Tag Archives: collaboration

Predicting Unintended Consequences

The 93% Rule

Predicting Unintended Consequences

GUEST POST from Robyn Bolton

Unintended consequences often catch us off guard despite their predictability.  The moment they occur, we gasp in shock, shake our heads, and look at each other in wide-eyed horror at this thing that just happened that we could never ever ever have anticipated. 

Yet, when (if) we do an After-Action Review, we often realize that these consequences were not entirely unforeseeable. In fact, had we anticipated them, we might have made different decisions.

The Unintended Consequences of Spreadsheets

In 1800 BCE, ancient Babylonians started recording data by scratching grids and columns onto clay tablets, and the spreadsheet was born.  Over the millennia, we went from clay tablets to papyrus to parchment and then paper. 

Fast forward to 1963 when R. Brian Walsh of Marquette University ported the Business Computer Language (BCL) program to an IBM 7040, and electronic spreadsheets became a reality.  The introduction of VisiCalc by Apple in 1979 revolutionized spreadsheet capabilities, followed by Lotus 123 and Microsoft Excel. Today, spreadsheets are ubiquitous in education, business operations, financial markets, budgeting, and even personal inventories.

Unintended yet predictable consequences

While spreadsheets have undoubtedly enhanced efficiency and accuracy compared to traditional methods like clay tablets or hand-drawn tables on parchment, their ease of use has inadvertently led to complacency.

We stopped engaging in a multi-millennial habit of discussing, debating, and deciding before making a spreadsheet. We started flippantly asking people to create spreadsheets and providing little, if any, guidance because “it’s easy to make changes and run scenarios.”

This shift resulted in a reliance on automated models and a lack of shared assumptions or analytical rigor in decision-making processes.

Of course, these behaviors were never intended.  They were, however, very predictable.

93% of Human Behavior is predictable.

Research spanning disciplines as varied as network scientists, anthropology, neuropsychology, and paleontology shines a light on how truly predictable we are.

Here are some examples:

Emotions before Reason: Ask someone if they make decisions based on their motivations, aspirations, and fears and use data to justify the decisions, and they’ll tell you no. Ask them the last time someone else made a decision that “made no sense,” and you’ll listen to a long list of examples.

Small gains now are better than big gains later: Thoughtfully planning before using solutions like spreadsheets, word processing, email, and instant messaging could save us time at work and help us get home 30 minutes earlier or work a few hours less on the weekend.  But saving a few seconds now by brain-dumping into Word, setting up a “flexible” spreadsheet, and firing off a text feels much better.

Confidence > Realism: We’ve all been in meetings where the loudest voice or the most senior person’s opinion carried the day.  As we follow their lead, we ignore signs that we’re wrong and explain away unexpected and foreboding outcomes until we either wake up to our mistakes or adjust to our new circumstances.

Predict the 93%. Create for the 7%

Acknowledging the predictability of human behavior is not an endorsement of stereotypes but a recognition of our innate cognitive processes. By incorporating this understanding into design, innovation, and decision-making processes, we better anticipate potential outcomes and mitigate unintended consequences.

While 93% of human behavior may follow predictable patterns rooted in evolutionary instincts, focusing on the remaining 7% allows for the exploration of unique behaviors and novel solutions.  By embracing both aspects of human nature, we can navigate challenges more effectively and anticipate a broader range of outcomes in our endeavors, leading to informed decision-making and value creation.

Now, if I could only get Excel to stop auto-converting numbers into date/time format.

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

Positive Power of Negative Emotions Drive Change

Positive Power of Negative Emotions Drive Change

GUEST POST from Robyn Bolton

You want to make life better for others. This desire is reflected in the optimism and positivity of your language – create value, love the problem, and delight the customer.  But making life better requires change, and, as the adage goes, “People want change, but they don’t want to be changed.”

You are confident that the solution you created will make life better and that the change people need to make is quite small and painless, well worth the dramatic improvement you offer.  Yet they resist.  No amount of explaining, showing, convincing, or cajoling changes their mind.  What else can you do?

To quote Darth Vader, “Give yourself to the Dark Side.  It is the only way to save your friends.”

“If only you knew the power of the Dark Side…”

The Dark Side is populated by “negative” emotions like anger, fear, and frustration, which are incredibly powerful.

Consider that:

Unfortunately, these are also some of the first emotions experienced when confronting change.   

Change requires people to let go of what they know in exchange for the promise of something better.  This immediately triggers Loss Aversion, the cognitive bias in which the pain of losing is psychologically twice as powerful as the pleasure of gaining. 

As a result, people won’t let go of what they know until the pain of holding on becomes unbearable.  When you point out the problems and pain of the current situation, you help people understand and experience the unbearableness of the current situation. 

“Anger, fear, aggression; the Dark Side of the Force are they”

Not every “negative” emotion elicits the same behavior, so carefully choose the one to tap into.

Fear motivates people to seek safety, which can be good if your solution truly offers a safer alternative.  It’s a motivator used well by companies such as Volvo, SimpliSafe, and Graco.  But lean on it too much, and people may feel overwhelmed and remain frozen to the status quo.

Anger motivates people to take risks, which can be good when the change requires bold decisions and dogged persistence.  It can be great when it bonds people together to achieve a shared goal or protect a common value.  Apple used this emotion to brilliant effect in its famous “1984” commercial announcing the launch of Macintosh.  But incite too much anger, and things can get broken and not in a helpful way like Apple’s ad.

Frustration, one of the emotions that often drives aggression, is anger’s polite little sister.  When people feel frustrated, they’re likely to act, persistently pursue solutions, and creatively approach and overcome obstacles.  But if the change is big, feels scary, and puts their sense of self at risk, frustration isn’t powerful enough to convince people to let go of the old and embrace the new.

