Three Myths That Kill Change and Transformation

Three Myths That Kill Change and Transformation

GUEST POST from Greg Satell

In 1975, more than 80% of US corporate assets were tangible assets, things like factories, equipment and real estate. When leaders in an organization made decisions about change, they tended to involve tangible, strategic assets, such as building a new factory, entering a new market or launching a new line of products.

So when the modern practice of change management arose in the 1980s, that’s what it was designed to address. Managers began to recognize the need to communicate changes to the rank and file, so that they could better understand it and contribute to its success. An entire cottage industry of consultants arose to fill that need.

But now that situation has flipped and more than 80% of corporate assets are intangible. When we talk about change today we are usually talking about changes in people themselves, in how they think and how they act. Clearly, that’s a very different type of thing and we need to approach change differently. Unfortunately, too many people are mired in the past.

Myth #1: If People Understand Change, They Will Embrace It

Leaders like to be seen at the cutting edge and, to be effective, they need to believe in themselves. That’s what makes transformational initiatives so attractive. They’re much more fun than the more mundane aspects of managing an enterprise, like improving operations or cutting costs. Change gives leaders a chance to dream.

That’s what the practice of change management was designed to support. Someone high up in an organization would get an idea to, say, launch a new product line for a new market and the consultants would be brought in to help communicate the idea so that everyone could understand just how brilliant the idea was.

Of course, even if employees thought the idea was stupid there wasn’t much they could do about it. If a CEO wants to launch a new product line, invest in new factories and equipment and hire new people, there’s nothing the rank and file can do about it. Leadership has full control over tangible, strategic assets.

But today, when the vast majority of corporate assets are intangible, transformation initiatives involve changes in how people think and what they do, which leadership does not control. People have the power to resist and you can be sure they will. That’s why change fails, not because people don’t understand it, but because they don’t like it and actively sabotage it.

The truth is that humans form attachments to other people, ideas and things. When they feel those attachments are threatened, they will often lash out. That’s why when you ask people to change how they think or what they do, you will invariably offend some people’s identity, dignity and sense of self and they will act out in ways that are dishonest, underhanded and deceptive. That doesn’t make them bad people—we all do it—it just makes them human.

Myth #2: You Have To Convince The Skeptics

There is something baffling about human nature. Whenever we have an idea we are passionately about we feel intense desire to convince skeptics. Our inner marketers want to identify specific objections and then devise airtight arguments to counter them. We envision ourselves being dazzlingly persuasive and making our case.

Change management consultants encourage this type of thinking. They advise us to “provide simple, clear choices and consequences” and “show the benefits in a real and tangible way.” They also suggest that we have “open and honest conversations” and “even make a personal appeal” in order to “convert the strongest dissenters.”

This may make sense if the objections are rational, but often they are not. In fact, the most visceral dissent almost invariably has more to do with how people see themselves. That’s why change so often offends people’s dignity, because their identity is so often wrapped up in what they think and what they do. You can’t ask people to stop being who they think they are.

The good news is that you don’t have to. Consider the scientific evidence:

  • Sociologist Everett Rogers‘ “S-curve” research estimated that it takes only 10%-20% of a system to adopt an innovation for rapid acceptance by the majority to follow.
  • Professor Erica Chenoweth’s analysis of over 300 political revolutions in the past century finds that it only took 3.5% of active participation in a society to succeed, and many campaigns prevailed with less.
  • Recent research by sociologist Damon Centola at the University of Pennsylvania suggests that the tipping point for change is getting 25% of people in an organization on board.

There’s no need to waste time trying to convince people who hate your idea and want to undermine it in any way they can. Any engagement is very unlikely to be successful and very likely to frustrate and exhaust you. You are much better off focusing your energies on empowering those who are enthusiastic about change to succeed, so that they can bring in others who can bring in others still. That’s how you build traction.

