Category Archives: Change

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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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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A Tipping Point for Organizational Culture

A Tipping Point for Organizational Culture

GUEST POST from Janet Sernack

Like millions of others globally, I watched with fascination, the sensational and striking spectacle of the ceremony, significant symbolism, spectacular artifacts, and rituals at the recent King of England’s majestic coronation. At the same time, I allowed my mind to wander and wondered how this visually stunning and unrivaled British ceremony would impact the nations and realms’ culture and leadership, today and in the future, wondering if, indeed, it is at a cultural tipping point.

Where it is believed, by some, that the coronation made “two statements of great importance for today’s world about the place of religion in public life and the importance and meaning of the nation”. Acknowledging that such a monumental and marvelous event is indicative of a cultural tipping point, not only for the people it embraces but also for organizations, nations, and realms as a whole, to search for what is meaningful and valued by its people.

Making the connection

My mind wandered and made some obvious connections between the core and common elements that embody both organizational, and national cultural realms – the values, beliefs, assumptions, and mindsets that drive key behaviors and deliver the common implicit messages. As well as the disciplined systems and processes that deliver the results, the rituals that are enacted, and finally, the artifacts whose symbols represent what the culture values.

Maintaining relevance and engagement 

Like the monarchy, what do organizations need to do to maintain relevance and engagement to thrive in unstable and uncertain times, especially when their existence and legacies are being questioned and evaluated by the people they serve?

At a pivotal time when new sets of global, societal, and organizational demands are being made, largely as a result of the fourth industrial revolution, encompassing the convergence of exponential technologies impacting all of us globally.

At the same time, we are all still affected by the consequences of the global pandemic-induced lockdowns, impacting every fabric of our social and civic structures in our world today.

A case study for leveraging cultural tipping points differently 

The coronation of King Charles III provides us with a great case study of an outstanding and remarkable display of English cultural attributes.

This enables us to ask some serious questions about how national and organizational cultures and leadership in times of exponential change, like today, might thrive with uncertainty and co-create solutions to some of the most complex global challenges, by leveraging the range of cultural tipping points differently.

A range of organizational cultural tipping points

We are in effect, experiencing globally a range of cultural tipping points:

  1. At the macro level, according to a recent article here in Australia, where King Charles still resides as our head of state, the local SMH states that this realm is in a state of flux:

“The King is head of state in 15 countries. More than half of the so-called “realm states” are in the Caribbean and most of them are bailing out. Barbados two years ago, Jamaica probably next year. Belize, Grenada, Saint Vincent and the Grenadines are planning their exit as well”.

  1. At the micro level, according to Mc Kinsey & Co, in a recent article “New Leadership for a new era of thriving organizations” stated that organizations and leadership are also in a state of flux:

“Organizations such as Allianz, Haier, Microsoft, and Nucor are transforming their industries with a new organizational approach that seeks to be open, fluid, and adaptable; unleashes the collective energy, passion, and capabilities of its people; reimagines strategy; and focuses on delivering greater value to all stakeholders”.

“Their cultures support a more open, collaborative, and emergent way of working. And the shift to this new kind of model changes the way businesspeople must lead”.

Going back to culture and leadership fundamentals

Because culture and leadership are, according to Edgar H. Schein “two sides of the same coin and cannot understand one without the other” we have to be in charge and focused to intentionally, constructively, and creatively manage their interdependence.

He also states that culture matters because it is a “powerful, tacit, and often unconscious set of forces that determine both our individual and collective behaviors, ways of perceiving, thought patterns, and values”.

If we do not intentionally and strategically take charge, focus, and leverage these forces, we will simply always be at the effect of them, as they take us down the path of least resistance, remain implicit, and will not deliver the results we want and need in a disruptive world.

Going back to culture and leadership fundamentals

Because culture and leadership are, according to Edgar H. Schein “two sides of the same coin and cannot understand one without the other” we have to be in charge and focused to intentionally, constructively, and creatively manage their interdependence.

He also states that culture matters because it is a “powerful, tacit, and often unconscious set of forces that determine both our individual and collective behaviors, ways of perceiving, thought patterns, and values”.

