Category Archives: Innovation

How to Fail Your Way to Success

How to Fail Your Way To Success

GUEST POST from Robyn Bolton

“Rapid Unscheduled Disassembly”

It’s a meme and my new favorite euphemism for getting dumped/fired (as in, “There was a rapid unscheduled disassembly of our relationship.”  Thank you, social media, for this gem)

It’s also spurred dozens of conversations with corporate leaders and innovation teams about the importance of defining success, the purpose of experiments, and the necessity of risk. 

Define Success so You Can Identify Failure

The dictionary defines “fail (verb)” as “be unsuccessful in achieving one’s goal.”

But, as I wrote last week, using your definition of success to classify something as a failure assumes you defined success correctly.

Space X didn’t define success as carrying “two astronauts from lunar orbit to the surface of the moon,” Starship’s ultimate goal. 

It defined success in 3 ways:

  • Big picture (but a bit general) – Validating “whether the design of the rocket system is sound.”
  • Ideal outcome – “Reach an altitude of 150 miles before splashing down in the Pacific Ocean near Hawaii 90 minutes [after take-off].”
  • Base Case – Fly far enough from the launchpad and long enough to generate “data for engineers to understand how the vehicle performed.”

By defining multiple and internally consistent types of success, SpaceX inspired hope for the best and set realistic expectations. And, if the rocket exploded on the launchpad? That would be a failure.

Know What You Need to Learn so You Know What You Need to Do

This was not the first experiment SpaceX ran to determine “whether the design of the rocket system was sound.”  But this probably was the only experiment they could run to get the data they needed at this point in the process.

You can learn a lot from lab tests, paper prototypes, and small-scale experiments. But you can’t learn everything. Sometimes, you need to test your idea in the wild.

And this scares the heck out of executives.

As the NYT pointed out, “Big NASA programs like the Space Launch System…are generally not afforded the same luxury of explode-as-you-learn. There tends to be much more testing and analysis on the ground — which slows development and increases costs — to avoid embarrassing public failures.”

Avoiding public failure is good. Not learning because you’re afraid of public failure is not.

So be clear about what you need to learn, all the ways you could learn it, and the trade-offs of private, small-scale experiments vs. large-scale public ones. Then make your choice and move forward.

Have Courage. Take a Risk

“Every great achievement throughout history has demanded some level of calculated risk, because with great risk comes great reward,” Bill Nelson, NASA Administrator.

“Great risk” is scary. Companies do not want to take great risks (see embarrassing public failure).

“Calculated risk” is smart. It’s necessary. It’s also a bit scary.

You take a risk to gain something – knowledge, money, recognition. But you also create the opportunity to lose something. And since the psychological pain of losing is twice as powerful as the pleasure of gaining, we tend to avoid risk.

But to make progress, you must take a risk. To take a risk, you need courage.

And courage is a skill you can learn and build. For many of us, it starts with remembering that courage is not the absence of fear. It is the choice to take action despite fear. 

When faced with a risk, face it. Acknowledge it and how you feel. Assess it by determining the best, worst, and most likely scenarios. Ask for input and see it from other people’s perspectives. Then make your choice and move forward.

How to know when you’ve successfully failed

Two quotes perfectly sum up what failure en route to success is:

“It may look that way to some people, but it’s not a failure. It’s a learning experience.”- Daniel Dumbacher, executive director of the American Institute of Aeronautics and Astronautics and a former high-level NASA official.

“Would it have been awesome if it didn’t explode? Yeah. But it was still awesome.” – Launch viewer Lauren Posey, 34.

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Embrace the Innovation Hate

Embrace the Innovation Hate

GUEST POST from Greg Satell

“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.” The truth is that any idea important enough to be valuable will be disruptive enough to inspire significant opposition to it ever gaining traction.

This phenomenon is often known as the Semmelweis Effect, after the Hungarian physician who pioneered hand washing in hospitals. Unfortunately, the medical establishment rejected his ideas and antiseptic procedures didn’t come into common use decades later. Millions of people died needlessly.

Yet as I’ve previously explained, much of the blame lays at Semmelweis’s door. Instead of taking into account valid criticisms of how he collected and communicated his data, he railed against the establishment, became a pariah and lost all credibility. The truth is that we need our critics, if for no other reason than that they have the power to save us from ourselves.

Exposing Flaws In Your Idea

One of the most effective programs for helping to bring discoveries out of the lab is I-Corps. First established by the National Science Foundation (NSF) to help recipients of SBIR grants identify business models for scientific discoveries, it has been such an extraordinary success that the US Congress has mandated its expansion across the federal government.

Based on Steve Blank’s lean startup methodology, the program aims to transform scientists into entrepreneurs. It begins with a presentation session, in which each team explains the nature of their discovery and its commercial potential. It’s exciting stuff, pathbreaking science with real potential to truly change the world.

Inevitably, during this initial session, they are asked, “how many customers have you talked to?” and, just as inevitably, their answer comes up woefully short. They are often yelled at and ordered to “get out of the building and talk to customers.” For many, it is a dressing down that they will never forget.

Ironically, much of the success of the I-Corps program is due to these early sessions. Once the entrepreneurs realize that they are on the wrong track, they embark on a crash course of customer discovery, interviewing dozens — and sometimes hundreds — of customers in search of a business model that actually has a chance of succeeding.

Make no mistake, every idea is flawed. As Steve Blank likes to say, “no business plan survives first contact with a customer.” So you want to expose as many flaws as you can before that happens.

Identifying Shared Values

In 1992, during the war in Bosnia, massive student protests broke out in Serbia. For 26 days, they demanded an end to the war and for the country’s authoritarian leader, Slobodan Milošević, to resign. Eventually, summer came, the students went home and little, if anything, was accomplished.

“These were very ‘Occupy’ type of protests,” Srdja Popović, one of the student leaders would later tell me,” where we occupied the five biggest universities and lived there in our little islands of common sense with intellectuals and rock bands while the rest of the country was more or less supportive of Milošević’s idea.”

