Category Archives: Innovation

Who is More Creative – Women or Men?

753 Studies Have the Answer

Who is More Creative – Women or Men?

GUEST POST from Robyn Bolton

You were born creative. As an infant, you had to figure many things out—how to get fed or changed, get help or attention, and make a onesie covered in spit-up still look adorable.  As you grew older, your creativity grew, too.  You drew pictures, wrote stories, played dress-up, and acted out imaginary stories.

Then you went to school, and it was time to be serious.  Suddenly, creativity had a time and place.  It became an elective or a hobby.  Something you did just enough of to be “well-rounded” but not so much that you would be judged irresponsible or impractical.

When you entered the “real world,” your job determined whether you were creative.  Advertising, design, marketing, innovation?  Creative.  Business, medicine, law, engineering?  Not creative.

As if Job-title-a-determinant-of-creativity wasn’t silly enough, in 2022, a paper was published in the Journal of Applied Psychology that declared that, based on a meta-analysis of 259 studies (n=79,915), there is a “male advantage in creative performance.”

Somewhere, Don Draper, Pablo Picasso, and Norman Mailer high-fived.

But, as every good researcher (and innovator) knows, the headline is rarely the truth.  The truth is that it’s contextual and complicated, and everything from how the original studies collected data to how “creativity” was defined matters.

But that’s not what got reported.  It’s also not what people remember when they reference this study (and I have heard more than a few people invoke these findings in the three years since publication).

That is why I was happy to see Fortune report on a new study just published in the Journal of Applied Psychology. The study cites findings from a meta-analysis of 753 studies (n=265,762 individuals) that show men and women are equally creative. When “usefulness (of an idea) is explicitly incorporated in creativity assessment,” women’s creativity is “stronger.”

Somewhere, Mary Wells LawrenceFrida Kahlo, and Virginia Woolf high-fived.

Of course, this finding is also contextual.

What makes someone “creative?”

Both studies defined creativity as “the generation of novel and useful ideas.”

However, while the first study focused on how context drives creativity, the second study looked deeper, focusing on two essential elements of creativity: risk-taking and empathy. The authors argued that risk-taking is critical to generating novel ideas, while empathy is essential to developing useful ideas.

Does gender influence creativity?

It can.  But even when it does, it doesn’t make one gender more or less creative than the other.

Given “contextual moderators” like country-level culture, industry gender composition, and role status, men tend to follow an “agentic pathway” (creativity via risk-taking), so they are more likely to generate novel ideas.

However, given the same contextual moderators, women follow a “communal pathway” (creativity via empathy), so they are more likely to generate useful ideas.

How you can use this to maximize creativity

Innovation and creativity go hand in hand. Both focus on creating something new (novel) and valuable (useful).  So, to maximize innovation within your team or organization, maximize creativity by:

  • Explicitly incorporate novelty and usefulness in assessment criteria.  If you focus only on usefulness, you’ll end up with extremely safe and incremental improvements.  If you focus only on novelty, you’ll end up with impractical and useless ideas.
  • Recruit for risk-taking and empathy.  While the manifestation of these two skills tends to fall along gender lines, don’t be sexist and assume that’s always the case.  When seeking people to join your team or your brainstorming session, find people who have demonstrated strong risk-taking or empathy-focused behaviors and invite them in.
  • Always consider the context.  Just as “contextual moderators” impact people’s creative pathways, so too does the environment you create.  If you want people to take risks, be vulnerable, and exhibit empathy, you must establish a psychologically safe environment first.  And that starts with making sure there aren’t any “tokens” (one of a “type”) in the group.

Which brings us back to the beginning.

You ARE creative.

How will you be creative today?

Image credit: Unsplash

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We Need to Solve the Productivity Crisis

We Need to Solve the Productivity Crisis

GUEST POST from Greg Satell

When politicians and pundits talk about the economy, they usually do so in terms of numbers. Unemployment is too high or GDP is too low. Inflation should be at this level or at that. You get the feeling that somebody somewhere is turning knobs and flicking levers in order to get the machine humming at just the right speed.

Yet the economy is really about our well being. It is, at its core, our capacity to produce goods and services that we want and need, such as the food that sustains us, the homes that shelter us and the medicines that cure us, not to mention all of the little niceties and guilty pleasures that we love to enjoy.

Our capacity to generate these things is determined by our productive capacity. Despite all the hype about digital technology creating a “new economy,” productivity growth for the past 50 years has been tremendously sluggish. If we are going to revive it and improve our lives we need to renew our commitment to scientific capital, human capital and free markets.

Restoring Scientific Capital

In 1945, Vannevar Bush, delivered a report, Science, The Endless Frontier, that argued that the US government needed to invest in “scientific capital” and through basic research and scientific education. It would set in motion a number of programs that would set the stage for America’s technological dominance during the second half of the century.

