Category Archives: Innovation

What Einstein Got Wrong

Defining Design

What Einstein Got Wrong - Defining Design

GUEST POST from Robyn Bolton

“If you can’t explain something simply, you don’t understand it well enough.”Albert Einstein (supposedly)

This is one of my favorite quotes because it’s an absolute gut punch.  You think you know something, probably because you’ve been saying and doing it for years.  Then someone comes along and asks you to explain it, and suddenly, you’re just standing there, mouth agape, gesturing, hoping that this wacky game of charades produces an answer.

This happened to me last Monday.

While preparing to teach a course titled “Design Innovation Lab,” I thought it would be a good idea to define “design” and “innovation.”  I already had a slide with the definition of “innovation” – something new that creates value – but when I had to make one for “design,” my stomach sank.

My first definition was “pretty pictures,” which is both wrong and slightly demeaning because designers do that and so much more.  My second definition, I know it when I see it, was worse.

So, I Googled the definition.

Then I asked ChatGPT.

Then I asked some designer friends.

No one had a simple definition of Design.

As the clock ticked closer to 6:00 pm, I defaulted to a definition from the International Council of Design:

“Design is a discipline of study and practice focused on the interaction between a person – a “user” – and the man-made environment, taking into account aesthetic, functional, contextual, cultural, and societal considerations.  As a formalized discipline, design is a modern construct.”

Before unveiling this definition to a classroom full of degreed designers pursuing their Master’s in Design, I asked them to define “design.”

It went as well as all my previous attempts.  Lots of thoughts and ideas.  Lots of “it’s this but not that.”  Lots of debate about whether it needs to have a purpose for it to be distinct from art.

Absolutely no simple explanations or punchy definitions.

So, when I unveiled the definition from the very official-sounding International Council of Design, we all just stared at it.

“Yes, but it’s not quite right.”

“It is all those things, but it’s more than just those things.”

“I guess it is a ‘modern construct’ when you think of it as a job, but we’ve done it forever.”

As we squinted and puzzled, what was missing slowly dawned on us. 

There was nothing human in this definition. There was no mention of feelings or empathy, life or nature, connection or community, aspirations or dreams.

In this definition, designers consider multiple aspects of an unnatural environment in creating something to be used. Designers are simply the step before mass production begins.

Who wants to do that?

Who wants to be a stop, however necessary, on a conveyor belt of sameness?

Yet that’s what we become when we strip the humanness out of our work.

Humans are messy, emotional, unpredictable, irrational, challenging, and infuriating.

We’re also interesting, creative, imaginative, hopeful, kind, curious, hard-working, and resilient.

When we try to strip away human messiness to create MECE (mutually exclusive, collectively exhaustive) target markets and customer personas, we strip away the human we’re creating for.

When we ignore unpredictable and irrational feedback on our ideas, we ignore the creative and imaginative answers that could improve our ideas.

When we give up on a challenge because it’s more difficult than expected and doesn’t produce immediate results, we give up hope, resiliency, and the opportunity to improve things.

I still don’t have a simple definition of design, but I know that one that doesn’t acknowledge all the aspects of a human beyond just being a “user” isn’t correct.

Even if you explain something simply, you may not understand it well enough.

Image Credit: Misterinnovation.com

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Innovation or Not – Liquid Trees

Innovation or Not - Liquid Trees

GUEST POST from Art Inteligencia

Innovation has become the driving force behind progress in today’s world. From cutting-edge technologies to groundbreaking scientific discoveries, we are continuously witnessing the power of human ingenuity. However, amidst all the revolutionary advancements, it is essential to question what truly defines innovation. Do we only consider groundbreaking and high-tech inventions as innovative? Or can innovation be found in something as simple as nature itself?

One such marvel of nature that challenges our perception of innovation is the concept of liquid trees. Unlike traditional trees, liquid trees are not rooted in the ground, nor do they possess a solid structure. Instead, they are composed of water particles suspended in the air, forming swirling, fluid-like formations. And while this might seem like a whimsical notion, it holds the potential to revolutionize our understanding of sustainability and environmental conservation.

Liquid trees, also known as aeroplankton or aeroplanktic organisms, are a prominent example of biomimicry – the imitation of nature’s designs to solve human problems. By emulating the way these organisms harness air and water for sustenance, we can develop innovative solutions for resource management and energy production.

One of the most striking aspects of liquid trees is their ability to extract moisture from the atmosphere. Just like traditional trees draw water from the ground through their roots, these ethereal counterparts can collect airborne water particles and convert them into a usable form. This unique trait makes liquid trees a potential solution for regions facing water scarcity.

