Want to Know Why Companies Don’t Innovate? Ask LEGO

Want to Know Why Companies Don’t Innovate? Ask LEGO

“Lego’s Latest Effort to Avoid Oil-Based Plastic Hits Brick Wall” – WSJ

“Lego axes plans to make bricks from recycled bottles” – BBC

“Lego ditches oil-free brick in sustainability setback” – The Financial Times

Last Monday, LEGO found itself doing the Walk of Atonement after announcing to The Financial Times that it was scrapping plans to make bricks from recycled bottles, and media outlets from The Wall Street Journal to Fast Company to WIRED were more than happy to play the Shame Nun.

And it wasn’t just media outlets ringing the Shame Bell:

  • In the future, they should not make these kinds of announcements (prototype made from recyclable plastic) until they actually do it,” Judith Enck, President of Beyond Plastics
  • They are not going to survive as an organization if they don’t find a solution,” Paolo Taticchi, corporate sustainability expert at University College London.
  • “Lego undoubtedly had good intentions, but if you’re going to to (sic) announce a major environmental initiative like this—one that affects the core of your company—good intentions aren’t enough. And in this instance, it can even undermine progress.” Jesus Diaz, creative director, screenwriter, and producer at The Magic Sauce, writing forFast Company

As a LEGO lover, I am not unbiased, but WOW, the amount of hypocritical, self-righteous judgment is astounding!  All these publications and pundits espouse the need for innovation, yet when a company falls even the tiniest bit short of aspirations, it’s just SHAME (clang) SHAME (clang) SHAME.

A LEGO Atlantis 8073 Manta Warrior (i.e., tiny) bit of context

In 1946, LEGO founder Ole Kirk Christiansen purchased Denmark’s first plastic injection molding machine.  Today, 95% of the company’s 4,400 different bricks are made using acrylonitrile butadiene styrene (ABS), a plastic that requires 4.4 pounds of oil to produce 2.2 pounds of brick.  Admittedly, it’s not a great ratio, and it gets worse.  The material isn’t biodegradable or easily recyclable, so when the 3% of bricks not handed down to the next generation end up in a landfill, they’ll break down into highly polluting microplastics.

With this context, it’s easy to understand why LEGO’s 2018 announcement that it will move to all non-plastic or recycled materials by 2030 and reduce its carbon emissions by 37% (from 2019’s 1.2 million tons) by 2032 was such big news.

Three years later, in 2021, LEGO announced that its prototype bricks made from polyethylene terephthalate (PET) bottles offered a promising alternative to its oil-based plastic bricks. 

But last Monday, after two years of testing, the company shared that what was promising as a prototype isn’t possible at scale because the process required to produce PET-based bricks actually increases carbon emissions.

SHAME!

A LEGO Art World Map (i.e. massive) amount of praise for LEGO

LEGO is doing everything that innovation theorists, consultants, and practitioners recommend:

  • Setting a clear vision and measurable goals so that people know what the priorities are (reduce carbon emissions), why they’re important (“playing our part in building a sustainable future and creating a better world for our children to inherit”), and the magnitude of change required
  • Defining what is on and off the table in terms of innovation, specifically that they are not willing to compromise the quality, durability, or “clutch power” of bricks to improve sustainability
  • Developing a portfolio of bets that includes new materials for products and packaging, new services to keep bricks out of landfills and in kids’ hands, new building and production processes, and active partnerships with suppliers to reduce their climate footprint
  • Prototyping and learning before committing to scale because what is possible at a prototype level is different than what’s possible at pilot, which is different from what’s possible at scale.
  • Focusing on the big picture and the long-term by not going for the near-term myopic win of declaring “we’re making bricks from more sustainable materials” and instead deciding “not to progress” with something that, when taken as a whole process, moves the company further away from its 2032 goal.

Just one minifig’s opinion

If we want companies to innovate (and we do), shaming them for falling short of perfection is the absolute wrong way to do it.