Bush’s report led to the development of America’s scientific infrastructure, including agencies such as the National Science Foundation (NSF), National Institutes of Health (NIH) and DARPA. Others, such as the National Labs and science programs at the Department of Agriculture, also contribute significantly to our scientific capital.

The results speak for themselves and returns on public research investment have been shown to surpass those in private industry. To take just one example, it has been estimated that the $3.8 billion invested in the Human Genome Project resulted in nearly $800 billion in economic impact and created over 300,000 jobs in just the first decade.

Unfortunately, we forgot those lessons. Government investment in research as a percentage of GDP has been declining for decades, limiting our ability to produce the kinds of breakthrough discoveries that lead to exciting new industries. What passes for innovation these days displaces workers, but does not lead to significant productivity gains.

So the first step to solving the productivity puzzle would be to renew our commitment to investing in the type of scientific knowledge that, as Bush put it, can “turn the wheels of private and public enterprise.” There was a bill before congress to do exactly that, but unfortunately it got bogged down in the Senate due to infighting.

Investing In Human Capital

Innovation, at its core, is something that people do, which is why education was every bit as important to Bush’s vision as investment was. “If ability, and not the circumstance of family fortune, is made to determine who shall receive higher education in science, then we shall be assured of constantly improving quality at every level of scientific activity,” he wrote.

Programs like the GI Bill delivered on that promise. We made what is perhaps the biggest investment ever in human capital, sending millions to college and creating a new middle class. American universities, considered far behind their European counterparts earlier in the century, especially in the sciences, came to be seen as the best in the world by far.

Today, however, things have gone horribly wrong. A recent study found that about half of all college students struggle with food insecurity, which is probably why only 60% of students at 4-year institutions and even less at community colleges ever earn a degree. The ones that do graduate are saddled with decades of debt

So the bright young people who we don’t starve we are condemning to decades of what is essentially indentured servitude. That’s no way to run an entrepreneurial economy. In fact, a study done by the Federal Reserve Bank of Philadelphia found that student debt has a measurable negative impact on new business creation.

Recommitting Ourselves To Free and Competitive Markets

There is no principle more basic to capitalism than that of free markets, which provide the “invisible hand” to efficiently allocate resources. When market signals get corrupted, we get less of what we need and more of what we don’t. Without vigorous competition, firms feel less of a need to invest and innovate, and become less productive.

There is abundant evidence that is exactly what has happened. Since the late 1970s antitrust enforcement has become lax, ushering in a new gilded age. While digital technology was hyped as a democratizing force, over 75% of industries have seen a rise in concentration levels since the late 1990s, which has led to a decline in business dynamism.

The problem isn’t just monopoly power dominating consumers, either, but also monopsony, or domination of suppliers by buyers, especially in labor markets. There is increasing evidence of collusion among employers designed to keep wages low, while an astonishing abuse of non-compete agreements that have affected more than a third of the workforce.

In a sense, this is nothing new. Adam Smith himself observed in The Wealth of Nations that “Our merchants and master-manufacturers complain much of the bad effects of high wages in raising the price, and thereby lessening the sale of their goods both at home and abroad. They say nothing concerning the bad effects of high profits. They are silent with regard to the pernicious effects of their own gains. They complain only of those of other people.”

Getting Back On Track

In the final analysis, solving the productivity puzzle shouldn’t be that complicated. It seems that everything we need to do we’ve done before. We built a scientific architecture that remains unparalleled even today. We led the world in educating our people. American markets were the most competitive on the planet.

Yet somewhere we lost our way. Beginning in the early 1970s, we started reducing our investment in scientific research and public education. In the early 1980s, the Chicago school of competition law started to gain traction and antitrust enforcement began to wane. Since 2000, competitive markets in the United States have been in serious decline.

None of this was inevitable. We made choices and those choices had consequences. We can make other ones. We can choose to invest in discovering new knowledge, educate our children without impoverishing them, to demand our industries compete and hold our institutions to account. We’ve done these things before and can do so again.

All that’s left is the will and the understanding that the economy doesn’t exist in the financial press, on the floor of the stock markets or in the boardrooms of large corporations, but in our own welfare as well as in our ability to actualize our potential and realize our dreams. Our economy should be there to serve our needs, not the other way around.

— Article courtesy of the Digital Tonto blog
— Image credits: Unsplash

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Are You Continuing to Stop and Start the Hard Way?

Are You Continuing to Stop and Start the Hard Way?

GUEST POST from Mike Shipulski

The stop, start, continue method (SSC) is a simple, yet powerful, way to plan your day, week and year. And though it’s simple, it’s not simplistic. And though it looks straightforward, it’s onion-like in its layers.

Stop, start, continue (SSC) is interesting in that it’s forward-looking, present-looking, and rearward-looking at the same time. And its power comes from the requirement that the three time perspectives must be reconciled with each other. Stopping is easy, but what will start? Starting is easy, unless nothing is stopped. Continuing is easy, but it’s not the right thing if the rules have changed. And starting can’t start if everything continues.