Yet much like the I-Corps entrepreneurs, the activists learned from the experience. “We began to understand that staying in your little blurb of common sense was not going to save the country,” Popović remembers. In later years, the activists would learn to tailor their messages specifically to less educated rural Serbians who were turned off by the anti-war protests.

In much the same way, when developing a new product, it is often better to start with a minimum viable product rather than a full-featured prototype. You do this not so people can tell you how much they love your idea, but so they can tell you what they hate it and why. You have to get out of your own “little island” to find what people truly value.

They Can Send People Your Way

In the early hours of December 11, 2013, special police forces descended into the streets of Kyiv, Ukraine to violently assault peaceful activists protesting the Yanukovych regime. Known for their brutality, the units, called Berkut, cleared the streets and sent those gathered running to the shelter to the nearby St. Michaels Cathedral.

It proved to be a turning point, but not the one that Yanukovych expected. Mustafa Nayyem, who helped spark and then lead the protests, told me that the protests were losing steam and the brutal actions of the regime threw the support of the country their way. Yanukovych was forced out of office a few months later.

Often, your most fierce opponents can be your greatest asset. In his efforts to reform the Pentagon in the 1980s, Colonel John Boyd would start by doing low-key briefings to peers and then move on to congressional staffers. As his ideas gained steam, high-ranking generals would try to crush his efforts. Inevitably, they would overreach and he would gain even more support.

The key to leveraging your opposition is to not attack or even address them directly. Start by building the support of those who are already likely to be excited by the idea. As you gain traction, others will notice and join in. Eventually, your haters will feel they need to do something drastic and that will send even more people your way.

Whenever You Have A Big Idea, Someone’s Not Going To Like It

In researching my book, Cascades, I found that every successful transformational effort had a plan to overcome opposition. They didn’t dismiss their haters, but studied them, learned from them and were able to turn the disparagement to their own advantage. As the pressure increased, their opponents inevitably make a huge mistake that would turn the tide.

This is, of course, obvious in political and social movements, but I’ve found that it is just as important in corporate and organizational transformations. Make no mistake, if you want to drive anything more than incremental change, someone isn’t going to like it and they will work to undermine your efforts anyway they can. That is just a simple fact of life.

It is also something you can use to your advantage. Those who oppose your idea can point out flaws you may have missed. You can fix them. They help you expose underlying values that others may share as well. You can work to address them. As you build support, they are likely to lash out, creating an opening for you to win the day.

All too often, we end up preaching to the choir instead of venturing out of the church and mixing with the heathens. That’s how change efforts fail. So don’t ignore your haters. Embrace them. Learn from them. They can provide the key to driving transformation forward.

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

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Top 10 Human-Centered Change & Innovation Articles of May 2023

Top 10 Human-Centered Change & Innovation Articles of May 2023Drum 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. A 90% Project Failure Rate Means You’re Doing it Wrong — by Mike Shipulski
  2. ‘Innovation’ is Killing Innovation. How Do We Save It? — by Robyn Bolton
  3. Sustaining Imagination is Hard — by Braden Kelley
  4. Unintended Consequences. The Hidden Risk of Fast-Paced Innovation — by Pete Foley
  5. 8 Strategies to Future-Proofing Your Business & Gaining Competitive Advantage — by Teresa Spangler
  6. How to Determine if Your Problem is Worth Solving — by Mike Shipulski
  7. Sprint Toward the Innovation Action — by Mike Shipulski
  8. Moneyball and the Beginning, Middle, and End of Innovation — by Robyn Bolton
  9. A Shortcut to Making Strategic Trade-Offs — by Geoffrey A. Moore
  10. 3 Innovation Types Not What You Think They Are — by Robyn Bolton

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 three years:

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What is Failure?

What is Failure?

GUEST POST from Robyn Bolton

A couple of weeks ago, I wrote about my hatred of failure while acknowledging that there are things I hate more (inertia, blind allegiance to the status quo, unwillingness to try) that motivate me to risk it.

In response, I received this email from my friend and former colleague Daymara, now the Founder & CEO of Rockin’ Baker in Fayetteville, AR (shared here with her permission)

I’m the opposite. I love failing! That’s when I learn the most, that I question what and how I could better, question more and more. It triggers my brain to look back, re-evaluate, assess and spring forward. I wouldn’t be here today if I had not risked. I don’t think anyone starts anything thinking when they’d fail. But some of us aren’t afraid or hate it. I wouldn’t be here if I hate failing, wouldn’t have left my country looking for a safer place, wouldn’t have launched RBI because I didn’t have any entrepreneurial experience not even in the hospitality industry, wouldn’t have switched to focus on neurodiversity and so much more.

.

Because I came to the US, I got to meet you. Yes, I failed at seeing the signs & lost over 60% of my savings just 2 weeks before leaving Venezuela. I could’ve decided to stay because maybe it was going to be harder and the risk of failing in a country I didn’t know higher. I had a plan. If it didn’t work, come back home & start all over again.

.

I started RBI understanding that I could fail. I told myself, if I did, at least I would have an answer. Yes, I’m failing terribly at making this social enterprise work. Yet, I’ve gained so much knowledge about humanity, our differences, the unfairness that neurodivergents have to live daily, running a social enterprise and so much more. If I had hated failing, I wouldn’t be sharing my experience with other entrepreneurs so they don’t make the same mistakes I made. I wouldn’t be advocating for more equitable places for all, including women.

.

Failing feeds me to do better, to ask more questions, to explore more, to lead me to become better. I don’t love failing, I welcome it.

.

My first thought was, “Wow, this is so healthy! I wish more people felt and acted this way!”

My second thought was, “I wouldn’t apply the word ‘fail’ to any of these situations. You’re trying, learning, changing, and trying again.:

Just because you don’t get the expected outcome the first time doesn’t mean you failed.

Or does it?

What the Dictionary Says

According to Oxford Languages, “fail” (verb) means

  1. Be unsuccessful in achieving one’s goal, “he failed in his attempt to secure election.”
  2. Neglect to do something, “the firm failed to give adequate risk warnings.”
  3. Break down; cease to work well, “a truck whose brakes had failed.”

