Category Archives: Innovation

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

Top 10 Human-Centered Change & Innovation Articles of June 2025 Drum 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 June’s ten most popular innovation posts:

Why Business Transformations Fail — by Robyn Bolton
Three Ways Strategic Idleness Accelerates Innovation and Growth — by Robyn Bolton
Overcoming the Fear of Innovation Failure — by Stefan Lindegaard
Making People Matter in AI Era — by Janet Sernack
Yes the Comfort Zone Can Be Your Best Friend — by Stefan Lindegaard
Your Digital Transformation Starting Point — by Braden Kelley
Learn More About the Problem Before Trying to Solve It — by Mike Shipulski
Putting Human Agency at the Center of Decision-Making — by Greg Satell
Innovation or Not – SpinLaunch — by Art Inteligencia
Team Motivation Does Not Have to be Hard — by David Burkus

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

You Already Have Too Many Ideas — by Mike Shipulski
Portfolio Management and Category Power — by Geoffrey A. Moore
Your Legends Define Your Culture — by Shep Hyken
Should We Stop Asking Employees to Innovate? — by Stefan Lindegaard
Benchmarking Innovation Performance — by Noel Sobelman

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!

Have something to contribute?

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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Strategic Foresight Won’t Save Your Company

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But Ignoring Strategic Foresight Will Kill It

Strategic Foresight Won't Save Your Company

GUEST POST from Robyn Bolton

Are you spooked by the uncertainty and volatility that defines not just our businesses but our everyday lives? Have you hunkered down, stayed the course, and hoped that this too shall pass? Are you starting to worry that this approach can’t go on forever but unsure of what to do next? CONGRATULATIONS, consultants have heard your cries and are rolling out a shiny new framework promising to solve everything: Strategic Foresight.

Strategic foresight is the latest silver bullet for navigating our chaotic, unpredictable world.

Remember in 2016 when Agility was going to save us all? Good times.

As much as I love rolling my eyes at the latest magic framework, I have to be honest – Strategic Foresight can live up to the hype. If you do it right.

What Strategic Foresight Actually Is (Spoiler: Not a Silver Bullet)

A LOT is being published about Strategic Foresight (I received 7 newsletters on the topic last week) and everyone has their own spin. So let’s cut through the hype and get back to basics

What it is: Strategic foresight is the systematic exploration of multiple possible futures to anticipate opportunities and risks, enabling informed decisions today to capture advantages tomorrow.

There’s a lot there so let’s break it down:

Systematic exploration: This isn’t guessing, predicting, or opining. This is a rigorous and structured approach
Multiple possible futures: Examines multiple scenarios because we can’t possibly forecast or predict the one future that will occur
Enabling informed decisions today: This isn’t an academic exercise you revisit once a year. It informs and guides decisions and actions this year.
Capture advantages tomorrow: Positions you to respond to change with confidence and beat your competition to the punch

How it fits: Strategic Foresight doesn’t replace what you’re doing. It informs and drives it.

Approach	Timeline	Focus
Strategic Foresight	5-20+ years	Explore possible futures
Strategic Planning	3-5 years	Create competitive advantage
Business Planning	Annual cycles	Execute specific actions

The sequence matters: Foresight → Strategic Planning → Business Planning.

This sequence also explains why Strategic Foresight is so hot right now. Systemic change used to take years, even decades, to unfold. As a result, you could look out 3-5 years, anticipate what would be next, and you would probably be right.

Now, systemic change can happen overnight and be undone by noon the next day. Whatever you think will happen will probably be wrong and in ways you can’t anticipate, let alone plan for and execute against.

Strategic Foresight’s rigorous, multi-input approach gives us the illusion of control in a world that seems to be spinning out of it.

How to Avoid the Illusion and Get the Results.

Personally, I love the illusion of control BUT as a business practice, I don’t recommend it.

Strategic Foresight’s benefits will stay an illustion if you don’t:

Develop in-house strategic foresight capabilities. Amy Webb’s research at NYU shows that companies using rigorous foresight methodologies consistently outperform those stuck in reactive mode. Shell’s legendary scenario planning helped them navigate oil crises while competitors flailed. Disney’s Natural Foresight® Framework keeps them ahead of entertainment trends that blindside others.
Integrate foresight into your annual strategic planning cycle: Strategic foresight is a front-end effort that makes your 3-5 year strategy more robust. If you treat it like a separate exercise where you hire futurists, and run some workshops, and check the Strategic Foresight box, you won’t see any benefits or results.

What’s Next?

Strategic foresight isn’t a silver bullet, but it can be a path through uncertainty to advantage and growth.

The difference between success and failure comes down to execution. Do you treat it as prediction or preparation? Do you integrate it with existing planning or silo it in innovation labs?