Myth #3: Things Will Get Easier After A “Quick & Easy” Win

Change management pioneer John Kotter, who first started writing books about organizational transformation in the 1970s, has long advised to establish short-term wins. He stressed that these must be unambiguously successful, visible throughout the organization and clearly related to the change effort.

The concept is problematic for a number of reasons. First, and this isn’t really Kotter’s fault, but the idea of a “short-term win” is often understood to be a “quick and easy win,” which can backfire. If a change isn’t meaningful and relevant, then touting it can make a leader seem out of touch, discrediting the transformation effort.

More problematic is the idea that we should be shooting for projects that are unambiguously successful. That level of success is exceedingly rare. If we are going to wait for perfect projects, we may be waiting a long time. What we want to do is start with a Keystone Change and then learn from whatever successes and failures we encounter on the way.

Perhaps most dangerous of all is the notion that early projects should be visible to large numbers of people. Remember, if a change is significant and has the potential for impact, there will always be people who want to undermine it in ways that are dishonest, underhanded and deceptive. Why would we want to broadcast early efforts so they can knock them down?

The truth is that things don’t get easier after initial successes. They often get harder because those who oppose change now see it is really possible. That’s why you need to build a plan to anticipate resistance and Survive Victory from the start.

Change for the World We Live In

In the early 20th century, the great sociologist Max Weber noted that the sweeping industrialization taking place would lead to a change in organization. As cottage industries were replaced by large enterprises, leadership would have to become less traditional and charismatic and more organized and rational.

He also foresaw that jobs would need to be broken down into small, specific tasks and be governed by a system of hierarchy, authority and responsibility. This would require a more formal mode of organization—a bureaucracy—in which roles and responsibilities were clearly defined. Weber’s model reigned for a full century.

Over the past few decades we’ve undergone a similar shift from bureaucratic hierarchies to connected ecosystems and that affects how we need to approach transformation. The changes we need to implement today have less to do with decisions made about strategic, tangible assets and more to do with how people think and act. That presents a very different set of challenges and we need to adapt.

What we can’t do is pretend that the world is the same as it was 30 or 40 years ago and continue with practices that are so obviously failing. Just as Weber dispelled myths about infallible leaders a century ago, we need to break free of outdated concepts that have led to unacceptably poor results.

It’s time to leave myths behind and take a more clear-eyed approach to leading change.

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

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Why a Customer Experience Audit is Non-Negotiable in 2026

An Analysis of ROI, Retention, and Brand Resilience

Why a Customer Experience Audit is Non-Negotiable in 2026

LAST UPDATED: May 29, 2026 at 8:20PM

by Braden Kelley and Art Inteligencia

In the current business landscape, the traditional boundaries of competition have dissolved. Pricing is transparent, product features are rapidly emulated, and global logistics have leveled the playing field for distribution. What remains as the final, most defensible frontier is Customer Experience (CX). However, many organizations operate on assumptions rather than evidence, relying on outdated journey maps that don’t account for the rise of generative AI, omnichannel complexity, and the heightened emotional expectations of the modern consumer.

A Customer Experience Audit is not merely a “health check”; it is a rigorous diagnostic process designed to uncover the “silent killers” of conversion and loyalty. It bridges the gap between how a company thinks it is performing and how the customer actually feels at every touchpoint. By systematically evaluating the friction, flow, and emotional resonance of the brand journey, organizations can transform from being reactive service providers to proactive experience leaders. Below, we explore the ten most compelling reasons to initiate this audit, backed by the latest industry data.


Top 10 Reasons to Conduct a CX Audit

1. Identify and Eliminate Friction Points

An audit maps the real-world customer journey to find where users drop off. Small changes to these “micro-moments” can yield massive returns.

  • The Statistic: Simplifying a complex sign-up form can increase successful registrations by 20% (Reform).
  • The Insight: 53% of consumers say being kept on hold alone is reason enough to stop doing business with a brand (Webex/Futurum Group).