If we do not intentionally and strategically take charge, focus, and leverage these forces, we will simply always be at the effect of them, as they take us down the path of least resistance, remain implicit, and will not deliver the results we want and need in a disruptive world.

Sharing the key messages

My mind then wandered and considered what might be the key messages being communicated by this incredible series of marvelous events, and wondered how relevant and engaging they might be to people today:

  • A coronation signals the conferment of God’s grace upon a ruler,
  • A coronation appoints the king as the Supreme Governor of the Church of England,
  • A coronation is a joyous and celebratory event.

Back to the SMH “The people got what they wanted. The cheers in the Mall, the boulevard built for the adoration of royalty, were real, even if the masses were down on those for the Queen’s Jubilee.”

Impacting the future

It remains to be seen if this powerful, majestic, memorable, and significant once-in-a-lifetime ceremonial event will ultimately help unify or divide the English realm. Which it seems, is facing its own range of unique challenges and a controversial cultural tipping point, ultimately and seriously impacting its future viability.

Back to the SMH “But Charles’s big show might be his last great day. The last dance of a wheeling, brilliant circus that has entertained and beguiled but which soon enough, in its distant realms, will stutter and shrink and reel no more.”

Why does this matter?

This matters today because we are individually, and collectively at a range of social, civic, and organizational cultural tipping points.

Where our organization and leaders are also dancing many of our “last dances”, and “stutter and shrink and reel nor more” because, according to some, we are not strategically focussed on leveraging the culture and leadership basics:

  • Implicitly clarifying values that focus on delivering value that improves the quality of people’s lives that they appreciate and cherish and explicitly making them an active part of corporate life.
  • Ensuring that leaders role model and enact behaviors that demonstrate the values in action, where people are accountable and rewarded by rigorous systems and supportive disciplined, and agile processes.
  • Co-creating powerful sets of rituals, symbols, and artifacts, aligned to the values, that deliver the “new architectures” to create permission, safety, and trust that drive collaborationexperimentation, innovation, inclusion, and sustainability.
  • Communicating engaging and inclusive messages that resonate creativity, respect, and appreciation for people, profit, and the planet.

Shifting the organizational cultural tipping points

It’s time to transform leadership to transform organizations, in ways that are self-aware and inspiring, meaningful and purposeful, equitable and sustainable, with increasing speed, resilience, and efficiency to guide organizational cultures and leadership that:

  • Helps people navigate and balance in-person and remote work, be mentally healthy and well, and make the way for both applied AI and human skills development.
  • Develops new rules for attracting and retaining people, close the capability chasm and walk the talent tightropes to better equip, empower and harness people’s harness collective intelligence to make both the organization and the world better places.
  • Creates, invents, and innovates new ways of thinking, and acting that ultimately shift the range of cultural tipping points to meet new sets of global, societal, and organizational demands and challenges emerging in the 21st century, and lets go of what is no longer relevant to better serve humanity as a whole.

Find out more about our work at ImagineNation™

Find out about our collective, learning products and tools, including The Coach for Innovators, Leaders, and Teams Certified Program, presented by Janet Sernack, is a collaborative, intimate, and deeply personalized innovation coaching and learning program, supported by a global group of peers over 9-weeks, which 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. Find out more about our products and tools.

Image Credit: Pixabay

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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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How Networks Power Transformation

How Networks Power Transformation

GUEST POST from Greg Satell

In February 2004, Viacom announced that it would spin off Blockbuster Video into its own independent company, which gave its CEO, John Antioco, the opportunity to begin addressing the disruptive threat emanating from Netflix head on. He developed a viable strategy, executed it well, but in the end his efforts were for naught.

Around the same time General Stanley McChrystal was tapped to take command of Special Forces in Iraq. Much like Antioco and Blockbuster, he faced a disruptive threat in the form of Al Qaeda that, using unconventional tactics, threatened to thwart his efforts. Unlike Antioco, however, McChrystal succeeded brilliantly.

We tend to think about transformation in terms of strategy and tactics, but if that was all there was to it, Blockbuster would still be thriving today. As I explain in Cascades, the difference between Antioco and McChrystal wasn’t that one had a good plan and the other didn’t, but that McChrystal saw that he had to rewire the networks in his organization.

