be a good reason to pay more for an employee to do a job than you have to, right?

Not quite. In The Case for Good Jobs MIT’s Zeynep Ton points out that, unlike equipment and real estate, people have lives and those lives affect how they do their jobs. If they can’t afford healthy food, child care, a decent place to live or to be able to cover unplanned expenses, things will go wrong in their lives, which will cause them to miss work.

With more absenteeism, managers need to cover for employees and don’t have time to manage properly. Increased employee turnover results in increased training costs as well as greater burdens on managerial bandwidth. Morale declines along with performance, costing the business even more and, of course, because managers spend so much time plugging holes, nobody has time to fix anything.

Ton’s Good Jobs Institute works with organizations to fix the problem and has seen impressive results. From businesses as diverse as Aetna insurance, PayPal and Quest Diagnostics, raising the pay of financially insecure employees reduced turnover, which allowed the firms to invest in skills, manage more effectively and improve processes.

There is an obvious logic to it all. Poor people don’t make a lot of money, so raising their salaries doesn’t cost very much. In many, if not most, cases the increased productivity more than pays for itself if leaders are able to leverage a more stable, motivated workforce to improve operations and increase competitiveness.

People Resist Change

One of the most obvious principles about any kind of transformational initiative is that any time you ask people to change what they think or what they do, there will be people who won’t like it. Some will work to undermine what you’re trying to achieve in ways that are dishonest, underhanded and deceptive.

We all know this because we’ve all experienced it (and it has also been thoroughly documented in research). But some would have us believe that it doesn’t exist. Some so-called “change management experts” even claim that resistance to change is an illusion—the product of a failure to identify and communicate a value proposition rather than any real hostility to change.

This is so obviously hogwash that it’s hard to take it seriously, but then if you look at popular change management frameworks such as Kotter’s 8 Steps or Prosci’s ADKAR model, they have little or anything to say about overcoming resistance to change. In the rare instances they do discuss resistance they assume it is rational resistance and suggest some version of the information deficit model that we know doesn’t work.

That’s why at the beginning of every change initiative we work on we do a resistance inventory to anticipate who will resist, what form that resistance will take and what strategies can mitigate it. You can’t anticipate everything, but with a little planning, you can develop strategies to overcome even the most irrational, virulent resistance.

Don’t Overlook The Simple Truths

Ockham’s Razor, or the “principle of parsimony,” is often interpreted as another version of the KISS (Keep It Simple Stupid) rule. Yet it is far more profound than that. A far more accurate translation from the original Latin is, “Entities must not be multiplied beyond necessity.” In other words, we should think before we add things that complicate matters.

In modern life we are constantly adding things. William of Ockham was a monk, who led a simple existence. We’re expected to build things and, as we do, principles, rules and procedures accumulate over time and, as a matter of course, multiply unnecessarily. We need to do the hard work of subtraction, taking out things that might have once made sense but don’t anymore.

When I’m writing, I always like to think my readers have a “cognitive budget” that they are willing to spend on a particular blog post, email, article or book chapter. When I edit, I always go through and ask, “is this worth the cognitive budget?” If there’s a doubt, I take it out. I’ve learned to apply the same principle to other facets of my life, to take out what doesn’t need to be there.

That’s the genius of the obvious. Simple truths are rarely left out in the open, but obscured by the flotsam and jetsam of everyday life. It takes work to dig them out and that work requires focus. It doesn’t happen by itself, but takes determination to whittle down to the core, so that the truths we seek can reveal themselves to us.

We all need to hold ourselves accountable. Uncovering the obvious is not a simple thing, but the work of a lifetime.

— Article courtesy of the Digital Tonto blog
— Image credit: Pixabay

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Top 10 Human-Centered Change & Innovation Articles of May 2024

Top 10 Human-Centered Change & Innovation Articles of May 2024Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are May’s ten most popular innovation posts:

  1. Five Lessons from the Apple Car’s Demise — by Robyn Bolton
  2. Six Causes of Employee Burnout — by David Burkus
  3. Learning About Innovation – From a Skateboard? — by John Bessant
  4. Fighting for Innovation in the Trenches — by Geoffrey A. Moore
  5. A Case Study on High Performance Teams — by Stefan Lindegaard
  6. Growth Comes From What You Don’t Have — by Mike Shipulski
  7. Innovation Friction Risks and Pitfalls — by Howard Tiersky
  8. Difference Between Customer Experience Perception and Reality — by Shep Hyken
  9. How Tribalism Can Kill Innovation — by Greg Satell
  10. Preparing the Next Generation for a Post-Digital Age — by Greg Satell

BONUS – Here are five more strong articles published in April that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:

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Why Quiet Geniuses Excel at Breakthroughs

Why Quiet Geniuses Excel at Breakthroughs

GUEST POST from Greg Satell

When you think of breakthrough innovation, someone like Steve Jobs, Jeff Bezos or Elon Musk often comes to mind. Charismatic and often temperamental, people like these seem to have a knack for creating the next big thing and build great businesses on top of them. They change the world in ways that few can.

Yet what often goes unnoticed is that great entrepreneurs build their empires on the discoveries of others. Steve jobs didn’t invent the computer or the mobile phone any more than Jeff Bezos discovered e-commerce or Elon Musk dreamed up electric cars. Those things were created by scientists and engineers that came long before.

In researching my book, Mapping Innovation, I got to know many who truly helped create the future and I found them to be different than most people, but not in a way that you’d expect. While all were smart and hardworking, the most common trait among them was their quiet generosity and that can teach us a lot about how innovation really works.