Imagine a world where buildings are equipped with liquid tree-inspired systems that capture and condense atmospheric water vapor, providing a sustainable source of freshwater. Not only would this technology alleviate the pressure on depleted groundwater reserves but it would also reduce our carbon footprint by eliminating the need for energy-intensive water treatment processes.

Aeroplankton also holds promise in the realm of renewable energy. The flow and circulation of air around liquid trees are akin to those in wind turbines, presenting an opportunity for wind energy innovation. By mimicking the dynamics of these floating organisms, we can design wind turbines that are more efficient and less intrusive to the environment. Imagine harnessing clean energy from the gentle swaying of these ethereal structures, without the need for expansive wind farms blotting the landscape.

Moreover, liquid trees can serve as a reminder of the beauty and resilience found in nature. In an increasingly urbanized world, where concrete jungles replace lush green forests, we often lose sight of the wonders around us. The concept of liquid trees challenges us to appreciate the elegance and adaptability of nature’s designs and incorporate them into our own technological advancements.

Innovation is not limited to high-tech gadgets or intricate algorithms. It encompasses any creative solution that pushes the boundaries of what we perceive as possible. Liquid trees serve as a humbling reminder that sometimes the most ingenious ideas can be found in the simplest of forms.

As we strive for sustainable solutions and progress towards a greener future, let us not overlook the lessons nature has to offer. By embracing the concept of liquid trees and exploring its applications, we can redefine innovation and lead the way towards a more harmonious coexistence with our environment. After all, the true test of innovation lies in our ability to find inspiration in the natural world and create something truly extraordinary.

But There is Another Kind of Liquid Tree

Innovation continues to surprise us with extraordinary ideas that challenge our perception of what is possible. One such remarkable innovation in the field of sustainability is the Liquid 3 photo-bioreactor. Drawing inspiration from liquid trees and biomimicry, these photo-bioreactors take the concept of harnessing renewable energy from nature to new heights.

Liquid 3 photo-bioreactors, also known as algae bioreactors, capitalize on the remarkable ability of photosynthetic microorganisms to convert sunlight and carbon dioxide into valuable products, including biofuels and high-protein biomass. These bioreactors consist of transparent acrylic tubes filled with a suspension of algae, which are then immersed in a liquid medium.

The process of photosynthesis takes place within the tubes as sunlight penetrates, providing energy for the algae to drive their growth. Depending on the specific intent, the algae can be engineered to produce specific compounds or simply utilized to capture and store carbon dioxide from the atmosphere, reducing greenhouse gas emissions.

One of the most significant advantages of Liquid 3 photo-bioreactors is their efficiency in converting sunlight into energy. Unlike traditional biofuel production methods, which require vast land areas for growing crops like corn or sugarcane, these bioreactors can be installed in smaller spaces, such as urban rooftops or alongside buildings’ exteriors. This vertical integration allows for the absorption of sunlight from various angles, optimizing energy capture.

Furthermore, Liquid 3 photo-bioreactors have shown impressive productivity compared to traditional crop-based systems. Algae in these bioreactors can multiply rapidly, thanks to their highly efficient nutrient absorption and growth rates, resulting in higher yields of valuable biomass. Additionally, algae cultivation does not compete with food crops for arable land, making it a sustainable alternative for biofuel and food production.

The potential applications for Liquid 3 photo-bioreactors extend beyond energy production. They have shown promise in wastewater treatment, where algae can effectively remove pollutants and excess nutrients from water bodies. This approach not only cleanses the water but also turns a waste product into a valuable resource, as the harvested algae can be further processed for various applications, including fertilizer production or bioplastics.

Liquid 3 photo-bioreactors emphasize the interconnectedness between sustainable energy production, environmental stewardship, and economic benefits. By utilizing these bioreactors, we can reduce our reliance on fossil fuels, mitigate climate change by capturing carbon dioxide, and generate valuable by-products that contribute to a circular economy.

As with any innovation, there are challenges to overcome. Scaling up the production and implementation of Liquid 3 photo-bioreactors remains an area of active research and development. Identifying the ideal algae strains for maximum productivity, optimizing the system’s design and operational parameters, and ensuring cost-effectiveness are all key factors to consider.

However, the potential benefits far outweigh the challenges. Liquid 3 photo-bioreactors offer a promising solution to the pressing global issues of energy sustainability, carbon emissions, and waste management. By embracing this innovative approach, we can make substantial progress towards a greener and more sustainable future.