2. Improve Customer Retention and Reduce Churn

Acquiring a new customer is significantly more expensive than keeping an existing one. Audits identify the specific negative experiences that drive customers to competitors.

  • The Statistic: Resolving CX issues can reduce churn by 85% (Esteban Kolsky).
  • The Insight: 60% of customers will leave a brand after just one or two negative experiences (Zoom, 2025).

3. Maximize Revenue and Upsell Opportunities

Satisfied customers aren’t just loyal; they are less price-sensitive and more open to higher-value offers.

  • The Statistic: Companies that excel at CX see an average 80% increase in revenue (Zippia/Zendesk).
  • The Insight: 61% of customers will spend at least 5% more with a brand they know provides a good experience (Emplifi).

4. Optimize the Onboarding Experience

The first post-purchase interaction sets the tone for the entire relationship. Audits ensure your onboarding isn’t frustrating or confusing.

  • The Statistic: Effective onboarding makes customers 92% more likely to renew their subscriptions (TSIA/OnRamp).
  • The Insight: Interactive and engaging onboarding content can boost early product usage by 55% (Wyzowl).

5. Validate AI and Automation Strategy

Many companies layer AI over broken processes. An audit ensures your bots are actually helping rather than “getting stuck in loops.”

  • The Statistic: AI adoption can increase the number of issues resolved per hour by 15% (Quarterly Journal of Economics, 2025).
  • The Insight: 80% of customers expect bots to escalate to a human when needed, but only 38% say this actually happens (Zoom, 2025).

6. Align Internal Silos

Audits reveal when different departments (Sales, Marketing, Support) are providing conflicting information, which destroys customer trust.

  • The Statistic: 90% of customers expect consistent interactions across all channels (SDL/Renascence).
  • The Insight: 54% of organizations cite “fragmented or siloed data” as their biggest barrier to leveraging customer insights (Zendesk).

7. Benchmark Against Competitors

In 2026, CX is the primary differentiator as products and pricing become easier to replicate.

  • The Statistic: 89% of businesses are expected to compete primarily on CX this year (Gartner/OnRamp).
  • The Insight: Customer-centric brands are 60% more profitable than those that do not focus on CX (Deloitte).

8. Personalize with Purpose

Generic “Dear [Name]” emails no longer count as personalization. Audits help you use data to anticipate needs and determine the most authentic places to personalize customer interactions and experiences.

  • The Statistic: Brands with mature personalization are 71% more likely to report high customer loyalty (Deloitte).
  • The Insight: 80% of consumers are more likely to purchase from a brand that offers tailored experiences (Epsilon).

9. Enhance Employee Satisfaction

When customers are frustrated, frontline employees bear the brunt of that anger. Fixing the CX reduces agent burnout.

  • The Statistic: 62% of respondents identified a defined relationship between Ex and Cx, stating that the impact was “large” or “significant” and measurable. (Workstep).
  • The Insight: Companies with strong CX leadership are 2x more likely to have engaged employees (Temkin Group).

10. Turn Feedback into Action

Most companies collect feedback, but few act on it. An audit creates a structured roadmap for implementation.

  • The Statistic: Acting on customer feedback can lead to a 25% reduction in churn (Forrester/Renascence).
  • The Insight: 77% of customers view a brand more favorably if they proactively invite and act on feedback (Microsoft).

Summary Table of Audit Benefits

Benefit Impact Metric Source
Revenue Growth 80% increase Zippia/Zendesk
Retention 25-30% improvement Martin Newman
Profitability 60% higher than peers Deloitte
Operational Efficiency 10-15% cost savings Martin Newman

Conclusion: From Insight to Transformation

A Customer Experience Audit is the bridge between organizational intention and customer reality. In an era defined by rapid technological shifts and declining brand loyalty, the ability to see your business through the eyes of the consumer is your greatest competitive advantage. The statistics provided throughout this analysis make a clear case: companies that invest in understanding and optimizing their journey are not just surviving—they are significantly outperforming their peers in revenue, retention, and employee engagement.

