Tag Archives: efficiency

The Amazing Efficiency of Systematic Guessing

The Amazing Efficiency of Systematic Guessing

GUEST POST from Dennis Stauffer

Are you as personally efficient as you could be? Most of us aren’t, and that may be because we’re not as innovative as we could be. Being efficient—for people and for organizations—isn’t just about doing things more quickly and automatically. It’s about rapidly adapting to change and discovering new strategies.

Most organizations—and most innovators—are convinced that innovation takes extra time and resources. That’s certainly true at times, but also misleading. Because being innovative can also make you dramatically more efficient. Finding solutions, making improvements and inventing new ways of doing things can save countless hours and resources—and there’s a more immediate gain than those future benefits.

Let me explain it this way.

Imagine that your challenge is to figure out how to spell a simple ten letter word: INNOVATION. (And let’s pretend you don’t already know.) You can of course start guessing, but that will take a while—a long while. There are 26 letters in the English alphabet and ten in this word. So that’s 26 to the 10th power, or more than 141-trillion, possibilities! If you guess once per second—without repeating any—it will take you more than four-and-a-half million years to cover them all.

Suppose instead that you’re at a computer, one that won’t tell you how to spell innovation, but will tell you when you’ve guessed the right letter. In other words, you can do what skilled innovators do. You can continually check whether your ideas—your guesses—are working. Now, each letter will require at most 26 guesses, one for each letter in the alphabet. You can cover all possibilities in 26 times 10 or 260 attempts. At one attempt per second, that will take you less than four-and-a-half minutes. And you don’t need to know anything about how to spell the word when you start.

Of course, the challenges you face are probably more complex than spelling a ten-letter word, and it will probably take longer than a second to explore possible solutions. But as complexity grows, so does the relative efficiency of this kind of systematic guessing.

Suppose the word you want to spell has eleven letters—INNOVATIONS. Just trying to guess it will now take you 26 times longer. That’s more than a hundred million years! When you check each of your guesses, it only adds another 26 seconds. You’re still done in less than five minutes. A hundred-million years, vs. five minutes. That’s the astronomical gain in efficiency you achieve when you know how to systematically investigate what works.

It’s as though you’re facing a genie with a puzzle. You need to solve that puzzle to make your wishes come true, and the genie won’t tell you the answer. But the genie is willing to give you clues—in the form of consequences. So to solve the puzzle, you must attempt possible solutions that will generate consequences—feedback—that will tell you whether you’re on the right track. That’s what skilled innovators do—and anyone else who hopes to successfully handle uncertainty—which is all of us.

So, if someone tells you, you don’t have time to be innovative, tell them you don’t have time not to.

Here is a video version of this post:

The Innovator Mindset YouTube channel brings you weekly tips, tricks and insights into how to be more creative, innovative and personally effective.

Image Credit: Pexels

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Humans, Not Technology, Drive Business Success

Humans, Not Technology, Drive Business Success

GUEST POST from Greg Satell

Silicon Valley is often known as a cut-throat, technocratic place where the efficiency of algorithms often define success. Competition is ferocious and the pace of disruption and change can be dizzying. It’s not the type of environment where soft skills are valued particularly highly or even at all.

So, it’s somewhat ironic that Bill Campbell became a Silicon Valley legend by giving hugs and professing love to those he worked with. As coach to executives ranging from Steve Jobs to the entire Google executive team, Campbell preached and practiced a very personal style of business.

Yet while I was reading Trillion Dollar Coach in which former Google executives explain Campbell’s leadership principles, it became clear why he had such an impact. Even in Silicon Valley, technology will only take you so far. The success of a business ultimately depends on the success of the people in it. To compete over the long haul, that’s where you need to focus.

The Efficiency Paradox

In 1911, Frederick Winslow Taylor published The Principles of Scientific Management, based on his experience as a manager in a steel factory. It took aim at traditional management methods and suggested a more disciplined approach. Rather than have workers pursue tasks in their own manner, he sought to find “the one best way” and train accordingly.

Taylor wrote, “It is only through enforced standardization of methods, enforced adoption of the best implements and working conditions, and enforced cooperation that this faster work can be assured. And the duty of enforcing the adoption of standards and enforcing this cooperation rests with management alone.”

Before long, Taylor’s ideas became gospel, spawning offshoots such as scientific marketing, financial engineering and the Six Sigma movement. It was no longer enough to simply work hard, you had to measure, analyze and optimize everything. Over the years these ideas have become so central to business thinking that they are rarely questioned.

Yet management guru Henry Mintzberg has pointed out how a “by-the-numbers” depersonalized approach can often backfire. “Managing without soul has become an epidemic in society. Many managers these days seem to specialize in killing cultures, at the expense of human engagement.”