In conclusion, Liquid 3 photo-bioreactors intertwine the principles of biomimicry, renewable energy, and circular economy. By emulating the efficiency of natural photosynthesis, these bioreactors bring us closer to achieving a harmonious and sustainable coexistence with our environment – absorbing carbon dioxide and adding oxygen to urban centers equivalent to the impact of two ten-year old trees. As we continue to explore and develop these remarkable technologies, let us remain open to the lessons nature has to offer, using innovation as a catalyst for positive change.

It will be interesting to see whether either of these types of liquid trees catch on. I guess only time will tell.

So, what do you think? Innovation or not?

Image credit: Liquid 3


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Crossing the Possibility Space

Crossing the Possibility Space

GUEST POST from Dennis Stauffer

Innovators are those who push themselves to move from what’s currently possible to what they hope will become possible—if they can make it happen. Doing that means crossing the space—that possibility space—between the two.

It’s the space Steve Jobs entered when he developed the iPhone, and where Elon Musk ventured when he launched SpaceX. It’s the space Florence Nightingale stepped into when she invented modern nursing and hospital cleanliness. The space Marie Curie crossed when she discovered radioactivity. And, that Muhammad Yunus was exploring when he created microloans to support third world entrepreneurs.

It’s a space roamed by countless inventors, scientists, entrepreneurs, change agents, social reformers—and perhaps people like you. This possibility space can be treacherous. Failure is common. Many never make it across. But for those with the courage to try and the personal capabilities to navigate through it, it’s an exciting journey and the rewards are immense.
To innovate successfully, you must be willing to step into that space, and know how to make your way through it. That often requires innovation tools and strategies. But above all, it takes a certain mindset—an innovator mindset.

An innovator mindset is your ticket across this possibility space, and the compass you use to navigate your way through it. It’s a mindset that helps you decide what you need to pack for the trip and how to find your way past those inevitable obstacles. It’s believing in the value of imagination over knowledge, in the courage to take risks, in a clear-eyed assessment of the challenges ahead, and an openness to understanding the world in entirely new ways.

What possibility space would you like to cross? In your work and in your life? What are your dreams and aspirations? Are you ready to get started?

A video version of this post is included below:

Image Credit: Pixabay

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An Innovation Rant: Just Because You Can Doesn’t Mean You Should

An Innovation Rant: Just Because You Can Doesn’t Mean You Should

GUEST POST from Robyn Bolton

Why are people so concerned about, afraid of, or resistant to new things?

Innovation, by its very nature, is good.  It is something new that creates value.

Naturally, the answer has nothing to do with innovation.

It has everything to do with how we experience it. 

And innovation without humanity is a very bad experience.

Over the last several weeks, I’ve heard so many stories of inhuman innovation that I have said, “I hate innovation” more than once.

Of course, I don’t mean that (I would be at an extraordinary career crossroads if I did).  What I mean is that I hate the choices we make about how to use innovation. 

Just because AI can filter resumes doesn’t mean you should remove humans from the process.

Years ago, I oversaw recruiting for a small consulting firm of about 50 people.  I was a full-time project manager, but given our size, everyone was expected to pitch in and take on extra responsibilities.  Because of our founder, we received more resumes than most firms our size, so I usually spent 2 to 3 hours a week reviewing them and responding to applicants.  It was usually boring, sometimes hilarious, and always essential because of our people-based business.

Would I have loved to have an AI system sort through the resumes for me?  Absolutely!

Would we have missed out on incredible talent because they weren’t out “type?”  Absolutely!

AI judges a resume based on keywords and other factors you program in.  This probably means that it filters out people who worked in multiple industries, aren’t following a traditional career path, or don’t have the right degree.

This also means that you are not accessing people who bring a new perspective to your business, who can make the non-obvious connections that drive innovation and growth, and who bring unique skills and experiences to your team and its ideas.

If you permit AI to find all your talent, pretty soon, the only talent you’ll have is AI.

Just because you can ghost people doesn’t mean you should.

Rejection sucks.  When you reject someone, and they take it well, you still feel a bit icky and sad.  When they don’t take it well, as one of my colleagues said when viewing a response from a candidate who did not take the decision well, “I feel like I was just assaulted by a bag of feathers.  I’m not hurt.  I’m just shocked.”

So, I understand ghosting feels like the better option.  It’s not.  At best, it’s lazy, and at worst, it’s selfish.  Especially if you’re a big company using AI to screen resumes. 