However, an audit is only as valuable as the actions that follow (for more see Customer Experience Audit 101). The true power of this process lies in its ability to align internal silos, validate high-stakes investments in AI, and foster a culture of continuous improvement. As we move further into 2026, the question for leadership is no longer whether you can afford to conduct a CX audit (aka Customer Experience Risk and Revenue Leakage Diagnostic), but whether you can afford to continue operating without the clarity one provides. By prioritizing the human-centered elements of your business, you secure not just a transaction, but a long-term piece of your customer’s future.

Customer Experience Audit ROI Flipbook
Download the ‘Top 10 Reasons to Conduct a CX Audit’ flipbook PDF

Looking for someone to conduct an independent customer, partner or employee experience audit? Braden Kelley specializes in conducting these kinds of audits, mapping the relevant journeys and benchmarking your performance against select competitors.

Book Your Experience Audit Today


Image credits: ChatGPT

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Google Gemini to clean up the article and add citations.

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How Engineered Living Therapeutics Are Redefining Healthcare

The Living Cure

LAST UPDATED: January 29, 2026 at 5:38 PM

How Engineered Living Therapeutics Are Redefining Healthcare

GUEST POST from Art Inteligencia

For centuries, medicine has been about chemistry — pills and potions designed to intervene in biological processes. But what if the medicine itself could think? What if it could adapt? What if it was alive? This isn’t science fiction; it’s the audacious promise of Engineered Living Therapeutics (ELTs), and it represents a paradigm shift in human-centered healthcare that will redefine our relationship with illness.

As a thought leader in human-centered change and innovation, I’ve seen countless industries disrupted by radical new approaches. Biotechnology is no exception. ELTs are not merely advanced drugs; they are biological systems, often engineered microbes or cells, programmed to perform specific therapeutic functions within the body. This is innovation at its most profound: leveraging the inherent intelligence and adaptability of life itself to heal.

Beyond the Pill: The Intelligence of Living Medicine

Traditional pharmaceuticals often act as blunt instruments, targeting specific pathways with limited specificity and potential side effects. ELTs, by contrast, offer a level of precision and dynamic response previously unimaginable. Imagine a therapy that can detect disease markers, produce therapeutic compounds only when needed, or even self-regulate its activity based on the body’s changing state. This intelligent adaptability is what makes ELTs a truly human-centered approach to healing, tailoring treatment to the unique, fluctuating biology of each individual.

“The future of medicine isn’t just about what we put into the body; it’s about what we awaken within it. Engineered Living Therapeutics aren’t just treatments; they’re collaborations with our own biology.”

— Braden Kelley

Case Study I: Reprogramming the Gut for Metabolic Health

A burgeoning area for ELTs lies within the human microbiome. Consider the challenge of chronic metabolic diseases like Type 2 Diabetes. Current treatments often manage symptoms without addressing underlying dysregulation. One biotech startup engineered a strain of probiotic bacteria to reside in the gut. This engineered bacterium was programmed to sense elevated glucose levels and, in response, produce and deliver an insulin-sensitizing peptide directly within the intestinal lumen.

This targeted, localized intervention offered a novel way to manage blood sugar, reducing the systemic side effects associated with orally administered drugs. The innovation here wasn’t just a new molecule, but a living delivery system that dynamically responded to the body’s needs, representing a truly personalized and responsive therapy.

Case Study II: Targeted Oncology with “Smart” Cells

Cancer treatment remains one of medicine’s most formidable challenges. While CAR T-cell therapy has revolutionized certain hematological cancers, ELTs are pushing the boundaries further. Imagine immune cells engineered not only to identify cancer cells but also to produce potent anti-cancer molecules directly at the tumor site, or even to activate other immune cells to join the fight.