Stop. With SSC, stopping is the most important part. That’s why it’s first in the sequence. When everyone’s plates are full and every meeting is an all-you-can-eat buffet, without stopping, all the new action items slathered on top simply slip off the plate and fall to the floor. And this is double trouble because while it’s clear new action items are assigned, there’s no admission that the carpet is soiled with all those recently added action items.

Here’s a rule: If you don’t stop, you can’t start.
And here’s another: Pros stop, and rookies start.

With continuous improvement, you should stop what didn’t work. But with innovation, you should stop what was successful. Let others fan the flames of success while you invent the new thing that will start a bigger blaze.

Start. With SSC, starting is the easy part, but it shouldn’t be. Resources are finite, but we conveniently ignore this reality so we can start starting. The trouble with starting is that no one wants to let go of continuing. Do everything you did last year and start three new initiatives. Continue with your current role, but start doing the new job so you can get the promotion in three years.

Here’s a rule: Starting must come at the expense of continuing.
And here’s another: Pros do stop, start, continue, and rookies do start, start, start.

Continue. With SSC, continue is underrated. If you’re always starting, it’s because you have nothing good to continue. And if you’ve got a lot of continuing to do, it’s because you’ve got a lot of good things going on. And continuing is efficient because you’re not doing something for the first time. And everyone knows how to do the work and it goes smoothly.

But there’s a dark side to continue – it’s called the status quo. The status quo is a powerful, one-trick pony that only knows how to continue. It hates stopping and blocks all starting. Continuing is the mortal enemy of innovation.

Here’s a rule: Continuing must stop, or starting can’t start.
And here’s another: Pros continue and stop before they start, and rookies start.

SSC is like juggling three balls at once. Just as it’s not juggling unless it’s three balls at the same time, it’s not SSC unless it’s stop, start, continue all done at the same time. And just as juggling two balls at once isn’t juggling, it’s not SSC if it’s just two out of the three. And just as dropping two of the three balls on the floor isn’t juggling, it’s not SSC if it’s starting, starting, starting.

Image credit: Pexels

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Igniting Innovation with Deep Dialogue

Igniting Innovation with Deep Dialogue

GUEST POST from Janet Sernack

I have just returned from a short sabbatical in Bali, Indonesia, a place of unparalleled beauty, lushness, and deep spirituality. Bali invites and fosters opportunities for retreat, reflection, and replenishment and is a vital space for restoration and renewal. As you may know, a sabbatical is an extended period away from work for study, travel, or personal growth. In my case, it was in response to an invitation to attend a deep dialogue session that included high-level leaders from many countries and sectors of society across the Asia Pacific region.  This entailed days spent in deep listening and inquiring processes involving quietening the mind, accessing the heart and respecting the body within a unique environment. It supported people through their change fatigue, unleashed their emotional energy, and sparked collective intelligence to emerge hopefulness, unity, faith, and possibility in the future of humanity.

It allowed people to emerge, diverge, and converge their positive and creative change choices to transform their worlds.

What is deep dialogue?

Dialogue can be defined as “a sustained collective inquiry into the processes, assumptions, and certainties that structure everyday experience”. The word “dialogue” originates from two Greek roots, ‘dia’ and ‘logos’ suggesting “meaning flowing through.”

It’s important to understand that dialogue is not the same as the often unproductive and mechanistic debates we are familiar with. Deep dialogue is a sustained collective inquiry that sparks collective intelligence through a facilitated process that delves into the values, needs, beliefs, thoughts, feelings, assumptions and certainties that shape our everyday experiences, feelings and thoughts about the future.

Deep dialogue is not just a creative conversation; it involves strategic, collective and insightful inquiry, detached observation, attention and intention, and multi-faceted listening processes.

It requires a willingness to suspend and let go of reactive and defensive exchanges and delve into their systemic causes. It helps to spark people’s collective intelligence to create moments of clarity in resolving complex and critical problems creatively and differently.

In contrast with more familiar modes of inquiry, deep dialogue involves an emergence process. It begins without an agenda and a ‘leader’ but with an accomplished facilitator and without a specific task or decision to make.

One key element in fostering productive dialogue is the role of the facilitator. The facilitator’s task is to co-create a collective holding space that encourages participants to disrupt and safely challenge their habitual thinking processes. This approach is based on the understanding that our problems cannot be solved using the same thinking that created them.

Knowing that we can’t keep on producing the results we want.

Deep dialogue evokes collective intelligence, opening new possibilities for shared thinking and fostering a sense of authenticity, unity and shared purpose in any endeavour.

What are the barriers that often hinder deep and meaningful dialogue?

The constant, relentless impact of accelerating change, disruption, and uncertainty, as well as the ongoing impact of our post-COVID isolation and people’s lack of belonging, never allows or permits us the key moments that enable us to engage in and reap the benefits that deep dialogue offers.