“If you start down the dark path, forever will it dominate your destiny.”

Yoda is incredibly wise, but he gets this one wrong.  Using the Dark Side to speak to people’s “negative” emotions doesn’t doom you to a life or career of fear-mongering or inciting violence.  Start here, don’t stay here.

Multiple research studies show that positive emotions, like hope and joy, are more powerful than negative ones in maintaining motivation and even enable more creative thinking and problem-solving.  By speaking to both negative and positive emotions, the Dark Side and the Light, you enable change by giving people a reason to let go of the past and a future worth reaching for.

When people stop resisting and start reaching to the future you’re offering, change happens, and you realize that Yoda was right, “Luminous beings are we, not this crude matter.”

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

Good Intentions Pave the Way to Innovation Hell

The road to hell is paved with good intentions, and nowhere is that more true than in innovation.

Good Intentions Pave the Way to Innovation Hell

GUEST POST from Robyn Bolton

That’s one of the insights I took away from InnoLead’s Q1 report on corporate innovation priorities.  The report is an eye-opening look at the impact of AI on corporate innovation as experienced by corporate entrepreneurs themselves.  But before deep diving into that topic, the report’s authors shared intriguing data about member companies’ innovation structure, leadership engagement, organizational connections, and results. Nestled amongst the charts were several that, when taken together, got my Spidey senses tingling.

61.0% of innovation teams are “directly under a high-visibility leader with a broad company focus.”

This is great because innovation needs senior leaders’ support and active engagement to survive, let alone survive for long enough to produce meaningful results. Add this to the fact that 45% of senior leadership teams frequently discuss the “progress and value of the innovation program,” and all signs point to innovation as a strategic priority.

But (you knew there was a but, didn’t you)…

If “broad company focus” means “no P&L responsibility,” we have a problem.  In every for-profit company I’ve worked for and with, people with P&L responsibility have greater power, influence, and access to resources than people without a P&L.  This division may not feel fair, but it makes sense – the people who bring in profit and revenue will always be more influential than people who represent “cost centers.”

You can see the impact of P&L owners who are, understandably, focused entirely on delivering short-term results throughout the report – 75% of companies have shifted their focus more towards near-term priorities, and 61% shifted their innovation portfolio away from Horizon 3 (also known as radical, breakthrough, or disruptive innovation).

As for all those discussions, it’d be great if they focused on walking the talk of innovation. But suppose it’s only innovation platitudes or, worse, questioning innovation’s ROI. That doesn’t bode well for the “high-visibility leader with broad company focus,” the innovation team, or the company’s culture.

71.2% of innovation teams’ customers or business partners are unaware of the team’s existence, don’t engage, or engage only occasionally.

Welcome to Innovation Island!  Where the cool people work on cool things in cool offices while all you drones slave away doing the same thing you’ve always done and making the money that pays for the cool people to do cool things in their cool offices.

I’m sure this isn’t the message the innovation team intends to send, but it’s the one received by most organizations.

When arguing for Innovation Island, managers often point to the organizational antibodies likely to swarm and kill H3/radical/breakthrough innovation and even some H2/adjacent innovations.  They’re right, and those innovations must be “protected.” But not every innovation needs protection.  H2 and certainly H1 innovations, where most portfolios are now, should be shared with the core business because the core business will eventually run them.

The bigger problem, in my opinion, is that innovation teams don’t seem to be reaching out to others in the organization.  Like the P&L owners they report to, people in the core business are busy running the business and generating revenue.  Very few have the time or energy to seek out the innovation team to discuss and explore innovation.  Companies that want to build a culture of innovation need to turn their innovators into evangelists, not residents of an island connected to the mainland by a single drawbridge.

23.4% of innovation teams are considered outsiders or actively undermined by other functions and business units.

This may not sound bad, but add to it the 55.0% that are “somewhat integrated with occasional collaboration” with other departments and business units, and you may be tempted to believe that Innovation Island would be wise to invest in a surface-to-air missile defense system.

Sadly, this perception of the innovation team as “The Others” isn’t surprising when considering that the most important tactic for building a relationship between innovation and the functions or business units is already having strong relationships and interpersonal trust (75.3% of respondents).  The least effective (4.7% of respondents) is “writing down shared objectives and expectations.”  So, no, the email you sent is not enough to win friends and influence people.

Bottom line

Well-intended companies appoint a senior executive to lead the innovation team because they’ve been told that doing so is powerful proof that innovation is a strategic priority.  They hire outsiders to inject new thinking into the organization because they know that “what got you here won’t get you there.”  They cordon the team and their work off from the rest of the organization because they read that separation is essential to preserving innovation’s disruptive nature. 

But if the senior executive doesn’t have the organizational power and influence that comes with P&L ownership, the team doesn’t have strong personal relationships with others in the business, and other functions and business units don’t know the team exists or how to interact with it, innovation will go nowhere.

But that’s better than where it could go.

Image credit: Unsplash

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

Challenging the Assumption of the Status Quo

(A Lesson Learned from Yogurt)

Challenging the Assumption of the Status Quo

GUEST POST from Robyn Bolton

In September 2006, I moved to Copenhagen, Denmark, on a temporary assignment with BCG.  As one does when arriving somewhere for an extended period, I went to the grocery store to stock my kitchen. 

Since the grocery store was on the ground floor of my building, I bought enough food for a few breakfasts and dinners, made note of the other offerings for future trips, and learned through painful public embarrassment that one must purchase grocery bags (and those bags are nowhere near the checkout lane).

The following day, yogurt was on the menu, and I grabbed the first of the three options I had bought the previous day – a small container of strawberry yogurt.