It’s not hard to add a function that triggers a standard rejection email when the AI filters someone out.  It’s not that hard to have a pre-programmed email that can quickly be clicked and sent when a human makes a decision.

The Golden Rule – do unto others as you would have done unto you – doesn’t apply to AI.  It does apply to you.

Just because you can stack bots on bots doesn’t mean you should.

At this point, we all know that our first interaction with customer service will be with a bot.  Whether it’s an online chatbot or an automated phone tree, the journey to a human is often long and frustrating. Fine.  We don’t like it, but we don’t have a choice.

But when a bot transfers us to a bot masquerading as a person?  Do you hate your customers that much?

Some companies do, as my husband and I discovered.  I was on the phone with one company trying to resolve a problem, and he was in a completely different part of the house on the phone with another company trying to fix a separate issue.  When I wandered to the room where my husband was to get information that the “person” I was talking to needed, I noticed he was on hold.  Then he started staring at me funny (not as unusual as you might think).  Then he asked me to put my call on speaker (that was unusual).  After listening for a few minutes, he said, “I’m talking to the same woman.”

He was right.  As we listened to each other’s calls, we heard the same “woman” with the same tenor of voice, unusual cadence of speech, and indecipherable accent.  We were talking to a bot.  It was not helpful.  It took each of us several days and several more calls to finally reach humans.  When that happened, our issues were resolved in minutes.

Just because innovation can doesn’t mean you should allow it to.

You are a human.  You know more than the machine knows (for now).

You are interacting with other humans who, like you, have a right to be treated with respect.

If you forget these things – how important you and your choices are and how you want to be treated – you won’t have to worry about AI taking your job.  You already gave it away.

Image Credit: Pexels

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The Eureka Moment Fallacy

The Eureka Moment Fallacy

GUEST POST from Greg Satell

In 1928, Alexander Fleming arrived at his lab to find that a mysterious mold had contaminated his Petri dishes and was eradicating the bacteria colonies he was trying to grow. Intrigued, he decided to study the mold. That’s how Fleming came to be known as the discoverer of penicillin.

Fleming’s story is one that is told and retold because it reinforces so much about what we love about innovation. A brilliant mind meets a pivotal moment of epiphany and — Eureka! — the world is forever changed. Unfortunately, that’s not really how things work. It wasn’t true in Fleming’s case and it won’t work for you.

The truth is that innovation is never a single event, but a process of discovery, engineering and transformation, which is why penicillin didn’t become commercially available until 1945 (and the drug was actually a different strain of the mold than Fleming had discovered). We need to stop searching for Eureka moments and get busy with the real work of innovating.

Learning To Recognize And Define Problems

Before Fleming, there was Ignaz Semmelweis and to understand Fleming’s story it helps to understand that of his predecessor. Much like Fleming, Semmelweis was a bright young man of science who had a moment of epiphany. In Semmelweis’s case, he was one of the first to realize that infections could spread from doctor to patient.

That simple insight led him to institute a strict regime of hand washing at Vienna General Hospital. Almost immediately, the incidence of deadly childbed fever dropped precipitously. Yet his ideas were not accepted at the time and Semmelweis didn’t do himself any favors by refusing to format his data properly or to work collaboratively to build support for his ideas. Instead, he angrily railed against the medical establishment he saw as undermining his work.

Semmelweis would die in an insane asylum, ironically from an infection he contracted under care, and never got to see the germ theory of disease emerge from the work of people like Louis Pasteur and Robert Koch. That’s what led to the study of bacteriology, sepsis and Alexander Fleming growing those cultures that were contaminated by the mysterious mold.

When Fleming walked into his lab on that morning in 1928, he was bringing a wealth of experiences to the problem. During World War I, he had witnessed many soldiers die from sepsis and how applying antiseptic agents to the wound often made the problem worse. Later, he found that nasal secretions inhibited bacterial growth.

So when the chance discovery of penicillin happened, it was far from a single moment, but rather a “happy accident” that he had spent years preparing for.

Combining Domains

Today, we remember Fleming’s discovery of penicillin as a historic breakthrough, but it wasn’t considered to be so at the time. In fact, when it was first published in the British Journal of Experimental Pathology, nobody really noticed. The truth is that what Fleming discovered couldn’t have cured anybody. It was just a mold secretion that killed bacteria in a Petri dish.