Ready to separate the hype from the hard results? Our next post shows you what two industry leaders learned about turning foresight into competitive advantage and how you can use those lessons to your benefit

Image credit: Pixabay

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Fueling Competitive Advantage Through Continuous Experience Improvement

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Rise of the Experience Management Office (XMO)

Fueling Competitive Advantage Through Continuous Experience Improvement

by Braden Kelley and Art Inteligencia

In today’s hyper-competitive landscape, the battle for market share is no longer waged solely on product features or price points. It’s fought and won on the battleground of experience. From the first touchpoint to ongoing engagement, every interaction a customer, employee, or partner has with your organization shapes their perception and ultimately, their loyalty. As a human-centered change and innovation author, I’ve seen firsthand how organizations that prioritize experience improvement don’t just survive – they thrive. But how does an organization systematically achieve this? The answer, increasingly, lies in the strategic establishment and effective operation of an Experience Management Office (XMO).

For too long, experience initiatives have been fragmented, siloed within individual departments, or relegated to one-off projects. This piecemeal approach might deliver incremental gains in specific areas, but it rarely translates into a holistic, differentiating experience across the entire organizational ecosystem. This is precisely where the XMO steps in, acting as the central nervous system for all things experience-related.

What is an Experience Management Office (XMO)?

At its core, an XMO is a dedicated, cross-functional entity responsible for orchestrating, governing, and continuously improving all facets of an organization’s experiences. Think of it as the strategic hub that connects the dots between customer experience (CX), employee experience (EX), partner experience (PX), and even product experience (PX), ensuring a cohesive and compelling narrative across every interaction. It moves beyond simply collecting feedback to proactively designing, measuring, and optimizing experiences with a strategic lens.

The XMO isn’t just another committee; it’s a strategic imperative. Its mandate extends to:

Defining a Unified Experience Vision: Establishing a clear, organization-wide understanding of what “great experience” looks like and how it aligns with strategic business objectives.
Establishing Experience Governance: Setting standards, processes, and guidelines for experience design, delivery, and measurement across all functions and touchpoints.
Fostering a Culture of Empathy and Experience-Centricity: Championing a mindset where every employee understands their role in delivering exceptional experiences.
Driving Cross-Functional Collaboration: Breaking down silos to ensure seamless handoffs and consistent experiences across departments.
Leveraging Technology for Experience Management: Identifying and implementing tools for feedback collection, journey mapping, analytics, and personalization.
Measuring and Monitoring Experience Performance: Defining key metrics and establishing robust reporting mechanisms to track progress and identify areas for improvement.
Strategically Managing the Experience Improvement Backlog: Prioritizing and sequencing experience enhancement initiatives based on impact, feasibility, and strategic alignment.

Defining and Monitoring Experience Metrics: The XMO’s Data-Driven Approach

You can’t improve what you don’t measure. This timeless adage holds particularly true for experience. A mature XMO moves beyond vanity metrics to establish a comprehensive suite of experience metrics that provide actionable insights. These typically include a mix of:

Lagging Indicators: These reflect past performance and often include traditional metrics like Net Promoter Score (NPS), Customer Satisfaction (CSAT), Customer Effort Score (CES), and employee engagement scores.
Leading Indicators: These provide foresight into future performance and can include metrics related to website navigation ease, call resolution rates, time-to-onboard new employees, or speed of partner response.
Operational Metrics: These track the efficiency and effectiveness of processes that impact experience, such as average handle time in customer service or employee training completion rates.
Financial Impact Metrics: Ultimately, experience must link back to business outcomes. The XMO tracks how experience improvements contribute to revenue growth, cost reduction, customer retention, and employee productivity.

The XMO is responsible for the systematic collection, analysis, and dissemination of these metrics. They establish dashboards, conduct regular reviews, and translate data into compelling narratives that drive action at all levels of the organization. This data-driven approach allows the XMO to identify pain points, celebrate successes, and most importantly, make informed decisions about where to focus improvement efforts.

Strategic Management of an Experience Improvement Backlog: Prioritization for Impact

One of the most critical functions of an XMO is the strategic management of the experience improvement backlog. In any large organization, there will be a seemingly endless list of ideas, suggestions, and identified issues related to improving experience. Without a centralized, strategic approach, these can become overwhelming and lead to a reactive, rather than proactive, improvement cycle.

The XMO brings discipline to this process by:

Centralizing Experience Feedback and Insights: Gathering input from all sources – customer surveys, employee feedback, market research, competitive analysis, operational data, and frontline observations.
Structuring and Categorizing Backlog Items: Organizing identified improvement opportunities by experience type (CX, EX, PX), impact area, customer journey stage, or strategic alignment.
Quantifying Impact and Feasibility: Working with relevant stakeholders to assess the potential impact of each improvement on key metrics and the feasibility of implementation (cost, resources, technical complexity).
Prioritizing Based on Strategic Value: Applying a strategic framework (e.g., Weighted Shortest Job First – WSJF, Kano Model, RICE scoring) to prioritize backlog items based on their potential to drive competitive advantage, address critical pain points, or capitalize on emerging opportunities.
Translating into Actionable Initiatives: Working with product teams, IT, HR, marketing, and other departments to translate prioritized backlog items into concrete projects and initiatives with clear owners and timelines.
Monitoring Progress and Measuring Outcomes: Tracking the progress of improvement initiatives and, critically, measuring the actual impact on the defined experience metrics to ensure the desired outcomes are achieved.