Is it disappointing that something that seemed promising didn’t work out?  Of course.  But it’s just one of many avenues and experiments being pursued.  This project ended, but the pursuit of the goal hasn’t.

Is 2 years a long time to figure out that you can’t scale a prototype and still meet your goals?  Maybe.  But, then again, it took P&G 10 years to figure out how to develop and scale a perforation that improved one-handed toilet paper tearing.

Should LEGO have kept all its efforts and success a secret until everything was perfect and ready to launch?  Absolutely not.  Sharing its goals and priorities, experiments and results, learnings and decisions shows employees, partners, and other companies what it means to innovate and lead.

Is LEGO perfect? No.

Is it trying to be better? Yes.

Isn’t that what we want?

The Comforter Cold War of 2006 (or How Assumptions Stifle Innovation)

The Comforter Cold War of 2006 (or How Assumptions Stifle Innovation)

In the room were two single beds, each with a fluffy white comforter folded neatly on top.

“Yeah, this is not gonna work.”

I had just entered my one-bedroom corporate apartment in Copenhagen, and while everything else was pleasantly light and spacious, there was no way I would spend the next six months sleeping in a single bed.

So, I set down my suitcases and immediately pushed the two beds together, using the two nightstands to secure them. The two comforters would work since there was just one of me, and I made a mental note to request a king-sized comforter from the desk when I left for work in the morning.

Thus began the great Comforter Cold War of 2006/2007.

Every few days, I would request a king-sized comforter for my jerry-rigged king-sized bed.  I would return to find one queen-sized comforter.  The luxury of a larger comforter would diminish the disappointment of not getting an appropriately sized one, and I would bask in the warmth of fully covered sleep.  For one night. The next day, I would return to my room only to find that the two single comforters had returned.

This went on for nine months.

I shared this story of passive-aggressive housekeeping at my going away party with my colleagues. Midway through the story, I noticed the absolutely baffled looks on their faces.

“What?”

“Why did you want one comforter?”

“Because I have one bed.  A comforter should cover the bed.”

“Why?  A bed doesn’t need a comforter.  A person does.  You just need a comforter to cover you.”

[extended silence while we try to process each other’s points]

“So, does that mean that in Denmark, if a couple sleeps together, they each have their own comforter?”

“Yes, of course!  Why would we share?  Each person has their own temperature preferences, and there’s no worry about someone stealing your covers.”

My mind.  Was.  Blown.

This made so much sense. A comforter covers a person, so the 1:1 ratio of comforter to people is far more logical than a 1:1 ratio of comforter to bed (and often a 1:2 ratio of comforter to people).  Seriously, how many relationships would be saved by simply having separate comforters?

Yet, for nine months, it made more sense to me to battle for a comforter size that apparently doesn’t exist in the country without ever asking why I couldn’t get what I was so clearly and reasonably (in my mind) requesting.

I assumed the apartment building didn’t have king-sized comforters or only enough for the actual king-sized beds.  I assumed housekeeping was on automatic pilot, not realizing they were replacing a queen-sized comforter with two single ones.  I assumed that communication amongst the staff was poor, so my request wasn’t being shared.  I assumed a lot.

But I never assumed that I was wrong and that the root of the problem was a cultural difference so deeply ingrained and subtle that it never occurred to anyone to question it.

Question your assumptions.

Assumptions are a shortcut to understanding our world.  Based on culture, experiences, and even stereotypes, we make assumptions about what came before, who we’re interacting with, what’s happening now, and what will happen next.

Most of the time, we’re right (or at least more right than wrong), so we keep making assumptions. It’s also why, when our assumptions are wrong, we tend to question everything but our assumptions.

And that kills innovation because it limits our curiosity and imagination, our perception of what’s possible, and our willingness to engage with and learn from others.

We all cling to assumptions that lead to Cold Wars. 

What’s yours?

Want to Innovate like Google?  Be Careful What You Wish For.

