Top 10 Human-Centered Change & Innovation Articles of November 2025

Top 10 Human-Centered Change & Innovation Articles of November 2025Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are November’s ten most popular innovation posts:

  1. Eight Types of Innovation Executives — by Stefan Lindegaard
  2. Is There a Real Difference Between Leaders and Managers? — by David Burkus
  3. 1,000+ Free Innovation, Change and Design Quotes Slides — by Braden Kelley
  4. The AI Agent Paradox — by Art Inteligencia
  5. 74% of Companies Will Die in 10 Years Without Business Transformation — by Robyn Bolton
  6. The Unpredictability of Innovation is Predictable — by Mike Shipulski
  7. How to Make Your Employees Thirsty — by Braden Kelley
  8. Are We Suffering from AI Confirmation Bias? — by Geoffrey A. Moore
  9. How to Survive the Next Decade — by Robyn Bolton
  10. It’s the Customer Baby — by Braden Kelley

BONUS – Here are five more strong articles published in October that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

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Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last four years:

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Bridging Differences to Drive Creativity and Innovation

Bridging Differences to Drive Creativity And Innovation

GUEST POST from Greg Satell

I have a friend who was once ambushed on a TV show panel. Being confronted with a clearly offensive remark, she was caught off-guard, said something that was probably unwise (but not untrue or unkind), and found herself at the center of a media-driven scandal. It would cost her enormously, both personally and professionally.

I often think about the episode and not just because it hurt my friend, but also because I wonder what I would have done if put in similar circumstances. My friend, who is black, Muslim and female, is incredibly skilled at bridging differences and navigating matters of race, gender and religion. If she fell short, would I even stand a chance?

We are encouraged to think about matters of diversity in moral terms and, of course, that’s an important aspect. However, it is also a matter of developing the right skills. The better we are able to bridge differences, the more effectively we can collaborate with others who have different perspectives, which is crucial to becoming more innovative and productive.

The Challenge Of Diversity

There is no shortage of evidence that diversity can enhance performance. Researchers at the University of Michigan found that diverse groups can solve problems better than a more homogeneous team of greater objective ability. Another study that simulated markets showed that ethnic diversity deflated asset bubbles.

While those studies merely simulate diversity in a controlled setting, there is also evidence from the real world that diversity produces better outcomes. A McKinsey report that covered 366 public companies in a variety of countries and industries found that those which were more ethnically and gender diverse performed significantly better than others.

However, it takes effort to reap the benefits of diversity. Humans are naturally tribal. In a study of adults that were randomly assigned to “leopards” and “tigers,” fMRI studies noted hostility to out group members. Similar results were found in a study involving five year-old children and even in infants. Group identification, even without any of the normal social cues, is enough to produce bias.

The innate distinctions we make regarding each other carry over to work environments. When researchers at Kellogg and Stanford put together groups of college students to solve a murder mystery, teams made up of students from the same sorority or fraternity felt more successful, even though they performed worse on the task than integrated groups.

We rarely welcome someone who threatens our sense of self. So those outside the dominant culture are encouraged to conform and are often punished when they don’t. They are less often invited to join in routine office socializing and promotions are less likely to come their way. When things go poorly, it’s much easier to blame the odd duck than the trusted insider.

Group Identity And Individual Dignity

In western civilization, since at least the time of Descartes, we have traditionally thought in rational terms about how humans behave. We tend to assume that people examine facts to make judgments and that any disputes can be overcome through discussion and debate, through which we will arrive at an answer that is objectively correct.

Yet what if we actually did things in reverse, intuitively deciding what was right and then coming up with rational explanations for how we feel? Discussion and debate wouldn’t achieve anything. If rational arguments are merely explanations of deeply held intuitions, the “arguments” from the other side would seem to be downright lies or just crazy.

In The Righteous Mind, social psychologist Jonathan Haidt points to decades of evidence that suggest that is exactly how we do things. We rely on social intuitions to make judgments and then design logic to explain why we feel that way. He also makes the point that many of our opinions are a product of our inclusion in a particular group.

Hardly the product of cold logic, our opinions are, in large part, manifestations of our identity. Our ideas are not just things we think. They are expressions of who we think we are.

Talking Past Each Other

Clearly, the way we tend to self-sort ourselves into groups based on identity will shape how we perceive what we see and hear, but it will also affect how we share and access data. Recently, a team of researchers at MIT looked into how we share information — and misinformation — with those around us. What they found was troubling.

When we’re surrounded by people who think like us, we share information more freely because we don’t expect to be rebuked. We’re also less likely to check our facts, because we know that those we are sharing the item with will be less likely to inspect it themselves. So when we’re in a filter bubble, we not only share more, we’re also more likely to share things that are not true. Greater polarization leads to greater misinformation.

The truth is that we all have a need to be recognized and when others don’t share a view that we feel strongly about, it offends our sense of dignity. The danger, of course, is that in our rapture we descend into solipsism and fail to recognize the dignity of others. That can lead us to dangerous and ugly places.

In Timothy Snyder’s masterful book Bloodlands, which explores the mass murders of Hitler and Stalin, the eminent historian concludes that the reason that humans can do unspeakable things to other humans is that they themselves feel like victims. If your very survival is at stake, then just about anything is warranted and cruelty can seem like justice.