“An XMO transforms experience from a reactive afterthought into a proactive, strategic differentiator. It’s about building a muscle for continuous improvement, not just a one-time fix.”

Building and Maintaining Competitive Advantage Through Continuous Experience Improvement

In a world where products and services are increasingly commoditized, the truly sustainable competitive advantage lies in the experience you deliver. Organizations with a mature XMO don’t just react to market changes; they proactively shape customer expectations and employee capabilities. They build a culture of continuous learning and adaptation, where experience is not just a buzzword, but a measurable, managed asset.

By systematically defining and monitoring experience metrics, and strategically managing an experience improvement backlog, the XMO enables organizations to:

Increase Customer Loyalty and Retention: Delighted customers stay longer and refer more.
Improve Employee Engagement and Productivity: Empowered and positive employees deliver better experiences.
Enhance Brand Reputation and Equity: A consistently positive experience builds trust and a strong brand.
Drive Operational Efficiencies: Streamlined, user-friendly experiences often reduce costs and rework.
Accelerate Innovation: A deep understanding of experience pain points and desires fuels meaningful new solutions.

The journey to becoming an experience-led organization is not a sprint; it’s a marathon. But with an XMO leading the charge, equipped with the right metrics and a disciplined approach to improvement, organizations can systematically build and maintain a formidable competitive advantage. It’s time to stop treating experience as an afterthought and elevate it to the strategic imperative it truly is.

Contact me if you’re interested in working together to build or enhance your Experience Management Office (XMO).

Accelerate your change and transformation success

Content Authenticity Statement: The ideas are those of Braden Kelley, shaped into an article introducing the topic with a little help from Google Gemini.

Image credit: Gemini

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Employees Are Calling BS on Customer-First Leadership

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Employees Are Calling BS on Customer-First Leadership

GUEST POST from Robyn Bolton

The data speaks for itself: Your employees don’t believe you practice customer-first leadership.

According to Gallup’s research, only one in five of your people think you make decisions with customers in mind. That means four out of five watch you say one thing and do another. Every. Single. Day.

And it’s getting worse. Fewer than three in ten of your employees feel proud of what they’re building for your customers. As a result, employee pride in what they create and deliver is at an all-time low.

You know what this means, don’t you? Your customer-first messaging isn’t inspiring anyone—it’s insulting them. Because they see the truth behind your town hall speeches, and the truth is that customers aren’t first.

How Are We Still Screwing This Up?

Customer-centricity has been business gospel for decades. We’ve got libraries full of case studies, armies of consultants, and enough “customer first” wall art to wallpaper the Apple HQ. So, how the hell are we getting worse at this?

Because most leaders treat customer focus like a box to check. They say the right words in town halls and analyst calls but make decisions that prioritize quarterly numbers, internal politics, and whatever shiny new idea they come up with.

Leaders say customers come first, then cut support staff to hit margins. They preach customer obsession, then ignore feedback that requires real change. They commission expensive customer journey maps, then never look at them again.

Employees see it all.

And when employees stop believing in what they deliver, customers know it immediately. Every burned-out support call, every half-hearted sales pitch, every policy that punishes the customer to boost the company’s profit.

You CAN do better

You only need to look as far as the telecom industry (?!?!?!) for an $800 million example.

In 2005, Arlene Harris co-founded GreatCall (now Lively) and did something radical: she built a company based on the Jobs to be Done of senior citizens. While everyone else chased flashy features for younger markets, she recognized that older Americans didn’t want a smartphone—they wanted a lifeline.

Harris delivered with the Jitterbug, a simple flip phone with giant buttons. But that was just the beginning. Focusing more on helping customers stay safe and connected than cool features for the tech geeks, she quickly built an ecosystem offering emergency response, health monitoring, 24/7 human support, and caregiver connectivity.

When Best Buy acquired GreatCall for $800 million in 2018, they weren’t buying a phone company. They were buying something rare: a trusted, high-value services company with intensely loyal customers.

Harris succeeded by doing precisely what the data shows most leaders aren’t doing: genuinely understanding and serving real customer needs.

WILL you do better?

Customer-first leadership isn’t a box to check. It’s basic leadership integrity. It’s the difference between meaning what you say and just saying what sounds good.

When four out of five of your employees don’t trust your customer commitment, the problem isn’t your strategy deck, digital transformation, or tariffs. The problem is you.

So here’s your moment of truth: When was the last time you listened to customer service calls? Not the sanitized highlights your team shows you—the raw, unfiltered frustration of someone who can’t get help. When did you last sit in a waiting room and watch how people navigate your system? Or stock a shelf and see what customers actually do?

If you can’t remember, that’s your answer. If you’ve never done it, that’s worse.

The question is: Will you keep performing customer-centricity, or start practicing it?