True but contextual:

  1. If success is defined as launching a new product, but customer feedback proves there’s no demand or willingness to pay, is shutting it down a failure?
  2. If you neglect something that isn’t important or doesn’t have significant ramifications, like not eating breakfast, did you fail or simply forget, run out of time, or make a mistake?
  3. If something works but not well, like an expense reporting system, is it a failure or just burdensome, a pain, or a necessary evil?

Also, incomplete.

What People Say

“Fail” has so many definitions and meanings in Daymara’s telling of her story. In addition to some of the dictionary’s definitions, she also uses “Fail” to mean:

  1. Take smart risks, “I could’ve decided to stay because maybe it was going to be harder and the risk of failing in a country I didn’t know higher. I had a plan. If it didn’t work, come back home & start all over again.”
  2. Get new information to facilitate learning,
    • “I’m the opposite. I love failing! That’s when I learn the most, that I question what and how I could better, question more and more. It triggers my brain to look back, re-evaluate, assess and spring forward.”
    • I started RBI understanding that I could fail. I told myself, if I did, at least I would have an answer.
  3. Adapt and change based on learning, “wouldn’t have switched to focus on neurodiversity”
  4. Grow, improve, evolve, “Failing feeds me to do better, to ask more questions, to explore more, to lead me to become better. I don’t love failing, I welcome it.”

What Do You Say?

Like “Innovation,” “Failure” is a word we all use A LOT that no longer has a common definition. In the dictionary, failure is bad and to be avoided. To Daymara and scores of entrepreneurs and innovators, failure is wonderful and welcome.

Progress, either towards or away from failure, requires us to define “Failure” for ourselves and our work and agree on a definition with our teammates.

So, tell me:

  1. What is failure to you?
  2. To your team?
  3. To your boss?

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Mystery of Stonehenge Solved

Mystery of Stonehenge Solved

by Braden Kelley

Forget about capturing and reverse engineering alien spacecraft to gain a competitive edge in the innovation race. Sorry, but the universe is billions of years old and even if some extra terrestrial civilization millions or billions of years older than our own managed to travel here from halfway across the galaxy and crash, it is very likely that we would be incapable of reverse engineering their technology.

Why?

When the United States captures a downed enemy aircraft we can reverse engineer it because at its core it is still an aircraft made of similar materials to those we use and made using similar manufacturing processes. Meaning that we already have the capabilities to build something similar, we just need a physical example or blueprints of the aircraft.

But, when you are talking about something made using technology thousands, millions, or billions of years more advanced than our own, it becomes less likely that we would be able to reverse engineer found technology. This is because there would likely be materials involved that we haven’t discovered yet, either entirely new elements on the periodic table or alloys that we don’t yet know how to make. Imagine what would happen if a slightly damaged Apollo-era Saturn V rocket suddenly appeared circa 50 AD next to the Pantheon in Rome. How long would it be before the Romans would be able to fly to the moon?

If a large, and overdue, solar event were to occur and destroy all of our electricity-based technology, how long would it take for us to be able to achieve spaceflight again?

Apocalypse Innovation

There is no doubt that human beings developed a different set of technologies prior to the last great apocalypse and most of this knowledge has been lost through time, warfare, and 400 feet of water or 20 feet of earth. Only tall stone constructions away from prehistoric coastlines or items locked away in dry underground vaults survived. History and technology are incredibly perishable.

Twelve thousand years later we have achieved some pretty remarkable achievements and ground penetrating radar is giving us new insight into the scope and scale of pre-apocalypse societies hidden undersea and underground.

But, there are a great many mysteries from the ancient world that we are still struggling to reverse engineer. From the pyramids to Stonehenge, people are hypothesizing a number of ways these monuments may have been built and what their true purpose might have been.

Nine years ago researchers from the University of Amsterdam determined that the blocks on stone moved around on the Giza plateau on sledges would have moved easier if someone went before them wetting the sand.

Eleven years ago, American Wally Wallington of Michigan showed in a YouTube video how he could move stones weighing more than a ton up to 300 feet per hour and then stand them up vertically all by himself.

He didn’t invent some amazing new piece of technology to do this, but instead eschewed modern technology and showed how he can do this using basic principles of physics and gravity. First let’s look at the video and then we’ll talk about what apocalypse innovation exercise is:

The apocalypse innovation exercise is one way of challenging orthodoxies and is quite simple:

  1. Identify a technology or input that is key to your product or service achieving its goal
  2. Concoct a simple reason why this technology no longer functions or this input is no longer available
  3. Have the group begin to ideate alternative inputs that could be used or alternate technologies that could be leveraged or developed to make the product or service achieve its goal again (If you are looking for a new technology, what are the first principles that you could go back to? And what are the other technology paths you could explore instead? – i.e. acoustic levitation instead of electromagnetic levitation)
  4. Pick one from the list of available options
  5. Re-engage the group to backcast what it will take to replace the existing technology or input with this new one (NOTE: backcasting is the practice of working backwards to show how an outcome will be achieved)
  6. Sketch out how the product or service will change as result of using this new technology or input
  7. Brainstorm ways that this change can be positioned as a benefit for customers

Apocalypse innovation can be a valuable innovation exercise for those products or services approaching the upper flattening of the traditional ‘S’ curve that pretty much all innovations go through and represents one way that can lead you to the steeper part of a new ‘S’ curve.

What other exercises do you like to use to help people challenge orthodoxies?

If you’d like to sign up to learn more about my new FutureHacking™ methodology and set of tools, go here.

Build a Common Language of Innovation on your team

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When Innovation Becomes Magic

When Innovation Becomes Magic

GUEST POST from Pete Foley

Arthur C Clarke’s 3rd Law famously stated:

“Any sufficiently advanced technology is indistinguishable from magic”

In other words, if the technology of an advanced civilization is so far beyond comprehension, it appears magical to a less advanced one. This could take the form of a human encounter with a highly advanced extraterrestrial civilization, how current technology might be viewed by historical figures, or encounters between human cultures with different levels of scientific and technological knowledge.