Perhaps even more importantly, Fleming was ill-equipped to transform penicillin into something useful. He was a pathologist that largely worked alone. To transform his discovery into an actual cure, he would need chemists and other scientists, as well as experts in fermentation, manufacturing, logistics and many other things. To go from milliliters in the lab to metric tons in the real world is no trivial thing.

So Fleming’s paper lay buried in a scientific journal for ten years before it was rediscovered by a team led by Howard Florey and Ernst Chain at the University of Oxford. Chain, a world-class biochemist, was able to stabilize the penicillin compound and another member of the team, Norman Heatley, developed a fermentation process to produce it in greater quantities.

Because Florey and Chain led a larger team in a bigger lab they were also had the staff and equipment to perform experiments on mice, which showed that penicillin was effective in treating infections. However, when they tried to cure a human, they found that they were not able to produce enough of the drug. They simply didn’t have the capacity.

Driving A Transformation

By the time Florey and Chain had established the potential of penicillin it was already 1941 and England was at war, which made it difficult to find funding to scale up their work. Luckily, Florey had done a Rhodes Scholarship in the United States and was able to secure a grant to travel to America and continue the development of penicillin with US-based labs.

That collaboration produced two more important breakthroughs. First, they were able to identify a more powerful strain of the penicillin mold. Second, they developed a fermentation process utilizing corn steep liquor as a medium. Corn steep liquor was common in the American Midwest, but virtually unheard of back in England.

Still, they needed to figure out a way to scale up production and that was far beyond the abilities of research scientists. However, the Office of Scientific Research and Development (OSRD), a government agency in charge of wartime research, understood the potential of penicillin for the war effort and initiated an aggressive program, involving two dozen pharmaceutical companies, to overcome the challenges.

Working feverishly, they were able to produce enough penicillin to deploy the drug for D-Day in 1944 and saved untold thousands of lives. After the war was over, in 1945, penicillin was made commercially available, which touched off a “golden age” of antibiotic research and new drugs were discovered almost every year between 1950 and 1970.

Innovation Is Never A Single Event

The story of Fleming’s Eureka! moment is romantic and inspiring, but also incredibly misleading. It wasn’t one person and one moment that changed the world, but the work of many over decades that made an impact. As I explain in my book, Cascades, it is small groups, loosely connected, but united by a shared purpose that drive transformational change.

In fact, the development of penicillin involved not one, but a series of epiphanies. First, Fleming discovered penicillin. Then, Florey and Chain rediscovered Fleming’s work. Chain stabilized the compound, Heatley developed the fermentation process, other scientists identified the more powerful strain and corn steep liquor as a fermentation medium. Surely, there were many other breakthroughs involving production, logistics and treatment that are lost to history.

This is not the exception, but the rule. The truth is that the next big thing always starts out looking like nothing at all. For example, Jim Allison, who recently won the Nobel Prize for his development of cancer immunotherapy, had his idea rejected by pharmaceutical companies, much like the medical establishment dismissed Semmelweis back in the 1850s.

Yet Allison kept at it. He continued to pound the pavement, connect and collaborate with others and that’s why today he his hailed as a pioneer and a hero. That’s why we need to focus less on inventions and more on ecosystems. It’s never a single moment of Eureka! that truly changes the world, but many of them.

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

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Do you prize novelty or certainty?

Do you prize novelty or certainty?

GUEST POST from Mike Shipulski

When you follow the best practice, by definition your work is not new. New work is never done the same way twice. That’s why it’s called new.

Best practices are for old work. Usually, it’s work that was successful last time. But just as you can never step into the same stream twice, when you repeat a successful recipe it’s not the same recipe. Almost everything is different from last time. The economy is different, the competitors are different, the customers are in a different phase of their lives, the political climate is different, interest rates are different, laws are different, tariffs are different, the technology is different, and the people doing the work are different. Just because work was successful last time doesn’t mean that the old work done in a new context will be successful next time. The most important property of old work is the certainty that it will run out of gas.

When someone asks you to follow the best practice, they prioritize certainty over novelty. And because the context is different, that certainty is misplaced.

We have a funny relationship with certainty. At every turn, we try to increase certainty by doing what we did last time. But the only thing certain with that strategy is that it will run out of gas. Yet, frantically waving the flag of certainty, we continue to double down on what we did last time. When we demand certainty, we demand old work. As a company, you can have too much “certainty.”

When you flog the teams because they have too much uncertainty, you flog out all the novelty.

What if you start the design review with the question “What’s novel about this project?” And when the team says there’s nothing novel, what if you say “Well, go back to the drawing board and come back with some novelty.”? If you seek out novelty instead of squelching it, you’ll get more novelty. That’s a rule, though not limited to novelty.