Image credit: Pixabay

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Innovation is Unknowable Not Uncertain

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Innovation is Unknowable Not Uncertain

GUEST POST from Mike Shipulski

Where’s the Marketing Brief? In product development, the Marketing team creates a document that defines who will buy the new product (the customer), what needs are satisfied by the new product and how the customer will use the new product. And Marketing team also uses their crystal ball to estimate the number of units the customers will buy, when they’ll buy it and how much they’ll pay. In theory, the Marketing Brief is finalized before the engineers start their work.

With innovation, there can be no Marketing Brief because there are no customers, no product and no technology to underpin it. And the needs the innovation will satisfy are unknowable because customers have not asked for the them, nor can the customer understand the innovation if you showed it to them. And how the customers will use the? That’s unknowable because, again, there are no customers and no customer needs. And how many will you sell and the sales price? Again, unknowable.

Where’s the Specification? In product development, the Marketing Brief is translated into a Specification that defines what the product must do and how much it will cost. To define what the product must do, the Specification defines a set of test protocols and their measurable results. And the minimum performance is defined as a percentage improvement over the test results of the existing product.

With innovation, there can be no Specification because there are no customers, no product, no technology and no business model. In that way, there can be no known test protocols and the minimum performance criteria are unknowable.

Where’s the Schedule? In product development, the tasks are defined, their sequence is defined and their completion dates are defined. Because the work has been done before, the schedule is a lot like the last one. Everyone knows the drill because they’ve done it before.

With innovation, there can be no schedule. The first task can be defined, but the second cannot because the second depends on the outcome of the first. If the first experiment is successful, the second step builds on the first. But if the first experiment is unsuccessful, the second must start from scratch. And if the customer likes the first prototype, the next step is clear. But if they don’t, it’s back to the drawing board. And the experiments feed the customer learning and the customer learning shapes the experiments.

Innovation is different than product development. And success in product development may work against you in innovation. If you’re doing innovation and you find yourself trying to lock things down, you may be misapplying your product development expertise. If you’re doing innovation and you find yourself trying to write a specification, you may be misapplying your product development expertise. And if you are doing innovation and find yourself trying to nail down a completion date, you are definitely misapplying your product development expertise.

With innovation, people say the work is uncertain, but to me that’s not the right word. To me, the work is unknowable. The customer is unknowable because the work hasn’t been done before. The specification is unknowable because there is nothing for comparison. And the schedule in unknowable because, again, the work hasn’t been done before.

To set expectations appropriately, say the innovation work is unknowable. You’ll likely get into a heated discuss with those who want demand a Marketing Brief, Specification and Schedule, but you’ll make the point that with innovation, the rules of product development don’t apply.

Image credit: Unsplash

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Overcoming the Fear of Innovation Failure

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Overcoming the Fear of Innovation Failure

GUEST POST from Stefan Lindegaard

Let’s explore one of the biggest barriers to innovation – fear of failure – and share actionable steps to help your organization overcome it. Your perspectives, ideas, and feedback are much appreciated.

What is the Challenge?

One of the biggest barriers to innovation is the fear of failure. Many organizations, especially large corporations, develop cultures where taking risks is discouraged because failure is often met with negative consequences. This results in stagnation, as employees and leaders shy away from innovative ideas that carry potential risk.

Why Does This Matter?

Without risk, there is no innovation. Companies that focus too much on avoiding failure end up missing opportunities for growth and transformation. Fear of failure leads to risk-averse behavior, stifling creativity and preventing teams from experimenting with new ideas.

How to Overcome It

The key enabler to overcoming the fear of failure is psychological safety—when team members feel safe to express ideas, take risks, and make mistakes without fear of being judged or penalized, they are more likely to experiment.

Here are some steps to foster psychological safety and address the fear of failure:

Model Vulnerability: Leaders should share their own past failures and the lessons learned, showing that failure is a stepping stone to success.
Encourage Small Experiments: Allow teams to run small, low-stakes experiments where failure carries minimal risk. This builds a culture of learning and exploration.
Celebrate Learnings, Not Just Successes: When a project doesn’t achieve the desired outcome, recognize and celebrate the learning gained rather than focusing on the failure itself.
Establish a Feedback Culture: Implement regular feedback loops where employees can openly discuss what went wrong, why it happened, and how to improve without fear of blame.
Create Safety Nets: Ensure that failure doesn’t have punitive consequences by offering support and framing failures as essential learning experiences for future innovation.

What This Means for Your Teams / Organization

By reducing the stigma around failure, you empower your teams to think more creatively and push boundaries. This mindset shift can lead to more breakthrough innovations and a more dynamic, agile organization.

More Inspiration – Thought Leaders, Case-Study

Thought Leader: Tom Kelley of IDEO on Creative Confidence
Case Study: How Google’s “Moonshot Factory” (X) embraces failure as part of its process to develop groundbreaking technologies and new ways of doing things.

This post is part of my Corporate Innovation Explained series. You can also follow my Leadership Growth Explained and Team Dynamics Explained series if you like this kind of inspiration.