This lack of belonging and isolation are significant barriers to meaningful dialogue that evoke the positive changes we seek in our personal and professional lives.

As a seasoned corporate trainer, facilitator, coach, and consultant, I have observed that many people unconsciously still suffer from emotional overwhelm, causing them to lose their ‘spark’ or emotional energy. They also unconsciously suffer from cognitive overload, with little mental or thinking space to explore the impact of their thoughts and feelings on who they are, which diminishes any positivity, hope, and optimism for themselves, their teams, and organisations today and in the future.

Alternately, it is much easier and more comfortable for some people to be unconsciously reactive, defensive, and singularly focused, never developing their pause power.

By avoiding taking any personal responsibility or being accountable for interrupting their busyness and shifting their inner being, and developing the deliberate calm required to be, think, and act differently in the face of any instability, insecurity, sorrow, or unwellness, they may be experiencing in their hearts and minds.

Upon arrival, I discovered I was also unconsciously doing this despite my regular wellness routine and habits.

During the three-day process, I was encouraged to pay attention and notice how energetically, emotionally, and physically exhausted I felt and how my mind had been kidnapped and overloaded by my unconscious fears and anxiety over the state of the world.

Like many others, I had also unconsciously been wilfully pushing myself as a human doing rather than as a human being.   

This left no space or safe moments for sparking moments of clarity, never mind socialising or connecting with others to spark collective intelligence and consciously effect positive change.

Why is deep dialogue critical in today’s uncertain and disrupted world?

Fortunately, I was supported to enter and engage in deep dialogue, which allowed our group of global leaders to safely interrupt our ‘busyness’, stop, and emerge a range of vital and subtle moments.  

To cultivate and nurture our inner awareness by retreating and reflecting through mindfulness, contemplation, meditation, and silence.  

It awakened us to become conscious of the subtle world that connects our unique cognitive and emotional inner structures of thoughts and feelings to the outer world we mostly unconsciously created and experienced. 

It was a powerful, transformative experience for every one of us.

Because when we change, the world changes.

Choosing to cross the bridge consciously

We can engage in deep dialogue when we are empowered, enabled and equipped to stop, pause, retreat, and reflect.

By being curious, compassionate, and courageous in opening our hearts, minds, and will, we can spark regeneration, replenishment, and renewal of the range of options, choices, and intentions.

We can cross the bridge, individually and collectively, to re-create or co-create a compelling, sustainable, inclusive, and equitable future for everyone.

Anyone can be proactive and evoke creative sparks collectively and collaboratively to unleash our options, choices, and intentions by being in the present and bridging the past with a desirable future.

It is foundational to creating, inventing, and innovating our futures and reclaiming our inner dignity and power over our lives.

To spark our collective intelligence, all leaders must commit to consciously using this moment to create what is possible rather than reacting and passively accepting what might appear inevitable to some of us.

Please find out more about our work at ImagineNation™.

Please find out about our collective learning products and tools, including The Coach for Innovators, Leaders, and Teams Certified Program, presented by Janet Sernack, it is a collaborative, intimate, and profoundly personalised innovation coaching and learning program supported by a global group of peers over 9-weeks, and can be customised as a bespoke corporate learning program.

It is a blended and transformational change and learning program that will give you a deep understanding of the language, principles, and applications of an ecosystem focus, human-centric approach, and emergent structure (Theory U) to innovation, and upskill people and teams and develop their future fitness, within your unique innovation context. Please find out more about our products and tools.

Image Credit: Pixabay

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I Sent AI a Survey

… and the Results Were Brilliant … and Dangerous

I sent AI a survey and the results were brilliant and dangerous

GUEST POST from Robyn Bolton

AI is everywhere: in our workplaces, homes, schools, art galleries, concert halls, and even neighborhood coffee shops.  We can’t seem to escape it.  Some hope it will unlock our full potential and usher in an era of creativity, prosperity, and peace. Others worry it will eventually replace us. While both outcomes are extreme, if you’ve ever used AI to conduct research with synthetic users, the idea of being “replaced” isn’t so wild.

For the past month, I’ve beta-tested an AI research tool that allows you to create surveys, specify segments of respondents, send the survey to synthetic respondents (AI-generated personas), and get results within minutes. 

Sound too good to be true?

Here are the results from my initial test:

  • 150 respondents in 3 niche segments (50 respondents each)
  • 51 questions, including ten open-ended questions requiring short prose responses
  • 1 hour to complete and generate an AI executive summary and full data set of individual responses, enabling further analysis

The Tool is Brilliant

It took just one hour to gather data that traditional survey methods require a month or more to collect, clean, and synthesize. Think of how much time you’ve spent waiting for survey results, checking interim data, and cleaning up messy responses. I certainly did and it made me cry.

The qualitative responses were on-topic, useful, and featured enough quirks to seem somewhat human.  I’m pretty sure that has never happened in the history of surveys.  Typically, respondents skip open-ended questions or use them to air unrelated opinions.