Once our individual dignity becomes tied to our group identity, a different perspective can feel like more than just an opposing opinion, but a direct affront and that’s what may have precipitated the public attack on my friend. The verbal assault was probably motivated by her assailant’s need to signal inclusion in an opposing tribe.

Building Shared Identity And Purpose

Our identity and sense of self drives a lot of what we see and do, yet we rarely examine these things because we spend most of our time with people who are a lot like us, who live in similar places and experience similar things. That’s why our innate perceptions and beliefs seem normal and those of others strange, because our social networks shape us that way.

As we conform to those around us, we are setting ourselves apart from those who are shaped by different sets of experiences. While there is enormous value to be unlocked by integrating with diverse perspectives, it takes work to be able to bridge those differences. What we hear isn’t always what others say and what we say isn’t what others always hear.

In his book, Identity, political scientist Francis Fukuyama explains that our identities aren’t fixed, but develop and change over time. In fact, we routinely choose to add facets to our identity, while shedding others, changing jobs, moving neighborhoods, breaking off some associations as we take on others. “Identity can be used to divide, but it can and has also been used to integrate,” Fukuyama writes.

Yet integrating identities takes effort. We first need to acknowledge that our truth isn’t the only truth and that others, looking at the same facts, can honestly come to different conclusions than we do. We need to suspend immediate judgment and devote ourselves to a common undertaking with a shared sense of mission and purpose.

This is no easy task. It takes significant effort. However, it is at this nexus of identity and purpose that creativity and innovation reside, because when we learn to collaborate with others who possess knowledge, skills and perspectives that we don’t, new possibilities emerge to achieve greater things.

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

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The Evolution of Trapped Value in Cloud Computing

The Evolution of Trapped Value in Cloud Computing

GUEST POST from Geoffrey A. Moore

Releasing trapped value drives the adoption of disruptive technology and subsequent category development. The trapped part inspires the technical innovation while the value part funds the business. As targeted trapped value gets released, the remaining value is held in place by a secondary set of traps, calling for a second generation of innovation, and a second round of businesses. This pattern continues until all the energy in the system is exhausted, and the economic priority shifts from growth to maintenance.

Take cloud computing for example. Amazon and Salesforce were early disrupters. The trapped value in retail was consumer access anytime anywhere. The trapped value in SaaS CRM was a corporate IT model that prioritized forecasting and reporting applications for upper management over tools for improving sales productivity in the trenches. As their models grew in success, however, they outgrew the data center operating model upon which they were based, and that was creating problems for both companies.

Help came from an unexpected quarter. Consumer computing, led by Google and Facebook, tackled the trapped value in the data center model by inventing the data-center-as-a-computer operation. The trapped value was in computers and network equipment that was optimized for scaling up to get more power. The new model relentlessly focused on commoditizing both, with stripped-down compute blocks and software-enabled switching—much to the consternation of the established hardware vendors who had no easy place to retreat to.

Their situation was further exacerbated by the rise of hyperscaler compute vendors who offered to outsource the entire enterprise footprint. But as they did, the value trap moved again, and this time it was the hyperscaler pricing model that was holding things back, particularly when switching costs were high. That has given rise to a hybrid architecture which at present is muddling its way through to a moderating norm. Here companies like Equinix and Digital Realty are helping enterprises combine approaches to find their optimal balance.

As this norm takes over more and more of the playing field, we may approach an asymptote of releasable trapped value at the computing layer. If so, that just means it will migrate elsewhere—in this case, up the stack. We are already seeing this in at least three areas of hypergrowth today:

  1. Cybersecurity, where the trapped value is in patching together component subsystems to address ongoing exposure to catastrophic risk.
  2. Content generation, where the trapped value is in time to market, as well as unfulfilled demand, for fresh digital media, both in consumer markets and in the enterprise.
  3. Co-piloting, where the trapped value is in low-yielding engagement with high-value digital services due to topic complexity and the lack of sophistication on the part of the end user.

All three of these opportunities will push further innovation in cloud computing, but the higher margins will now migrate to the next generation.

The net of all this is a fundamental investment thesis that applies equally well to venture investing, enterprise spending, and personal wealth management. As the Watergate pair of Woodward and Bernstein taught us many decades ago, Follow the money! In this case, the money is in the trapped value, so before you invest in any context, first identify the trapped value that when released will create the ROI you are looking for, and then monitor the early stages to determine if indeed it is getting released, and if so, that a fair share of the returns are coming back to you.

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

Image Credit: Pixabay

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Why 4D Printing is the Next Frontier of Human-Centered Change

The Adaptive Product

LAST UPDATED: November 29, 2025 at 9:23 AM

Why 4D Printing is the Next Frontier of Human-Centered Change

GUEST POST from Art Inteligencia

For centuries, the pinnacle of manufacturing innovation has been the creation of a static, rigid, and perfect form. Additive Manufacturing, or 3D printing, perfected this, giving us complexity without molds. But a seismic shift is underway, introducing the fourth dimension: time. 4D Printing is the technology that builds products designed to change their shape, composition, or functionality autonomously in response to environmental cues.

The innovation isn’t merely in the print, but in the programmable matter. These are objects with embedded behavioral code, turning raw materials into self-assembling, self-repairing, or self-adapting systems. For the Human-Centered Change leader, this is profoundly disruptive, moving design thinking from What the object is, to How the object behaves across its entire lifespan and in shifting circumstances.