One research initiative is exploring tumor-infiltrating lymphocytes (TILs) engineered to express specific receptors that bind to unique tumor antigens and simultaneously secrete localized immunomodulators. This approach aims to overcome the immunosuppressive microenvironment of solid tumors, a significant hurdle for many current immunotherapies. This represents a leap towards truly precision oncology, where the body’s own defenders are given a sophisticated, living upgrade.

Leading the Charge: Companies and Startups in the ELT Space

The ELT landscape is rapidly evolving, attracting significant investment and groundbreaking research. Established pharmaceutical giants like Novartis and Gilead Sciences (through Kite Pharma) are already active in the approved CAR T-cell therapy space, which serves as a foundational ELT. However, a vibrant ecosystem of innovative startups is pushing the frontier. Companies like Seres Therapeutics are leading with microbiome-based ELTs for infectious diseases. Synlogic is developing engineered bacteria for metabolic disorders and cancer. Ginkgo Bioworks, while not a therapeutic company itself, is a critical enabler, providing the foundational synthetic biology platform for engineering organisms. Additionally, numerous academic spin-offs and smaller biotechs are emerging, focusing on niche applications, advanced gene editing techniques within living cells, and novel delivery mechanisms, signaling a diverse and competitive future for ELTs.

Designing Trust in Living Systems

ELTs raise questions about control, persistence, and governance. Human-centered change demands proactive transparency, ethical foresight, and adaptive regulation.

The future of ELTs will be shaped as much by trust as by technology.

The Human-Centered Future of Living Therapies

Healthcare innovation has long been constrained by an assumption that treatment must be static to be safe. Engineered Living Therapeutics (ELTs) challenge that assumption by embracing biology’s native strength: adaptability.

ELTs are living systems intentionally designed to operate inside the human body. They sense, decide, and respond. In doing so, they force leaders, regulators, and innovators to rethink what medicine is and how it should behave.

“True healthcare innovation begins when we stop trying to control biology and start designing with it.”

— Braden Kelley

The journey with ELTs is just beginning. As with any transformative technology, there are ethical considerations, regulatory hurdles, and manufacturing complexities to navigate. However, the potential for these living medicines to offer durable, highly targeted, and adaptive treatments for a vast array of diseases — from cancer and autoimmune disorders to infectious diseases and chronic conditions — is immense. By placing the human at the center of this innovation, ensuring patient safety, accessibility, and shared understanding, we can unlock a future where our biology becomes an ally in healing, not just a battlefield.


Frequently Asked Questions

What are Engineered Living Therapeutics (ELTs)?ELTs are biological systems, typically engineered microbes (like bacteria) or human cells, programmed to perform specific therapeutic functions within the body to treat diseases.

How do ELTs differ from traditional drugs?Unlike static chemical drugs, ELTs are dynamic and can sense the body’s environment, adapt their function, and produce therapeutic effects precisely where and when needed, offering a more intelligent and targeted approach.

What types of diseases can ELTs potentially treat?ELTs show promise across a wide range of conditions, including cancer, autoimmune disorders, metabolic diseases (like diabetes), infectious diseases, and gastrointestinal disorders.

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 credits: Google Gemini

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Five Key Design Questions

Five Key Design Questions

GUEST POST from Mike Shipulski

1. What do they want?

Some get there with jobs-to-be-done, some use Customer Needs, some swear by ethnographic research and some like to understand why before what. But in all cases, it starts with the customer. Whichever mechanism you use, the objective is clear – to understand what they need. Because if you don’t know what they need, you can’t give it to them. And once you get your arms around their needs, you’re ready to translate them into a set of functional requirements, that once satisfied, will give them what they need.

2. What does it do?

A complete set of functional requirements is difficult to create, so don’t start with a complete set. Use your new knowledge of the top customer needs to define and prioritize the top functional requirements (think three to five). Once tightly formalized, these requirements will guide the more detailed work that follows. The functional requirements are mapped to elements of the design, or design parameters, that will bring the functions to life. But before that, ask yourself if a check-in with some potential customers is warranted. Sometimes it is, but at these early stages it’s may best to wait until you have something tangible to show customers.

