Tag Archives: Business Transformation

What Playing the Flute Taught Me About Business Growth

GUEST POST from Robyn Bolton

Ideas and insights can emerge from the most unexpected places. My mom was a preschool teacher, and I often say that I learned everything I needed to know about managing people by watching her wrangle four-year-olds. But it only recently occurred to me that the most valuable business growth lessons came from my thoroughly unremarkable years playing the flute in middle school.

6th Grade: Following the Manual and Falling Flat

Sixth grade was momentous for many reasons, one being that that was when students could choose an instrument and join the school band. I chose the flute because my friends did, and there was a rumor that clarinets gave you buck teeth—I had enough orthodontic issues already.

Each week, our “jill of all trades” teacher gathered the flutists together and guided us through the instructional book until we could play a passable version of Yankee Doodle. I practiced daily, following the book and playing the notes, but the music was lifeless, and I was bored.

7th Grade: Finding Context and Direction

In seventh grade, we moved to full band rehearsals with a new teacher trained to lead an entire band (he was also deaf in one ear, which was, I think, a better qualification for the job than his degree). Hearing all the instruments together made the music more interesting and I was more motivated to practice because I understood how my part played in the whole. But I was still a very average flutist.

To help me improve, my parents got me a private flute teacher. Once a week, Mom drove me to my flute teacher’s house for one-on-one tutoring. She corrected mistakes when I made them, showed me tips and tricks to play faster and breathe deeper, and selected music I enjoyed playing. With her help, I became an above-average flutist.

Post-Grad: Five Business Truths from Band Class

I stopped playing in the 12th grade. Despite everyone’s efforts, I was never exceptional—I didn’t care enough to do the work required.

Looking back, I realized that my mediocrity taught me five crucial lessons that had nothing to do with music:

Don’t do something just because everyone else is. I chose the flute because my friends did. I didn’t choose my path but followed others—that’s why the music was lifeless.
Following the instruction manual is worse than doing nothing. You can’t learn an instrument from a book. Are you sharp or flat? Too fast or slow? You don’t know, but others do (but don’t say anything).
Part of a person is better than all of a book. Though spread thin, the time my teachers spent with each instrumental section was the difference between technically correct noise and tolerable music.
A dedicated teacher beats a distracted one. Having someone beside me meant no mistake went uncorrected and no triumph unrecognized. She knew my abilities and found music that stretched me without causing frustration.
If you don’t want to do what’s required, be honest about it. I stopped wanting to play the flute in 10th grade but kept going because it was easier to maintain the status quo. In hindsight, a lot of time, money, and effort would have been saved if I stopped playing when I stopped caring.

The Executive Orchestra: What Grade Are You In?

How many executives remain in sixth grade—following management fads because of FOMO, buying books, handing them out, and expecting magic? And, when that fails, hiring someone to do the work for them and wondering why the music stops when the contract ends?

How many progress to seventh grade, finding someone who can teach, correct, and celebrate their teams as they build new capabilities?

How do what I should have done in 10th grade and be honest about what they are and aren’t willing to do, spending time and resources on priorities rather than maintaining an image?

More importantly, what grade are you in?

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Job Design as Innovation Strategy

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How Complex Problem-Solving Creates Automation Champions

Job Design as Innovation Strategy

GUEST POST from Robyn Bolton

Imagine a manufacturing company. On the factory floor, machines whirl and grind, torches flare up as welding helmets click closed, and parts and products fall off the line and into waiting hands or boxes, ready to be shipped to customers. Elsewhere, through several doors and a long hallway, you leave the cacophony of the shop floor for the quiet hum of the office. Computers ping with new emails while fingers clickety-clack across the keyboard. Occasionally, a printer whirs to life while forcing someone to raise their voice as they talk to a customer on the other end of the phone.

Now, imagine that you ask each person whether AI and automation will positively or negatively affect their jobs. Who will champion new technology and who will resist it?

Most people expect automation acceptance to be separated by the long hallway, with the office workers welcoming while the factory workers resist.

Most people are wrong.

The Business Case for Problem-Solving Job Design

Last week, I wrote about findings from an MIT study that indicated that trust, not technology, is the leading indicator of whether workers will adopt new AI and automation tools.

But there’s more to the story than that. Researchers found that the type of work people do has a bigger influence on automation perception than where they do it. Specifically, people who engage in work requiring high levels of complex problem-solving alongside routine work are more likely to see the benefit of automation than any other group.

Or, to put it more simply

Net Impact of Automation & New Technology on Your Work

While it’s not surprising that people who perform mostly routine tasks are more resistant than those who engage in complex tasks, it is surprising that this holds true for both office-based and production-floor employees.

Even more notable, this positive perception is significantly higher for complex problem solvers vs. the average across all workers::

Safety: 43% and 41% net positive for office and physical workers, respectively (vs. 32% avg)
Pay: 27% and 25% net positive for physical and office workers, respectively (vs. 3.9% avg)
Autonomy: 33% net positive for office workers (vs. 18% average)
Job security: 25% and 22% net positive for office and physical workers, respectively (vs. 3.5%)

Or, to put it more simply, blend problem-solving into routine-heavy roles, and you’ll transform potential technology resistors into champions.