Why Blockbuster Really Failed

Today, Blockbuster is a cautionary tale, but for all the wrong reasons. When the spinoff was announced, Antioco moved quickly to build an online rental business and remove the late fees that so many found annoying. Later, in 2006, he created the Total Access program that allowed customers rent DVDs online and return them in stores.

The convenience of the Total Access program was something that Netflix couldn’t match and almost immediately Blockbuster began to surpass Netflix in adding new subscribers. Yet within a few months, a compensation dispute arose between Antioco and the corporate raider Carl Icahn, who had gotten control of the company. Antioco left, the new CEO reversed the strategy and Blockbuster declared bankruptcy in 2010.

The tensions had actually been building for some time. Antioco’s shift to the online business made franchisees, many of whom had their life’s savings tied up in Blockbuster stores, uneasy. The changes were also costly, which depressed earnings and made investors and analysts skeptical. The stock price cratered.

It was the low stock price that led Icahn to buy up stock in Blockbuster, a proxy fight that allowed him to take control of the company’s board, the compensation dispute, Antioco’s departure and the reversal of the strategy. What really killed Blockbuster wasn’t external competition, but internal opposition.

Addressing The Internal Struggle

While Antioco framed the challenge Blockbuster faced largely in terms of strategy and tactics, McChrystal saw his task as an internal struggle. His forces were among the best in the world and were winning every battle. Yet somehow, they were losing the war and losing it badly.

As McChrystal would later write, “the world had outpaced us. In the time it took us to move a plan from creation to approval, the battlefield for which the plan had been devised would have changed. By the time it had been implemented, the plan—however ingenious in its initial design—was often irrelevant.”

So instead of trying to come up with better plans, McChrystal sought to change how his organization functioned. The problem, as he saw it, was one of interoperability. His forces needed not only to work with each other, but also partner agencies and other stakeholders, in order to succeed.

“I needed to shift my focus from moving pieces on the board to shaping the ecosystem,” McChrystal would remember. The moves paid off. The tide of the war soon shifted and the forces under his command would achieve their major objectives.

Rewiring Networks

The main difference between Antioco and McChrystal had less to do with their actions than it did with their mindsets. Where Antioco saw his task in terms of planning and execution, McChrystal saw his in terms of connection. “We began to make progress when we started looking at these relationships as just that: relationships— parts of a network, not cogs in a machine or outputs and inputs,” he would later write.

Antioco would take a very different approach. He set up the Blockbuster Online team in a warehouse down the street its Dallas headquarters. That allowed him to pursue the online strategy with little disruption to operations in the core business, but it also allowed suspicion and fear to fester and grow.

McChrystal, on the other hand, moved to forge links anywhere he could. He started embedding intelligence analysts into commando teams and vice versa. Liaison officer positions, traditionally given to marginal performers or those nearing retirement, were now earmarked for the very best operators.

Moves like these slowed down the individual teams — commandos in business suits placed at embassies don’t kill many terrorists — but that wasn’t the point, building networks of trust and interoperability was. Over the next few years, the effectiveness of his organization improved markedly and overall operating efficiency improved by a factor of seventeen.

Rethinking Leadership For A Networked Age

To a large degree, the most important difference between Antioco and McChrystal was how they saw their role as leaders. Antioco was truly a brilliant strategist and had built an enormously successful career devising effective plans and driving efficient execution. He had encountered opposition before, but had always been able to prevail by showing results.

McChrystal came to see things differently. “I began to reconsider the nature of my role as a leader,” he would later write. “The wait for my approval was not resulting in any better decisions, and our priority should be reaching the best possible decision that could be made in a time frame that allowed it to be relevant.

In other words, where Antioco saw a vertical hierarchy for carrying out tasks efficiently, McChrystal saw a horizontal network of connections which needed to be cultivated. Where Antioco built a strong senior management team to drive his strategy, McChrystal forged shared values throughout his organization so that units could act independently.

The truth is that we need to reimagine leadership for a networked age to focus less on driving strategy and tactics and more on widening and deepening connections in networks. Or, as McChrystal put it, “The role of the senior leader was no longer that of a controlling puppet master, but that of an empathetic crafter of culture.