Clarke’s law implicitly assumed that knowledge within a society is sufficiently democratized that we never view technology within a civilization as ‘magic’.  But a combination of specialization, rapid advancements in technology, and a highly stratified society means this is changing.  Generative AI, Blockchain and various forms of automation are all ‘everyday magic’ that we increasingly use, but mostly with little more than an illusion of understanding around how they work.  More technological leaps are on the horizon, and as innovation accelerates exponentially, we are all going to have to navigate a world that looks and feels increasingly magical.   Knowing how to do this effectively is going to become an increasingly important skill for us all.  

The Magic Behind the Curtain:  So what’s the problem? Why do we need to understand the ‘magic’ behind the curtain, as long as we can operate the interface, and reap the benefits?  After all, most of us use phones, computers, cars, or take medicines without really understanding how they work.  We rely on experts to guide us, and use interfaces that help us navigate complex technology without a need for deep understanding of what goes on behind the curtain.

It’s a nuanced question.  Take a car as an analogy.  We certainly don’t need to know how to build one in order to use one.  But we do need to know how to operate it and understand what it’s performance limitations are.  It also helps to have at least some basic knowledge of how it works; enough to change a tire on a remote road, or to have some concept of basic mechanics to minimize the potential of being ripped off by a rogue mechanic.  In a nutshell, the more we understand it, the more efficiently, safely and economically we leverage it.  It’s a similar situation with medicine.  It is certainly possible to defer all of our healthcare decisions to a physician.  But people who partner with their doctors, and become advocates for their own health generally have superior outcomes, are less likely to die from unintended contraindications, and typically pay less for healthcare.  And this is not trivial.  The third leading cause of death in Europe behind cancer and heart disease are issues associated with prescription medications.  We don’t need to know everything to use a tool, but in most cases, the more we know the better

The Speed/Knowledge Trade-Off:  With new, increasingly complex technologies coming at us in waves, it’s becoming increasing challenging to make sense of what’s ‘behind the curtain’. This has the potential for costly mistakes.  But delaying embracing technology until we fully understand it can come with serious opportunity costs.  Adopt too early, and we risk getting it wrong, too late and we ‘miss the bus’.  How many people who invested in crypto currency or NFT’s really understood what they were doing?  And how many of those have lost on those deals, often to the benefit of those with deeper knowledge?  That isn’t to in anyway suggest that those who are knowledgeable in those fields deliberately exploit those who aren’t, but markets tend to reward those who know, and punish those who don’t.    

The AI Oracle:  The recent rise of Generative AI has many people treating it essentially as an oracle.  We ask it a question, and it ‘magically’ spits out an answer in a very convincing and sharable format.  Few of us understand the basics of how it does this, let alone the details or limitations. We may not call it magic, but we often treat it as such.  We really have little choice; as we lack sufficient understanding to apply quality critical thinking to what we are told, so have to take answers on trust.  That would be brilliant if AI was foolproof.  But while it is certainly right a lot of the time, it does make mistakes, often quite embarrassing ones. . For example, Google’s BARD incorrectly claimed the James Webb Space Telescope had taken the first photo of a planet outside our solar system, which led to panic selling of parent company Alphabet’s stock.  Generative AI is a superb innovation, but its current iterations are far from perfect.  They are limited by the data bases they are fed on, are extremely poor at spotting their own mistakes, can be manipulated by the choice of data sets they are trained on, and they lack the underlying framework of understanding that is essential for critical thinking or for making analogical connections.  I’m sure that we’ll eventually solve these issues, either with iterations of current tech, or via integration of new technology platforms.  But until we do, we have a brilliant, but still flawed tool.  It’s mostly right, is perfect for quickly answering a lot of questions, but its biggest vulnerability is that most users have pretty limited capability to understand when it’s wrong.

Technology Blind Spots: That of course is the Achilles Heel, or blind spot and a dilemma. If an answer is wrong, and we act on it without realizing, it’s potentially trouble. But if we know the answer, we didn’t really need to ask the AI. Of course, it’s more nuanced than that.  Just getting the right answer is not always enough, as the causal understanding that we pick up by solving a problem ourselves can also be important.  It helps us to spot obvious errors, but also helps to generate memory, experience, problem solving skills, buy-in, and belief in an idea.  Procedural and associative memory is encoded differently to answers, and mechanistic understanding helps us to reapply insights and make analogies. 

Need for Causal Understanding.  Belief and buy-in can be particularly important. Different people respond to a lack of ‘internal’ understanding in different ways.  Some shy away from the unknown and avoid or oppose what they don’t understand. Others embrace it, and trust the experts.  There’s really no right or wrong in this.  Science is a mixture of both approaches it stands on the shoulders of giants, but advances based on challenging existing theories.  Good scientists are both data driven and skeptical.  But in some cases skepticism based on lack of causal understanding can be a huge barrier to adoption. It has contributed to many of the debates we see today around technology adoption, including genetically engineered foods, efficacy of certain pharmaceuticals, environmental contaminants, nutrition, vaccinations, and during Covid, RNA vaccines and even masks.  Even extremely smart people can make poor decisions because of a lack of causal understanding.  In 2003, Steve Jobs was advised by his physicians to undergo immediately surgery for a rare form of pancreatic cancer.  Instead he delayed the procedure for nine months and attempted to treat himself with alternative medicine, a decision that very likely cut his life tragically short.

What Should We Do?  We need to embrace new tools and opportunities, but we need to do so with our eyes open.   Loss aversion, and the fear of losing out is a very powerful motivator of human behavior, and so an important driver in the adoption of new technology.  But it can be costly. A lot of people lost out with crypto and NFT’s because they had a fairly concrete idea of what they could miss out on if they didn’t engage, but a much less defined idea of the risk, because they didn’t deeply understand the system. Ironically, in this case, our loss aversion bias caused a significant number of people to lose out!