Image Credit: Pixabay

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Building Transformation Momentum from the Middle

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Five Questions to Liz Wiseman

Building Transformation Momentum from the Middle

GUEST POST from Robyn Bolton

Conventional wisdom tells us that transformation flows from the C-suite down because real change requires executive mandates and company-wide rollouts. But what if our focus on building transformation momentum is exactly backward?

Ever since reading Multipliers, where Liz Wiseman revealed how the best leaders amplify their people rather than diminish them, I’ve wondered if, like innovation, organizational transformation and change also require us to do the opposite of our instincts.

I recently had the opportunity to dig deeper into this topic with her, and I couldn’t resist exploring how change really happens in large organizations.

What emerged wasn’t another framework—it was something more brilliant and subversive: how middle managers quietly become change agents, why sustainable transformation looks nothing like a launch event, and the liberating truth that leaders don’t need to be perfect.

Robyn Bolton: What’s the one piece of conventional wisdom about leading change that you believe organizations need to unlearn?

Lize Wiseman

Lize Wiseman: I don’t believe that change needs to start, or even be sponsored, at the top of the organization. I’ve seen so much change led from the middle management ranks. When middle managers experiment with new mindsets and practices inside their organizations, they produce pockets of success—anomalies that catch the attention of senior executives and corporate staffers who are highly adept at detecting variances (both negative and positive). When senior executives notice positive outcomes, they are quick to elevate and endorse the new practices, in turn spreading the practices to other parts of the organization. In other words, most senior executives are adept at spotting a parade and getting in front of it! (Incidentally, this is one of several executive skills you won’t find documented on any official leadership competency model.) If you don’t yet have the political capital to lead a company-wide initiative, run a pilot with a few rising middle managers. Shine a spotlight on their success and let the practices spread to their peers. Expose their good work to the executive team and make yourself available to turn the parade into a movement.

RB: In your research and work, what’s the most surprising pattern you’ve observed about successful organizational transformation?”

LW: As mentioned above, I believe the starting point for transformation is less important than how you will sustain the momentum you’ve generated. Unfortunately, most new initiatives—be they corporate change initiatives or personal improvement plans—begin with a bang but fizzle out in what I call “the failure to launch” cycle. Transformation that is sustained over time usually starts small and builds a series of successive wins. Each win provides the energy needed to carry the work into the next phase. These series of wins generate the energy and collective will needed to complete the cycle of success. As that cycle spins, nascent beliefs become more deeply entrenched and old survival strategies get supplanted by new methods to not just survive but thrive inside the organization.

Each little success requires careful support and an evidence-backed PR campaign to build awareness and broad support for the new direction. Nascent behavior and beliefs are fragile and will be overpowered by older assumptions until they are strengthened by supporting evidence. The supporting evidence forms a buttress around the budding mindset or practices, much like a brace around a sapling provides stability until the tree is strong enough to stand on its own.

RB: How has your thinking about what makes an effective leader evolved over the course of your career?

LW: When I began researching good leadership, most diminishing leaders appeared to be tyrannical, narcissistic bullies. But as I further studied the problem, I’ve come to see that the vast majority of the diminishing happening inside our workplaces is done with the best of intentions, by what I call the Accidental Diminisher—good people trying to be good managers. I’ve become less interested in knowing who is a Diminisher and much more interested in understanding what provokes the Diminisher tendencies that lurk inside each of us.

RB: When you consider all the organizations you’ve studied, what’s the most powerful lesson about driving meaningful change that most leaders overlook?

LW: One of the dangers of trying to lead change from the top is that most leaders have a hard time being a constant role model for the changes they advocate for. Even the best leaders can’t always display the positive behaviors they espouse and ask their organizations to embody. It’s human to slip up. But when behavior change is led primarily from the top, these all-too-natural slip-ups can become major setbacks for the whole organization because they provide visible evidence that the new behavior isn’t required or feasible, and followers can easily give up. Wise leaders understand this dynamic and build a hypocrisy factor into their change plans–meaning, they acknowledge upfront that they aspire to the new behavior but don’t always fully embody it, yet. They set the expectation that there will be setbacks and invite people to help them be better leaders as well. They acknowledge that the route to new behavior typically looks like the acclimation process used by high-elevation climbers. These climbers spend some of their days in ascent, but once they reach new elevations, often have to descend to lower camps to acclimate. It’s the proverbial two-steps-forward, one-step-back process. When leaders acknowledge their shortcomings and the likelihood of their future missteps, they not only minimize the chance that others give up when they see hypocrisy above them, but they create space for others to make and recover from their own mistakes.

RB: Looking ahead, what do you believe is the most important capability leaders need to develop to help their organizations thrive?

LW: Leading in uncertainty, specifically the ability to lead people to destinations that they themselves have never been.

I love that Liz’s insights flip the script, calling on people outside the C-Suite to stop waiting for permission and start running quiet experiments, building proof points, and letting success do the selling.