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

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Save on Charting Change Digitally for Two Weeks

Charting Change for an Outstanding 2023

Wow! Exciting news!

From now until May 26, 2023 you can get the digital version (eBook) of my latest best-selling book Charting Change for only $16.99!

Sorry, unfortunately this sale doesn’t have a discount on the hardcover.

I created the Human-Centered Change methodology to help organizations get everyone literally all on the same page for change. The 70+ visual, collaborative tools are introduced in my book Charting Change, including the powerful Change Planning Canvas™. The toolkit has been created to help organizations:

  • Beat the 70% failure rate for change programs
  • Quickly visualize, plan and execute change efforts
  • Deliver projects and change efforts on time
  • Accelerate implementation and adoption
  • Get valuable tools for a low investment

You must go to SpringerLink for this Cyber Sale:

  • The offer is valid until May 26, 2023 on the eBook only

Click here to get this eBook deal

Quick reminder: Everyone can download ten free tools from the Human-Centered Change methodology by going to its page on this site via the link in this sentence, and book buyers can get 26 of the 70+ tools from the Change Planning Toolkit (including the Change Planning Canvas™) by contacting me with proof of purchase.

*This offer is valid for selected English-language Springer & Palgrave softcovers and eBooks and is redeemable on link.springer.com only. Titles affected by fixed book price laws, forthcoming titles and titles temporarily not available on link.springer.com are excluded from this promotion, as are reference works, handbooks, encyclopedias, subscriptions, or bulk purchases. The currency in which your order will be invoiced depends on the billing address associated with the payment method used, not necessarily your home currency. Regional VAT/tax may apply. Promotional prices may change due to exchange rates. This offer is valid for individual customers only. Booksellers, book distributors, and institutions such as libraries and corporations please visit springernature.com/contact-us. This promotion does not work in combination with other discounts or gift cards.






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

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

  1. Rethinking Customer Journeys — by Geoffrey A. Moore
  2. What Have We Learned About Digital Transformation Thus Far? — by Geoffrey A. Moore
  3. Design Thinking Facilitator Guide — by Douglas Ferguson
  4. Building A Positive Team Culture — by David Burkus
  5. Questions Are More Powerful Than We Think — by Greg Satell
  6. 3 Examples of Why Innovation is a Leadership Problem — by Robyn Bolton
  7. How Has Innovation Changed Since the Pandemic? — by Robyn Bolton
  8. 5 Questions to Answer Before Spending $1 on Innovation — by Robyn Bolton
  9. Customers Care About the Destination Not the Journey — by Shep Hyken
  10. Get Ready for the Age of Acceleration — by Robert B. Tucker

BONUS – Here are five more strong articles published in March 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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Unlocking the Power of Imagination

How Humans and AI Can Collaborate for Innovation and Creativity

Unlocking the Power of Imagination

GUEST POST from Teresa Spangler

Imagination is not only the uniquely human capacity to envision that which is not, and, therefore, the foundation of all invention and innovation. In its arguably most transformative and revelatory capacity, it is the power that enables us to empathize with humans whose experiences we have never shared. ~J.K. Rowling

Part I of a 3 Part Series: Simple Strategies

Imagination has always been crucial in human innovation, creativity, and problem-solving. It enables us to envision possibilities beyond the present and find solutions to problems that do not exist yet. 

However, with Artificial Intelligence (AI) advancements, humans must develop their imaginative skills to stay competitive. To achieve that, it is important to understand the eight subsections of imagination – Effectuative, Intellectual or Constructive, Imaginative Fantasy, Empathy, Strategic, Emotional, Dreams, and Memory Reconstruction. Each of these subsections plays a crucial role in the human imagination, and as AI becomes more sophisticated, it will challenge humans to improve their imaginative abilities in each of these areas.

Understanding the Eight Subsections of Imagination

Effectuative Imagination: Effectuative imagination is the ability to imagine the consequences of one’s actions. It enables individuals to plan, make decisions, and predict outcomes. For example, a CEO may use effectuative imagination to anticipate the impact of a new product launch on the company’s financials.