3 Ways to Build Problem-Solving Into Any Role

The importance of incorporating problem-solving into every job isn’t just a theory – it’s one of the core principles of the Toyota Production System (TPS). Jidoka, or the union of automation with human intelligence, is best exemplified by the andon cord system, where employees can stop manufacturing if they perceive a quality issue.

But you don’t need to be a Six-Sigma black belt to build human intelligence into each role:

Create troubleshooting teams with decision authority
Workers who actively diagnose and fix process issues develop a nuanced understanding of where technology helps versus hinders. Cross-functional troubleshooting creates the perfect conditions for technology champions to emerge.
Design financial incentives around problem resolution
The MIT study’s embedded experiment showed that financial incentives significantly improved workers’ perception of new technologies while opportunities for input alone did not. When workers see personal benefit in solving problems with technology, adoption accelerates.
Establish learning pathways connected to problem complexity
Workers motivated by career growth (+33.9% positive view on automation’s impact on upward mobility) actively seek out technologies that help them tackle increasingly complex problems. Create visible advancement paths tied to problem-solving mastery.

Innovation’s Human Catalyst

The most powerful lever for technology adoption isn’t better technology—it’s better job design. By restructuring roles to include meaningful problem-solving, you transform the innovation equation.

So here’s the million-dollar question every executive should be asking: Are you designing jobs that create automation champions, or are you merely automating jobs as they currently exist?

Image credits: Robyn Bolton and misterinnovation.com (1 of 850+ free quote slides for download)

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Automation Success More About Trust Than Technology

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Automation Success More About Trust Than Technology

GUEST POST from Robyn Bolton

We’ve all seen the apocalyptic headlines about robots coming for our jobs. The AI revolution has companies throwing money at shiny new tech while workers polish their résumés, bracing for the inevitable pink slip. But what if we have it completely, totally, and utterly backward? What if the real drivers of automation success have nothing to do with the technology itself?

That’s precisely what an MIT study of 9,000+ workers across nine countries asserts. While the doomsayers have predicted the end of human workers since the introduction of the assembly line, those very workers are challenging everything we think we know about automation in the workplace.

The Secret Ingredient for Technology ROI

MIT surveyed workers across the manufacturing industry—50% of whom reported frequently performing routine tasks—and found that the majority ultimately welcome automation. But only when one critical condition is present. And it’s one that most executives completely miss while they’re busy signing purchase orders for the latest AI and automation systems.

Trust.

Read that again because while you’re focused on selecting the perfect technology, your actual return depends more on whether your team feels valued and believes you are invested in their safety and professional growth.

Workers Who Trust, Automate

This trust dynamic explains why identical technologies succeed in some organizations and fail in others. According to MIT’s research:

Job satisfaction is the second strongest indicator of technology acceptance, with a 10% improvement that researchers identified as consistently significant across all analytical models
Feeling valued by their employer shows a highly significant 9% increase in positive attitudes toward automation
Trust also consistently predicts automation acceptance, as workers scoring higher on trust measures are significantly more likely to view new technologies positively.

For example, Sam Sayer, an employee at a New Hampshire cutting tool manufacturer, has become an automation champion because his employer helped him experience how factory-floor robots could free him from routine tasks and allow him to focus on more complex problem-solving. “I worked in factories for years before I ever saw a robot. Now I’m teaching my colleagues on the factory floor how to use them.”

This contrasts with an aerospace manufacturer in Ohio that hired a third party to integrate a robot into its warehouse processes. Despite the company’s efforts to position the robot as a teammate, even giving it a name, workers resisted the technology because they didn’t trust the implementation process or see clear personal benefits.

These patterns hold across industries and countries: When workers perceive their employer as invested in their development and well-being, automation initiatives succeed. When that foundation is missing, even the most sophisticated technologies falter.

Four Steps to Convert Resistors to Champions

Whether it’s for the factory floor or the office laptop, if you want ROI and revenue growth from your automation investments, start with your people:

Design roles that connect workers to outcomes: When people see how their input shapes results, they become natural technology allies.
Create visible growth pathways. Workers motivated by career advancement are significantly more likely to embrace new technologies.
Align financial incentives with implementation goals. When workers see the personal benefits of adoption, resistance evaporates faster than free donuts in the break room.
Make safety improvements the leading edge of your technology story. It’s the most universally appreciated benefit of automation.

A Provocative Challenge

Ask yourself this (potentially) uncomfortable question: Are you investing as much in trust as you are in technology?

Because if not, you might as well set fire to a portion of your automation budget right now. At least you’d get some heat from it.

The choice isn’t between technology and workers—it’s between implementations that honor human relationships and those that don’t. The former generates returns; the latter generates résumé updates.

What are you choosing?

Image credit: misterinnovation.com (1 of 850+ free quote slides for download)

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Getting Buy-In for Change Now That Innovation is Dead

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Getting Buy-In for Change Now That Innovation is Dead

GUEST POST from Robyn Bolton

Innovation is undergoing a metamorphosis, and while it may seem like the current goo-stage is the hard part (it’s certainly not easy!), our greatest challenge is still ahead. Because while we may emerge as beautiful butterflies, we still need to get buy-in for change from a colony of skeptical caterpillars who’ve grown weary of transformation talk.