Similarly with AI, a lot of people are embracing it enthusiastically, in part because they are afraid of being left behind.  That is probably right, but it’s important to balance this enthusiasm with an understanding of its potential limitations.  We may not need to know how to build a car, but it really helps to know how to steer and when to apply the brakes .   Knowing how to ask an AI questions, and when to double check answers are both going to be critical skills.  For big decisions, ‘second opinions’ are going to become extremely important.   And the human ability to interpret answers through a filter of nuance, critical thinking, different perspectives, analogy and appropriate skepticism is going to be a critical element in fully leveraging AI technology, at least for now. 

Today AI is still a tool, not an oracle. It augments our intelligence, but for complex, important or nuanced decisions or information retrieval, I’d be wary of sitting back and letting it replace us.  Its ability to process data in quantity is certainly superior to any human, but we still need humans to interpret, challenge and integrate information.  The winners of this iteration of AI technology will be those who become highly skilled at walking that line, and who are good at managing the trade off between speed and accuracy using AI as a tool.  The good news is that we are naturally good at this, it’s a critical function of the human brain, embodied in the way it balances Kahneman’s System 1 and System 2 thinking. Future iterations may not need us, but for now AI is a powerful partner and tool, but not a replacement

Image credit: Pixabay

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Four Questions That Make Better Innovators

Four Questions That Make Better Innovators

GUEST POST from Greg Satell

In 1999, the day before his eighth startup went public, Steve Blank decided to retire at the age of 45. With time to reflect, he sat in a ski lodge and began to write a memoir with a “lessons learned” section at the end of each chapter. “In hindsight, it was a catharsis of moving from one part of my life to another,” he later told me.

“I was 80 pages in when I realized there was a pattern. When I sat inside the building things didn’t go very well, but when I got outside the building things turned around and got much better,” he remembered. What he meant was that it was only when he got out and talked to customers that he could really get a handle on the business.

We like to think that innovation is about ideas, but it’s really about solving problems. In order to surface problems, you need to ask questions, which is why Steve’s businesses started doing better when he got out of the building to talk to customers. The better questions you ask, the better problems you can identify. Here are four questions that will help you do that.

1.Why?

Problems come in all shapes and sizes. Some problems are relatively minor and can be worked around. Others are more fundamental and represent serious impediments to effective operations. Clearly, the more fundamental the problem you can identify, the greater the impact you can create by solving it.

One very effective technique to do that is called the 5 Whys. For example, when NY Times columnist Charles Duhigg noticed that however much he and his wife wanted to get home on time to eat dinner with their kids, they inevitably ended up getting caught up at work and arriving home late, he began to ask “why?”

The first “why” of he and his wife arriving late to dinner was because they had work to finish. Why? Because there were pesky little tasks, like responding to emails, that they needed to get done. Why? Because they couldn’t get to them during the day. Why? Because they arrived at work just before their first meeting. Why? Because they were busy getting the kids ready for school.

By the fifth “why” he realized that the problem wasn’t so much that they got caught up at work, but that it took too long to get the kids ready for school. The conundrum was solved by having the kids lay out their clothes for school the night before. The Duhiggs soon began having family dinners regularly.

It’s an incredibly powerful technique. Each why takes you a bit deeper into the problem and, as you begin to identify root causes, you’ll be able to come up with more effective solutions.

2. Where’s The Monkey?

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.

One reason that this happens is that there is a fundamental tension between innovation and operations. Operational executives tend to focus on identifying clear benchmarks to track progress. That’s fine for a typical project, but when you are trying to do something truly new and different, you have to directly confront the unknown.

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.

3. How Will We Fail?

Innovation is not a mere intellectual endeavor. It’s highly emotional. You thrive on your hopes and dreams. That’s what keeps you going and helps you block out doubts, both your own and those of others. Failure is just not something you want to contemplate. It’s just too painful.

Yet thinking seriously about failure can actually help you succeed and there are two techniques that can help you do that productively. The first, called pre-mortems, asks you to imagine that the project has failed and figure out why it happened. The second, called red teaming sets up an independent team to find flaws in the idea.

The idea isn’t to figure out ways to kill the project, but to identify holes to be plugged. For example, when the Obama administration thought it had identified Osama bin Laden’s hideout, it set up a red team to challenge the evidence. Because the red team had no emotional attachment to the initial analysis, they were able to look at it far more objectively.

As we now know, the raid on bin Laden’s compound went ahead, but the red team was able to raise important questions that strengthened the plan. To successfully innovate, you need to do the same. Identify every potential for failure that you can so that you can address those issues before going forward.

4. What Kind Of Problem Are We Trying To Solve?

Go to any innovation conference and you will undoubtedly see a wide variety of innovation experts championing their favored strategy and each will have stories that will amaze you. Design thinking, disruptive innovation, lean startup methods and open innovation have all become buzzwords because they have produced real results.

Yet none of them is a cure-all. Each performs well with some classes of problems, but not so well in others. That’s why in my book, Mapping Innovation, I advocated using the whole innovation toolbox. The trick is to match the right type of problem with the right type of solution.

Innovation Matrix Greg Satell

The truth is that there is no one “true” path to innovation. Many organizations get stuck because they end up locking themselves into a single strategy. They find something that works and say, “this is how we innovate” and end up trying to apply essentially the same solution no matter what the problem is. Eventually, that ends badly.

That’s why it’s so important to ask good questions. Every problem is, to some extent, unique. You can’t simply assume you know the solution beforehand. That’s why Steve Blank’s businesses failed when he stayed “in the building” and prospered when he got out of it. If you want to become a better innovator. Ask better questions.

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

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Underground Innovation

How giving people space can make a big difference to your innovation profile

Underground Innovation

GUEST POST from John Bessant

If you’d snuck up behind me last weekend you’d have caught me in the act of painting walls. Not the most exciting of pursuits but it needed to be done so that now I can sit here and write in a freshly-painted room. And importantly one where even my clumsy brushwork doesn’t show in unsightly streaks and overruns. I am amongst millions of painters, professional and otherwise who regularly mutter small votes of thanks to Richard Drew and his invaluable contribution to the world of painting and decorating — masking tape.