How Jim Allison Figured it All Out

At least in appearance, Jim Allison is a far cry from how you would normally picture a genius to look like. Often disheveled with a scruffy beard, he kind of mumbles out a slow Texas drawl that belies his amazingly quick mind. Unassuming almost to a fault, when I asked him about his accomplishments he just said, “well, I always did like figuring things out.”

When Jim was finishing up graduate school, scientists had just discovered T-cells and he told me that he was fascinated by how these things could zip around your body and kill things for you, but not actually hurt you. The thing was, nobody had the faintest idea how it all worked. So Jim decided to become an immunologist and devote his life to figuring it all out.

Over the next few decades, he and his colleagues at other labs did indeed do much to figure it out. They found one receptor, called B-7, which acts like an ignition switch that initiates the immune response, another, CD-28, that acts like a gas pedal and revs things up into high gear and a third, called CTLA-4, that puts on the brakes so things don’t spin out of control.

Jim played a part in all of this, but his big breakthrough came from the work of another scientist in his lab, which made him suspect that the problem with cancer wasn’t that our immune system can’t fight it, but that it puts the brakes on too soon. He thought that if he could devise a way to pull those brakes off, we could cure cancer in a new and different way.

As it turned out, Jim was right. Today, cancer immunotherapy has become a major field unto itself and, in October 2018, he won the Nobel Prize for his discovery of it. Yet the truth is that it wasn’t one major breakthrough, but a decades-long process of slowly putting the pieces together that made it all possible.

How Gary Starkweather Went From Blowup To Breakthrough

Gary Starkweather is every bit as quiet and unassuming as Jim Allison. Yet when I talked to him a few years ago, I could still hear the anger in his voice as he told me about an incident that happened almost 50 years before. In the late 60s, Gary had an idea to invent a new kind of printer, but his boss at Xerox was thwarting his efforts.

At the time, Gary was one of the few experts in the emerging field of laser optics, so there weren’t many others who could understand his work, much less how it could be applied to the still obscure field of computers. His boss was, in fact, was so hostile to Gary’s project that he threatened to fire anyone who worked with him on it.

Furious, the normally mild mannered Gary went over his boss’s head. He walked into the Senior Vice President’s office and threatened, “Do you want me to do this for you or for someone else?” For the stuffy, hierarchical culture of Xerox, it was outrageous behavior, but as luck would have it, the stunt paid off. News of Gary’s work made it across the country to the fledgling computer lab that Xerox had recently established in California, the Palo Alto Research Center (PARC).

Gary thrived in the freewheeling, collaborative culture at PARC. The researchers there had developed a graphical technology called bitmapping, but had no way to print the images out until he showed up. His development of the laser printer was not only a breakthrough in its own right, but with the decline of Xerox’s copier business, it actually saved the company.

The Wild Ideas Of Charlie Bennett

Charlie Bennett is one of those unusual minds that amazes everyone he meets. He told me that when he was growing up in the quiet Westchester village of Croton-on-Hudson he was a “geek before geeks were cool.” While the other kids were playing sports and trading baseball cards, what really inspired Charlie was Watson and Crick’s discovery of the structure of DNA.

So he went to college and majored in biochemistry and then went on to Harvard to do his graduate work, where he served as James Watson’s teaching assistant. Yet it was an elective course he took on the theory of computation that would change his fate. That’s where he first encountered the concept of a Turing Machine and he was amazed how similar it was to DNA.

So Charlie never became a geneticist, but went to work for IBM as a research scientist. It proved to be just the kind of place where a mind like his could run free, discussing wild ideas like quantum cryptography with colleagues around the globe. It was one of those discussions, with Gilles Brassard, that led to his major breakthrough.

What the two discussed was the wildest idea yet. They proposed to transfer information by quantumly entangling photons, something that Einstein had derisively called “spooky action at a distance” and was adamant couldn’t happen. Yet the two put a team together and, in 1993, successfully completed the quantum teleportation experiment.

That, in turn, led Charlie just a few months later to write down his four laws of quantum information, which formed the basis for IBM’s quantum computing program. Today, in his eighties, Charlie is semi-retired, but still goes into the labs at IBM research to quietly discuss wild ideas with the younger scientists, such as the quantum internet that’s continuing to emerge now.

For Innovation, Generosity Is A Competitive Advantage

My conversations with Jim, Gary, Charlie and many others made an impression on me. They were all giants in their fields (although Jim hadn’t won his Nobel yet) and I was a bit intimidated talking to them. Yet I found them to be some of the kindest, most generous people I ever met. Often, they seemed as interested in me as I was in them.

In fact, the behavior was so consistent that I figured it couldn’t be an accident. So I researched the matter further and found a number of studies that helped explain it. One, at Bell Labs, found that star engineers had a knack for “knowing who knows.” Another at the design firm IDEO found that great innovators essentially act as “knowledge brokers.“

A third study helps explain why knowledge brokering is so important. Analyzing 17.9 million papers, the researchers found that the most highly cited work tended to be mostly rooted within a traditional field, with just a smidgen of insight taken from some unconventional place. Breakthrough creativity occurs at the nexus of conventionality and novelty.

So as it turns out, generosity is often a competitive advantage for innovators. By actively sharing their ideas, they build up larger networks of people willing to share with them. That makes it that much more likely that they will come across that random piece of information and insight that will help them crack a really tough problem.

So if you want to find a truly great innovator, don’t look for the ones that make the biggest headlines are that are most inspiring on stage. Look for those who spend their time a bit off to the side, sharing ideas, supporting others and quietly pursuing a path that few others are even aware of.

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

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