by Robyn Bolton | Mar 26, 2025 | Strategy, Uncategorized
It’s easy to get complacent about your strategy skills. After all, our yearly “strategic planning” processes result in quarterly “strategic priorities” that require daily “strategic decisions.” So, it’s reasonable to assume that we know what we’re doing when it comes to strategy development.
I’ll admit I did. After all, I’ve written strategic plans for major brands, developed strategies for billion-dollar businesses, and teach strategy in a Masters program.
I thought I knew what I was doing.
Then ChatGPT proved me wrong.
How it Began
My student’s Midterm assignment for this semester is to develop, recommend, and support a strategy for the companies they’ve studied for the past seven weeks. Each week, we apply a different framework – Strategy Kernel, SWOT, Business Model Canvas, Porter’s 5 Forces, PESTLE, Value Chain – to a case study. Then, for homework, they apply the framework to the company they are analyzing.
Now, it’s time to roll up all that analysis and turn it into strategic insights and a recommended strategy.
Naturally, they asked me for examples.
I don’t have a whole lot of examples, and I have precisely none that I can share with them.
I quickly fed The LEGO Group’s Annual Report, Sustainability Report, and Modern Slavery and Transparency Statements into ChatGPT and went to work.
Two hours later, I had everything needed to make a solid case that LEGO needs to change its strategy due to risks with consumers, partners, and retailers. Not only that, the strategy was concise and memorable, with only 34 carefully chosen words waiting to be brought to life through the execution of seven initiatives.
Two hours after that, all of my genius strategic analysis had been poured into a beautifully designed and perfectly LEGO-branded presentation that, in a mere six slides, laid out the entire case for change (which was, of course, supported by a 10-page appendix).
The Moment
As I gazed lovingly at my work, I felt pretty proud of myself. I even toyed with the idea of dropping a copy off at LEGO’s Back Bay headquarters in case they needed some help.
I chuckled at my little daydream, knowing no one would look at it because no one asked for it, and no implementers were involved in creating it.
That’s when it hit me.
All the reasons my daydream would never become a reality also applied to every strategy effort I’ve ever been part of.
- No one looks at your strategy because it’s just a box to check to get next year’s budget.
- No one asks for it because they’re already working hard to maintain the status quo. They don’t have the time or energy to imagine a better future when they’re just trying to get through today.
- No one responsible for implementing it was involved in creating it because strategy is created at high levels of the organization or outsourced to consultants.
What the strategy is doesn’t matter.*
What matters is how the strategy was created.
Conversation is the only way to create a successful, actionable, and impactful strategy.
Conversation with the people responsible for implementing it, they people on the ground and the front lines, the people dealing with the ripple effects of all those “strategic” decisions.
How It’s Going
Today, I’m challenging myself—and you—to make strategy a dialogue, not a monologue. To value participation over presentation. Because strategy without conversation isn’t strategy at all—it’s just a beautiful document waiting to be forgotten.
Who are you inviting into your next strategy conversation that isn’t usually there but should be? Share in the comments below.
by Robyn Bolton | Feb 26, 2025 | Automation & Tech, Innovation
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?
by Robyn Bolton | Feb 18, 2025 | Innovation, Leadership, Metrics, Tips, Tricks, & Tools
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.
by Robyn Bolton | Feb 3, 2025 | Innovation, Tips, Tricks, & Tools
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?
by Robyn Bolton | Jan 22, 2025 | Innovation, Leadership, Metrics, Stories & Examples
“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 rulebook. 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.