A bias toward best practices is a bias toward old work. And the belief underpinning those biases is the belief that the Universe is static. And the one thing the Universe doesn’t like to be called is static. The Universe prides itself on its dynamic character and unpredictable nature. And the Universe isn’t above using karma to punish those who call it names.

Image credit: Pixabay

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The Biggest Challenge for Innovation is Organizational Inertia

The Biggest Challenge for Innovation is Organizational Inertia

GUEST POST from Stefan Lindegaard

I often talk about organizational inertia being the biggest obstacle for innovation but if this is true for your organization what should you look out for? Here’s my take.

  1. Aligning with organizational goals and strategy: Innovation teams need to ensure that their ideas and initiatives are aligned with the broader goals and strategy of the organization. This can be challenging if there is a lack of clear communication or alignment between the innovation team and other parts of the organization.
  2. Gaining support and buy-in: Innovation teams often need to gain support and buy-in from others within the organization in order to move forward with their ideas. This can be difficult if there is resistance to change or a lack of understanding of the value of the team’s ideas.
  3. Overcoming cultural barriers and resistance to change: Many organizations have entrenched cultures and practices that can be resistant to change. This can make it difficult for innovation teams to gain support and buy-in for their ideas, and can even lead to resistance or pushback from others within the organization.
  4. Navigating organizational structure and processes: Innovation teams may face challenges related to the structure and processes of their organization, such as bureaucratic red tape or a lack of clear decision-making processes.
  5. Generating new and creative ideas: Innovation teams need to constantly come up with fresh ideas, which can be a challenging and pressure-filled task.
  6. Delivering results quickly: In today’s fast-paced business environment, innovation teams often face pressure to deliver results quickly, which can be difficult if their ideas require a significant amount of time and resources to develop.
  7. Communicating and collaborating effectively: Innovation teams often need to work closely with others, including other teams, departments, and even external partners. This can be challenging if team members have different backgrounds, perspectives, and communication styles.
  8. Operating within constraints: Innovation teams often have to work within the constraints of limited budgets, resources, and other factors, which can make it difficult to pursue new ideas and initiatives.

Overall, these challenges can make it difficult for innovation teams to be effective and successful in driving innovation within their organizations.

How to address this is very much related the specific situation of an organization and in particular the root causes they deal with.

There is, however, no doubt that this has to dealt with from the top down in order to release the full potential of innovation for the organization.

Image Credit: Stefan Lindegaard, Pixabay

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Your Innovation is Dictated by Who You Are & What You Do

Your Innovation is Dictated by Who You Are & What You Do

GUEST POST from Robyn Bolton

Using only three words, how would you describe your company?

Better yet, what three words would your customers use to describe your company?

These three words capture your company’s identity. They answer, “who we are” and “what business we’re in.”  They capture a shared understanding of where customers allow you to play and how you take action to win. 

Everything consistent with this identity is normal, safe, and comfortable.

Everything inconsistent with this identity is weird, risky, and scary.

Your identity is killing innovation.

Innovation is something new that creates value.

Identity is carefully constructed, enduring, and fiercely protected and reinforced.

When innovation and identity conflict, innovation usually loses.

Whether the innovation is incremental, adjacent, or radical doesn’t matter. If it conflicts with the company’s identity, it will join the 99.9% of innovations that are canceled before they ever launch.

Your identity can supercharge innovation.

When innovation and identity guide and reinforce each other, it doesn’t matter if the innovation is incremental, adjacent, or radical.  It can win.

Identity-based Innovation changes your perspective. 

We typically think about innovation as falling into three types based on the scope of change to the business model:

  1. Incremental innovations that make existing offerings better, faster, and cheaper for existing customers and use our existing business model
  2. Adjacent innovations are new offerings in new categories, appeal to new customers, require new processes and activities to create or use new revenue models
  3. Radical innovations that change everything – offerings, customers, processes and activities, and revenue models

These types make sense IF we’re perfectly logical and rational beings capable of dispassionately evaluating data and making decisions.  SPOILER ALERT: We’re not.  We decide with our hearts (emotions, values, fears, and desires) and justify those decisions with our heads (logic and data).

So, why not use an innovation-typing scheme that reflects our humanity and reality?