The next time you want a change or have change thrust upon you, don’t look for a parade to lead. Look for one person willing to try something different and get to work.

Image credit: Unsplash

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Making People Matter in AI Era

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Making People Matter in AI Era

GUEST POST from Janet Sernack

People matter more than ever as we witness one of the most significant technological advancements reshaping humanity. Regardless of size, every industry and organization can adopt AI to enhance operations, innovate, stay competitive, and grow by partnering AI with people. Our research highlights three workplace trends and four global, strategic, and systemic human crises that affect the successful execution of all organizational transformation initiatives, posing potential barriers to implementing AI strategies. This makes the importance of people mattering in the age of AI greater than ever.

Three Key Global Trends

According to Udemy’s 2024 Global Learning and Skills Trends Report, three key trends are core to the future of work, stating that organizations and their leaders must:

Understand how to navigate the skills landscape and why it is essential to assess, identify, develop, and validate the skills their teams possess, lack, and require to remain innovative and competitive.
Adapt to the rise of AI, focusing on how generative AI and automation disrupt our work processes and their role in supporting a shift to a skills-based approach.
Develop strong leaders who can guide their teams through change and foster resilience within them.

Five Key Global Crises

1. Organizational engagement is in crisis.

Recently, Gallup reported that Global employee engagement fell by two percentage points in 2024, only the second time it has fallen in the past 12 years. Managers (particularly young managers and female managers) experienced the sharpest decline. Employee engagement significantly influences economic output; Gallup estimates that a two-point drop in engagement costs the world $438 billion in lost productivity in 2024.

2. People are burning out, causing a crisis in well-being.

In 2019, the World Health Organization included burnout in its International Classification of Diseases, describing “Burn-out is a syndrome conceptualized as resulting from chronic workplace stress that has not been successfully managed. Three dimensions characterize it:

Feelings of energy depletion or exhaustion;
Increased mental distance from one’s job, or feelings of negativism or cynicism related to one’s job; and
Reduced professional efficacy.

Burn-out refers specifically to phenomena in the occupational context and should not be applied to describe experiences in other areas of life.”

They estimate that globally, an estimated 12 billion working days are lost every year to depression and anxiety, costing US$ 1 trillion per year in lost productivity.

Burnout is more than just an employee problem; it’s an organizational issue that requires a comprehensive solution. People’s mental and emotional health and well-being are still not prioritized or managed effectively. Well-being in the workplace is a complex systemic issue that must be addressed. Making people matter in the age of AI involves empowering, enabling, and equipping them to focus on developing their self-regulation and self-management skills, shifting them from languishing in a constant state of emotional overwhelm and cognitive overload that leads to burnout.

3. The attention economy is putting people into crisis.

According to Johann Hari, in his best-selling book, “Stolen Focus,” people’s focus and attention have been stolen; our ability to pay attention is collapsing, and we must intentionally reclaim it. His book describes the wide range of consequences that losing focus and attention has on our lives. These issues are further impacted by the pervasive and addictive technology we are compelled to use in our virtual world, exacerbated by the legacy of the global pandemic and the ongoing necessity for many people to work virtually from home. He reveals how our dwindling attention spans predate the internet and how its decline is accelerating at an alarming rate. He suggests that to regain your ability to focus, you should stop multitasking and practice paying attention. Yet, in the Thesaurus, there are 286 synonyms, antonyms, and words related to paying attention, such as listen and give heed.

4. Organizational performance is in crisis.

Research at BetterUp Labs analyzed behavioral data from 410,000 employees (2019-2025), linking real-world performance with organizational outcomes and psychological drivers. It reveals that performance isn’t just about efficiency, it’s about shifting fluidity between three performance modes – basic: the legacy from the industrial age, collaborative: the imperative of knowledge work, and adaptive: the core requirement to perform effectively in the face of technological disruption, by being agile, creative, and connected. The right human fuel powers these: motivation, optimism and agency, which our research has found to be in short supply and BetterUp states is running dry.

Data scientists at BetterUp uncovered that performance has declined by 2-6% across industries since 2019. In business terms, half of today’s workforce would land in a lower performance tier, across all three modes, by 2019 standards.

GenAI relies on activating all three performance gears, and the rise of AI-powered agents is reshaping the way teams work together. Research reveals that companies that invest in adaptive performance see up to 37% higher innovation.

5. Innovation is in crisis.

According to the Boston Consulting Group’s “Most Innovative Companies 2024 Report,” Innovation Systems Need a Reboot:

“Companies have never placed a higher priority on innovation—yet they have never been as unready to deliver on their innovation aspirations”

Their annual survey of global innovators finds that the pandemic, a shifting macroeconomic climate, and rising geopolitical tensions have all taken a toll on the innovation discipline. With high uncertainty, leaders shifted from medium-term advantage and value creation to short-term agility. In that environment, the systems guiding innovation activities and channeling innovation investments suffered, leaving organizations less equipped for the race to come. In particular, as measured by BCG’s proprietary innovation maturity score, innovation readiness is down across the elements of the innovation system that align with the corporate value creation agenda.