The core difference is simple: 3D printing creates a fixed object. 4D printing creates a dynamic system.

The Mechanics of Transformation: Smart Materials

4D printing leverages existing 3D printing technologies (like Stereolithography or Fused Deposition Modeling) but uses Smart Materials instead of traditional static plastics. These materials have properties programmed into their geometry that cause them to react to external stimuli. The key material categories include:

  • Shape Memory Polymers (SMPs): These materials can be printed into one shape (Shape A), deformed into a temporary shape (Shape B), and then recover Shape A when exposed to a specific trigger, usually heat (thermo-responsive).
  • Hydrogels: These polymers swell or shrink significantly when exposed to moisture or water (hygromorphic), allowing for large-scale, water-driven shape changes.
  • Biomaterials and Composites: Complex structures combining stiff and responsive materials to create controlled folding, bending, or twisting motions.

This allows for the creation of Active Origami—intricate, flat-packed structures that self-assemble into complex 3D forms when deployed or activated.

Case Study 1: The Self-Adapting Medical Stent

Challenge: Implanting Devices in Dynamic Human Biology

Traditional medical stents (small tubes used to open blocked arteries) are fixed in size and delivered via invasive surgery or catheter-based deployment. Once implanted, they cannot adapt to a patient’s growth or unexpected biological changes, sometimes requiring further intervention.

4D Printing Intervention: The Time-Lapse Stent

Researchers have pioneered the use of 4D printing to create stents made of bio-absorbable, shape-memory polymers. These devices are printed in a compact, temporarily fixed state, allowing for minimally invasive insertion. Upon reaching the target location inside the body, the polymer reacts to the patient’s body temperature (the Thermal Stimulus).

  • The heat triggers the material to return to its pre-programmed, expanded shape, safely opening the artery.
  • The material is designed to gradually and safely dissolve over months or years once its structural support is no longer needed, eliminating the need for a second surgical removal.

The Human-Centered Lesson:

This removes the human risk and cost associated with two major steps: the complexity of surgical deployment (by making the stent initially small and flexible) and the future necessity of removal (by designing it to disappear). The product adapts to the patient, rather than the patient having to surgically manage the product.

Case Study 2: The Adaptive Building Facade

Challenge: Passive Infrastructure in Dynamic Climates

Buildings are static, but the environment is not. Traditional building systems require complex, motor-driven hardware and electrical sensors to adapt to sun, heat, and rain, leading to high energy costs and mechanical failure.

4D Printing Intervention: Hygromorphic Shading Systems

Inspired by how pinecones open and close based on humidity, researchers are 4D-printing building facade elements (shades, shutters) using bio-based, hygromorphic composites (materials that react to moisture). These large-scale prints are installed without any wires or motors.

  • When the air is dry and hot (high sun exposure), the material remains rigid, allowing light in.
  • When humidity increases (signaling impending rain or high moisture), the material absorbs the water vapor and is designed to automatically bend and curl, creating a self-shading or self-closing surface.

The Human-Centered Lesson:

This shifts the paradigm of sustainability from complex digital control systems to material intelligence. It reduces energy consumption and maintenance costs by eliminating mechanical components. The infrastructure responds autonomously and elegantly to the environment, making the building a more resilient and sustainable partner for the human occupants.

The Companies and Startups Driving the Change

The field is highly collaborative, bridging material science and industrial design. Leading organizations are often found in partnership with academic pioneers like MIT’s Self-Assembly Lab. Major additive manufacturing companies like Stratasys and Autodesk have made significant investments, often focusing on the software and material compatibility required for programmable matter. Other key players include HP Development Company and the innovative work coming from specialized bioprinting firms like Organovo, which explores responsive tissues. Research teams at institutions like the Georgia Institute of Technology continue to push the boundaries of multi-material 4D printing systems, making the production of complex, shape-changing structures faster and more efficient. The next generation of breakthroughs will emerge from the seamless integration of these material, design, and software leaders.

“4D printing is the ultimate realization of design freedom. We are no longer limited to designing for the moment of creation, but for the entire unfolding life of the product.”

The implications of 4D printing are vast, spanning aerospace (self-deploying antennae), consumer goods (adaptive footwear), and complex piping systems (self-regulating valves). For change leaders, the mandate is clear: start viewing your products and infrastructure not as static assets, but as programmable actors in a continuous, changing environment.

Frequently Asked Questions About 4D Printing

1. What is the “fourth dimension” in 4D Printing?

The fourth dimension is time. 4D printing refers to 3D-printed objects that are created using smart, programmable materials that change their shape, color, or function over time in response to specific external stimuli like heat, light, or water/humidity.

2. How is 4D Printing different from 3D Printing?

3D printing creates a final, static object. 4D printing uses the same additive manufacturing process but employs smart materials (like Shape Memory Polymers) that are programmed to autonomously transform into a second, pre-designed shape or state when a specific environmental condition is met, adding the element of time-based transformation.

3. What are the main applications for 4D Printing?

Applications are strongest where adaptation or deployment complexity is key. This includes biomedical devices (self-deploying stents), aerospace (self-assembling structures), soft robotics (flexible, adaptable grippers), and self-regulating infrastructure (facades that adjust to weather).