The Old Playbook Is Dead, Too

Picture this: A butterfly lands, armed with PowerPoint slides about “The Future of Leaf-Eating” and projections showing “10x Nectar Collection Potential.” The caterpillars stare blankly, having seen this show before.

The old approach – big presentations, executive sponsorship, and promises of massive returns within 24 months – isn’t just ineffective. It’s harmful. Each failed transformation makes the next one harder, turning your caterpillars more cynical and more determined to cling to their leaves.

The Secret Most Change Experts Miss

Butterflies don’t convince caterpillars to transform by showing off their wings. They create conditions where transformation feels possible, necessary, and safe. Your job isn’t to sell the end state – it’s to help others see their own potential for change.

Here’s how:

Start With the Hungriest Caterpillars

Find those who feel the limitations of their current state most acutely. They’re not satisfied with their current leaf, and they’re curious about what lies beyond. These early adopters become your first chrysalis cohort.

Make it About Their Problems, Not Your Vision

Instead of talking about transformation, focus on specific pain points. “Wouldn’t it be easier to reach that juicy leaf if you could fly?” is more compelling than “Flying represents a paradigm shift in leaf acquisition strategy.”

Build a Network of Proof

Every successful mini-transformation creates evidence that change is possible. When one caterpillar successfully navigates their chrysalis phase, others pay attention. Let your transformed allies tell their stories.

Set Realistic Expectations

Metamorphosis takes time and isn’t always pretty. Be honest about the goo phase – that messy middle where things fall apart before they come together. This builds trust and prepares people for the real journey, not the sanitized version.

Where to Start

Identify your first chrysalis cohort – the people already feeling the limits of their current state
Focus on solving immediate problems that showcase the benefits of change
Document and share small victories, letting others tell their transformation stories
Create realistic timelines that acknowledge both quick wins and longer-term metamorphosis

What’s your experience? Have you successfully guided a transformation without relying on buzzwords and fancy presentations? Drop your stories in the comments.

After all, we’re all just caterpillars and butterflies helping each other find our wings.

Image credit: misterinnovation.com

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Your Innovation Team Doesn’t Have to be Dead

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Your Innovation Team Doesn't Have to be Dead

GUEST POST from Robyn Bolton

When times get tough, the first things most companies cut are the “luxuries.” That includes their innovation teams. But as companies dismantle their labs, teams, and other structures, a crucial question emerges: Who’s working on growth?

Cutting innovation teams doesn’t just cut a branch off the org chart, it eliminates capabilities that are fundamental to sustaining and growing a business and culture.

So why throw the baby out with the bathwater? Here’s a scenario that might sound familiar: Your innovation team created something brilliant. The prototype works, early users love it, and the business case is solid. But six months later, its gathering dust because no one in the core business knew how to – or wanted to – take it forward.

This isn’t a failure of innovation. It’s a failure of integration.

Wait, I thought integrating innovation with the core business was bad

The traditional innovation team structure – a separate unit with its own space, processes, and culture – solved one problem but created another.

As innovation teams were given the freedom to think differently, they were also given shiny, new, fun, and amenity filled spaces cordoned off from everyone else. Meanwhile, “everyone else” was stuck in their usual offices and doing the usual things that keep the business running and, apparently, fund the innovation team’s luxe life.

The resulting Us vs. Them mentality fueled resentment that made it easy for “everyone else” to stonewall the innovation team’s efforts by pointing out flaws, uncertainties, and risks.

To be fair, they weren’t doing this to be mean – they were protecting the business. The innovators, meanwhile, grew frustrated, sought help from higher-ups who were happy to help until times got tough and cuts had to be made.

So, one team should work on both innovation and the core business?

Just like we need multiple words to describe the what and why of innovation, we need different operating models that embed innovation capabilities across the organization while protecting the space for them to flourish.

Here’s what it looks like:

For Core Improvements: Let your operational teams lead. They know the problems best, but give them innovation tools and methods. Think of it as equipping your existing workforce with new superpowers, not replacing them with superheroes.
For Adjacent Expansions: Create hybrid teams that mix operational experience with innovation expertise. When expanding into new markets or launching new products, you need both the innovative mindset and the operational know-how. Neither alone is sufficient.
For Radical Reinvention: You still need dedicated teams – but not isolated ones. Their job is to create offerings that reinvent the company and the culture that enables everyone to be part of the reinvention. Establish bridges that connect them with business units and enforce quarterly meetings to share progress, insights, and tools.

This isn’t theory.

Companies like Amazon have been doing this for years with their “working backwards” innovation process that’s used by all teams, not just a special innovation unit. When I worked at P&G, the brand teams worked on core improvements, the New Business Development teams (where I worked) physically sat next to the brand teams and worked on Adjacent expansion, and the radical reinvention teams were co-located with R&D at the technical centers.

Put it into practice

Here’s where to start:

Map your innovation portfolio to understand what types of innovation you need to hit your goals
Match your team structures to your innovation types
Start embedding innovation capabilities across the organization
Create clear paths for innovations to move from idea to implementation

The transition isn’t easy. It requires rethinking roles and reimagining how innovation happens in your organization. But the alternative – watching your innovation investments evaporate because they can’t cross the bridge back to the core business – is far more painful.