Want to Innovate like Google? Be Careful What You Wish For.

 A few weeks ago, a Google researcher leaked an internal document asserting that Google (and open AI) will lose the AI “arms race” to Open Source AI.

I’ll be honest: I didn’t understand much of the tech speak – LLM, LLaMA, RLHF, and LoRA are just letters to me. But I understood why the memo’s writer believed that Google was about to lose out on a promising new technology to a non-traditional competitor.

They’re the same reasons EVERY large established company loses to startups.

Congratulations, big, established industry incumbents, you’re finally innovating like Google!

(Please note the heavy dose of sarcasm intended).

Innovation at Google Today

The document’s author lists several reasons why “the gap is closing astonishingly quickly” in terms of Google’s edge in AI, including:

  1. “Retraining models from scratch is the hard path” – the tendency to want to re-use (re-train) old models because of all the time and effort spent building them, rather than start from scratch using newer and more flexible tools
  2. “Large models aren’t more capable in the long run if we can iterate faster on small models” – the tendency to want to test on a grand scale, believing the results are more reliable than small tests and drive rapid improvements.
  3. “Directly competing with open source is a losing proposition” – most people aren’t willing to pay for perfect when “good enough” is free.
  4. “We need them more than they need us” – When talent leaves, they take knowledge and experience with them. Sometimes the competitors you don’t see coming.
  5. “Individuals are not constrained by licenses to the same degree as corporations” – Different customers operate by different rules, and you need to adjust and reflect that.
  6. “Being your own customer means you understand the use case” – There’s a huge difference between designing a solution because it’s your job and designing it because you are in pain and need a solution.

What it sounds like at other companies

Even the statements above are a bit tech industry-centric, so let me translate them into industry-agnostic phrases, all of which have been said in actual client engagements.

  1. Just use what we have. We already paid to make it.
  2. Lots of little experiments will take too long, and the dataset is too small to be trusted. Just test everything all at once in a test market, like Canada or Belgium.
  3. We make the best [product]. If customers aren’t willing to pay for it because they don’t understand how good it is, they’re idiots.
  4. It’s a three-person startup. Why are we wasting time talking about them?
  5. Aren’t we supposed to move fast and test cheaply? Just throw it in Google Translate, and we’ll be done.
  6. Urban Millennials are entitled and want a reward. They’ll love this! (60-year-old Midwesterner)

How You (and Google) can get back to the Innovative Old Days

The remedy isn’t rocket (or computer) science. You’ve probably heard (and even advocated for) some of the practices that help you avoid the above mistakes:

  1. Call out the “sunk cost fallacy,” clarify priorities, and be transparent about trade-offs. Even if minimizing costs is the highest priority, is it worth it at the expense of good or even accurate data?
  2. Define what you need to learn before you decide how to learn it. Apply the scientific method to the business by stating your hypothesis and determining multiple ways to prove or disprove it. Once that’s done, ask decision-makers what they need to see to agree with the test’s result (the burden of proof you need to meet).
  3. Talk. To. Your. Customers. Don’t run a survey. Don’t hire a research firm. Stand up from your desk, walk out of your office, go to your customers, and ask them open-ended questions (Why, how, when, what). 
  4. Constantly scan the horizon and seek out the small players. Sure, most of them won’t be anything to worry about, but some will be on to something. Pay attention to them.
  5. See #3
  6. See #3

Big companies don’t struggle with innovation because the leaders aren’t innovative (Google’s founders are still at the helm), the employees aren’t smart (Google’s engineers are amongst the smartest in the world), or the industry is stagnating (the Tech industry has been accused of a lot, but never that).

Big companies struggle to innovate because operating requires incredible time, money, and energy. Adding innovation, something utterly different, to the mix feels impossible. But employees and execs know it’s essential. So they try to make innovation easier by using the tools, processes, and practices they already have. 

It makes sense. 

Until you wake up and realize you’re Google.