That’s where Identity-based Innovation categories come in:

  1. Identity-enhancing innovations reinforce and strengthen people’s comfort and certainty in who they are and what they do relative to the organization.  “Organizational members all ‘know’ what actions are acceptable based on a shared understanding of what the organization represents, and this knowledge becomes codified u a set of heuristics about which innovative activities should be pursued and which should be dismissed.”
  2. Identity-stretching innovations enable and stretch people’s understanding of who they are and what they do in an additive, not threatening, way to their current identities.
  3. Identity-challenging innovations are threats and tend to occur in one of two contexts:
    • Extreme technological change that “results in the obsolescence of a product market or the convergence of multiple product markets.” (challenges “who we are”)
    • Competitors or new entrants that launch new offerings or change the basis of competition (challenges “what we do”)

By looking at your innovations through the lens of identity (and, therefore, people’s decision-making hearts), you can more easily identify the ones that will be supported and those that will be axed.

It also changes your results.

“Ok, nerd,” you’re probably thinking.  “Thanks for dragging me into your innovation portfolio geek-out.”

Fair, but let me illustrate the power of this perspective using some examples from P&G.

OfferingBusiness-Model TypesIdentity-based Categories
Charmin Smooth TearIncremental
Made Charmin easier to tear
Identity-enhancing
Reinforced Charmin’s premium experience
SwifferAdjacent
New durable product in an existing category (floor cleaning)
Identity-enhancing
Reinforced P&G’s identity as a provider of best-in-class cleaning products
Tide Dry CleanersRadical
Moved P&G into services and uses a franchise model
Identity-stretching
Dry cleaning service is consistent with P&G’s identity but stretches into providing services vs. just products

Do you see what happened on that third line?  A Radical Innovation was identity-stretching (not challenging), and it’s in the 0.1% of corporate innovations that launched!  It’s in 22 states!

The Bottom Line

If you look at innovation in the same way you always have, through the lens of changes to your business model, you’ll get the same innovation results you always have.

If you look at innovation differently, through the lens of how it affects personal and organizational identity, you’ll get different results.  You may even get radical results.

Image Credit: Unsplash

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

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

  1. The Malcolm Gladwell Trap — by Greg Satell
  2. Where People Go Wrong with Minimum Viable Products — by Greg Satell
  3. Our People Metrics Are Broken — by Mike Shipulski
  4. Why You Don’t Need An Innovation Portfolio — by Robyn Bolton
  5. Do you have a fixed or growth mindset? — by Stefan Lindegaard
  6. Building a Psychologically Safe Team — by David Burkus
  7. Customer Wants and Needs Not the Same — by Shep Hyken
  8. The Hard Problem of Consciousness is Not That Hard — by Geoffrey A. Moore
  9. Great Coaches Do These Things — by Mike Shipulski
  10. How Not to Get in Your Own Way — by Mike Shipulski

BONUS – Here are five more strong articles published in August 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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Twelve Digital Disruptions of Your Sales Cycle

Twelve Digital Disruptions of Your Sales Cycle

GUEST POST from Geoffrey A. Moore

The good news for a salesperson selling into a disrupted industry is that the forces of change are bringing net new budget dollars to the table. The bad news is, the budgets have not yet landed. In effect, then, there are two kinds of sales opportunities to target. You can go after the landed budgets, the incumbent ones, knowing that they are under assault and will be dwindling, but also knowing that at present they can be deployed quickly and readily. Or, one can go after the much larger budgets that have not yet landed, the ones that will power the future of the target industry and your company’s role within it, but with the knowledge that this is a time-consuming effort that requires a completely different approach from the normal sales motion. Basically then, you can make quota in the short term while marginalizing your company’s future, or you can build a platform for the future while putting quota at much higher risk.

Of course, what we need here is an and not an or. And that is possible, provided executive leadership and compensation programs acknowledge this challenge openly and segment the field of play accordingly. The key distinction is simple. Selling into undisrupted industries requires to you to compete to consume budget, whereas in a disrupted one, you must create to consume budget. The first activity is conducted with middle managers charged with deploying operational budgets as efficiently as possible. The second is conducted with executives seeking to reallocate investment assets to meet the new challenge as effectively as possible. As just noted, these are two very different sales motions, and the challenge facing many sales teams today is that, like it or not, they have to do both, and do both well, if their companies are going to succeed.