3. What does it look like?

The design parameters define the physical elements of the design that ultimately create the functionality customers will buy. The design parameters define shape of the physical elements, the materials they’re made from and the interaction of the elements. It’s best if one design parameter controls a single functional requirement so the functions can be dialed in independently. At this early concept phase, a sketch or CAD model can be created and reviewed with customers. You may learn you’re off track or you may learn you’re way off track, but either way, you’ll learn how the design must change. But before that, take a little time to think through how the product will be made.

4. How to make it?

The process variables define the elements of the manufacturing process that make the right shapes from the right materials. Sometimes the elements of the design (design parameters) fit the process variables nicely, but often the design parameters must be changed or rearranged to fit the process. Postpone this mapping at your peril! Once you show a customer a concept, some design parameters are locked down, and if those elements of the design don’t fit the process you’ll be stuck with high costs and defects.

5. How to sell it?

The goodness of the design must be translated into language that fits the customer. Create a single page sales tool that describes their needs and how the new functionality satisfies them. And include a digital image of the concept and add it to the one-pager. Show document to the customer and listen. The customer feedback will cause you to revisit the functional requirements, design parameters and process variables. And that’s how it’s supposed to go.

Though I described this process in a linear way, nothing about this process is linear. Because the domains are mapped to each other, changes in one domain ripple through the others. Change a material and the functionality changes and so do the process variables needed to make it. Change the process and the shapes must change which, in turn, change the functionality.

But changes to the customer needs are far more problematic, if not cataclysmic. Change the customer needs and all the domains change. All of them. And the domains don’t change subtly, they get flipped on their heads. A change to a customer need is an avalanche that sweeps away much of the work that’s been done to date. With a change to a customer need, new functions must be created from scratch and old design elements must culled. And no one knows what the what the new shapes will be or how to make them.

You can’t hold off on the design work until all the customer needs are locked down. You’ve got to start with partial knowledge. But, you can check in regularly with customers and show them early designs. And you can even show them concept sketches.

And when they give you feedback, listen.

Image credit: Pixabay

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Samsung is Turning Customer Service into a Competitive Advantage

Samsung is Turning Customer Service into a Competitive Advantage

GUEST POST from Shep Hyken

In the 1980s, Jan Carlzon was tasked with turning around Scandinavian Airlines, which had been losing money, and making it profitable. He achieved this by getting everyone to buy into a concept he called “The Moment of Truth.” The definition of this phrase was so straightforward that all Scandinavian Airlines employees could understand it and act accordingly. He defined The Moment of Truth as any time a customer (passenger) came into contact with the company, they had the opportunity to form an impression. All employees were tasked with managing these moments and creating positive impressions. That concept is every bit as valid today as it was over 40 years ago.

This idea is the same, and probably more so, for customer support, the “department” that handles complaints and problems. However, I’d like to paraphrase Carlzon’s timeless wisdom: Any time a customer comes into contact with the company’s customer support department, it is an opportunity to create loyalty.

When you create loyalty through a positive customer experience (CX), especially with customer support, several things happen. First, customers come back. Second, they spend more. Third, they trust the company more. And fourth, they become your best advertising in the form of word of mouth.

Mark Williams, the head of customer care at Samsung Electronics America, has been tasked with turning customer support into a loyalty machine. In a recent interview, he shared several important and powerful points that apply to any business:

Customer Service/Support Shouldn’t Be Just About Fixing Problems

A customer may reach out to the company about a problem, and when they finally finish with the interaction, they have a sense of confidence in the company. Every interaction, even when it starts with a complaint or problem, is an opportunity to turn the customer into a loyal customer and brand ambassador.