The evidence would seem to back him up. One study found that of 58 large companies that have announced Six Sigma programs, 91 percent trailed the S&P 500 in stock performance. That, in essence, is the efficiency paradox. When you manage only what you can measure, you end up ignoring key factors to success.

How Generosity Drives Innovation

While researching my book, Mapping Innovation, I interviewed dozens of top innovators. Some were world class scientists and engineers. Others were high level executives at large corporations. Still others were highly successful entrepreneurs. Overall, it was a pretty intimidating group.

So, I was surprised to find that, with few exceptions, they were some of the kindest and most generous people I have ever met. The behavior was so consistent that I felt that it couldn’t be an accident. So I began to research the matter further and found that when it comes to innovation, generosity really is a competitive advantage.

For example, one study of star engineers at Bell Labs found that the best performers were not the ones with the best academic credentials, but those with the best professional networks. A similar study of the design firm IDEO found that great innovators essentially act as brokers able to access a diverse array of useful sources.

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 largely rooted within a traditional field, but with just a smidgen of insight taken from some unconventional place. Breakthrough creativity occurs at the nexus of conventionality and novelty.

The truth is that the more you share with others, the more they’ll be willing to share with you and that makes it much more likely you’ll come across that random piece of information or insight that will allow you to crack a really tough problem.

People As Profit Centers

For many, the idea that innovation is a human centered activity is intuitively obvious. So it makes sense that the high-tech companies that Bill Campbell was involved in would work hard to create environments to attract the best and the brightest people. However, most businesses have much lower margins and have to keep a close eye on the bottom line.

Yet here too there is significant evidence that a human-focused approach to management can yield better results. In The Good Jobs Strategy MIT’s Zeynep Ton found that investing more in well-trained employees can actually lower costs and drive sales. A dedicated and skilled workforce results in less turnover, better customer service and greater efficiency.

For example, when the recession hit in 2008, Mercadona, Spain’s leading discount retailer, needed to cut costs. But rather than cutting wages or reducing staff, it asked its employees to contribute ideas. The result was that it managed to reduce prices by 10% and increased its market share from 15% in 2008 to 20% in 2012.

Its competitors maintained the traditional mindset. They reduced cut wages and employee hours, which saved them some money, but customers found poorly maintained stores with few people to help them, which damaged their brand long-term. The cost savings Mercadona’s employees identified, on the other hand, in many cases improved service and productivity and these gains persisted long after the crisis was over.

Management Beyond Metrics

The truth is that it’s easy to talk about putting people first, but much harder to do it in practice. Research suggests that once a group goes much beyond 200 people social relationships break down, so once a business gets beyond that point, it becomes natural to depersonalize management and focus on metrics.

Yet the best managers understand that it’s the people that drive the numbers. As legendary IBM CEO Lou Gerstner once put it, “Culture isn’t just one aspect of the game… It is the game. What does the culture reward and punish – individual achievement or team play, risk taking or consensus building?”

In other words, culture is about values. The innovators I interviewed for my book valued solving problems, so were enthusiastic about sharing their knowledge and expertise with others, who happily reciprocated. Mercadona valued its people, so when it asked them to find ways to save money during the financial crisis, they did so enthusiastically.

That’s why today, three years after his death, Bill Campbell remains a revered figure in Silicon Valley, because he valued people so highly and helped them learn to value each other. Management is not an algorithm. It is, in the final analysis, an intensely human activity and to do it well, you need to put people first.

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

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Transformation Insights

Future Always Wins

“The most damaging phrase in the language is, ‘We’ve always done it this way!”
Grace Murray Hopper

GUEST POST from Bruce Fairley

Nearly a century ago in 1923, General Motors made an evolutionary leap in car design with the chemical expertise of Dupont. Debuting the new Duco paint technology, they introduced consumers to a range of car colors, thus giving the Second Industrial Revolution more variety. This was antithetical to rival Henry Ford’s ‘keep it plain to make it rain’ approach. One car – one color was his contribution to humanity. But the robotic consistency that made Ford a legend also became his Achilles heel as glamor and luxury disrupted the auto business and he was dragged kicking and screaming into the future.

When people say ‘it’s lonely at the top’ – it’s not. It’s crowded with competition. In today’s Fourth Industrial Revolution – or Industry 4.0 – leaders that have the courage to change are able to do what some titans haven’t been able to do.

Pivot. Quickly.

Technological leaps have now advanced to an accelerated rate unprecedented in human history. Change is no longer a left curve surprise, but rather a constant evolution that offers both potentially great reward – and great risk. If growth doesn’t drive change – danger will. Visionary leaders navigate today’s ‘wild west’ landscape with an intelligent team approach. One that re-aligns technology to serve business goals rather than other way around.