What’s your experience? Drop your stories and strategies in the comments. Let’s figure this out together.

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We Need a New Language for Change

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We Need a New Language for Change

GUEST POST from Robyn Bolton

If innovation (the term) is dead and we will continue to engage in innovation (the activity), how do we talk about creating meaningful change without falling back on meaningless buzzwords? The answer isn’t finding a single replacement word – it’s building a new innovation language that actually describes what we’re trying to achieve. Think of it as upgrading from a crayon to a full set of oil paints – suddenly you can create much more nuanced pictures of progress.

The Problem with One-Size-Fits-All

We’ve spent decades trying to cram every type of progress, change, and improvement into the word “innovation.” It’s like trying to describe all forms of movement with just the word “moving.” Sure, you’re moving but without the specificity of words like walking, running, jumping, bounding, and dancing, you don’t know what or how you’re moving or why.

That’s why using “innovation” to describe everything different from today doesn’t work.

Use More Precise Language for What and How

Before we throw everything out, let’s keep what actually works: Innovation means “something new that creates value.” That last bit is crucial – it’s what separates meaningful change from just doing new stuff for novelty’s sake. (Looking at you, QR code on toothpaste tutorials.)

But, just like “dancing” is a specific form of movement, we need more precise language to describe what the new value-creating thing is that we’re doing:

Core IMPROVEMENTS: Making existing things better. It’s the unglamorous but essential work of continuous refinement. Think better batteries, faster processors, smoother processes.
Adjacent EXPANSIONS: Venturing into new territory – new customers, new offerings, new revenue models, OR new processes. It’s like a restaurant adding delivery service: same food, new way of reaching customers.
Radical REINVENTION: Going all in, changing multiple dimensions at once. Think Netflix killing its own DVD business to stream content they now produce themselves. (And yes, that sound you hear is Blockbuster crying in the corner.)

Adopt More Sophisticated Words to Describe Why

Innovation collapsed because innovation became an end in and of itself. Companies invested in it to get good PR, check a shareholder box, or entertain employees with events.

We forgot that innovation is a means to an end and, as a result, got lazy about specifying what the expected end is. We need to get back to setting these expectations with words that are both clear and inspiring

Growth means ongoing evolution
Transformation means fundamental system change (not just putting QR codes on things)
Invention means creating something new without regard to its immediate usefulness
Problem Solving means finding, creating, and implementing practical solutions
Value Creation means demonstrating measurable and meaningful impact

Why This Matters

This isn’t just semantic nitpicking. Using more precise language sets better expectations, helps people choose the most appropriate tools, and enables you to measure success accurately. It’s the difference between saying “I want to move more during the day” and “I want to build enough endurance to run a 5K by June.”

What’s Next?

As we emerge from innovation’s chrysalis, maybe what we’re becoming isn’t simpler – it’s more sophisticated. And maybe that’s exactly what we need to move forward.

Drop a comment: What words do you use to describe different types of change and innovation in your organization? How do you differentiate between what you’re doing and why you’re doing it?

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Innovation is Dead. Now What?

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Innovation is Dead. Now What?

GUEST POST from Robyn Bolton

Innovation has always had its problems. It’s a meaningless buzzword that leads to confusion and false hope. It’s an event or a hobby that allows executives to check the “Be innovative” box on shareholders’ To-do lists. It’s a massive investment that, if you’re lucky, is break-even.

So, it should be no surprise that interest and investment have dried up to the point that many have declared that innovation is dead.

If you feel an existential crisis coming on, you’re not alone. Heck, I’m about to publish a book titled Unlocking Innovation, which, if innovation is dead, is like publishing Lean Speed: How to Make Your Horse East Less and Go Faster in 1917 (the year automobiles became more prevalent than horses).

But is innovation really dead?

Yes, Innovation is Dead

The word “innovation” is dead, and it’s about time. Despite valiant efforts by academics, consultants, and practitioners to define innovation as something more than a new product, decades of hype have irrevocably reduced it to shiny new objects, fun field trips and events, and wasted time and money.

Good riddance, too. “Innovation” has been used to justify too many half-hearted efforts, avoidable mistakes, and colossal failures to survive.

Except that it is also very much not dead.

While the term “innovation” may have flat-lined, the act of innovating – creating something new that creates value – is thriving. AI continues to evolve and find new roles in our daily lives. Labs are growing everything from meat to fabric to new organs. And speaking of organs, three patients in the US received artificial hearts that kept them alive long enough for donor hearts to be found.

The act of innovation isn’t dead because the need for innovation will always exist, and the desire to innovate – to create, evolve, and improve – is fundamentally human.

Innovation is Metamorphosing (yes, that’s a real word)

Like the Very Hungry Caterpillar, innovation has been inching along, gobbling up money and people, getting bigger, and taking up more space in offices, budgets, and shareholder calls.

Then, as the shock of the pandemic faded, innovation went into a chrysalis and turned to goo.