Your first step toward adopting 4D innovation: Identify one maintenance-heavy, mechanical component in your operation that is currently failing due to environmental change (e.g., a simple valve or a passive weather seal). Challenge your design team to rethink it as an autonomous, 4D-printed shape-memory structure that requires no external power source.

Disclaimer: This article speculates on the potential future applications of cutting-edge scientific research. While based on current scientific understanding, the practical realization of these concepts may vary in timeline and feasibility and are subject to ongoing research and development.

Image credit: Google Gemini

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Innovation Requires Defying Success

Innovation Requires Defying Success

GUEST POST from Mike Shipulski

Innovation is difficult because it requires novelty. And novelty is difficult because it’s different than last time. And different than last time is difficult because you’ve got to put yourself out there. And putting yourself out there is difficult because no one wants to be judged negatively.

Success, no matter how small, reinforces what was done last time. There’s safety in doing it again. The return may be small, but the wheels won’t fall off. You may run yourself into the ground over time, but you won’t fail catastrophically. You may not reach your growth targets, but you won’t get fired for slowly destroying the brand. In short, you won’t fail this year, but you will create the causes and conditions for a race to the bottom.

Diminishing returns are real. As a system improves it becomes more difficult to improve. A ten percent improvement is more difficult every year and at some point, improvement becomes impossible. In that way, success doesn’t breed success, it breeds more effort for less return. And as that improvement per unit effort decreases, it becomes ever more important (and ever more difficult) to do something different (to innovate).

Paradoxically, success makes it more difficult to innovate.

Success brings profits that could fund innovation. But, instead, success brings the expectation of predictable growth. Last year we were successful and grew 10%. We know the recipe, so this year let’s grow 12%. We can do what we did last year, but do it more efficiently. A sound bit of logic, except it assumes the rules haven’t changed and that competitors haven’t improved. But rules and competitors always change, and, at some point the the same old recipe for success runs out of gas.

It’s time to do something new (to innovate) when the same old effort brings reduced results. That change in output per unit effort means the recipe is tiring and it’s time for a new one. But with a new approach comes unpredictability, and for those who demand predictability, a new approach is scary. Sure, the yearly trend of reduced return on investment should scare them more, but it doesn’t. The devil you know is less scary than the one you don’t. But, it shouldn’t be.

Calculate your revenue dollars per sales associate and plot it over time. If the metric is flat over the last three years, it was time to innovate three years ago. If it’s decreasing over the last three years, it was time to innovate six years ago.

If you wait to innovate until revenue per salesperson is flat, you waited too long.

No one likes to be judged negatively, more than that, no one likes their company to collapse and lose their job. So, choose to do something new (to innovate) and choose the possibility of being judged. That’s much better than choosing to go out of business.

Image credit: Pexels

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The Reasons Customers May Refuse to Speak with AI

The Reasons Customers May Refuse to Speak with AI

GUEST POST from Shep Hyken

If you want to anger your customers, make them do something they don’t want to do.

Up to 66% of U.S. customers say that when it comes to getting help, resolving an issue or making a complaint, they only want to speak to a live person. That’s according to the 2025 State of Customer Service and Customer Experience (CX) annual study. If you don’t provide the option to speak to a live person, you are at risk of losing many customers.

But not all customers feel that way. We asked another sample of more than 1,000 customers about using AI and self-service tools to get customer support, and 34% said they stopped doing business with a company or brand because self-service options were not provided.

These findings reveal the contrasting needs and expectations customers have when communicating with the companies they do business with. While the majority prefer human-to-human interaction, a substantial number (about one-third) not only prefer self-service options — AI-fueled solutions, robust frequently asked question pages on a website, video tutorials and more — but demand it or they will actually leave to find a competitor that can provide what they want.

This creates a big challenge for CX decision-makers that directly impacts customer retention and revenue.

Why Some Customers Resist AI

Our research finds that age makes a difference. For example, Baby Boomers show the strongest preference for human interaction, with 82% preferring the phone over digital solutions. Only half (52%) of Gen-Z feels the same way about the phone. Here’s why:

  1. Lack of Trust: Trust is another concern, with almost half (49%) saying they are scared of technologies like AI and ChatGPT.
  2. Privacy Concerns: Seventy percent of customers are concerned about data privacy and security when interacting with AI.
  3. Success — Or Lack of Success: While I think it’s positive that 50% of customers surveyed have successfully resolved a customer service issue using AI without the need for a live agent, that also means that 50% have not.

Customers aren’t necessarily anti-technology. They’re anti-ineffective technology. When AI fails to understand requests and lacks empathy in sensitive situations, the negative experience can make certain customers want to only communicate with a human. Even half of Gen-Z (48%) says they are frustrated with AI technology (versus 17% of Baby Boomers).

Why Some Customers Embrace AI

The 34% of customers who prefer self-service options to the point of saying they are willing to stop doing business with a company if self-service isn’t available present a dilemma for CX leaders. This can paralyze the decision process for what solutions to buy and implement. Understanding some of the reasons certain customers embrace AI is important:

  1. Speed, Convenience and Efficiency: The ability to get immediate support without having to call a company, wait on hold, be authenticated, etc., is enough to get customers using AI. If you had the choice between getting an answer immediately or having to wait 15 minutes, which would you prefer? (That’s a rhetorical question.)
  2. 24/7 Availability: Immediate support is important, but having immediate access to support outside of normal business hours is even better.
  3. A Belief in the Future: There is optimism about the future of AI, as 63% of customers expect AI technologies to become the primary mode of customer service in the future — a significant increase from just 21% in 2021. That optimism has customers trying and outright adopting the use of AI.