My heart sank when I peeled off the top.

Instead of super healthy, organic, natural (I’m in Scandinavia, for crying out loud!) yogurt, the stuff in my cup was a rather suspicious beige with dark brown flecks.

Stifling my instinct to dry heave, I chucked the cup into the garbage, along with the five other cups in the clearly spoiled pack, and pulled Brand #2 out of the refrigerator.  Surely, this strawberry yogurt would be safe to eat.

But it, too, was beige.  A lighter beiger and without the disturbing brown flecks.  But still beige.

“You’ve got to be kidding me,” I muttered.  Admittedly, the grocery store was more of a glorified convenience store, but c’mon, how hard is it to keep track of Sell By dates?

Into the garbage, it went.  Out of the refrigerator came Brand #3 (Yes, I take a portfolio approach to innovation AND food purchases)

Closing my eyes and saying a quick prayer to both the grocery and yogurt gods, I peeled open the yogurt. Not beige but a slight hint of pink, just enough to reassure me that it contained strawberries and hadn’t curdled but not so much that I suspected an American-amount of food coloring.

Later that day…

At lunch, my new colleagues asked how I was settling in.  I regaled them with my “bumbling American experiencing culture shock in a country where she looks (and is initially treated like) a local” stories. 

As we gathered up our dishes and returned to the kitchen, I commented that I was surprised that my local grocery would keep expired products on the shelf.  When they echoed my surprise, I told them about the spoiled yogurt and that 2 of the three brands I purchased were bad.

Based on the glances they exchanged, I knew I had another story to add to an already uncomfortably full book.

It turns out that. The “good” yogurt I ate that morning was from the lowest quality brand, one that no self-respecting Dane would consider eating but that is sold to unsuspecting foreigners (Hi, that’s me).  The “bad” yogurt was from respected all-natural brands.  All yogurt, they explained, falls somewhere in the spectrum from white to beige or even tan. That’s why they print the flavor name and a picture of the fruit on the label.

How often do we make the same mistake?

How often do we reject something because it’s not what we expect to see?  Because it’s not what we’re used to?

Maybe not often when it comes to yogurt, but what about other more important things, like:

  • Trends
  • Technologies
  • Ideas
  • Business Models
  • Startups
  • People

And what happens when we don’t have people willing to point out that we’re no longer in a place where our status quo applies?

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

3 Steps to Building a Psychologically Safe Environment

or The No-Cost, No-Hug Secret to Smarter Teams

3 Steps to Building a Psychologically Safe Environment

GUEST POST from Robyn Bolton

Welcome to the exciting conclusion of “Everything You Ever Wanted to Know About Psychological Safety but Were Afraid to Ask.”

Our generous expert, Alla Weinberg, CEO and Culture designer at Spoke & Wheel, has been patiently leading us beyond and through the buzzy frothiness that we (I) usually associate with Psychological Safety and into the deeply powerful and absolutely essential core elements.

In Part 1, we learned that psychological safety is more neuroscience than psychology (and required to be your smartest self).

In Part 2, we learned the first step to creating safety (and why corporate mandates are antithetical to the goal). 

Today, we’re going where we need but don’t want to go – how to create a psychologically safe environment so everyone can thrive.


If Step 1 in creating Psychological Safety is verbalizing your emotions and understanding others’ emotions, I’m hoping Step 2 is easier.

Step two is relational intelligence.

There are three intelligences: emotional, relational, and systems

Relational intelligence is about understanding how to connect with different people, being aware when disconnection happens, and then acknowledging and repairing it. That last part is the most important because, without repair, there’s no safety.

Are you saying that saying, “I’m sorry” is essential to building psychological safety?  Because I would much rather ignore the issues and move on.  Or, better yet, pretend it never happened.

Nice try.  But you know as well as I do that people are messy, and when we come together, there’s tension and conflict, and someone will get hurt or make mistakes. It’s normal.  It’s okay as long as you know how to recover, repair, and heal.

The issue isn’t the conflict but how we handle it and whether we can repair it. I have a diagram of a relationship, which is a circle of connection, disconnection, and repair. We go around this circle just like breathing is inhaling and exhaling.  Relating, connecting, disconnecting, and repairing is what a relationship is.

OK, step 2 is relational intelligence which requires repairing relationships, so how do I do that?  Bonus points if I don’t have to admit to being wrong.

Not only do you have to admit that, but you also need to take responsibility for your impact, not just your intentions. Intentions are great, but without action, they don’t mean much.

When apologizing, we tend to try to explain ourselves.  For example, we say, “I didn’t say anything in that meeting, and I’m sorry, but that wasn’t my intention, and I wanted to, but I had my own issue.” Instead, we should say, “I didn’t say anything in that meeting, and I’m sorry.”

When you apologize, don’t say “but.” To repair a relationship, you must take responsibility for your actions and their impact. Saying “but” negates all of that.

(head now on the desk because this is a lot to take in): I’m afraid to ask what Step 3 is, but I will practice verbalizing my feelings and ask anyway.  What’s Step 3?

You’re doing great.  This is a lot, and it’s ok that you feel overwhelmed.

Step 3 is systems intelligence, which focuses on the relationships within an organization that gives rise to its culture. Systems thinking is about understanding how structures, policies, processes, and relationships interact to create a greater whole,

Systems thinking!  We’re getting back to left-brained stuff now.  I’m feeling better.

Yes, and since connection is core to psychological safety, systems thinking tells us that we must fundamentally rethink how people work together by centering connection.

How do we do that?

We must reinvent, innovate, and rethink how we work together.

Lack of safety leads to power struggles, walls, and departmental rivalries, creating divisions and “othering.”