Just as a caterpillar must break down completely before becoming something new, we’re watching the old systems dissolve:

Old terms like innovation and Design Thinking were more likely to elicit a No than a Yes
Old structures like dedicated internal teams and “labs” were shut down
Old beliefs that innovation is an end rather than a means to an end faded

This is all good news. Except for one tiny thing …

We Don’t Know What’s Next

Humans hate uncertainty, so we’re responding to the goo-phase in different ways:

Collapse in defeat, lament the end of human creativity and innovation, and ignore the fact that cutting all investment in creativity and innovation is hastening the end you find so devastating
Take a deep breath, put our heads down, and keep going because this, too, shall pass.
Put on our big kid pants, muster some courage, ask questions, and start experimenting
I’ve been in #2 for a while (with brief and frequent visits to #1), but it’s time to move into #3.

I’ll start where I start everything – a question about a word – because, before we can move forward, we need a way to communicate.

If innovation (the term) is dead, what do we use instead?

We’ll explore answers in the next post, so drop your words and definitions in the comments.

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How Courage and Trust are Transforming Bayer

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Fewer Rules and Better Results

How Courage and Trust are Transforming Bayer

GUEST POST from Robyn Bolton

“Consider this question: If workers are hobbled by 1,000 rules, does it make a meaningful difference to reduce them to only 900?”

The answer is No. In fact, this is precisely why most attempts at fighting bureaucracy fail – and why true transformation requires starting completely fresh.

Bill Anderson, CEO of Bayer, knows this and isn’t afraid to admit it. When he took the helm in June 2023, he discovered a company paralyzed by bureaucracy. Instead of trying to optimize the system, he looked at the company’s “1,362 pages” of employee rules and knew the entire structure needed to change.

Breaking the Stranglehold

As Anderson stated in Fortune, “There was a time for hierarchical, command-and-control organizations – the 19th century, to be exact, when many workers were illiterate, information traveled at a snail’s pace, and strict adherence to rules offered the competitive advantage of reliability.”

The modern reality is different. Today’s Bayer employs highly skilled experts, operates at digital speed, and competes in markets where, as Anderson observes, “the most reliable companies are the most dynamic.”

The challenge wasn’t just the encyclopedic rule book. The organization’s “12 levels of hierarchy” created what Anderson called “unnecessary distance between our teams, our customers, and our products.” In today’s innovation-driven market, this industrial-age structure threatened the company’s future.

Unleashing Innovation

Anderson’s solution? “Dynamic Shared Ownership” – a radical model that puts 95% of decision-making in the hands of the people actually doing the work. Instead of annual budgets and endless approvals, self-directed teams work in 90-day sprints with the autonomy to make real-time decisions.

The results are already showing. Take Vividion, Bayer’s independently operated subsidiary. Operating in small, autonomous teams, they went from FDA approval to first patient dosing in just six weeks. They’re now on track to produce one or two new drug candidates for clinical testing every year.

Speed Becomes Reality

The impact extends across the organization. Bayer’s scientists have transformed their plant breeding process, reducing cycles from “five years down to merely four months.”

In the consumer health division, teams have accelerated their development timelines significantly, reducing product launch schedules “by up to nine months” in Asia. Within their first two months under the new system, these teams generated millions in additional value.

While financial markets remain uncertain about this transformation, one crucial metric suggests it’s working: employee retention has improved. The scientists, researchers, and product developers – the people doing the innovative work – are showing their confidence in this dramatic shift toward autonomous operation.

Why This Matters & What to do Next

For most of us, the question isn’t whether our organization has too much bureaucracy – it almost certainly does. The question is: what are you going to do about it?

Try this – Create a small, autonomous team with a 90-day mission. Give them real decision-making power and see what they can accomplish when freed from bureaucratic constraints.

Remember Anderson’s key insight: reducing rules from 1,000 to 900 won’t create meaningful change. Real transformation requires the courage to fundamentally rethink how work gets done.

For anyone who’s ever felt the soul-crushing weight of bureaucracy, Bayer’s radical reinvention offers hope. Maybe the path to innovation isn’t through better rules and processes, but through the courage to trust in human potential.

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Lean is the Enemy of Learning

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And Other Counterintuitive Lessons from a Day at MIT

Lean is the Enemy of Learning

GUEST POST from Robyn Bolton

I firmly believe that there are certain things in life that you automatically say Yes to. You do not ask questions or pause to consider context. You simply say Yes:

Painkillers after a medical procedure
Warm blankets
The opportunity to listen to brilliant people talk about things that fascinate them.

So, when asked if I would like to attend an Executive Briefing curated by MIT’s Industrial Liaison Program, I did not ask questions or pause to check my calendar. I simply said Yes.

I’m extremely happy that I did because what I heard blew my mind.

Lean is the enemy of learning

When Ben Armstrong, Executive Director of MIT’s Industrial Performance Center and Co-Lead of the Work of the Future Initiative, said, “To produce something new, you need to create a lot of waste,” I nearly lept out of my chair, raised my arms, and shouted “Amen brother!”

He went on to tell the story of a meeting between Elon Musk and Toyota executives shortly after Musk became CEO. Toyota executives marveled at how quickly Tesla could build an EV and asked Musk for his secret. Musk gestured around the factory floor at all the abandoned hunks of metal and partially built cars and explained that, unlike Toyota, which prided itself on being lean and minimizing waste, Tesla engineers focused on learning – and waste is a required part of the process.