The Impact of Digital Disruption on the Sales Cycle:

Here are twelve ways in which selling into a digitally disrupted sector calls for a radically different approach from what marketing, sales, and service teams are used to:

  1. Conventional lead generation does not work. It is based on hooking up with mid-level managers who have influence or authority over RFPs and budgets already in place. These people have no influence or authority over sales cycles involving redeployment of assets into new areas. All they will do is steer you to the old regime. Pursuing leads here will ensure you miss the next wave. And cold calling can’t succeed either. Executives employ people called administrative assistants for the express purpose of blocking your call. Instead you need to enable referrals, where a peer or trusted contact of the target executive enables the introduction.
  2. Product narratives don’t work. They are based on having an established view of the problem and of the competitive set. This is very much the case in non-disrupted industries but never so in disrupted ones. So PowerPoint presentations and demos don’t serve. All they do is disappoint and cause executives to redirect the salesperson back to a mid-level manager and an ever-diminishing established budget. Instead you need problem narratives, stories that surface the critical changes under way and that resonate with the business leaders undergoing them. That’s what the early conversations in the sales cycle need to be about.
  3. We need thought leadership here, people! Executives in disrupted industries are hungry for frameworks that can help them diagnose their new situation, envision a novel solution, and engage with peers to discuss their ideas. Slick slogans and asking “What’s keeping you up at night?” won’t cut it. But any vendor, be it a start-up or an established enterprise, who comes with a useful framework will get a good hearing, and the one whose framework gets adopted gets to orchestrate the others in building out a solution architecture. Narratives really, really matter.
  4. Relationship marketing is fundamental. Executives in disrupted industries are open to forming new relationships and are looking for a trusted advisor. To compete for this role salespeople need to monitor industry developments, personal information, and workflow status in real time so they can bring key issues and ideas to the table in a timely manner.
  5. Let’s get vertical, vertical! Digital disruption is unfolding on an industry by industry basis and manifests itself in ways unique to each one. That means that the early framing conversations need to be couched in the language and issues of the target industry, not the technologies and themes of the vendor’s industry. This requires marketing to develop a whole new set of muscles and sales to learn a new foreign language, which calls in turn for some judicious hiring of insider expertise and a sales training capability to get field teams up to speed fast.
  6. Sales and marketing need to map out a new customer journey. All sales cycles are built on an underlying model of the customer journey. These become the backbone of workflows through any CRM system. The problem in a disrupted industry is that the conventional sales cycle maps are all wrong because the journey is taking a very different route. Sales teams need to work with their counterparts in marketing to map out the new journey and align their sales cycles and their CRM systems to it.
  7. Proof-of-Concepts are necessary but not sufficient. To teams used to selling into non-disrupted markets POCs feel like going back in time, but they are key for disrupted industries where neither the problem diagnosis nor the solution prescription is well established. The challenge here is to manage them judiciously. Conservative forces inside the target customer will try to slow roll things here to buy time, whereas visionary sponsors may be too quick to want to leap to the full implementation. The trick is to make sure they are neither an obstacle to sales progress nor become a destination in and of themselves.
  8. Professional services organizations need to lean in. They have to provide insightful pre-sales consulting on a low-latency, cost-efficient basis, while still maintaining billable utilization via their other work. In addition, they have to take the lead in the first few implementations, where their role is often as not to be the chief spear catcher, and then be prepared to package up their expertise and hand it over to partners just when the projects become predictable and profitable. Running professional services inside a technology company is an incredibly important and almost always thankless endeavor. But as the next point makes clear, it is core.
  9. All offers are services-led—period. In a disrupted industry no one buys a product. The early adopters buy projects and the pragmatic majority buys solutions. Both of these offer types are services led. That means all proposals need to be services led as well. That is, they cannot be about products or even ROI; they have to be about changes under way and the responses needed to address them properly.
  10. All sales motions are land-and-expand. No responsible executive underwrites a massive re-engineering undertaking with a single check, even when they already have established a deep relationship of trust with a particular vendor. Most follow a three-phase approach, where the first phase is to prove feasibility, the second, confirm desirability, and the third, achieve scalability. There is no place in disrupted industries for fly-by selling of any kind.
  11. Customers have to step up too. This means that sales teams need to learn diplomatic ways for holding the customer’s feet to the fire, provoking them when they are not rising to the occasion, and holding them accountable when they do. Often this is best done through third parties, so creating communities of interest and sponsoring dialogs among peers become critical sales enablers.
  12. Change management becomes an integral part of every implementation. Getting the new paradigm adopted is key not only to the customer’s success but to the vendor’s continued expansion within the account as well. Service organizations and partners need to be engaged, enlisted, monitored, and compensated accordingly, and this initially at least has to be orchestrated by the sales team who has the winning proposal.

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

Image Credit: Pixabay

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