5 Tips for Navigating Uncertainty from Execs at P&G, CVS, Hannaford, and Intel

5 Tips for Navigating Uncertainty from Execs at P&G, CVS, Hannaford, and Intel

“We have successfully retained the opportunity for improvement.”

When the CEO said this to kick off a meeting, I knew we were in for an adventure. He smirked at the corporate double-speak, paused for the laughter, then outlined all the headwinds facing the business. But the only thing I remember from that meeting was his opening line.

I think about it all the time. Because it seems to apply all the time.

And despite the turmoil brought on by a pandemic, a war, and an economic slowdown, we have successfully retained the opportunity to improve how we deal with uncertainty. 

That isn’t to say we haven’t improved over the past three years. In fact, at an event sponsored by NextUp, four executives from P&G, CVS, Hannaford, and Intel shared what they learned and how they changed while navigating uncertainty.

Listen more

Dave DeJohn, Director of Operations for Hannaford, talked about the importance of listening deeply and constantly to employees, especially those on the front lines. Consistent with its core values of family, community, quality, and value, store associates are trained that the customer is always right. However, as incidents of verbal abuse increased during the lockdowns, employee satisfaction and mental health declined. By closely listening and observing what was happening in stores, Hannaford’s leadership modified their customer service approach to “the customer is always right, within reason” and empowered employees to stand up for themselves and each other when faced with hostile shoppers.

Stronger relationships lead to stronger results

Every executive shared stories from the early days of working from home – technical glitches, kids invading calls, and even cats positioning themselves awkwardly in front of cameras when the human stepped away.   Far from being signals of a lack of commitment or professionalism, these moments transformed roles and titles into human beings, juggling all the things humans must juggle. Once people started seeing others as fellow humans versus bosses, peers, or subordinates, they connected on a human level and formed genuine and trusting relationships. Those relationships led to better collaboration, more effective troubleshooting, and better business results.

Concise concrete communication is critical

In periods of uncertainty, information is power. But it’s also constantly changing. For that reason, constant communication is a must. But in a large organization, communication often comes from multiple departments – employee relations, HR, health and safety, operations, and marketing, to name a few – and that can be overwhelming. For this reason, DeJohn learned that keeping every message concise (ideally the length of a tweet but no more than a short paragraph) and concrete (specific, tangible, tactical rather than high-level platitudes) proved critical to keeping people aligned and moving forward.

Just because you can, doesn’t mean you need to

Keris Clark, VP of Sales at P&G, spoke about the drastic shift in her work/life balance when she could no longer travel to see customers or attend meetings. Instead of taking the first flight from Boston to Seattle for a meeting and then a red-eye back home, she suddenly had time to work out, cook, and spend time with family. As travel became safer and invitations to far-away meetings came in, she thought more critically about whether or not to book the tickets. Like most of us, she still travels for some things, but it’s no longer the default option now that more people are used to video calls and other ways of working.

We can do things differently and still deliver

COVID’s effect on the supply chain is well documented, and Tiffiny Fisher, Chief of Staff and Technical Assistant for Intel’s America region, gave us a view into Intel’s situation in the earliest days of the pandemic. With fabrication, assembly, and testing sites throughout Asia, Intel had to work quickly to figure out how to continue operating while staying with government lockdown guidelines. Ultimately, hundreds of employees volunteered to leave their families and live in hotels near Intel facilities so that they could continue operating. It was a huge sacrifice by employees and probably not one that anyone would want to make again. Still, it proved that Intel, with the support of its employees, could quickly make massive changes to its operations while continuing to deliver results.

Uncertainty can be deeply uncomfortable, even frightening, even though we face it every day. Building the skills to navigate it and learning lessons about what works and doesn’t can make it easier. But if you still struggle, don’t worry. It just means you’ve successfully retained the opportunity for improvement.

Through the Looking Glass: 3 Examples of Why Innovation is a Leadership Problem

Through the Looking Glass: 3 Examples of Why Innovation is a Leadership Problem

Do you sometimes feel like you’re living in an alternate reality?