We decide with our hearts and justify with our heads – even when leasing office space

John E. Fernández, Director of MIT’s Environmental Solutions Initiative, shared an unexpected insight about selling sustainable buildings effectively. Instead of hard numbers around water and energy cost savings, what convinces companies to pay the premium for Net Zero environments is prestige. The bragging rights of being a tenant in Winthrop Center, Boston’s first-ever Passive House office building, gave developers a meaningful point of differentiation and justified higher-than-market-rate rents to future tenants like McKinsey and M&T Bank.

49% of companies are Silos and Spaghetti

I did a hard eye roll when I saw Digital Transformation on the agenda. But Stephanie Woerner, Principal Research Scientists and Executive Director for MIT’s Center for Information Systems Research, proved me wrong by explaining that Digital Transformation requires operational excellence and customer-focused innovation.

Her research reveals that while 26% of companies have evolved to manage both innovation and operations, operate with agility, and deliver great customer experiences, nearly half of companies are stuck operating in silos and throwing spaghetti against the wall. These “silo and spaghetti companies” are often product companies rife with complex systems and processes that require and reward individual heroics to make progress.

What seems like the safest option is the riskiest

How did 26% of companies transform while the rest stayed stuck or made little progress? The path forward isn’t what you’d expect. Companies that go all-in on operational excellence or customer innovation struggle to shift focus and work in the other half of the equation. But doing a little bit of each is even more risky because the companies often wait for results from one step before taking the next. The result is a never-ending transformation slog that is eventually abandoned.

Academia is full of random factoids

They’re not random to the academics, but for us civilians, they’re mainly helpful for trivia night:

50% of US robots are used in the automotive industry
<20% of manufacturing job descriptions require digital skills (yes, that includes MS Office)
Data centers will account for 8-21% of global energy demand by 2030
Energy is 10% of the cost but 90% of the cost of mining bitcoin
Cities take up 3% of the earth’s surface, contain 33% of the population, account for 70% of global electricity consumption, and are responsible for 75% of CO2 emissions

Why say Yes

When brilliant people talk about things they find fascinating, it’s often because those things challenge conventional wisdom. The tension between lean efficiency and innovative learning, the role of emotion in business decisions, and the risks of playing it too safe all point to a fascinating truth: sometimes the most counterintuitive path forward is the most successful.

How have you seen this play out in your work?

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Top 40 Innovation Bloggers of 2024

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After a week of torrid voting and much passionate support, along with a lot of gut-wrenching consideration and jostling during the judging round, I am proud to announce your Top 40 Innovation Bloggers of 2024:

Greg Satell
Greg Satell is a popular speaker and consultant. His first book, Mapping Innovation: A Playbook for Navigating a Disruptive Age, was selected as one of the best business books in 2017. Follow his blog at Digital Tonto or on Twitter @Digital Tonto.

Janet Sernack
Janet Sernack is the Founder and CEO of ImagineNation™ which provides innovation consulting services to help organizations adapt, innovate and grow through disruption by challenging businesses to be, think and act differently to co-create a world where people matter & innovation is the norm.

Mike Shipulski
Mike Shipulski brings together people, culture, and tools to change engineering behavior. He writes daily on Twitter as @MikeShipulski and weekly on his blog Shipulski On Design.

Robyn Bolton
Robyn M. Bolton works with leaders of mid and large sized companies to use innovation to repeatably and sustainably grow their businesses.
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Pete Foley
A twenty-five year Procter & Gamble veteran, Pete has spent the last 8+ years applying insights from psychology and behavioral science to innovation, product design, and brand communication. He spent 17 years as a serial innovator, creating novel products, perfume delivery systems, cleaning technologies, devices and many other consumer-centric innovations, resulting in well over 100 granted or published patents. Find him at pete.mindmatters@gmail.com

Geoffrey A. Moore
Geoffrey A. Moore is an author, speaker and business advisor to many of the leading companies in the high-tech sector, including Cisco, Cognizant, Compuware, HP, Microsoft, SAP, and Yahoo! Best known for Crossing the Chasm and Zone to Win with the latest book being The Infinite Staircase. Partner at Wildcat Venture Partners. Chairman Emeritus Chasm Group & Chasm Institute

Shep Hyken
Shep Hyken is a customer service expert, keynote speaker, and New York Times, bestselling business author. For information on The Customer Focus™ customer service training programs, go to www.thecustomerfocus.com. Follow on Twitter: @Hyken

David Burkus
Dr. David Burkus is an organizational psychologist and best-selling author. Recognized as one of the world’s leading business thinkers, his forward-thinking ideas and books are helping leaders and teams do their best work ever. David is the author of five books about business and leadership and he’s been featured in the Wall Street Journal, Harvard Business Review, CNN, the BBC, NPR, and more. A former business school professor turned sought-after international speaker, he’s worked with organizations of all sizes and across all industries.