CX leaders must recognize the generational differences — and any other impactful differences — as they make decisions. For companies that sell to customers across generations, this becomes increasingly important, especially as Gen-Z and Millennials gain purchasing power. Turning your back on a generation’s technology expectations puts you at risk of losing a large percentage of customers.

What’s a CX Leader To Do?

Some companies have experimented with forcing customers to use only AI and self-service solutions. This is risky, and for the most part, the experiments have failed. Yet, as AI improves — and it’s doing so at a very rapid pace — it’s okay to push customers to use self-service. Just support it with a seamless transfer to a human if needed. An AI-first approach works as long as there’s a backup.

Forcing customers to use a 100% solution, be it AI or human, puts your company at risk of losing customers. Today’s strategy should be a balanced choice between new and traditional customer support. It should be about giving customers the experience they want and expect — one that makes them say, “I’ll be back!”

Image credit: Pixabay

This article originally appeared on Forbes.com

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Leveraging the Power of Play to Innovate!

Leveraging the Power of Play to Innovate!

GUEST POST from Janet Sernack

One of my most potent memories from my career in organizational learning and development was the power of play as an effective adult learning method during a “Money and You” workshop with Robert Kiyosaki, the author of Rich Dad, Poor Dad.

It was a business game called “Win as Much as You Can”, also known now as the “XY Game”. The game involved forming four teams of two players, who alternated scoring across four rounds by choosing to throw either X or Y. The scoring process was the key to unlocking and understanding the game’s impact; if your team kept throwing X’s, you were awarded a significant number of points, enabling you to win as much as you could.

The scoring process subtly shifted in round eight, when the key to winning the game was for all four teams to throw Ys, yet not all teams did!

Because we were all unconsciously stuck in a competitive win-or-lose mindset, aiming to win as much as we could rather than adopting an approach where everyone could win, or being collaborative and playing a win-win game.

It was a moment of deep shame for me when I was announced the winner of my small group of eight players — a deeply impactful moment I have never forgotten, because for me to win, the other seven players had to lose, and they weren’t happy about losing.

Critical Foundational 21st Century Skills

These key lessons are encapsulated in my latest innovative co-creation – The Start-Up Game™. This hybrid board game combines experiential learning with achievement and competitive elements. It features an AI learning component that teaches critical foundational skills—collaboration, mathematical thinking, and adaptability —essential for both individuals and companies in a fast-changing AI world. As technical complexity rises, the glue that keeps talent productive is social skill—communication, empathy, conflict resolution, and the ability to coordinate diverse expertise. In addition to social skills, other fundamental capabilities — such as critical thinking, complex problem-solving, and reasoning — are crucial components of a dynamic, collective work environment in the modern enterprise. Together, they offer a shared platform that unlocks the full value of individuals’ specialized know-how, enables adaptation and innovation as technology and markets shift, and is increasingly in demand.

Games as Metaphors for Real Life

Since games are often metaphors for real life, I have spent many years shifting from the win/lose competitive mindset and way of being I grew up with to recognize the value of experimentation and co-operation, and to understand what it means to be truly collaborative.

Adults Learn by Doing

With the ongoing war for our attention, time scarcity, our increasing reliance on mobile devices, and the seductive nature of AI and TikTok as sources of knowledge and information, we have largely forgotten the importance of developing these foundational skills, especially in a volatile, uncertain, complex and ambiguous world.

All adults can learn these skills through harnessing the power of play.

Play is essential for developing our emotional and cognitive functions and fostering stronger social connections. In organizational learning and development, experiential learning involves gaining knowledge through direct experience and deep reflection, rather than just passive observation, like simply watching a learning video. It is a highly effective adult learning method that allows participants to link theoretical concepts with practical, on-the-job applications.

This approach involves active engagement in simulated real-world scenarios and:

  • Requires critical reflection on the experience to develop new states, traits, mindsets, behaviors, and skills.
  • Helps players increase self-awareness and gain a clearer understanding of how their mindsets and behaviors influence the people and teams they lead or interact with.

The Power of Play

Because focused, structured and intentional play, in the context of experiential learning, can:

  • Stimulate players’ curiosity, imagination and creativity.
  • Help players shift their emotional states, mindsets and behaviors.
  • Develop players’ emotional and cognitive agility.
  • Enhance players’ decision-making and problem-solving skills.
  • Improve leadership and team effectiveness.
  • Build players’ courage, boldness, bravery and resilience.
  • Reduce players’ stress levels by providing a safe space for improvisation and a break from business-as-usual responsibilities and habits.

Engaging in experiential learning activities, such as structured business games, boosts brain function, improves emotional regulation and self-management, encourages experimentation, and builds and strengthens constructive collaborative relationships with others.

In organizations, the power of play can be structured to boost players’ skills in key areas crucial to 21st-century success, including accepting responsibility, building trust, being accountable, communication, teaming, innovation, entrepreneurship, intrapreneurship, and achievement, resulting in overall performance improvements.