Hierarchy doesn’t align with connection, but shared leadership does. Hierarchy erodes trust because you need manager approvals, beg for budgets, or are told to prove your worth to get a seat at the table.

Silos are another problem because they lead to turf wars and people making decisions to protect themselves or their team rather than do what’s best for the greater good. 

Look, I love challenging the status quo, but you’re suggesting that we burn it all to the ground and start over.

(Laughing) I don’t lead with that.  When I work with organizations, I start with meetings.

Most meetings focus on work topics like status, decisions, and updates. But where are the meetings where we discuss emotions, share personal stories, and express hurt feelings? Everything shifts when we center connection.

Isn’t that called therapy?

Organizations value information, right?  Emotions are information.

Emotions reside in our bodies, but in many organizations, the focus is on the intellect.  It’s as if the head is the only important part, and the body is merely a vessel to transport the head from meeting to meeting.

And that brings us full circle to why psychological safety is mostly neuroscience.  Our body houses our nervous system, where we feel safety or the lack thereof. So, when people talk about bringing their whole selves to work, I mean our entire body, not just the intellect. Our bodies contain wisdom and information that we often overlook and undervalue, yet this is where the crucial information resides to create psychological safety.

We don’t think of emotions as information.  We think of them as signs of weakness, and you can’t be weak and successful.

It’s a lot of fear because how we’ve worked for the last 50 years gave us an illusion of certainty.  Acknowledging that there is no certainty and that we’re in entirely uncharted territory is scary, and there’s a fear that everything will fall apart. We think the business won’t survive if we do it the other way.

I respect that fear. It’s okay to be afraid. But if we acknowledge that all of this comes from fear, we will be open to new ideas or thoughts. For organizations that want to innovate, they must change how they work. You can’t keep doing the same thing and expect different results. You need to innovate your approach to work.

Thank you so much for all of this.  You’ve shared so much.  Some of it was hard to hear, but I think that’s also a sign that it’s important to hear.  Any last words of advice?

Give yourself and others permission to be human beings again.  Not robots or cogs, not human resources, but to be human beings. That includes our bodies, our emotions, our messiness, and our relationships with each other.


If you would like to learn more about Alla and her work, please visit her firm’s website, www.spokeandwheel.coand definitely download a FREE digital copy of her book, A Culture of Safety: Building a Work Environment Where People Can Think, Collaborate, and Innovate

Image Credit: Pexels

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Top 100 Innovation and Transformation Articles of 2023

Top 100 Innovation and Transformation Articles of 2023

2021 marked the re-birth of my original Blogging Innovation blog as a new blog called Human-Centered Change and Innovation.

Many of you may know that Blogging Innovation grew into the world’s most popular global innovation community before being re-branded as InnovationExcellence.com and being ultimately sold to DisruptorLeague.com.

Thanks to an outpouring of support I’ve ignited the fuse of this new multiple author blog around the topics of human-centered change, innovation, transformation and design.

I feel blessed that the global innovation and change professional communities have responded with a growing roster of contributing authors and more than 17,000 newsletter subscribers.

To celebrate we’ve pulled together the Top 100 Innovation and Transformation Articles of 2023 from our archive of over 1,800 articles on these topics.

We do some other rankings too.

We just published the Top 40 Innovation Bloggers of 2023 and as the volume of this blog has grown we have brought back our monthly article ranking to complement this annual one.

But enough delay, here are the 100 most popular innovation and transformation posts of 2023.

Did your favorite make the cut?

1. Fear is a Leading Indicator of Personal Growth – by Mike Shipulski

2. The Education Business Model Canvas – by Arlen Meyers

3. Act Like an Owner – Revisited! – by Shep Hyken

4. Free Innovation Maturity Assessment – by Braden Kelley

5. The Role of Stakeholder Analysis in Change Management – by Art Inteligencia

6. What is Human-Centered Change? – by Braden Kelley

7. Sustaining Imagination is Hard – by Braden Kelley

8. The One Movie All Electric Car Designers Should Watch – by Braden Kelley

9. 50 Cognitive Biases Reference – Free Download – by Braden Kelley

10. A 90% Project Failure Rate Means You’re Doing it Wrong – by Mike Shipulski

11. No Regret Decisions: The First Steps of Leading through Hyper-Change – by Phil Buckley

12. Reversible versus Irreversible Decisions – by Farnham Street

13. Three Maps to Innovation Success – by Robyn Bolton

14. Why Most Corporate Innovation Programs Fail (And How To Make Them Succeed) – by Greg Satell

15. The Paradox of Innovation Leadership – by Janet Sernack

16. Innovation Management ISO 56000 Series Explained – by Diana Porumboiu

17. An Introduction to Journey Maps – by Braden Kelley

18. Sprint Toward the Innovation Action – by Mike Shipulski

19. Marriott’s Approach to Customer Service – by Shep Hyken

20. Should a Bad Grade in Organic Chemistry be a Doctor Killer? – NYU Professor Fired for Giving Students Bad Grades – by Arlen Meyers, M.D.