John Bessant
John Bessant has been active in research, teaching, and consulting in technology and innovation management for over 25 years. Today, he is Chair in Innovation and Entrepreneurship, and Research Director, at Exeter University. In 2003, he was awarded a Fellowship with the Advanced Institute for Management Research and was also elected a Fellow of the British Academy of Management. He has acted as advisor to various national governments and international bodies including the United Nations, The World Bank, and the OECD. John has authored many books including Managing innovation and High Involvement Innovation (Wiley). Follow @johnbessant

Braden Kelley
Braden Kelley is a Human-Centered Experience, Innovation and Transformation consultant at HCL Technologies, a popular innovation speaker, workshop leader, and creator of the Human-Centered Change™ methodology. He is the author of Stoking Your Innovation Bonfire from John Wiley & Sons and Charting Change from Palgrave Macmillan. Follow him on Linkedin, Twitter, Facebook, or Instagram.

Howard Tiersky
Howard Tiersky is an inspiring and passionate speaker, the Founder and CEO of FROM, The Digital Transformation Agency, innovation consultant, serial entrepreneur, and the Wall Street Journal bestselling author of Winning Digital Customers: The Antidote to Irrelevance. IDG named him one of the “10 Digital Transformation Influencers to Follow Today”, and Enterprise Management 360 named Howard “One of the Top 10 Digital Transformation Influencers That Will Change Your World.”

Stefan Lindegaard
Stefan Lindegaard is an author, speaker and strategic advisor. His work focuses on corporate transformation based on disruption, digitalization and innovation in large corporations, government organizations and smaller companies. Stefan believes that business today requires an open and global perspective, and his work takes him to Europe, North and South America, Africa and Asia.

Dainora Jociute
Dainora (a.k.a. Dee) creates customer-centric content at Viima. Viima is the most widely used and highest rated innovation management software in the world. Passionate about environmental issues, Dee writes about sustainable innovation hoping to save the world – one article at the time.

Teresa Spangler
Teresa Spangler is the CEO of PlazaBridge Group has been a driving force behind innovation and growth for more than 30 years. Today, she wears multiple hats as a social entrepreneur, innovation expert, growth strategist, author and speaker (not to mention mother, wife, band-leader and so much more). She is especially passionate about helping CEOs understand and value the role human capital plays in innovation, and the impact that innovation has on humanity; in our ever-increasing artificial/cyber world.

Soren Kaplan
Soren Kaplan is the bestselling and award-winning author of Leapfrogging and The Invisible Advantage, an affiliated professor at USC’s Center for Effective Organizations, a former corporate executive, and a co-founder of UpBOARD. He has been recognized by the Thinkers50 as one of the world’s top keynote speakers and thought leaders in business strategy and innovation.

Diana Porumboiu
Diana heads marketing at Viima, the most widely used and highest rated innovation management software in the world, and has a passion for innovation, and for genuine, valuable content that creates long-lasting impact. Her combination of creativity, strategic thinking and curiosity has helped organisations grow their online presence through strategic campaigns, community management and engaging content.

Steve Blank
Steve Blank is an Adjunct Professor at Stanford and Senior Fellow for Innovation at Columbia University. He has been described as the Father of Modern Entrepreneurship, credited with launching the Lean Startup movement that changed how startups are built; how entrepreneurship is taught; how science is commercialized, and how companies and the government innovate.

Jesse Nieminen
Jesse Nieminen is the Co-founder and Chairman at Viima, the best way to collect and develop ideas. Viima’s innovation management software is already loved by thousands of organizations all the way to the Global Fortune 500. He’s passionate about helping leaders drive innovation in their organizations and frequently writes on the topic, usually in Viima’s blog.

Robert B Tucker
Robert B. Tucker is the President of The Innovation Resource Consulting Group. He is a speaker, seminar leader and an expert in the management of innovation and assisting companies in accelerating ideas to market.

Dennis Stauffer
Dennis Stauffer is an author, independent researcher, and expert on personal innovativeness. He is the founder of Innovator Mindset LLC which helps individuals, teams, and organizations enhance and accelerate innovation success. by shifting mindset. Follow @DennisStauffer

Arlen Meyers
Arlen Meyers, MD, MBA is an emeritus professor at the University of Colorado School of Medicine, an instructor at the University of Colorado-Denver Business School and cofounding President and CEO of the Society of Physician Entrepreneurs at www.sopenet.org. Linkedin: https://www.linkedin.com/in/ameyers/

Ayelet Baron
Ayelet Baron is a pioneering futurist reminding us we are powerful creators through award winning books, daily blog and thinking of what is possible. Former global tech executive who sees trust, relationships and community as our building blocks to a healthy world.

Leo Chan
Leo is the founder of Abound Innovation Inc. He’s a people and heart-first entrepreneur who believes everyone can be an innovator. An innovator himself, with 55 US patents and over 20 years of experience, Leo has come alongside organizations like Chick-fil-A and guided them to unleash the innovative potential of their employees by transforming them into confident innovators.

Rachel Audige
Rachel Audige is an Innovation Architect who helps organisations embed inventive thinking as well as a certified Systematic Inventive Thinking Facilitator, based in Melbourne.

Art Inteligencia
Art Inteligencia is the lead futurist at Inteligencia Ltd. He is passionate about content creation and thinks about it as more science than art. Art travels the world at the speed of light, over mountains and under oceans. His favorite numbers are one and zero.