But this is not a solo mission. Evolution thrives in collaboration, whether it’s upending an industry or upleveling a medium sized firm into a scalable trajectory. Optimizing the tech-business relationship takes multiple points of expertise and objective study. Where technology currently serves – and where it’s poised to strike is a critical question at the heart of any digital transformation worth undertaking. This may not be obvious at first glance. A previously valuable ‘built to last’ feature may now be hindering ‘built to evolve’ capabilities.

That is one reason why C-Suite leaders often turn to digital transformation firms such as The Narrative Group to fix the gap between their current technological resources and their ambitions. Just as GM partnered with Dupont to dazzle consumers nearly a hundred years ago, corporations that wish to present their best offer to the world need a similar confluence of five positive elements:

  • Collaboration Between Complementary Influencers
  • Creative and Analytical Engagement
  • Smart Use of Technology
  • Human Powered Learnability

And most importantly … The Willingness to Change Because the future always wins.

When I founded The Narrative Group, it was partly in response to this need for collaboration that I saw as critical to a corporation’s evolution. Going a step beyond ‘consulting’ to helping construct a corporation’s best future allows me to contribute to the safeguarding of that future for the many people that rely on a corporation’s healthy bottom line to build their own lives. Human potential is measured not only in outcome but also the way in which that outcome is achieved. Effective collaboration requires three key pillars that support an evolutionary leap:

  • Trust between the internal leadership team and the digital transformation firm hired to consult.
  • Transparency in the process from first contact through recommendations.
  • Trajectory in implementing recommendations in a way that maximizes the potential benefits.

This is part of a larger conversation that I enjoy having with clients and within my own team. I will elaborate on some of these points in future posts, but for now I hope I’ve sparked some reflection about the strength of character great leaders exhibit when they choose to master change rather than be blindsided by it.

If you’re a C-Suite leader that would like to discuss your corporation’s Industry 4.0 evolution and how to advance towards a best future outcome that aligns with your vision, reach out at:

connect@narrative-group.com

Looking forward to continuing the conversation…

Image Credit: The Narrative Group

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Get More Done

Get More Done

What Matters Most Management (WMMM) is the Key to Success

Most times you’ll see this posed as a question “What matters most?” as people grapple with finding the meaning of life. That is not the case here…

Instead I would like to share with you my simple management philosophy that will help you be more successful in today’s sometimes overwhelming, chaotic world of too many competing demands on your time.

I will help you succeed on a whim! (well, okay a WMMM)

Your success in this case comes from following the whim (or WMMM) of What Matters Most Management. It can be tailored for use in managing your time, a project, etc. For simplicity we’ll look at time management today by popular request (people ask me all the time how I manage to get so much done).

It involves quite simply making a quick inventory of all of the things that you could focus on today, or that you’re being asked to focus on, and identifying three key things:

1. How big of an impact will completing this task have (Hi/Med/Lo)

2. How big of an effort will it take to complete this task (Hi/Med/Lo)

3. When will my energy be the best for completing this task (Morning/Afternoon/Evening)

This daily inventory of tasks can be done in your head, or on paper, depending on how detail oriented you are. After you have your mental or written list, then plan your day, prioritizing of course any tasks with a low effort/high impact combination (often very rare).

You will also want to prioritize any tasks that involve getting others to do work. Getting others started on their work sooner rather than later, will lead to those tasks getting done faster because they are not sitting in your inbox.

Consider also whether it makes sense to start a task you can’t finish today or not. Sometimes there is no advantage to starting something today instead of tomorrow if you’ll end up finishing it tomorrow either way. Other times there will be tasks you need to finish tomorrow that you’ll have to start today to make it work. Going through this exercise is how you’ll identify What Matters Most (WMM).

I find this method to suit an organic person like me much more than a rigid system like Franklin Covey, plus systems like that don’t take into account when the ideal time might be to do a certain type of work based on the composition of your day and personal energy patterns. Save up somewhat mindless, administrative type work for when you’re brain is tired and do your more creative, intense work when your mind is fresh.

It’s also amazing how frequently the Pareto Principle proves out (where the items that deliver 80% of the value only require 20% of your effort, and vice versa). Focus on that 20% that will drive the 80% of your potential positive perception in the minds of others and in tangible impact in your life.

The WMMM approach works the same on projects, and can be super powerful when a family, project team, etc. all follow a similar philosophy.

The WMMM approach can also be used by product managers and entrepreneurs to create more successful products and services!

Go ahead! Try it! I think you’ll find that you’ll get more done, and sometimes more importantly, people will notice.

Image credit: earningmoneytoday.com

This article originally appeared on Linkedin


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