21. How Networks Power Transformation – by Greg Satell

22. Are We Abandoning Science? – by Greg Satell

23. A Tipping Point for Organizational Culture – by Janet Sernack

24. Latest Interview with the What’s Next? Podcast – with Braden Kelley

25. Scale Your Innovation by Mapping Your Value Network – by John Bessant

26. Leveraging Emotional Intelligence in Change Leadership – by Art Inteligencia

27. Visual Project Charter™ – 35″ x 56″ (Poster Size) and JPG for Online Whiteboarding – by Braden Kelley

28. Unintended Consequences. The Hidden Risk of Fast-Paced Innovation – by Pete Foley

29. A Shortcut to Making Strategic Trade-Offs – by Geoffrey A. Moore

30. 95% of Work is Noise – by Mike Shipulski


Build a common language of innovation on your team


31. 8 Strategies to Future-Proofing Your Business & Gaining Competitive Advantage – by Teresa Spangler

32. The Nine Innovation Roles – by Braden Kelley

33. The Fail Fast Fallacy – by Rachel Audige

34. What is the Difference Between Signals and Trends? – by Art Inteligencia

35. A Top-Down Open Innovation Approach – by Geoffrey A. Moore

36. FutureHacking – Be Your Own Futurist – by Braden Kelley

37. Five Key Digital Transformation Barriers – by Howard Tiersky

38. The Malcolm Gladwell Trap – by Greg Satell

39. Four Characteristics of High Performing Teams – by David Burkus

40. ACMP Standard for Change Management® Visualization – 35″ x 56″ (Poster Size) – Association of Change Management Professionals – by Braden Kelley

41. 39 Digital Transformation Hacks – by Stefan Lindegaard

42. The Impact of Artificial Intelligence on Future Employment – by Chateau G Pato

43. A Triumph of Artificial Intelligence Rhetoric – Understanding ChatGPT – by Geoffrey A. Moore

44. Imagination versus Knowledge – Is imagination really more important? – by Janet Sernack

45. A New Innovation Sphere – by Pete Foley

46. The Pyramid of Results, Motivation and Ability – Changing Outcomes, Changing Behavior – by Braden Kelley

47. Three HOW MIGHT WE Alternatives That Actually Spark Creative Ideas – by Robyn Bolton

48. Innovation vs. Invention vs. Creativity – by Braden Kelley

49. Where People Go Wrong with Minimum Viable Products – by Greg Satell

50. Will Artificial Intelligence Make Us Stupid? – by Shep Hyken


Accelerate your change and transformation success


51. A Global Perspective on Psychological Safety – by Stefan Lindegaard

52. Customer Service is a Team Sport – by Shep Hyken

53. Top 40 Innovation Bloggers of 2022 – Curated by Braden Kelley

54. A Flop is Not a Failure – by John Bessant

55. Generation AI Replacing Generation Z – by Braden Kelley

56. ‘Innovation’ is Killing Innovation. How Do We Save It? – by Robyn Bolton

57. Ten Ways to Make Time for Innovation – by Nick Jain

58. The Five Keys to Successful Change – by Braden Kelley

59. Back to Basics: The Innovation Alphabet – by Robyn Bolton

60. The Role of Stakeholder Analysis in Change Management – by Art Inteligencia

61. Will CHATgpt make us more or less innovative? – by Pete Foley

62. 99.7% of Innovation Processes Miss These 3 Essential Steps – by Robyn Bolton

63. Rethinking Customer Journeys – by Geoffrey A. Moore

64. Reasons Change Management Frequently Fails – by Greg Satell

65. The Experiment Canvas™ – 35″ x 56″ (Poster Size) – by Braden Kelley

66. AI Has Already Taken Over the World – by Braden Kelley

67. How to Lead Innovation and Embrace Innovative Leadership – by Diana Porumboiu

68. Five Questions All Leaders Should Always Be Asking – by David Burkus

69. Latest Innovation Management Research Revealed – by Braden Kelley

70. A Guide to Effective Brainstorming – by Diana Porumboiu

71. Unlocking the Power of Imagination – How Humans and AI Can Collaborate for Innovation and Creativity – by Teresa Spangler

72. Rise of the Prompt Engineer – by Art Inteligencia

73. Taking Care of Yourself is Not Impossible – by Mike Shipulski

74. Design Thinking Facilitator Guide – A Crash Course in the Basics – by Douglas Ferguson

75. What Have We Learned About Digital Transformation Thus Far? – by Geoffrey A. Moore

76. Building a Better Change Communication Plan – by Braden Kelley

77. How to Determine if Your Problem is Worth Solving – by Mike Shipulski

78. Increasing Organizational Agility – by Braden Kelley

79. Mystery of Stonehenge Solved – by Braden Kelley

80. Agility is the 2023 Success Factor – by Soren Kaplan


Get the Change Planning Toolkit


81. The Five Gifts of Uncertainty – by Robyn Bolton

82. 3 Innovation Types Not What You Think They Are – by Robyn Bolton

83. Using Limits to Become Limitless – by Rachel Audige

84. What Disruptive Innovation Really Is – by Geoffrey A. Moore

85. Today’s Customer Wants to Go Fast – by Shep Hyken

86. The 6 Building Blocks of Great Teams – by David Burkus

87. Unlock Hundreds of Ideas by Doing This One Thing – Inspired by Hollywood – by Robyn Bolton

88. Moneyball and the Beginning, Middle, and End of Innovation – by Robyn Bolton

89. There are Only 3 Reasons to Innovate – Which One is Yours? – by Robyn Bolton

90. A Shortcut to Making Strategic Trade-Offs – by Geoffrey A. Moore

91. Customer Experience Personified – by Braden Kelley

92. 3 Steps to a Truly Terrific Innovation Team – by Robyn Bolton

93. Building a Positive Team Culture – by David Burkus

94. Apple Watch Must Die – by Braden Kelley

95. Kickstarting Change and Innovation in Uncertain Times – by Janet Sernack

96. Take Charge of Your Mind to Reclaim Your Potential – by Janet Sernack

97. Psychological Safety, Growth Mindset and Difficult Conversations to Shape the Future – by Stefan Lindegaard

98. 10 Ways to Rock the Customer Experience In 2023 – by Shep Hyken

99. Artificial Intelligence is Forcing Us to Answer Some Very Human Questions – by Greg Satell

100. 23 Ways in 2023 to Create Amazing Experiences – by Shep Hyken

Curious which article just missed the cut? Well, here it is just for fun:

101. Why Business Strategies Should Not Be Scientific – by Greg Satell

These are the Top 100 innovation and transformation articles of 2023 based on the number of page views. If your favorite Human-Centered Change & Innovation article didn’t make the cut, then send a tweet to @innovate and maybe we’ll consider doing a People’s Choice List for 2023.