The Start-Up Game™ Leverages the Power of Play

The Start-Up Game™ engages and encourages players to think and act differently by safely experimenting with language, key mindsets, behaviors, and the creative and critical thinking, decision-making, and problem-solving skills used by successful intrapreneurs, entrepreneurs, and innovators.

It enables players to develop critical social, emotional, and cognitive mindsets, behaviors and skills that are the crucial components of a dynamic, collective work environment in the modern enterprise.

How to Incorporate the Power of Play into Your Organization

  • Create an environment of permission, safety, and trust, giving people agency and autonomy to learn through play and experimentation, and allowing them to learn from mistakes and failures.
  • Encourage people to “learn by doing and reflecting” to stretch their thinking by shifting business-as-usual mindsets and behaviors, to push the envelope by developing new 21st-century mental maps, behavioral deviations, and crucial new skills in critical and creative thinking and acting that result in smart risk-taking, intelligent decision-making, and innovative problem-solving.  
  • Commit to building an organizational or team culture that promotes continuous learning at a pace faster than the competition.
  • Encourage people to develop a regular reflective practice to harness their collective capacity to create, invent, and innovate by establishing a set of habitual reflective practices.

We are living in an age when technical expertise can become irrelevant in just a few years; foundational skills matter more than ever. Adopting an experiential learning approach to Innovation enables people to be agile and adaptive, to develop creative and critical thinking skills, to collaborate, and to sense, see, and solve complex problems, thereby thriving in a constantly evolving environment.

Please find out more about our work at ImagineNation™. Discover our collective learning products and tools, including The Coach for Innovators, Leaders, and Teams Certified Program, presented by Janet Sernack. It is a collaborative, intimate, and profoundly personalized innovation coaching and learning program supported by a global group of peers over nine weeks. It can be customized as a bespoke corporate learning program. It is a blended and transformational change and learning program that provides a deep understanding of the language, principles, and applications of an ecosystem-focused, human-centric approach and emergent structure (Theory U) to innovation. It will also up-skill people and teams, developing their future fitness within your unique innovation context.

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Don’t Believe the Courageous Leadership Lie

Don't Believe the Courageous Leadership Lie

GUEST POST from Robyn Bolton

The business press has a new obsession with courageous leadership.

Harvard Business Review dedicated their September cover story to it. Nordic Business Forum built an entire 2024 conference around it. BetterUpMcKinsey, and dozens of thought leaders and influencers can’t stop talking about it.

Here’s what they’re all telling you: If you’re playing it safe, stuck in analysis paralysis, not innovating fast enough, or not making bold moves, then you are the problem because you lack courage.

Here’s what they’re not telling you: You don’t have a courage problem. You have a systems problem.

The Real Story Behind “Courage Gaps”

The VP was anything but cowardly. She had a track record of bold moves and wasn’t afraid of hard conversations. The CEO wanted to transform the company by moving from a product-only focus to one offering holistic solutions that combined hardware, software, and services. This VP was the obvious choice.

Her team came to her with a ideas that would reposition the company for long-term growth. She loved it. They tested the ideas. Customers loved them. But not a single one ever launched.

It wasn’t because the VP or the CEO lacked courage. It was because the board measured success in annual improvements, the CEO’s compensation structure rewarded short-term performance, and the VP required sign-off from six different stakeholders who were evaluated on risk mitigation. At every level, the system was designed to kill bold ideas. And it worked.

This is the inconvenient truth the courage press ignores.

That success doesn’t just require leaders who are courageous, it requires organizational architecture that systematically rewards courage and manages risk.

What We’re Really Asking Leaders to Overcome

Consider what we’re actually asking leaders to be courageous against:

  • Compensation structures tied to short-term metrics
  • Risk management processes designed to say “no”
  • Approval hierarchies where one skeptic can overrule ten enthusiasts
  • Cultures where failed experiments end careers

The courage discourse lets broken systems off the hook.

It’s easier to sell “10 Ways to Build Leadership Courage” than to admit that organizational incentives, governance structures, and cultural norms are actively working against the bold moves we tell leaders to make.

What Actually Enables Courageous Leadership.

I’m not arguing that there isn’t a need for individual courage. There is.

But telling someone to “be braver” when their organizational architecture punishes bravery is like telling someone to swim faster in a pool filled with Jell-O.

If we want courage, we need to fix the things the systems that discourage it:

  • Align incentives with the time horizon of the decisions you want made
  • Create explicit permission structures for experimentation
  • Build decision-making processes that don’t require unanimous consent
  • Separate “learning investments” from “performance expectations” when measuring results
  • Make the criteria for bold moves clear, not subject to whoever’s in the room

But doing this is a lot harder than buying books about courage.

The Bottom Line

When you fix the architecture, you don’t need to constantly remind people to be brave because the system enables. Individual courage becomes the expectation, not the exception.

The real question isn’t whether your leaders need courage.

It’s whether your organization has the architecture to let them use it.

If you can’t answer that question, that’s not a courage problem.

That’s a design problem.

And design is something that, as a leader, you can actually control.

Image credit: Unsplash

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We Must Stop Worshiping Algorithms

We Must Stop Worshiping Algorithms

GUEST POST from Greg Satell

In 1954 the economist Paul Samuelson received a postcard from his friend Jimmie Savage asking, “ever hear of this guy?” The ”guy” in question was Louis Bachelier, an obscure mathematician who wrote a dissertation in 1900 that anticipated Einstein’s famous paper on Brownian motion published five years later.