Paul Sloane
Paul Sloane writes, speaks and leads workshops on creativity, innovation and leadership. He is the author of The Innovative Leader and editor of A Guide to Open Innovation and Crowdsourcing, both published by Kogan-Page.

Phil McKinney
Phil McKinney is the Author of “Beyond The Obvious”, Host of the Killer Innovations Podcast and Syndicated Radio Show, a Keynote Speaker, President & CEO CableLabs and an Innovation Mentor and Coach.

Ralph Christian Ohr
Dr. Ralph-Christian Ohr has extensive experience in product/innovation management for international technology-based companies. His particular interest is targeted at the intersection of organizational and human innovation capabilities. You can follow him on Twitter @Ralph_Ohr.

Jeffrey Phillips
Jeffrey Phillips has over 15 years of experience leading innovation in Fortune 500 companies, federal government agencies and non-profits. He is experienced in innovation strategy, defining and implementing front end processes, tools and teams and leading innovation projects. He is the author of Relentless Innovation and OutManeuver. Jeffrey writes the popular Innovate on Purpose blog. Follow him @ovoinnovation

Dean and Linda Anderson
Dr. Dean Anderson and Dr. Linda Ackerman Anderson lead BeingFirst, a consultancy focused on educating the marketplace about what’s possible in personal, organizational and community transformation and how to achieve them. Each has been advising clients and training professionals for more than 40 years.

Shilpi Kumar
Shilpi Kumar an inquisitive researcher, designer, strategist and an educator with over 15 years of experience, who truly believes that we can design a better world by understanding human behavior. I work with organizations to identify strategic opportunities and offer user-centric solutions.

Scott Anthony
Scott Anthony is a strategic advisor, writer and speaker on topics of growth and innovation. He has been based in Singapore since 2010, and currently serves at the Managing Director of Innosight’s Asia-Pacific operations.

Anthony Mills
Anthony Mills is the Founder & CEO of Legacy Innovation Group (www.legacyinnova.com), a world-leading strategic innovation consulting firm working with organizations all over the world. Anthony is also the Executive Director of GInI – Global Innovation Institute (www.gini.org), the world’s foremost certification, accreditation, and membership organization in the field of innovation. Anthony has advised leaders from around the world on how to successfully drive long-term growth and resilience through new innovation. Learn more at www.anthonymills.com. Anthony can be reached directly at anthony@anthonymills.com.

Paul Hobcraft
Paul Hobcraft runs Agility Innovation, an advisory business that stimulates sound innovation practice, researches topics that relate to innovation for the future, as well as aligning innovation to organizations core capabilities. Follow @paul4innovating

Jorge Barba
Jorge Barba is a strategist and entrepreneur, who helps companies build new puzzles using human skills. He is a global Innovation Insurgent and author of the innovation blog www.Game-Changer.net

Chateau G Pato
Chateau G Pato is a senior futurist at Inteligencia Ltd. She is passionate about content creation and thinks about it as more science than art. Chateau travels the world at the speed of light, over mountains and under oceans. Her favorite numbers are one and zero.

Douglas Ferguson
Douglas Ferguson is an entrepreneur and human-centered technologist. He is the founder and president of Voltage Control, an Austin-based change agency that helps enterprises spark, accelerate, and sustain innovation. He specializes in helping teams work better together through participatory decision making and design inspired facilitation techniques.

Alain Thys
As an experience architect, Alain helps leaders craft customer, employee and shareholder experiences for profit, reinvention and transformation. He does this through his personal consultancy Alain Thys & Co as well as the transformative venture studio Agents of A.W.E. Together with his teams, Alain has influenced the experience of over 500 million customers and 350,000 employees. Follow his blog or connect on Linkedin.

Bruce Fairley
Bruce Fairley is the CEO and Founder of The Narrative Group, a firm dedicated to helping C-Suite executives build enterprise value. Through smart, human-powered digital transformation, Bruce optimizes the business-technology relationship. His innovative profit over pitfalls approach and customized programs are part of Bruce’s mission to build sustainable ‘best-future’ outcomes for visionary leaders. Having spearheaded large scale change initiatives across four continents, he and his skilled, diverse team elevate process, culture, and the bottom line for medium to large firms worldwide.

Tom Stafford
Tom Stafford studies learning and decision making. His main focus is the movement system – the idea being that if we can understand the intelligence of simple actions we will have an excellent handle on intelligence more generally. His research looks at simple decision making, and simple skill learning, using measures of behaviour informed by the computational, robotics and neuroscience work done in the wider group.

If your favorite didn’t make the list, then next year try to rally more votes for them or convince them to increase the quality and quantity of their contributions.

Our lists from the ten previous years have been tremendously popular, including:

Top 40 Innovation Bloggers of 2015
Top 40 Innovation Bloggers of 2016
Top 40 Innovation Bloggers of 2017
Top 40 Innovation Bloggers of 2018
Top 40 Innovation Bloggers of 2019
Top 40 Innovation Bloggers of 2020
Top 40 Innovation Bloggers of 2021
Top 40 Innovation Bloggers of 2022
Top 40 Innovation Bloggers of 2023