To improve effectuative imagination, humans can:

  • Think about potential consequences before making decisions
  • Analyze data and use it to predict possible outcomes
  • Consider alternative scenarios before deciding on a course of action

Intellectual or Constructive Imagination: Intellectual or constructive imagination is the ability to imagine abstract concepts and ideas. It allows individuals to envision new inventions, theories, and ways of thinking. For example, a scientist may use constructive imagination to develop a new theory that explains a complex natural phenomenon.

To improve intellectual or constructive imagination, humans can:

  • Challenge assumptions and think outside the box
  • Experiment with new ideas and concepts
  • Combine existing ideas and concepts to create new ones

Imaginative Fantasy:  Imaginative fantasy is the ability to create and imagine fantastical worlds and stories. It enables individuals to escape from reality and explore the limits of their imaginations. For example, a writer may use imaginative fantasy to create a new universe for their story.

To improve imaginative fantasy, humans can:

  • Engage in creative activities such as writing, drawing, or painting
  • Read books or watch movies that take them to new worlds
  • Use their imagination to create new stories or scenarios

Empathy:  Empathy is the ability to imagine and understand the emotions and experiences of others. It enables individuals to connect with others more deeply and be more compassionate. For example, a therapist may use empathy to understand their client’s emotions and experiences.

To improve empathy, humans can:

  • Practice active listening and ask questions to understand others better
  • Imagine themselves in other people’s shoes
  • Practice kindness and compassion towards others

 Strategic Imagination:  Strategic imagination is the ability to imagine and plan for the future. It enables individuals to anticipate potential challenges and opportunities and to develop effective strategies. For example, a business leader may use strategic imagination to create a long-term growth plan for their company.

To improve strategic imagination, humans can:

  • Develop a long-term vision for their personal or professional life
  • Identify potential challenges and opportunities and develop strategies to address them
  • Use data and analysis to inform their decisions

Emotional Imagination:  Emotional imagination is the ability to imagine and experience a wide range of emotions. It enables individuals to empathize with others and connect with their emotions. For example, an actor may use emotional imagination to convincingly portray a character’s emotions.

To improve emotional imagination, humans can:

  • Practice mindfulness and self-awareness to understand their own emotions better
  • Engage in creative activities such as writing or acting to explore different emotions
  • Practice empathy to understand other people’s emotions better

Dreams:  Dreams are a manifestation of our subconscious mind and imagination. They enable us to explore our deepest desires, fears, and aspirations. Dreams are also a way for our brains to process and consolidate memories. For example, a person may have a dream about an experience that helps them understand and process their emotions.

To improve dreams and imagination, humans can:

  • Keep a dream journal to record and reflect on their dreams
  • Practice lucid dreaming to control and direct their dreams
  • Engage in creative activities such as writing or drawing to explore dream worlds and scenarios

Memory Reconstruction:  Memory reconstruction is remembering past events and experiences and using our imagination to fill in gaps and create a coherent narrative. It enables individuals to sense their past and create a personal identity. For example, a person may reconstruct childhood memories to understand how past experiences have shaped who they are today.

To improve memory reconstruction and imagination, humans can:

  • Reflect on past experiences and try to understand how they have influenced their life
  • Engage in creative activities such as writing or drawing to explore memories and create new narratives
  • Practice mindfulness to become more aware of their thoughts and feelings

How AI May Challenge Us to Become More Imaginative

As AI becomes more sophisticated, it will challenge humans to improve their imaginative abilities in each of the eight subsections of imagination. Working alongside AI can spark us to new levels of thinking. Consider AI as your partner in growing your own imagination, your creativity and your abilities to be more inventive.

Examples:

  • Effectuative Imagination: AI can analyze data and provide insights humans can use to make better decisions.
  • Intellectual or Constructive Imagination: AI can identify patterns and connections between data sets that humans may not have noticed, leading to new ideas and theories.
  • Imaginative Fantasy: AI can generate creative ideas and scenarios that humans may not have thought of independently. However, imaginative people can raise the bar on creativity by using these AI-generated fantasies.
  • Empathy: AI can analyze social media data and sentiment analysis to understand how people are feeling and to predict future trends.
  • Strategic Imagination: AI can analyze market data and economic indicators to identify potential challenges and opportunities for businesses and organizations.
  • Emotional Imagination: AI can analyze facial expressions and tone of voice to understand people’s emotions and to provide personalized recommendations and support.
  • Dreams: AI can use generative models to create realistic dream scenarios and to help individuals explore and process their subconscious thoughts and emotions.
  • Memory Reconstruction: AI can analyze large data sets and identify patterns and connections humans may not have noticed, leading to new insights and narratives.