The operative phrase in Bachelier’s paper, “the mathematical expectation of the speculator is zero,” was as powerful as it was unassuming. It implied that markets could be tamed using statistical techniques developed more than a century earlier and would set us down the path that led to the 2008 financial crisis.

For decades we’ve been trying to come up with algorithms to help us engineer our way out of uncertainty and they always fail for the same reason: the world is a messy place. Trusting our destiny to mathematical formulas does not eliminate human error, it merely gives preference to judgements encoded in systems beforehand over choices made by people in real time.

The False Promise Of Financial Engineering

By the 1960s a revolution in mathematical finance, based on Bachelier’s paper and promoted by Samuelson, began to gain momentum. A constellation of new discoveries such as efficient portfolios, the capital asset pricing model (CAPM) and, later, the Black-Scholes model for options pricing created a standard model for thinking about economics and finance.

As things gathered steam, Samuelson’s colleague at MIT, Paul Cootner, compiled the most promising papers in a 500-page tome, The Random Character of Stock Market Prices, which became an instant classic. The book would become a basic reference for the new industries of financial engineering and risk management that were just beginning to emerge at the time.

However, early signs of trouble were being ignored. Included in Cootner’s book was a paper by Benoit Mandelbrot that warned that there was something seriously wrong afoot. He showed, with very clear reasoning and analysis, that actual market data displayed far more volatility than was being predicted. In essence, he was pointing out that Samuelson and his friends were vastly underestimating risk in the financial system.

Leading up to the Great Recession, other warning signs would emerge, such as the collapse of LTCM hedge fund in 1998 and of Enron three years later, but the idea that mathematical formulas could engineer risk out of the system endured. The dreams turned to nightmares in 2008, when the entire house of cards collapsed into the worst financial crisis since the 1930s.

The Road To Shareholder Value

By 1970, Samuelson’s revolution in economics was well underway, but companies were still run much as they were for decades. Professional managers ran companies according to their best judgment about what was best for their shareholders, customers, employees and the communities that they operated in, which left room for variance in performance.

That began to change when Milton Friedman, published an Op-Ed in The New York Times, which argued that managers had only one responsibility: to maximize shareholder value. Much like Bachelier’s paper, Friedman’s assertion implied a simple rule-of-thumb with only one variable to optimize for, rather than personal judgement, should govern.

This was great news for people managing businesses, who no longer had to face the same complex tradeoffs when making decisions. All they had to worry about was whether the stock price went up. Rather than having to choose between investing in factories and equipment to produce more product, or R&D to invent new things, they could simply buy back more stock.

The results are now in and they are abysmal. Productivity growth has been depressed since the 1970s. While corporate profits have grown as a percentage of GDP, household incomes have decoupled from economic growth and stagnated. Markets are less free and less competitive. Even social mobility in the US, the ability for ordinary people to achieve the American dream, has been significantly diminished.

The Chimera Of “Consumer Welfare”

The Gilded Age in America that took place at the end of the 19th century was a period of rapid industrialization and the amassing of great wealth. As railroads began to stretch across the continent, the fortunes of the Rockefellers, Vanderbilts, Carnegies and Morgans were built. The power of these men began to rival governments.

It was also an era of great financial instability. The Panic of 1873 and the Panic of 1893 devastated a populace already at the mercy of the often avaricious tycoons who dominated the marketplace. The Sherman Antitrust Act of 1890 and the Clayton Antitrust Act of 1914 were designed to re-balance the scales and bring competition back to the market.

For the most part they were successful. The breakup of AT&T in the 1980s paved the way for immense innovation in telecommunications. Antitrust action against IBM paved the way for the era of the PC and regulatory action against Microsoft helped promote competition in the Internet. American markets were the most competitive in the world.

Still, competition is an imprecise term. Robert Bork and other conservative legal thinkers wanted a simple, more precise standard, based on consumer welfare. In their view, for regulators to bring action against a company, they had to show that the firm’s actions raise the prices of goods or services.

Here again, human judgment was replaced with an algorithmic approach that led to worse outcomes. Over 75% of industries have seen a rise in industry concentration levels since the late 1990s, which has helped to bring about a decline in business dynamism and record income inequality.

The Chimera Of Objectivity

Humans can be irrational and maddening. Decades of research have shown that, when given the exact same set of facts, even experts will make very different assessments. Some people will be more strict, others more lenient. Some of us are naturally optimistic, others are cynics. A family squabble in the morning can affect the choices we make all day.

So it’s not unreasonable to want to improve quality and reduce variance in our decision making by taking a more algorithmic approach by offering clear sets of instructions that hold sway no matter who applies them. They promise to make things more reliable, reduce uncertainty and, hopefully, improve effectiveness.

Yet as Yassmin Abdel-Magied and I explained in Harvard Business Review, algorithms don’t eliminate human biases, they merely encode them. Humans design the algorithms, collect the data that form the basis for decisions and interpret the results. The notion that algorithms are purely objective is a chimera.

The problem with algorithms is that they encourage us to check out, to fool ourselves into thinking we’ve taken human error out of the system and stop paying attention. They allow us to escape accountability, at least for a while, as we pass the buck to systems that spit out answers which affect real people.

Over the past 20 or thirty years, we’ve allowed this experiment to play out and the results have been tragic. It’s time we try something else.