If you’re not familiar with Human-Centered Change & Innovation, we publish 1-6 new articles every week focused on human-centered change, innovation, transformation and design insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook feed or on Twitter or LinkedIn too!

Editor’s Note: Human-Centered Change & Innovation is open to contributions from any and all the innovation & transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have a valuable insight to share with everyone for the greater good. If you’d like to contribute, contact us.

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.






Eddie Van Halen, Simultaneous Innovation and the AI Regulation Conundrum

Eddie Van Halen, Simultaneous Innovation and the AI Regulation Conundrum

GUEST POST from Pete Foley

It’s great to have an excuse to post an Eddie Van Halen video to the innovation community.  It’s of course fun just to watch Eddie, but I also have a deeper, innovation relevant reason for doing so.

Art & Science:  I’m a passionate believer in cross-pollination between art and science.  And I especially believe we can learn a great deal from artists and musicians like Eddie who have innovated consistently over a career.  Dig into their processes, and we see serial innovators like The Beatles, Picasso, Elton John, Bowie, George Martin, Freddie Mercury, William Gibson, Lady Gaga, Paul Simon and so many others apply techniques that are highly applicable to all innovation fields. Techniques such as analogy, conceptual blending, collaboration, reapplication, boundary stretching, risk taking, learning from failure and T-Shaped innovation all crop up fairly consistently.  And these creative approaches are typically also built upon deep expertise, passion, motivation, and an ability to connect with future consumer needs, and to tap into early adopters and passionate consumers.  For me at least, that’s a pretty good innovation toolkit for innovation in any field.  Now, to be fair, often their process is intuitive, and many truly prolific artists are lucky enough to automatically and intuitively ‘think that way’. But understanding and then stealing some of their techniques, either implicit or explicit, can be a great way to both jump-start our own innovative processes, and also to understand how innovation works. As Picasso said, ‘great artists steal’, but I’d argue that so do good innovators, at least within the bounds allowed by the patent literature!

In the past I’ve written quite a lot about Picasso and The Beatles use of conceptual blending, Paul Simon’s analogies, reapplication and collaboration, Bowie’s innovative courage, and William Gibson’s ability to project s-curves.  Today, I’d like to to focus on some insights I see in the guitar innovations of Eddie.   

(a) Parallel or Simultaneous Innovation.  I suspect this is one of the most important yet under-appreciated concepts in innovation today. Virtually every innovation is built upon the shoulders of giants. Past innovations provide the foundation for future ones, to the point where once the pieces of the puzzle are in place, many innovations become inevitable. It still takes an agile and creative mind to come up with innovative ideas, but contemporary innovations often set the stage for the next leap forward. And this applies both to the innovative process, and also to a customers ability to understand and embrace it. The design of the first skyscraper was innovative, but it was made a lot more obvious by the construction of the Eiffel Tower. The ubiquitous mobile phone may now seem obvious, but it owes its existence to a very long list of enabling technologies that paved the way for it’s invention, from electricity to chips to Wi-Fi, etc.

The outcome of this ‘stage setting’ is that often even really big innovations occur simultaneously yet independently.  We’ve seen this play out with calculus (independently developed by Newton and Leibnitz), the atomic bomb, where Oppenheimer and company only just beat the Nazi’s, the theory of evolution, the invention of the thermometer, nylon and so many others.  We even see it in evolution, where scavenger birds vultures and condors superficially appear quite similar due to adaptations that allow them to eat carrion, but actually have quite different genetic lineages.  Similarly many marsupials look very similar to placental mammals that fill similar ecological niches, but typically evolved independently. Context has a huge impact on innovation, and similar contexts typical create parallel, and often similar innovations. As the world becomes more interconnected, and context becomes more homogenized, we are going to see more and more examples of simultaneous innovation.

Faster and More Competitive Innovation:  Today social media, search technology and the web mean that more people know more of the same ‘stuff’ more quickly than before.  This near instantaneous and democratized access to the latest knowledge sets the scene and context for a next generation of innovation that is faster and more competitive than we’ve ever seen.   More people have access to the pieces of the puzzle far more quickly than ever before; background information that acts as a precursor for the next innovative leap. Eddie had to go and watch Jimmy Paige live and in person to get his inspiration for ‘tapping’.  Today he, and a few million others would simply need to go onto YouTube.  He therefore discovered Paige’s hammer-on years after Paige started using them.  Today it would likely be days.  That acceleration of ‘innovation context’ has a couple of major implications: 

1.  If you think you’ve just come up with something new, it’s more than likely that several other people have too, or will do so very soon.   More than ever before you are more than likely in a race from the moment you have an idea! So snooze and you loose. Assume several others are working on the same idea.

2.  Regulating Innovation is becoming really, really difficult.  I think this is possibly the most profound implication.  For example, a very current and somewhat contentious topic today is if and how we should regulate AI.  And it’s a pretty big decision. We really don’t know how AI will evolve, but it is certainly moving very quickly, and comes with the potential for earthshaking pros and cons.  It is also almost inevitably subject to simultaneous invention.  So many people are working on it, and so much adjacent innovation is occurring, that it’s somewhat unlikely that any single group is going to get very far out in front.   The proverbial cat is out of the bag, and the race is on. The issue for regulation then becomes painfully obvious.   Unless we can somehow implement universal regulation, then any regulations simply slow down those who follow the rules.  This unfortunately opens the doors to bad actors taking the lead, and controlling potentially devastating technology.