You can overcome these crises by transforming them into opportunities through a continuous learning platform that empowers, enables, and equips people to innovate today, making people matter in the age of AI. This will help develop new ways of shaping tomorrow while serving natural, social, and human capital, as well as humanity.

Current constraints of AI mean developing crucial human skills

While AI can perform many tasks, it cannot yet understand and respond to human emotions, build meaningful relationships, exhibit curiosity, or solve problems creatively.

This is why making people matter in the age of AI is crucial, as their human skills are essential.

Some of the most critical human skills are illustrated below.

Some of the Most Critical Human Skills

These essential human skills are challenging to learn and require time, repetition, and practice to develop; however, they are fundamental for creating practical solutions to address the three trends and four crises mentioned above.

Making people matter in the age of AI involves:

Providing individuals with the ‘chance to’ self-regulate their reactive responses by fostering self and systemic awareness and agility to flow with change and disruption in an increasingly uncertain, volatile, ambiguous, and complex world.
Inspiring and motivating people to ‘want to’ self-manage and develop their authentic presence and learning processes to be visionary and purposeful in adapting, innovating, and growing through disruption.
Teaching people ‘how to’ develop the states, traits, mindsets, behaviors, and skills that foster discomfort resilience, adaptive and creative thinking, problem-solving, purpose and vision, conflict negotiation, and innovation.

Human Skills Matter More Than Ever

The human element is critical to shaping the future of work, collaboration, and growth. The most effective AI outcomes will likely come from human-AI partnership, not from automation alone. Making people matter in the age of AI is crucial as part of the adoption journey, and partnering them with AI can turn their fears into curiosity, re-engage them purposefully and meaningfully, and enable them to contribute more to a team or organization. This, in turn, allows them to improve their well-being, maintain attention, innovate, and enhance their performance. Still, it cannot do this for them.

Making people matter in the age of AI by investing in continuous learning tools that develop their human skills will empower them to adapt, learn, grow, and take initiative. External support from a coach or mentor can enhance support, alleviate stress, boost performance, and improve work-life balance and satisfaction.

Human problems require human solutions.

Our human skills are irreplaceable in making real-world decisions and solving complex problems. AI cannot align fragmented and dysfunctional teams, repair broken processes, or address outdated governance. These are human problems requiring human solutions. That’s where human curiosity and inspiration define what AI can never achieve. It is not yet possible to connect people, through AI, to what wants to emerge in the future.

Making people matter in the age of AI can ignite our human inspiration, empowering, engaging, and enabling individuals to unleash their potential at the intersection of human possibility and technological innovation. We can then harness people’s collective intelligence and technological expertise to create, adapt, grow, and innovate in ways that enhance people’s lives, which are deeply appreciated and cherished.

This is an excerpt from our upcoming book, “Anyone Can Learn to Innovate,” scheduled for publication in late 2025.

Please find out more about our work at ImagineNation™.

Please find out about 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 will give you 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 upskill people and teams and develop their future fitness within your unique innovation context. Please find out more about our products and tools.

Image Credit: Unsplash

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Why Business Transformations Fail

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(and What Data Centers Can Teach Us About Getting Them Right)

Why Business Transformations Fail - Pexels

GUEST POST from Robyn Bolton

On May 6, Nvidia CEO Jensen Huang and ServiceNow CEO Bill McDermott joined CNBC’s “Power Lunch” to discuss the companies’ partnership. But something that Huang said about large-scale cloud service providers (i.e., hyperscalers) at the end of the interview stopped me in my tracks:

It’s not a data center that stores information. It’s a factory that produces intelligence. And these intelligence tokens could be reformulated into music, images, words, avatars, recommendations of music, movies, or, you know, supply chain optimization techniques.

What struck me wasn’t the claim about what data centers and AI could create — we’ve seen evidence of that already. It was the re-framing of data centers from storage solutions to “intelligence factories.”

When leaders fail to lead, or even recognize that the business they’re in is different, even the best efforts at business transformation are doomed.

Because re-framing is how Disruption begins.

Data Centers Are No Longer in the Data Business

Repositioning your company to serve a new job requires rethinking, redesigning, and rebuilding everything.

Consider the old adage that railroads failed because they thought they were in the railroad business. By defining themselves by their offering (railroad transportation) rather than the Jobs to be Done they solve (move people and cargo from A to B), railroads struggled to adapt as automobiles became common and infrastructure investments shifted from railroads to highways.

Data centers have similarly defined themselves by their offering (data storage). However, Huang’s reframing signals a critical shift in thinking about the Jobs that data centers solve: “provide intelligence when I need it” and “create X using this intelligence.”

Intelligence Factories Require a New Business Model

This shift—from providing infrastructure for storing data to producing intelligence, strategic analysis, and creative output—will impact business models dramatically.

Current pricing models based on power consumption or physical space will fail to capture the full value created. Capabilities mustexpand beyond building infrastructure to include machine learning and AI partnerships.