— Article courtesy of the Digital Tonto blog
— Image credit: Google Gemini (NanoBanana)

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Team Conflict Isn’t Always Bad

Team Conflict Isn't Always Bad

GUEST POST from David Burkus

Conflict on teams is inevitable. But here’s the real question: does it need to be resolved? Not always. In fact, the type of conflict matters just as much as how you address it. Some conflicts demand immediate resolution, while others can be channeled into creativity and progress. Knowing the difference is critical to leading a team effectively.

At its core, conflict on teams falls into two categories: personal conflict and task-focused conflict. Personal conflict is what most of us think of first—tensions that get personal, unkind remarks, or behaviors that erode respect. Left unaddressed, this type of conflict undermines trust and productivity. Task-focused conflict, however, is entirely different. This is the natural tension that arises from diverse ideas and perspectives. It’s not a problem to be solved; it’s a tool to be harnessed. Handled well, task-focused conflict can propel a team forward.

Let’s look at both in depth—how to resolve personal conflict and how to channel task-focused conflict into better outcomes for the team.

Resolving Personal Conflict

When personal conflict on teams arises, it can feel uncomfortable, even awkward, to step in as a leader. Yet the cost of avoiding it is far greater. Toxic behavior, left unchecked, damages the entire team. Addressing it quickly and thoughtfully is key to maintaining a healthy team dynamic.

The best approach often begins with a private, one-on-one conversation. For less overt issues—like someone cutting a teammate off during a meeting or taking a criticism too far—pulling the individual aside after the fact is often more effective than addressing it publicly. Explain what you observed, how it impacts the team, and what needs to change. Your goal isn’t to embarrass them but to guide them toward more constructive behavior.

When the conflict on teams involves repeated tensions between two people, start with separate conversations. This allows you to understand each person’s perspective and identify the root of the issue. Once you’ve done that, consider bringing them together for a mediated discussion. The goal isn’t to force them to like each other but to secure a commitment to respect and professional behavior. Over time, if people consistently act respectfully, they often grow to genuinely respect one another — a win for everyone involved.

Whatever the situation, don’t wait to act. Personal conflict that lingers becomes a poison to the team. Address it early, directly, and consistently. Your willingness to confront these issues sends a powerful message about what kind of culture your team will have — a culture of respect and accountability.

Harnessing Task-Focused Conflict on Teams

Task-focused conflict, by contrast, is not something to resolve. It’s something to embrace. Teams are made up of individuals with different experiences, perspectives, and ideas. That’s their strength. When these differences lead to debates over the best course of action, your role as a leader isn’t to shut it down. It’s to create the conditions where productive conflict can thrive.

The first step is to foster an environment where everyone feels safe sharing their ideas. Too often, leaders assume they’ve created space for feedback simply by asking, “What does everyone think?” at the end of a meeting. But vague invitations rarely lead to meaningful input. Instead, make feedback an active part of your team’s discussions. One approach is to explicitly ask for “builds” and “flags.” Builds are suggestions that add to or improve an idea. Flags are concerns or alternative approaches. This framework encourages participation and ensures that all voices are heard.

Equally important is creating psychological safety—the sense that team members can share dissenting ideas without fear of judgment or retaliation. This starts with you as a leader. When you express doubt, admit uncertainty, or genuinely invite feedback, you show vulnerability. That vulnerability signals trust, which is the foundation of psychological safety. But it’s not enough to invite ideas; you must also respond to them with respect. Engage fully, listen actively, and ensure that team members feel heard. A team that trusts its leader and each other will embrace conflict as a pathway to better solutions.

When it comes time to respond to conflicting ideas, focus on the assumptions behind them rather than the ideas themselves. People often tie their identities to their ideas, which can make critique feel personal. But assumptions are different. They can be questioned without sparking defensiveness. For example, if a debate arises about project timelines, you might uncover that one person assumes it will take six months while another assumes a year. By exploring these assumptions, the team can arrive at a clearer understanding—and a better decision.

When the Team Can’t Agree

Despite your best efforts, there will be times when the team can’t reach consensus. This is where your leadership is most crucial. After everyone has had the opportunity to share their perspective, it’s time to decide and move forward. This is the principle of “disagree and commit.”

Make it clear that every voice matters and that the decision-making process is the team’s opportunity to influence the outcome. But once a decision is made—whether by consensus or by you as the leader—it’s time for everyone to align and commit. The team must understand that revisiting the debate later is not an option. This clarity ensures that even unresolved disagreements don’t derail progress.

Turning Conflict Into a Strength

Conflict on teams isn’t inherently bad. In fact, task-focused conflict is one of the best tools a team has for finding innovative solutions. The challenge is in how you, as a leader, handle it. Personal conflict needs resolution, quickly and thoughtfully. Task-focused conflict needs space to flourish, guided by a culture of respect and psychological safety.

When managed well, conflict on teams transforms from a source of tension into a driver of success. It pushes teams to consider new perspectives, challenge assumptions, and arrive at better outcomes. As a leader, your job isn’t to eliminate conflict. It’s to create an environment where it can be constructive, where it can make your team stronger.

Conflict on teams isn’t something to fear. It’s something to embrace. And when you do, you’ll find that the best ideas—and the best teams—are forged through it.

Image credit: Pixabay

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