This humble but essential innovation is getting on in years but still turns a profit for the company which originated it way back in 1925–3M. But it would never have seen the light of day if company strategy and official policy had prevailed. It exists because of Drew’s late night and unofficial efforts in direct defiance of his boss’s orders.

Drew was working as a technical salesman, dealing with some of the copmpany’s biggest customers for their core product — sandpaper. He spent a lot of time visiting car factories in that newly-growing industry, and in particular the paint shops where sandpaper was used to prepare metal surfaces for painting.

The paint crews were well aware of the good old days when Henry Ford had simplified their job — in 1909 he’d outlined a strategy for his company, which concentrated on a single model (the Model T) which could be built in high volume at low price. Doing this involved a number of trade-offs, not least in terms of massively editing down the choices available to customers. It was at this strategy meeting that he reputedly said ‘Any customer can have a car painted any colour that he wants so long as it is black.’

That decision helped establish the Model T as ‘a car for Everyman at a price every man can afford’, bringing the price down by 75% and putting it within the reach of many people. But it didn’t satisfy the market for long. People wanted more choice in models, styles — and colour schemes. All of which made life more difficult for the skilled craftsmen in the paint shops, trying to deliver ever more exotic paint jobs without slowing down production.

The problem is that when you want to paint with more than one colour then you need to cover up the area you don’t want painted. Which is a clumsy fussy business; early attempts involved using rags, newspapers and scraps of cardboard but then they had to be held in place, making a one-man job into a two-man job. Attempts to solve this by using sticky tape to hold the mask in place also failed; the solvents in the paint dissolved the adhesive on the tape making the whole mask slip and slide all over the surface.

An Innovation Dust-up

Which is where Richard Drew came in, trying to sell a new kind of sandpaper which 3M had launched which offered to cut down the dust created when preparing a metal surface for painting. Hearing some choice language coming from one corner of the shop he walked over to ask what the problem was — to be given an expletive filled tutorial in how not to mask up a paint job. What was needed — he was told in no uncertain terms — was a better adhesive tape which would actually stick and stay stuck!

He went back to his office and began to tinker around with various formulations to try and make something suitable. His boss wasn’t too pleased, ordering him to get back to his main job of selling sandpaper — but he kept on with the quest.

It took him two years and involved a variety of vegetable oils, chicle, linseed, various resins, glue, glycerine and treated crepe paper. What he eventually came up with was a tape strong enough to stick to the surfaces but easy enough to peel off without leaving any scars on the paintwork. Despite its promise his boss wouldn’t allow him to buy the machinery he needed to produce it in quantity — so Drew turned his innovative skills to the problem of financing capital equipment. He bought his machinery in small pieces, each of which cost less than the $99 he was permitted to spend on an item of equipment., and then assembled the machine himself.

This last act finally convinced his boss to let him go ahead — and also provided a lesson which became a company mantra. The boss in question was William McKnight and he made a key policy out of the experience. “If you have the right person on the right project, and they are absolutely dedicated to finding a solution — leave them alone. Tolerate their initiative and trust them.”

And so 3M’s ‘bootlegging’ approach was born, and it persists today embodied now in formal company policy. Give people permission to play around, don’t control them too tightly and let their natural creativity and entrepreneurship do the rest. Their 15% policy (allowing employees to spend up to 15% of their time in pursuit of their own ideas and hunches) has been responsible for thousands of product and process innovations, a few of which (like PostIt Notes) have gone on to be breakthrough radical innovations.

Operating Below the Radar

The masking tape story is a classic example of innovation happening below the radar screen (except the radar wasn’t invented in 1925!). We know today that smart companies who care about innovation invest in the capacity for innovation — R&D and market research, future scoping, etc. Organized innovation, buying themselves options on the future. All good — but maybe only focusing on the formal means potentially missing out on what might be happening underground. Because by their nature people are innovators, prone to experiment and tinker around, frustrated with aspects of their work which they think a little hacking around the edges might help them with. Why not tap into this as another source of innovation?

(Especially since it’s actually not that expensive in terms of lost productive time. The origin of the 15% figure at 3M was McKnight’s the observation that this was the time people spent on coffee breaks and on lunch breaks and so on, times when they could do some of this unofficial innovation).

It’s not just the benefits in terms of the possible product and process innovations which it might lead to. It’s also a powerful motivator, something which can help retain and inspire employees. Allowing people time and space to explore communicates a core company value — — it’s an invitation to tinker to hack things, to play around. And it has certainly paid off for 3M and other companies; consider these examples:

  • The Sony PlayStation started as a bootleg project by Ken Kutaragi, an engineer who secretly worked on a video game console with Nintendo without Sony’s approval.
  • The HP DeskJet printer was originally developed by a group of HP engineers who wanted to create a low-cost inkjet printer for personal use. They used bootleg parts and software to build their first prototype, which they hid under a tablecloth when not in use.
  • The first spreadsheet software was created by two programmers Dan Bricklin and Bob Frankston, who worked on their project without any formal support or funding from their employers. They went on to found their own company, Visicalc, which for a while was the market leader in the field.
  • Google’s 20% allowing employees time to spend on personal projects led to several innovations including Google Maps, Google News and Gmail.
  • Toshiba’s pioneering notebook computer was developed by a team of engineers who worked on it covertly for four years. They used their own laptops and software tools to create a prototype that featured innovative elements such as a lightweight design, a long battery life and a high-performance processor. The project was initially rejected by the management, but later accepted after some modifications. Introduced in 1985 it became a global leader in the portable computer market.
  • BMW has a long history of bootleg innovations which have gone on to become success stories. For example the Z1 roadster was developed by a small team of engineers who worked on it secretly for four years. They used their own time and resources to create a prototype that featured innovative elements such as a plastic body, retractable doors and a modular design. The project was eventually discovered by the top management and approved for production in 1986. And the iDrive was developed by a team of engineers who worked on it without any formal mandate or budget, using their own laptops and software tools. They also conducted user tests with their own cars and friends. The project was initially rejected by the management, but later became a standard feature in many BMW models. These projects helped legitimise what the company now calls ‘U-boat’ projects , recognising the value of the bootlegging approach.