So we are somewhat damned if we do, and damned if we don’t.  If we don’t regulate, then we run the risk of potentially dangerous technology getting out of control.  But if do regulate, we run the risk of enabling bad actors to own that dangerous technology.  We’ve of course been here before.  The race for the nuclear bomb between the Allies and the Nazi’s was a great example of simultaneous innovation with potentially catastrophic outcomes.   Imagine if we’d decided fission was simply too dangerous, and regulated it’s development to the point where the Nazi’s had got there first.  We’d likely be living in a very different world today!  Much like AI, it was a tough decision, as without regulation, there was a small but possible scenario where the outcome could have been devastating.    

Today we have a raft of rapidly evolving technologies that I’d both love to regulate, but am also profoundly worried about the unintended consequences of doing so.  AI of course, but also genetic engineering, gene manipulating medicines, even climate mediation and behavioral science!  With respect to the latter, the better we get at nudging behavior, and the more reach we have with those techniques, the more dangerous miss-use becomes.  

The core problem underlying all of this is that we are human.   Most people try to do the right thing, but there are always bad actors.  And even those trying to do the right thing all too often get it wrong.  And the more democratized access to cutting edge insight becomes, parallel innovation means the more contenders we have for mistakes and bad bad choices, intentional or unintentional. 

(b) Innovation versus Invention:  A less dramatic, but I think similarly interesting insight we can draw from Eddie lies in the difference between innovation and invention He certainly wasn’t the first guitarist to use the tapping technique.  That goes back centuries! At least as far as classical composer Paganini, and it was a required technique for playing the Chapman stick in the 1970’s, popularized by the great Tony Levin in King Crimson. It was also widely, albeit sparingly (and often obscurely) used by jazz guitarists in the 1950’s and 60’s. But Eddie was the first to feature it, and turn it into a meaningful innovation in of itself. Until him, nobody had packaged the technique in a way that it could be ‘marketed’ and ‘sold’ as a viable product. He found the killer application, made it his own, and made it a ‘thing’. I would therefore argue that he wasn’t the inventor, but he was the ‘innovator’.  This points to the value of innovation over invention.  If you don’t have the capability or the partners to turn an invention into something useful, its still just an idea.   Invention is a critical part of the broader innovation process, but in isolation it’s more curiosity than useful. Innovation is about reduction to practice and communication as well a great ideas

Art & science:  I love the arts.  I play guitar, paint, and photograph.  It’s a lot of fun, and provides a invaluable outlet from the stresses involved in business and innovation.  But as I suggested at the beginning, a lot of the boundaries we place between art and science, and by extension business, are artificial and counter-productive. Some of my most productive collaborations as a scientist have been with designers and artists. As a visual scientist, I’ve found that artists often intuitively have a command of attentional insights that our cutting edge science is still trying to understand.  It’s a lot of fun to watch Eddie Van Halen, but learning from great artists like him can, via analogy, also be surprisingly insightful and instructive.   

Image credits: Unsplash

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

AI and Human Creativity Solving Complex Problems Together

AI and Human Creativity Solving Complex Problems Together

GUEST POST from Janet Sernack

A recent McKinsey Leading Off – Essentials for leaders and those they lead email newsletter, referred to an article “The organization of the future: Enabled by gen AI, driven by people” which stated that digitization, automation, and AI will reshape whole industries and every enterprise. The article elaborated further by saying that, in terms of magnitude, the challenge is akin to coping with the large-scale shift from agricultural work to manufacturing that occurred in the early 20th century in North America and Europe, and more recently in China. This shift was powered by the defining trait of our species, our human creativity, which is at the heart of all creative problem-solving endeavors, where innovation is the engine of growth, no matter, what the context.

Moving into Unchartered Job and Skills Territory

We don’t yet know what exact technological, or soft skills, new occupations, or jobs will be required in this fast-moving transformation, or how we might further advance generative AI, digitization, and automation.

We also don’t know how AI will impact the need for humans to tap even more into the defining trait of our species, our human creativity. To enable us to become more imaginative, curious, and creative in the way we solve some of the world’s greatest challenges and most complex and pressing problems, and transform them into innovative solutions.

We can be proactive by asking these two generative questions:

  • What if the true potential of AI lies in embracing its ability to augment human creativity and aid innovation, especially in enhancing creative problem solving, at all levels of civil society, instead of avoiding it? (Ideascale)
  • How might we develop AI as a creative thinking partner to effect profound change, and create innovative solutions that help us build a more equitable and sustainable planet for all humanity? (Hal Gregersen)

Because our human creativity is at the heart of creative problem-solving, and innovation is the engine of growth, competitiveness, and profound and positive change.

Developing a Co-Creative Thinking Partnership

In a recent article in the Harvard Business Review “AI Can Help You Ask Better Questions – and Solve Bigger Problems” by Hal Gregersen and Nicola Morini Bianzino, they state:

“Artificial intelligence may be superhuman in some ways, but it also has considerable weaknesses. For starters, the technology is fundamentally backward-looking, trained on yesterday’s data – and the future might not look anything like the past. What’s more, inaccurate or otherwise flawed training data (for instance, data skewed by inherent biases) produces poor outcomes.”

The authors say that dealing with this issue requires people to manage this limitation if they are going to treat AI as a creative-thinking partner in solving complex problems, that enable people to live healthy and happy lives and to co-create an equitable and sustainable planet.

We can achieve this by focusing on specific areas where the human brain and machines might possibly complement one another to co-create the systemic changes the world badly needs through creative problem-solving.