Every respondent completed the entire survey!  There is no need to look for respondents who went too quickly, chose the same option repeatedly, or abandoned the effort altogether.  You no longer need to spend hours cleaning data, weeding out partial responses, and hoping you’re left with enough that you can generate statistically significant findings.

The Results are Dangerous

When I presented the results to my client, complete with caveats about AI’s limitations and the tool’s early-stage development, they did what any reasonable person would do – they started making decisions based on the survey results.

STOP!

As humans, we want to solve problems.  In business, we are rewarded for solving problems.  So, when we see something that looks like a solution, we jump at it.

However, strategic or financially significant decisions should never rely ona single data source. They are too complex, risky, and costly.  And they definitely shouldn’t be made based on fake people’s answers to survey questions!

They’re Also Useful.

Although the synthetic respondents’ data may not be true, it is probably directionally correct because it is based on millions and maybe billions of data points.  So, while you shouldn’t make pricing decisions based on data showing that 40% of your target consumers are willing to pay a 30%+ premium for your product, it’s reasonable to believe they may be willing to pay more for your product.

The ability to field an absurdly long survey was also valuable.  My client is not unusual in their desire to ask everything they may ever need to know for fear that they won’t have another chance to gather quantitative data (and budgets being what they are, they’re usually right).  They often ignore warnings that long surveys lead to abandonment and declining response quality. With AI, we could ask all the questions and then identify the most critical ones for follow-up surveys sent to actual humans.

We Aren’t Being Replaced, We’re Being Spared

AI consumer research won’t replace humans. But it will spare us the drudgery of long surveys filled with useless questions, months of waiting for results, and weeks of data cleaning and analysis. It may just free us up to be creative and spend time with other humans.  And that is brilliant.

Image credit: Microsoft Copilot

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Coping with the Chasm

Coping with the Chasm

GUEST POST from Geoffrey A. Moore

I’ve been talking about crossing the chasm incessantly for over thirty years, and I’m not likely to stop, but it does beg the question, how should you operate when you are in the chasm? What is the chasm itself about, and what actions is it likely to reward or punish?

The chasm is a lull in the Technology Adoption Life Cycle, one that comes after the enthusiasts and visionaries have made their splash and before the pragmatists are willing to commit. At this time the new category is on the map, people are talking about it, often quite enthusiastically, but no one has budgeted for it as yet. That means that conventional go-to-market efforts, based on generating and pursuing qualified leads with prospects who have both budget and intent to purchase, cannot get traction. It does not mean, however, that they won’t entertain sales meetings and demos. They actually want to learn more about this amazing new thing, and so they can keep your go-to-market engine humming with activity. They just won’t buy anything.

Crossing the Chasm says it is time for you to select a beachhead market segment with a compelling reason to buy and approach them with a whole product that addresses an urgent unsolved problem. All well and good, but what if you don’t know enough about the market (or your own product for that matter) to make a sound choice? What if you are stuck in the chasm and have to stay there for a while? What can you do?

First of all, take good care of the early adopter customers you do have. Give them more service than you normally would, in part because you want them to succeed and be good references, but also because in delivering that service, you can get a closer look at their use cases and learn more about the ones that might pull you out of the chasm.

Second, keep your go-to-market organization lean and mean. You cannot sell your way out of the chasm. You cannot market your way out either. The only way out is to find that targetable beachhead segment with the compelling use case that they cannot address through any conventional means. This is an exercise in discovery, so your go-to-market efforts need to be provocative enough to get the meeting (this is where thought leadership marketing is so valuable) and your sales calls need to be intellectually curious about the prospect’s current business challenges (and not presentations about how amazing your company is or flashy demos to show off your product). In short, in the chasm, you are a solution looking for a problem.

Third, get your R&D team directly in contact with the customer, blending engineering, professional services, and customer success all into one flexible organization, all in search of the beachhead use case and the means for mastering its challenges. You made it to the chasm based on breakthrough technology that won the hearts of enthusiasts and visionaries, but that won’t get you across. You have to get pulled out of the chasm by prospective customers who will make a bet on you because they are desperate for a new approach to an increasingly vexing problem, and you have made a convincing case that your technology, product, talent, and commitment can fill the bill.

Finally, let’s talk about what you should not do. You cannot perform your way out of the chasm. You have no power. So, this is not a time to focus on execution. Instead, you have to find a way to increase your power. In the short term, you can do this through consulting projects—you have unique technology power that people want to consume; they just don’t want to consume through a product model at this time. They are happy to pay for bespoke projects, however, and that is really what the Early Market playbook is all about. Of course, projects don’t scale, so they are not a long-term answer, but they do generate income, and they do keep you in contact with the market. What you are looking for is solution power, tying your technology power to a specific use case in a specific segment, one that you could deliver on a repeatable basis and get you out of the chasm. Often these use cases are embedded in bespoke projects, just a part of the visionary’s big picture, but with more than enough meat on the bone to warrant a pragmatist’s attention.