But Intelligence Factories are Just the Beginning

While Intelligence Factories will require data centers to rethink their business models and may even introduce a new basis of competition (a requirement for Disruption), they’re only a stepping-stone to something far more disruptive: Dream Factories.

While the term “Dream Factory” was coined to describe movie studios during Golden Era, the phrase is starting to be used to describe the next iteration of data centers and AI. Today’s AI is limited to existing data and machine learning capabilities, but we’re approaching the day when it can create wholly new music, images, words, avatars, recommendations, and optimization techniques.

This Is Happening to Your Business, Too

This progression will transform industries far beyond technology. Here’s what the evolution from data storage to Intelligence Factory to Dream Factory could look like for you:

Healthcare: From storing medical records to diagnosing conditions to creating novel treatments
Financial Services: From tracking transactions to predicting market movements to designing new financial instruments
Manufacturing: From inventory management to process optimization to inventing new materials
Retail: From cataloging products to personalizing recommendations to generating products that don’t yet exist

How to prepare for your Dream Factory Era

Ask yourself and your team these three questions:

Is my company defining itself by what it produces today or by the evolving needs it serves?
What is our industry’s version of the shift from data storage to dream factory?
What happens to our competitive advantage if someone else creates our industry’s dream factory before we do?

If you’re serious about transformation, take a cue from the data centers: redefine what business you’re in—before someone else does.

After all, the key to success isn’t trying to stay a data center. It’s recognizing you’ve become an intelligence factory, and your long-term success depends on becoming a dream factory.

Image credit: Pexels

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Innovation or Not – SpinLaunch

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Innovation or Not - SpinLaunch

GUEST POST from Art Inteligencia

In the fast-paced world of space exploration, innovation is a driving force that propels new companies and ideas into the spotlight. One such company is SpinLaunch, which is making waves with its novel approach to launching payloads into space. But what sets SpinLaunch apart, and how do we assess whether its approach is truly an innovation or not?

The Concept Behind SpinLaunch

SpinLaunch is taking a radically different approach to space launch by using a kinetic energy-based system rather than traditional rocketry. Their technique involves a high-speed rotating arm that builds up momentum and catapults a payload to the edge of space, drastically reducing the need for fuel and cutting down on costs. This approach is not only cost-effective but also environmentally friendly, addressing two significant pain points in the space industry.

Key Criteria for Innovation Assessment

Novelty: Is the concept fresh and previously unexplored?
Feasibility: Can the technology be realistically executed?
Impact: What benefits does the innovation provide to the industry and society?
Scalability: Can the idea grow and adapt to broader applications?

Case Study: Assessing SpinLaunch

Novelty

SpinLaunch undoubtedly introduces a novel approach to space launches. Traditional methods rely heavily on chemical propulsion. In contrast, SpinLaunch’s kinetic system stands out by leveraging physics in a way that hasn’t been commercially applied to space launches before.

Feasibility

The technical feasibility of SpinLaunch’s idea has been demonstrated through successful suborbital launches, proving that their kinetic system can indeed hurl payloads into space. However, the transition from suborbital to orbital flights will be the true test of feasibility. Critical engineering challenges remain, particularly related to the G-forces sustained by payloads during launch.

Impact

SpinLaunch has the potential to revolutionize the space industry by making launches significantly cheaper and more frequent. The environmental benefits of reducing fuel consumption cannot be understated either. If successfully scaled, the impact would reach beyond cost — it could democratize access to space.

Scalability

Currently, SpinLaunch is focused on small to medium-sized payloads. For scalability, the company must expand its capabilities to accommodate larger satellites and potentially human passengers. Adapting the technology for broader applications will be essential.

Conclusion: Is SpinLaunch an Innovation?

SpinLaunch exhibits the hallmarks of a true innovation. By addressing cost, environmental impact, and frequency of launches, it provides substantial benefits to the space industry. However, the road to demonstrating full potential is fraught with engineering and market challenges. Yet, the novelty and promise of their approach cannot be ignored.

Here is a 40 minute documentary that dives deep into the engineering, problem solving and innovation approach:

Opportunities for Expansion

To strengthen the case for SpinLaunch as an innovation, future assessments could involve the impact on related industries such as satellite manufacturing. More real-world data from further launches will offer insights into long-term feasibility and environmental impact. Engaging with regulators and potential partners early will be crucial to addressing scalability challenges.

Revision & Expansion

The ongoing journey of SpinLaunch should be closely monitored. As the company progresses, it should aim to address:

Risk Management: How can the company mitigate potential risks associated with high G-force impacts on sensitive equipment?
Regulatory Hurdles: Navigating international laws and space treaties will be essential as SpinLaunch aims for global reach.
Commercial Partnerships: Collaborations with established aerospace companies could fast-track development and market entry.

The future of SpinLaunch lies in its ability to resolve these emerging challenges while maintaining its innovative edge, positioning the company as a potential leader in transforming space access.

So, what do you think? Innovation or not?

Image credit: SpinLaunch

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