If so, you’re not alone.  Most innovators feel that way at some point.

After all, you see things that others don’t. 

Question things that seem inevitable and true.

Make connections where others only see differences. 

Do things that seem impossible.

It’s easy to believe that you’re the crazy one, the Mad Hatter and permanent resident of Wonderland.

But what if you’re not the crazy one? 

What if you’re Alice? 

And you’re stepping through the looking glass every time you go to work?

In Lewis Carroll’s book, the other side of the looking glass is a chessboard, and all its inhabitants are chess pieces that move in defined and prescribed ways, follow specific rules, and achieve defined goals.  Sound familiar?

Here are a few other things that may sound familiar, too

“The rule is, jam tomorrow and jam yesterday – but never jam today.”The White Queen

In this scene, the White Queen offers to hire Alice as her lady’s maid and pay her “twopence a week and jam every other day.”  When Alice explains that she doesn’t want the job, doesn’t like jam, and certainly doesn’t want jam today, the queen scoffs and explains the rule.

The problem, Alice points out, is that it’s always today, and that means there’s never jam.

Replace “jam” with “innovation,” and this hits a little too close to home for most innovators.

How often do you hear about the “good old days” when the company was more entrepreneurial, willing to experiment and take risks, and encouraged everyone to innovate? 

Innovation yesterday.

How often do you hear that the company will invest in innovation, restart its radical innovation efforts, and disrupt itself as soon as the economy rebounds, business improves, and things settle down a bit?  Innovation tomorrow.

But never innovation today.  After all, “it’s [innovation] every other day: today isn’t any other day, you know.”

“When I use a word, it means just what I choose it to mean – neither more, not less.” – Humpty Dumpty

In this scene, poor Alice tries to converse with Humpty Dumpty, but he keeps using the “wrong” words.  Except they’re not the wrong words because they mean exactly what he chooses them to mean.

Even worse, when Alice asks Humpty to define confusing terms, he gets angry, speaks in a “scornful tone,” and smiles “contemptuously” before “wagging his head gravely from side to side.

We all know what the words we use mean, but we too often think others share our definitions.  We use “innovation” and “growth,” assuming people know what we mean.  But they don’t.  They know what the words mean to them.  And that may or may not be what we mean.

When managers encourage people to share ideas, challenge the status quo, and take risks, things get even trickier.  People listen, share ideas, challenge the status quo, and take risks.  Then they are confused when management doesn’t acknowledge their efforts.  No one realizes that those requests meant one thing to the managers who gave them and a different thing to the people who did them.

“It takes all the running you can do, to keep in the same place.  If you want to go somewhere else, you must run at least twice as fast as that!” – The Red Queen

In this scene, the Red Queen introduces life on the other side of the looking glass and explains Alice’s new role as a pawn.  Of course, the explanation comes after a long sprint that seems to get them nowhere and only confuses Alice more.

When “tomorrow” finally comes, and it’s time for innovation, it often comes with a mandate to “act with urgency” to avoid falling behind.  I’ve seen managers set goals of creating and launching a business with $250M revenue in 3 years and leadership teams scrambling to develop a portfolio of businesses that would generate $16B in 10 years.

Yes, the world is moving faster, so companies need to increase the pace at which they operate and innovate.  But if you’re doing all you can, you can’t do twice as much.  You need help – more people and more funding, not more meetings or oversight.

“Life, what is it but a dream?”

Managers and executives, like the kings and queens, have roles to play.  They live in a defined space, an org chart rather than a chessboard, and they do their best to navigate it following rules set by tradition, culture, and HR.

But you are like Alice.  You see things differently.  You question what’s taken as given.  And, every now and then, you probably want to shake someone until they grow “shorter – and fatter – and softer – and rounder – and…[into] a kitten, after all.”

So how do you get back to reality and bring everyone with you?  You talk to people.  You ask questions and listen to the answers.  You seek to understand their point of view and then share yours. 