Sooner or later you have to make a bet. You can recognize a good opportunity by the following traits:

  • There is budget to address the problem, and it is being spent now.
  • The results the prospect is getting are not promising and, if anything, the situation is deteriorating.
  • You know from at least one of your projects that you can do a lot better.

That’s about all the data you are going to get. That’s why we call crossing the chasm a high-risk, low-data decision. But it beats staying in the chasm by a long shot.

That’s what I think. What do you think?

Image Credit: Microsoft Copilot

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ISO Innovation Standards

The Good, the Bad, and the Missing

ISO Innovation Standards

GUEST POST from Robyn Bolton

In 2020, the International Standards Organization, most famous for its Quality Management Systems standard, published ISO 56000Innovation Management—Fundamentals and Vocabulary. Since then, ISO has released eight additional innovation standards. 

But is it possible to create international standards for innovation, or are we killing creativity?

That’s the question that InnoLead founder and CEO Scott Kirsner and I debated over lunch a few weeks ago.  Although we had heard of the standards and attended a few webinars, but we had never read them or spoken with corporate innovators about their experiences.

So, we set out to fix that.

Scott convened an all-star panel of innovators from Entergy, Black & Veatch, DFW Airport, Cisco, and a large financial institution to read and discuss two ISO Innovation Standards: ISO 56002, Innovation management – Innovation management systems – Requirements and ISO 56004, Innovation Management Assessment – Guidance.

The conversation was honest, featured a wide range of opinions, and is absolutely worth your time to watch

Here are my three biggest takeaways.

The Standards are a Good Idea

Innovation doesn’t have the best reputation.  It’s frequently treated as a hobby to be pursued when times are good and sometimes as a management boondoggle to justify pursuing pet ideas and taking field trips to fun places.

However, ISO Standards can change how innovation is perceived and supported.

Just as ISO’s Quality Management Standards established a framework for quality, the Innovation Management Standards aim to do the same for innovation. They provide shared fundamentals and a common vocabulary (ISO 56000), requirements for innovation management systems (ISO 56001 and ISO 56002), and guidance for measurement (ISO 56004), intellectual property management (ISO 56005), and partnerships (ISO 56003). By establishing these standards, organizations can transition innovation from a vague “trust me” proposition to a structured, best-practice approach.

The Documents are Dangerous

However, there’s a caveat: a little knowledge can be dangerous. The two standards I reviewed were dense and complex, totaling 56 pages, and they’re among the shortest in the series. Packed with terminology and suggestions, they can overwhelm experienced practitioners and mislead novices into thinking they have How To Guide for success.

Innovation is contextual.  Its strategies, priorities, and metrics must align with the broader organizational goals.  Using the standards as a mere checklist is more likely to lead to wasted time and effort building the “perfect” innovation management system while management grows increasingly frustrated by your lack of results.

The Most Important Stuff is Missing

Innovation is contextual, but there are still non-negotiables:   

  • Leadership commitment AND active involvement: Innovation isn’t an idea problem. It’s a leadership problem.  If leadership delegates innovation, fails to engage in the work, and won’t allocate required resources, you’re efforts are doomed to fail.
  • Adjacent and Radical Innovations require dedicated teams: Operations and innovation are fundamentally different. The former occurs in a context of known knowns and unknowns, where experience and expertise rule the day. The latter is a world of unknown unknowns, where curiosity, creativity, and experimentation are required. It is not reasonable to ask someone to live in both worlds simultaneously.
  • Innovation must not be a silo: Innovation cannot exist in a silo. Links must be maintained with the core business, as its performance directly impacts available resources and influences the direction of innovation initiatives.

These essential elements are mentioned in the standards but are not clearly identified. Their omission increases the risk of further innovation failures.

Something is better than nothing

The standards aren’t perfect.  But one of the core principles of innovation is to never let perfection get in the way of progress. 

Now it’s time to practice what we preach by testing the standards in the real world, scrapping what doesn’t work, embracing what does, and innovating and iterating our way to better.

Image credit: Pixabay

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Building Competence Often More Important Than a Vision

Building Competence Often More Important Than a Vision

GUEST POST from Greg Satell

In 1993, when asked about his vision for the failing company he was chosen to lead, Lou Gerstner famously said, “The last thing IBM needs right now is a vision.” What he meant was that if IBM couldn’t figure out how to improve operations to the point where it could start making money again, no vision would matter.

Plenty of people have visions. Elizabeth Holmes had one for Theranos, but its product was a fraud and the company failed. Many still believe in Uber’s vision of “gig economy” taxis, but even after more than 10 years and $25 billion invested, it still loses billions. WeWork’s proven business model became a failure when warped by a vision.

The truth is that anyone can have a vision. Look at any successful organization, distill its approach down to a vision statement and you will easily be able to find an equal or greater success that does things very differently. There is no silver bullet. Successful leaders are not the ones with the most compelling vision, but those who build the skills to make it a reality.