Working Alongside AI to Unlock Human Imagination

AI is not a threat to human imagination but rather a tool that can help us unlock our full imaginative potential. By collaborating with AI, humans can gain new insights and perspectives that inform their imaginative processes. Here are some strategies for working alongside AI to unlock human imagination:

  • Use AI-powered tools to analyze data and identify patterns and connections that can inform imaginative processes.
  • Collaborate with AI-powered systems to generate new ideas and scenarios.
  • Use virtual and augmented reality tools to explore new environments and possibilities.
  • Leverage AI-powered chatbots and virtual assistants to provide personalized support and recommendations.
  • Participate in cross-functional teams that include both humans and AI-powered systems.

How Companies Can Support Employee Imagination

Companies have a critical role in supporting their employees’ imaginative skills. By doing so employees will be come more engaged and productive.  Here are a few strategies that companies can use to support employee imagination:

  • Encourage creativity by providing opportunities for employees to explore new ideas and experiment with new approaches.
  • Foster diversity and inclusion by promoting diverse perspectives and experiences and creating a safe and inclusive work environment.
  • Invest in technology and tools that support imaginative work, such as AI-powered systems, virtual and augmented reality tools, and collaborative platforms.
  • Provide learning and development opportunities focusing on imaginative skills, such as creativity, emotional intelligence, and strategic thinking.
  • Encourage collaboration by creating cross-functional teams and promoting a culture of collaboration.

Imagination is essential for the future of innovation and human productivity. The eight subsections of imagination provide a framework for understanding and developing imaginative abilities. As AI becomes more sophisticated, it will challenge humans to improve their imaginative skills in each of these areas. Humans can unlock new ideas and solutions that drive innovation and progress by developing imaginative skills and working alongside AI.

Moreover, individuals can develop their imaginative skills by embracing change, fostering curiosity, developing a growth mindset, practicing mindfulness, collaborating with AI, exploring new forms of art and creativity, practicing divergent thinking, and fostering the eight subsections of imagination.

Companies have a crucial role in supporting their employees’ imaginative skills. They can encourage creativity, foster diversity and inclusion, invest in technology and tools supporting imaginative work, provide learning and development opportunities focusing on imaginative skills, and encourage collaboration.

In the age of AI, humans must strive to maintain their unique skills and abilities. Imagination is a human trait that AI cannot replicate. Developing our imaginative skills and working alongside AI can unlock new opportunities and create a better future for ourselves and the world.

Image credit: Pixabay

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Reasons Change Management Frequently Fails

Reasons Change Management Frequently Fails

GUEST POST from Greg Satell

In 1983, McKinsey consultant Julien Phillips published a paper in the journal Human Resource Management that described an “adoption penalty” for firms that didn’t adapt to changes in the marketplace quickly enough. His ideas became McKinsey’s first change management model that it sold to clients.

So it is notable, to say the least, that in 2015, more than 35 years later, McKinsey found that only 26% of organizational transformations succeed. It’s not hard to see why. While traditional change management models offer sensible frameworks for fairly obvious changes, truly transformational efforts almost always encounter fierce resistance.

That’s an important distinction that leads to a significant difference. As I found when researching my book, Cascades, successful transformations identify resistance from the start and effectively plan to overcome opposition. Clearly, today, when change is so often a matter of survival, traditional change management models are no longer enough.

Preparing For Resistance

The change management industry was developed to solve a particular and discrete problem. While there were clear and coherent models for other critical business functions, such as marketing and finance, there was a relative dearth of models to help drive change. Phillips’ model and those that came after sought to fill that gap.