Some will choose to stay where they are.

Some will choose to follow you back through the looking glass.

They will be the ones who transform a leadership problem into a leadership triumph.

3 Steps to Find the Horse’s A** In Your Company (and Create Space for Innovation)

3 Steps to Find the Horse’s A** In Your Company (and Create Space for Innovation)

Innovation thrives within constraints.

Constraints create the need for questions, creative thinking, and experiments.

But as real as constraints are and as helpful as they can be, don’t simply accept them. Instead, question them, push on them, and explore around them. 

But first, find the horse’s a**

How Ancient Rome influenced the design of the Space Shuttle

In 1974, Thiokol, an aerospace and chemical manufacturing company, won the contract to build the solid rocket boosters (SRBs) for the Space Shuttle. The SRBs were to be built in a factory in Utah and transported to the launch site via train.

The train route ran through a mountain tunnel that was just barely wider than the tracks. 

The standard width of railroad tracks (distance between the rails or the railroad gauge) in the US is 4 feet, 8.5 inches which means that Thiokol’s engineers needed to design SRBs that could fit through a tunnel that was slightly wider than 4 feet 8.5 inches.

4 feet 8.5 inches wide is a constraint. But where did such an oddly specific constraint come from?

The designers and builders of America’s first railroads were the same people and companies that built England’s tramways. Using the existing tramways tools and equipment to build railroads was more efficient and cost-effective, so railroads ended up with the same gauge as tramways – 4 feet 8.5 inches.

The designers and builders of England’s tramways were the same businesses that, for centuries, built wagons. Wanting to use their existing tools and equipment (it was more efficient and cost-effective, after all), the wagon builders built tramways with the exact distance between the rails as wagons had between wheels – 4 feet 8.5 inches.

Wagon wheels were 4 feet 8.5 inches apart to fit into the well-worn grooves in most old European roads. The Romans built those roads, and Roman chariots made those grooves, and a horses pulled those chariots, and the width of a horses was, you guessed it, 4 feet 8.5 inches.

To recap – the width of a horses’ a** (approximately 4 feet 8.5 inches) determined the distance between wheels on the Roman chariots that wore grooves into ancient roads. Those grooves ultimately dictated the width of wagon wheels, tramways, railroad ties, a mountain tunnel, and the Space Shuttle’s SRBs.

How to find the horse’s a**

When you understand the origin of a constraint, aka find the horse’s a***, it’s easier to find ways around it or to accept and work with it. You can also suddenly understand and even anticipate people’s reactions when you challenge the constraints.

Here’s how you do it – when someone offers a constraint:

  1. Thank them for being honest with you and for helping you work more efficiently
  2. Find the horse’s a** by asking questions to understand the constraint – why it exists, what it protects, the risk of ignoring it, who enforces it, and what happened to the last person who challenged it.
  3. Find your degrees of freedom by paying attention to their answers and how they give them. Do they roll their eyes in knowing exasperation? Shrug their shoulders in resignation? Become animated and dogmatic, agitated that someone would question something so obvious?

How to use the horse’s a** to innovate

You must do all three steps because stopping short of step 3 stops creativity in its tracks.

If you stop after Step 1 (which most people do), you only know the constraint, and you’ll probably be tempted to take it as fixed. But maybe it’s not. Perhaps it’s just a habit or heuristic waiting to be challenged.

If you do all three steps, however, you learn tons of information about the constraint, how people feel about it, and the data and evidence that could nudge or even eliminate it.

At the very least, you’ll understand the horse’s a** driving your company’s decisions.

Endnotes:

  1. To be very clear, the origin of the constraint is the horse’s a**. The person telling you about the constraint is NOT the horse’s a**.
  2. The truth is never as simple as the story and railroads used to come in different gauges. For a deeper dive into this “more true than not” story (and an alternative theory that it was the North’s triumph in the Civil War that influenced the design of the SRBs, click here