Forbidden Fruit

Peter Augsdorfer made a classic study of the phenomenon, reported it in his wonderful book ‘Forbidden fruit’ in which he highlights many examples of such ‘bootlegging’ approaches. (The term originated during the 1920s when the US government banned the manufacture and sale of hard liquor; the measure didn’t have the desired effect of wiping out the industry and sobering up the country. Instead it triggered a wave of illegal but at times highly innovative ways around the problem, essentially driving innovation underground and out of sight . This included hiding illicit liquor down the inside of boots).

Augsdorfer argues that bootlegging can be seen as a form of learning under uncertainty, where employees experiment with new ideas and technologies without formal approval or support. In other words it’s an unofficial extension of the R&D/exploration work which companies need to do anyway.

Importantly it’s an approach which can have other positive benefits for organizations beyond the innovations which its employees create, such as enhancing motivation and employee retention and fostering a culture of internal entrepreneurship. But it has its ‘dark side’; there are negative outcomes including wasting time and resources, violating ethical norms and — a big challenge for those trying to ‘manage’ it — undermining organizational control and co-ordination frameworks.

Innovation Missionaries

Augsdorfer orginally wrote about this 25 years ago but a recent article in the Sloan Management Review reminds us that such underground innovation is alive and well. It’s not a case of ‘one size fits all’ and their article highlights a number of different approaches. It also usefully identifies three key archetypes of characters who may be innovators of this kind. They call them ‘missionaries’, ‘users’ and ‘explorers’.

Missionaries have a particular interest in the development of the company; their self-adopted ‘mission’ is to improve things. Characters like Richard Drew would fall into this category, seeing their own progress as being tied up with the fortunes of the company they work for and tapping into its resources to help them achieve their goals.

User innovators are essentially frustrated in what they are doing — they develop hacks and work arounds to solve problems particularly in the area of process innovation and their ideas can often be surfaced through suggestion schemes and other mechanisms.

And explorers are concerned with pushing the frontiers of what they do, sometimes going in directions which the company does not believe is possible. The risk here is that they pursue their ideas too far, detracting from their mainstream work and official company strategy.

Making Space for Innovation

So what makes underground innovation work? It’s not simply waving a magic wand, Harry Potter style, and casting the ‘Innovate!’ spell. Instead a number of things need to come together:

  • Allowing space — time, access to resources, etc. The exact amount — 15, 20 or even higher percentages of time — is irrelevant. It’s the signal that matters, communicating that it is OK to experiment around the edges and that there won’t be negative consequences for such action. What often happens is that this small amount of investment encourages employees to spend much more of their own time and initiative, often working long unpaid hours in pursuit of their ideas. At the limit (as Paula Criscuouolo and her colleagues point out) there are good examples of bootlegging arising from contexts in which there is no formal space or time allocation but an underlying perception that it is still OK to ‘dig around a little’.
  • Giving boundaries — defining the space within which innovation is possible and permission to explore there. For example we don’t necessarily want bootleg innovation in the formulation of pharmaceutical products but that leaves plenty of scope for other ideas, particularly in process innovation.
  • Establishing a development pathway to pick up on bootleg ideas. There’s no point stimulating lots of bootlegging behaviour if employees have nowhere to channel their ideas once they start to develop. In the case of 3M there’s a clear pathway which allows employees to take bright ideas and pitch for varying amounts of internal funding and other resources to grow and scale their innovations. Such functionality is increasingly built into innovation collaboration platforms and many companies — such as Liberty Global with their Spark programme — have established employee entrepreneurship pathways in parallel to their suggestion schemes.
  • Communicate trust as a core value — allowing bootleggers to feel a sense of psychological safety about what they are doing and that they will not be penalised for their activities.
  • Reward and recognise — it’s no coincidence that one of the things about 3M is that the people who have been involved in developing bootleg projects to fruition are then rewarded not just with resources and money but also with the opportunity to carry their venture forward. One of the two people involved in the development of Post it notes was Art Fry who moved on to run the division for 3M. The originator of the laptop computer within Toshiba similarly went on to run that division of their business.
  • Encourage intelligent failure — the down-side of allowing people to take initiative is that they will make mistakes. Importantly one of McKnight’s famous comments was that Management that is destructively critical when mistakes are made kills initiative. And it’s essential that we have many people with initiative if we are to continue to grow.’

Underground innovation has a lot to offer -but as the above suggests it isn’t a simple matter of mimicking Google or 3M, allocating a percentage of time and then waiting for the magic to happen. Successful organizations make employee involvement a key plank in building their innovation culture; something William Mcknight learned from his experience as Richard Drew’s manager. By 1929 he was running the entire 3M company and he pulled together some of the core principles through which their culture developed — including what he called his ‘Basic rule of management’. It’s deceptively simple and it serves well as a motto for anyone interested in tapping into underground innovation:

“delegate responsibility and encourage men and women to exercise their initiative.”

Image Credits: Pixabay

You can find a podcast version of this here and a video version here

And if you’d like to learn with me take a look at my online course here

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3 Innovation Types Not What You Think They Are

But They Do Determine Your Success

3 Innovation Types Not What You Think They Are

GUEST POST from Robyn Bolton

The Official Story

When discussing innovation, you must be specific so people know what you expect. This is why so many thought leaders, consultants, and practitioners preach the importance of defining different types of innovation.

  • Clayton Christensen encourages focusing on WHY innovation is happening – improve performance, improve efficiency, or create markets – in his 2014 HBR article.
  • The classic Core/Adjacent/Transformational model focuses on WHAT is changing – target customer, offering, financial model, and resources and processes.
  • McKinsey’s 3 Horizons focus on WHEN the results are achieved – this year, 2-3 years, 3-6 years.