Gandhi’s “Himalyan Miscalculation”

When Mahatma Gandhi returned to India in 1915, after more than two decades spent fighting for Indian rights in South Africa, he had a vision for the future of his country. His view, which he laid out in his book Hind Swaraj, was that the British were only able to rule because of Indian cooperation. If that cooperation were withheld, the British Raj would fall.

In 1919, when the British passed the repressive Rowlatt Acts, which gave the police the power to arrest anyone for any reason whatsoever, he saw an opportunity to make his vision a reality. He called for a nationwide campaign of civil disobedience, called a hartal, in which Indians would refuse to work or do business.

At first, it was a huge success and the country came to a standstill. But soon things spun wildly out of control and eventually led to the massacre at Amritsar, in which British soldiers left hundreds dead and more than a thousand wounded. He would later call the series of events his Himalayan Miscalculation and vowed never to repeat his mistake.

What Gandhi realized was that his vision was worthless without people trained in his Satyagraha philosophy and capable of implementing his methods. He began focusing his efforts on indoctrinating his followers and, a decade later, set out on the Salt March with only about 70 of his most disciplined disciples.

This time, he triumphed in what is remembered as his greatest victory. In the end, it wasn’t Gandhi’s vision, but what he learned along the way that made him a historic icon.

The Real Magic Behind Amazon’s 6-Page Memo

We tend to fetishize the habits of successful people. We probe for anomalies and, when we find something out of the ordinary, we praise it as not only for its originality, but consider it to be the source of success. There is no better example of this delusion than Jeff Bezos’s insistence on using six-page memos rather than PowerPoint in meetings at Amazon.

There are two parts to this myth. First is the aversion to PowerPoint, which most corporate professionals use, but few use well. Second, the novelty of a memo, structured in a particular way, as the basis for structuring a meeting. Put them together and you have a unique ritual which, given Amazon’s incredible success, has taken on legendary status.

But delve a little deeper and you find it’s not the memos themselves, but Amazon’s writing culture that makes the difference. When you look at the company, which thrives in such a variety of industries, there are a dizzying array of skills that need to be integrated to make it work smoothly. That doesn’t just happen by itself.

What Jeff Bezos has done is put an emphasis on communication skills, in general and writing in particular. Amazon executives, from the time they are hired, learn that the best way to get ahead in the company is to learn how to write with clarity and power. They hone that skill over the course of their careers and, if they are to succeed, must learn to excel at it.

Anyone can ban PowerPoint and mandate memos. Building top-notch communication skills across a massive enterprise, on the other hand, is not so easy.

The Real Genius Of Elon Musk

In 2007, an ambitious entrepreneur launched a new company with a compelling vision. Determined to drive the shift from fossil fuels to renewables, he would create an enterprise to bring electric cars to the masses. A master salesman, he was able to raise hundreds of millions of dollars as well as the endorsement of celebrities and famous politicians.

Yet the entrepreneur wasn’t Elon Musk and the company wasn’t Tesla. The young man’s name was Shai Agassi and his company, Better Place, failed miserably within a few years. Despite all of the glitz and glamour he was able to generate, the basic fact was that Agassi knew nothing about building cars or the economics of lithium-ion batteries.

Musk, on the other hand, did the opposite. He did not attempt to build a car for the masses, but rather for Silicon Valley millionaires who wouldn’t need to rely on a Tesla to bring the kids to soccer practice, but could use it to zoom around and show off to their friends. That gave Musk the opportunity to learn how to manufacture cars efficiently and effectively. In other words, to build competency.

When we have a big vision, we tend to want to search out the largest addressable market. Unfortunately, that is where you’ll find stiff competition and customers who are already fairly well-served. That’s why it’s almost always better to identify a hair-on-fire use case—something that a small subset of customers want or need so badly they almost literally have their hair on fire—and scale up from there.

As Steve Blank likes to put it, “no business plan survives first contact with a customer.” Every vision is wrong. Some are off by a little and some are off by a lot. But they’re all wrong in some way. The key to executing on a vision is by identifying vulnerabilities early on and then building the competencies to overcome them.

Why So Many Visions Become Delusions

When you look at the truly colossal business failures of the last 20 years, going back to Enron and LTCM at the beginning of the century to the “unicorns” of today, a common theme is the inability to make basic distinctions between visions and delusions. Delusions, like myths, always contain some kernel of truth, but dissipate when confronted with real world problems.

Also underlying these delusions is a mistrust of experts and the establishment. After all, if a fledgling venture has the right idea then, almost by definition, the establishment must have the wrong idea. As Sam Arbesman pointed out in The Half Life of Facts, what we know to be true changes all the time.