Yet as the McKinsey data clearly shows, those models have not been widely successful and it’s not hard to see why. Much as any competitive strategy that doesn’t anticipate the response from competitors is doomed to failure, any transformation strategy that doesn’t take into account those who oppose change is unlikely to succeed.

In my research, however, I found that when resistance is anticipated and accounted for, transformational efforts can achieve astounding results. At Wyeth Pharmaceuticals, the team implemented lean manufacturing techniques across 17,000 employees and cut costs by 25%. At Experian, CIO Barry Libenson shifted its entire technological infrastructure to the cloud and improved profitability across the entire company.

What made the difference is that in both cases, those leading the transformation didn’t assume that the changes would be embraced. In fact, just the opposite. They expected resistance and built a plan to overcome it.

Mapping The Terrain

Traditional change management models start with steps that encourage communicating the need for change and building a sense of urgency. Yet that can often backfire. While communication efforts can and often do excite many about the prospect for transformation, they also alert the opposition to step up their efforts to undermine change.

So the first step is to map the terrain upon which the battle for change will be fought (and make no mistake, any significant transformation effort is always a battle). There are two tools, borrowed from nonviolent political movements, that can help you do this: The Spectrum of Allies and the Pillars of Support. Both have been battle tested for decades.

The Spectrum of Allies, helps you identify which people are active or passive supporters of the change you want to bring about, which are neutral and which actively or passively oppose it. Once you are able to identify these groups, you can start mobilizing the most enthusiastic supporters to start influencing the other groups to shift their opinions. You probably won’t ever convince the active opposition, but you can isolate and neutralize them.

The Pillars of Support identifies stakeholder groups that can help bring change about. Some of these may be internal stakeholders, such as business units or functional groups within an organization. However, some of the most important stakeholders are often external, such as customer groups, industry associations, regulators and so on.

At this point, you are still planning, rather than implementing change. Most of all, you are listening and remain respectful of others who don’t hold the same views you do. The information you gather in these early stages will be critical for overcoming resistance later on.

The Myth of A Quick Win

One of the key tenets of change management is the need to achieve some quick, short term wins to help build momentum. The truth is that these types of objectives are often not meaningful to many, if not most, key stakeholders. In fact, they can often signal to those skeptical of change that the initiative is not serious.

In my research, I found that every successful transformation I studied identified a keystone change which had a clear and tangible goal, involved multiple stakeholders and paved the way for greater change down the road. Because these require the involvement of multiple stakeholders, they are never quick or easy.

For example, in the Wyeth transformation noted above, the keystone change was to reengineer factory changeovers, a difficult and complex task. In Experian’s shift to cloud technology, the keystone change was to build internal API’s. During Lou Gerstner’s historic turnaround at IBM in the 90s, he sought to shift the company from a “proprietary stack of technologies” to its “customers’ stack of business processes.”

In each case, key constituencies in the Spectrum of Allies were mobilized to influence key institutional stakeholders in the Pillars of Support. That takes time, patience and no small amount of effort. In some cases, it took a few tries to identify a keystone change that could succeed.

Every Revolution Inspires Its Own Counter-Revolution

Many change management efforts start with a large kickoff, complete with a vigorous communication campaign designed to create a sense of urgency and rally the troops. What’s often overlooked is that these efforts often alert those who are opposed to change that they need to begin undermining change efforts before they gain momentum.

As the change efforts gain momentum, these undermining efforts may quiet somewhat, but they very rarely disappear, even after the goals of the transformation have already been achieved. For example, at Blockbuster Video, initial efforts to address the disruptive threat posed by Netflix were successful, but that strategy was quickly reversed when a new CEO came aboard.

That’s why it’s crucial that you set out from the beginning to survive victory and you do that by rooting your efforts not in specific goals or objectives, but in common values. As Irving Wladawsky-Berger, a key player in IBM’s historic turnaround, told me, “Because the transformation was about values first and technology second, we were able to continue to embrace those values as the technology and marketplace continued to evolve.”

Perhaps most of all, you need to remember that there’s a reason that the vast majority of transformational efforts fail: Change is hard and it can’t be easily managed. Yet history has shown that it can be achieved, even under the worst conditions and against the greatest odds, if you learn to anticipate and overcome those who would seek to undermine it.

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

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