  • A double-edged sword

This perspective is further complimented by a recent Boston Consulting Group article  “How people can create-and destroy value- with generative AI” where they found that the adoption of generative AI is, in fact, a double-edged sword.

In an experiment, participants using GPT-4 for creative product innovation outperformed the control group (those who completed the task without using GPT-4) by 40%. But for business problem solving, using GPT-4 resulted in performance that was 23% lower than that of the control group.

“Perhaps somewhat counterintuitively, current GenAI models tend to do better on the first type of task; it is easier for LLMs to come up with creative, novel, or useful ideas based on the vast amounts of data on which they have been trained. Where there’s more room for error is when LLMs are asked to weigh nuanced qualitative and quantitative data to answer a complex question. Given this shortcoming, we as researchers knew that GPT-4 was likely to mislead participants if they relied completely on the tool, and not also on their own judgment, to arrive at the solution to the business problem-solving task (this task had a “right” answer)”.

  • Taking the path of least resistance

In McKinsey’s Top Ten Reports This Quarter blog, seven out of the ten articles relate specifically to generative AI: technology trends, state of AI, future of work, future of AI, the new AI playbook, questions to ask about AI and healthcare and AI.

As it is the most dominant topic across the board globally, if we are not both vigilant and intentional, a myopic focus on this one significant technology will take us all down the path of least resistance – where our energy will move to where it is easiest to go.  Rather than being like a river, which takes the path of least resistance to its surrounding terrain, and not by taking a strategic and systemic perspective, we will always go, and end up, where we have always gone.

  • Living our lives forwards

According to the Boston Consulting Group article:

“The primary locus of human-driven value creation lies not in enhancing generative AI where it is already great, but in focusing on tasks beyond the frontier of the technology’s core competencies.”

This means that a whole lot of other variables need to be at play, and a newly emerging set of human skills, especially in creative problem solving, need to be developed to maximize the most value from generative AI, to generate the most imaginative, novel and value adding landing strips of the future.

Creative Problem Solving

In my previous blog posts “Imagination versus Knowledge” and “Why Successful Innovators Are Curious Like Cats” we shared that we are in the midst of a “Sputnik Moment” where we have the opportunity to advance our human creativity.

This human creativity is inside all of us, it involves the process of bringing something new into being, that is original, surprising useful, or desirable, in ways that add value to the quality of people’s lives, in ways they appreciate and cherish.

  • Taking a both/and approach

Our human creativity will be paralysed, if we focus our attention and intention only on the technology, and on the financial gains or potential profits we will get from it, and if we exclude the possibilities of a co-creative thinking partnership with the technology.

To deeply engage people in true creative problem solving – and involving them in impacting positively on our crucial relationships and connectedness, with one another and with the natural world, and the planet.

  • A marriage between creatives, technologists, and humanities

In a recent Fast Company video presentation, “Innovating Imagination: How Airbnb Is Using AI to Foster Creativity” Brian Chesky CEO of Airbnb, states that we need to consider and focus our attention and intention on discovering what is good for people.

To develop a “marriage between creatives, technologists, and the humanities” that brings the human out and doesn’t let technology overtake our human element.

Developing Creative Problem-Solving Skills

At ImagineNation, we teach, mentor, and coach clients in creative problem-solving, through developing their Generative Discovery skills.

This involves developing an open and active mind and heart, by becoming flexible, adaptive, and playful in the ways we engage and focus our human creativity in the four stages of creative problem-solving.

Including sensing, perceiving, and enabling people to deeply listen, inquire, question, and debate from the edges of temporarily hidden or emerging fields of the future.

To know how to emerge, diverge, and converge creative insights, collective breakthroughs, an ideation process, and cognitive and emotional agility shifts to:

  • Deepen our attending, observing, and discerning capabilities to consciously connect with, explore, and discover possibilities that create tension and cognitive dissonance to disrupt and challenge the status quo, and other conventional thinking and feeling processes.
  • Create cracks, openings, and creative thresholds by asking generative questions to push the boundaries, and challenge assumptions and mental and emotional models to pull people towards evoking, provoking, and generating boldly creative ideas.
  • Unleash possibilities, and opportunities for creative problem solving to contribute towards generating innovative solutions to complex problems, and pressing challenges, that may not have been previously imagined.

Experimenting with the generative discovery skill set enables us to juggle multiple theories, models, and strategies to create and plan in an emergent, and non-linear way through creative problem-solving.

As stated by Hal Gregersen:

“Partnering with the technology in this way can help people ask smarter questions, making them better problem solvers and breakthrough innovators.”

Succeeding in the Age of AI

We know that Generative AI will change much of what we do and how we do it, in ways that we cannot yet anticipate.

Success in the age of AI will largely depend on our ability to learn and change faster than we ever have before, in ways that preserve our well-being, connectedness, imagination, curiosity, human creativity, and our collective humanity through partnering with generative AI in the creative problem-solving process.

Find Out More About Our Work at ImagineNation™

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

It is a blended and transformational change and learning program that will give you a deep understanding of the language, principles, and applications of an ecosystem focus, human-centric approach, and emergent structure (Theory U) to innovation, and upskill people and teams and develop their future fitness, within your unique innovation context. Find out more about our products and tools.

Image Credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

LEGO Knows Why Companies Don’t Innovate

LEGO Knows Why Companies Don't Innovate

GUEST POST from Robyn Bolton

“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

Recently, LEGO found itself doing the Walk of Atonement (see video below) 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.

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!

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?

Image Credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

The Comforter Cold War of 2006

(or How Assumptions Stifle Innovation)

The Comforter Cold War of 2006

GUEST POST from Robyn Bolton

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?

Image Credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.