It’s easy to get overwhelmed by the options and worry about which approach is “best.”  But, like all frameworks, they’re all a little bit right and a little bit wrong, and the best one is the one that will be used and get results in your organization.

The REAL story

Everything in the official story is true, but not the whole truth.

“Innovation” is not peanut butter. 

You can’t smear it all over everything and expect deliciousness.

When doing innovation, you must remember your customer – the executives who make decisions, allocate resources, and can accelerate or decimate your efforts.

More importantly, you need to remember their Jobs to be Done (JTBD) – keep my job, feel safe and respected, and be perceived as competent/a rising star – because these jobs define the innovations that will get to market.

Three (3) REAL types of innovation

SAFE – The delightful solution to decision-makers’ JTBD

Most closely aligned with Core innovation, improving performance or efficiency, and Horizon 1 because the focus is on improving what exists in a way that will generate revenue this year or next. Decision-makers feel confident because they’ve “been there and done that” (heck, doing “that” is probably what got them promoted in the first place). In fact, they’re more likely to get in trouble for NOT investing in these types of innovations than they are for investing in them.

STRETCH – The Good Enough solution

Most like Adjacent innovation because they allow decision-makers to keep one foot in the known while “stretching” their other foot into a new (to them) area. This type of innovation makes decision-makers nervous because they don’t have all the answers, but they feel like they at least know what questions to ask. Progress will require more data, and decisions will take longer than most intrapreneurs want. But eventually, enough time and resources (and ego/reputation) will be invested that, unless the team recommends killing it, the project will launch.

SPLATTER – The Terrible solution

No matter what you call them – transformational, radical, breakthrough, disruptive, or moonshots – these innovations make everyone’s eyes light up before reality kicks in and crushes our dreams. These innovations “define the next chapter of our business” and “disrupt ourselves before we’re disrupted.”  These innovations also require decision-makers to let go of everything they know and wander entirely into the unknown. To invest resources in the hope of seeing the return (and reward) come back to their successor (or successor’s successor). To defend their decisions, their team, and themselves when things don’t go exactly as planned.

How to find the REAL type that will get real results.

  1. “You said you want X. Would you describe that for me?” (you may need to give examples). When I worked at Clayton Christensen’s firm, executives would always call and ask for our help to create a disruptive innovation. When I would explain what they were actually asking for (something with “good enough” performance and a low selling price that appeals to non-consumers), they would back away from the table, wave their hands, and say, “Oh, not that. We don’t want that.
  2. “How much are you willing to risk?”  If they’re willing to go to their boss to ask for resources, they’re willing to Stretch. If they’re willing to get fired, they’re willing to Splatter. If everything needs to stay within their signing authority, it’s all about staying Safe.
  3. “What would you need to see to risk more?”  As an innovator, you’ll always want more freedom to push boundaries and feel confident that you can convince others to see things your way. But before you pitch Stretch to a boss that wants Safe, or Splatter to a boss barely willing to Stretch, learn what they need to change their minds. Maybe it will be worth your effort, maybe it won’t. Better to know sooner rather than later.

Image credits: Pixabay

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Sprint Toward the Innovation Action

Sprint Toward the Innovation Action

GUEST POST from Mike Shipulski

Companies have control over one thing: how to allocate their resources. Companies allocate resources by deciding which projects to start, accelerate, and stop; whom to allocate to the projects; how to go about the projects; and whom to hire, invest in, and fire. That’s it.

Taking a broad view of project selection to include starting, accelerating, and stopping projects, as a leader, what is your role in project selection, or, at a grander scale, initiative selection? When was the last time you initiated a disruptive yet heretical new project from scratch? When was the last time you advocated for incremental funding to accelerate a floundering yet revolutionary project? When was the last time you stopped a tired project that should have been put to rest last year? And because the projects are the only thing that generates revenue for your company, how do you feel about all that?

Without your active advocacy and direct involvement, it’s likely the disruptive project won’t see the light of day. Without you to listen to the complaints of heresy and actively disregard them, the organization will block the much-needed disruption. Without your brazen zeal, it’s likely the insufficiently-funded project won’t revolutionize anything. Without you to put your reputation on the line and decree that it’s time for a revolution, the organization will starve the project and the revolution will wither. Without your critical eye and thought-provoking questions, it’s likely the tired project will limp along for another year and suck up the much-needed resources to fund the disruptions, revolutions, and heresy.

Now, I ask you again. How do you feel about your (in)active (un)involvement with starting projects that should be started, accelerating projects that should be accelerated, and stopping projects that should be stopped?

And with regard to project staffing, when was the last time you stepped in and replaced a project manager who was over their head? Or, when was the last time you set up a recurring meeting with a project manager whose project was in trouble? Or, more significantly, when was the last time you cleared your schedule and ran toward the smoke of an important project on fire? Without your involvement, the over-their-head project manager will drown. Without your investment in a weekly meeting, the troubled project will spiral into the ground. Without your active involvement in the smoldering project, it will flame out.

As a leader, do you have your fingers on the pulse of the most important projects? Do you have the knowledge, skills, and abilities to know which projects need help? And do you have the chops to step in and do what must be done? And how do you feel about all that?

As a leader, do you know enough about the work to provide guidance on a major course change? Do you know enough to advise the project team on a novel approach? Do you have the gumption to push back on the project team when they don’t want to listen to you? As a leader, how do you feel about that?

As a leader, you probably have direct involvement in important hiring and firing decisions. And that’s good. But, as a leader, how much of your time do you spend developing young talent? How many hours per week do you talk to them about the details of their projects and deliverables? How many hours per week do you devote to refactoring troubled projects with the young project managers? And how do you feel about that?

If you want to grow revenue, shape the projects so they generate more revenue. If you want to grow new businesses, advocate for projects that create new businesses. If you need a revolution, start revolutionary projects and protect them. And if you want to accelerate the flywheel, help your best project managers elevate their game.

Image credit: Pixabay

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