Yet that’s why we need experts. Not to give us answers, but to help us ask better questions. That’s how we can find flaws in our ideas and learn to ask better questions ourselves. Unfortunately recent evidence suggests that “founder culture” in Silicon Valley has gotten so out of hand that investors no longer ask hard questions for fear of getting cut out of deals. \

The time has come for us to retrench, much like Gerstner did a generation ago, and recommit ourselves to competence. Of course, every enterprise needs a vision, but a vision is meaningless without the ability to achieve it. That takes more than a lot of fancy talk, it requires the guts to see the world as it really is and still have the courage to try to change it.

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

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Why Neglecting New Hire Ideas Hurts Revenue

The Cost of Silence

Why Neglecting New Hire Ideas Hurts Revenue

GUEST POST from Robyn Bolton

Stop me if this sounds familiar. A new hire bounces into your office and, with all the joy and enthusiasm of a new puppy, rattles off a list of ideas. You smile and, just like with new puppies, explain why their ideas won’t work, and encourage them to be patient and get to know the organization. 

Congratulations!  You just cost your company money. Not because the new hire’s idea was the silver bullet you’ve been seeking but because you taught them that it’s more critical for them to do their jobs and maintain the status quo than to ask questions and share ideas.

If that seems harsh, read the new research from Harvard Business School professor Amy Edmondson.

Year 1: Rainbows and Unicorns (mostly)

From 2017 through 2021, Dr. Edmonson and her colleagues collected data from over 10,000 physicians.  Using biannual (every two years) surveys, they asked physicians to rate on a 5-point scale how comfortable they felt offering opinions or calling out the mistakes of colleagues or superiors. 

It was little surprise that agreement with statements like “I can report patient safety mistakes without fear of punishment” were highest amongst people with less than one year of service at their employer.

These results all come down to one thing: high levels of psychological safety.

Years 2+: Resignation and Unhappiness

However, psychological safety erodes quickly in the first year because:

  • There’s a gap between words and actions: When new hires join an organization, they believe what they hear about its culture, values, priorities, and openness.  Once they’re in the organization and observe their colleagues’ and superiors’ daily behavior, they experience the disconnect, lose trust, and shift into self-protection mode.
  • Their feedback and ideas are rebuffed: This scenario is described above, but it’s not the only one.  Another common situation occurs when a new hire responds to requests for feedback only to be met with silence or exasperation, a lack of follow-through or follow-up, or is openly mocked or met with harsh pushback
  • Expectations increase with experience: It’s easier to ask questions when you’re new, and no one expects you to know the answers.  Over time, however, you are expected to learn the answers and you no longer feel comfortable asking questions, even if there’s no way you could know the answer.

20 years to regain what was lost in 1

According to Edmondson’s research, it takes up to 20 years to rebuild the safety lost in the first year.

As a leader, you can slow that erosion and accelerate the rebuilding when you:

  • Recognize the Risk: Knowing that new hires will experience a drop in psychological safety, staff them on teams that have higher levels of safety
  • Walk the Talk: Double down on demonstrating the behaviors you want. Immediately act on feedback that points out a gap between your words and actions.
  • Ask questions: Demonstrate your openness by being curious, asking questions, and asking follow-up questions.  As Edmonson writes, “You are training people to contribute by constantly asking questions.”
  • Promises Made = Promises Kept: If you ask for feedback, act on it.  If you ask for ideas, act on some and explain why you’re not executing others.
  • Be Vulnerable: Admit your mistakes and uncertainties.  It sets a powerful example that it’s okay to be imperfect and to ask for help. It also creates an environment for others to do the same.

The Cost of Silence vs. The Cost of Time

Building and maintaining psychological safety takes time and effort.  It takes 5 minutes to listen to and respond to an idea.  It takes hours to ensure new hires join safe teams.  It takes weeks to plan and secure support for post-hackathon ideas. 

But how does that compare to 20 years of lost ideas, improvements, innovations, and revenue?  To 20 years of lost collaboration, productivity, and peak effectiveness? To 20 years of slow progress, inefficiency, and cost?

How many of your employees stick around 20 years to give you the chance to rebuild what was lost?

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

Top 10 Human-Centered Change & Innovation Articles of August 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 August’s ten most popular innovation posts:

  1. SpaceX is a Masterclass in Innovation Simplification — by Pete Foley
  2. Secrets to Overcoming Resistance to Change — by David Burkus
  3. Five Things Most Managers Don’t Know About Innovation — by Greg Satell
  4. Are We Doing Social Innovation Wrong? — by Geoffrey A. Moore
  5. Only One Type of Innovation Will Win the Future — by Greg Satell
  6. What Your Website Reveals About Your Brand — by Howard Tiersky
  7. The Coming Leadership Confidence Crisis — by Robyn Bolton
  8. Adjacent Innovation is the Key to Growth and Risk — by Robyn Bolton
  9. Bringing Emotional Energy and Creative Thinking to AI — by Janet Sernack
  10. Delivering Customer Value is the Key to Success — by Mike Shipulski

BONUS – Here are five more strong articles published in July 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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