Customer Service can be Proactive, Not Just Reactive

This is a powerful concept: proactive customer service. Using technology, a company can anticipate problems. Technology is now being integrated into items to help identify problems, often before customers are even aware of them. For example, Samsung’s “smart appliances” can alert customers that the refrigerator is getting warm and help schedule a repair before all the food in the refrigerator and freezer spoils. Williams says, “Get to customers quicker and solve their problems before they even know they have a problem.”

AI Should Not Replace Humans

The more I talk to CX leaders, the more I hear that companies are not reducing their customer support teams because of AI. If anything, they recognize that AI is a tool that helps people, not replaces them. Williams says, “AI is not a replacement. It is an enhancement to make the experience better and let our agents focus on the customers so they can solve problems quicker and more accurately.” Furthermore, when AI is used internally to assist employees, it delivers the right information in a timely manner and empowers them to create a better customer experience. For complicated issues, AI supports the agent while they resolve customer issues and work on rebuilding the customer’s trust in the brand.

The Three S’s of an Amazing Customer Experience

Williams shared his three core principles for delivering an experience that creates loyalty:

  1. Speed: Reduce the time it takes to resolve a customer’s issue. The sooner, the better. Williams is proud that Samsung’s repair network for consumer electronics covers 99% of the U.S. Eight out of 10 Americans (81%) are within 30 minutes of getting their products serviced. That’s actually convenience combined with speed, a powerful combination.
  2. Simplicity: Make it easy for customers to do business with you. Remove confusing policies and anything else that is inconvenient for the customer. Listen to your front-line employees who are actively listening to your customers to get ideas on how to create a simpler and more convenient experience.
  3. Service: Design experiences that put your customers first. When you put yourself in your customers’ shoes, you’ll find opportunities to improve customer service and the overall customer experience. Service includes friendly employees who are knowledgeable and deliver an experience that builds confidence and trust, even when things go wrong, because customers know they can count on you.

Final Words

For those in leadership who still view customer support as a cost center, think again. The people on the front line, along with the people designing digital self-service — an AI-fueled experience — are the extension of your sales and marketing departments. Loyalty can be built by turning around a customer with a complaint. In short, customer service can be an income-generating department. Reliable products are a given, but it’s the way a company handles a customer during a contentious or disappointing moment that makes them say, “I’ll be back!”

This article was originally published on Forbes.com.

Image credits: Pexels

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Win Your Way to an AI Job

Anduril’s AI Grand Prix: Racing for the Future of Work

LAST UPDATED: January 28, 2026 at 2:27 PM

Anduril's AI Grand Prix: Racing for the Future of Work

GUEST POST from Art Inteligencia

The traditional job interview is an antiquated artifact, a relic of a bygone industrial era. It often measures conformity, articulateness, and cultural fit more than actual capability or innovative potential. As we navigate the complexities of AI, automation, and rapid technological shifts, organizations are beginning to realize that to find truly exceptional talent, they need to look beyond resumes and carefully crafted answers. This is where companies like Anduril are not just iterating but innovating the very hiring process itself.

Anduril, a defense technology company known for its focus on AI-driven systems, recently announced its AI Grand Prix — a drone racing contest where the ultimate prize isn’t just glory, but a job offer. This isn’t merely a marketing gimmick; it’s a profound statement about their belief in demonstrated skill over credentialism, and a powerful strategy for identifying talent that can truly push the boundaries of autonomous systems. It epitomizes the shift from abstract evaluation to purposeful, real-world application, emphasizing hands-on capability over theoretical knowledge.

“The future of hiring isn’t about asking people what they can do; it’s about giving them a challenge and watching them show you.”

— Braden Kelley

Why Challenge-Based Hiring is the New Frontier

This approach addresses several critical pain points in traditional hiring:

  • Uncovering Latent Talent: Many brilliant minds don’t fit the mold of elite university degrees or polished corporate careers. Challenge-based hiring can surface individuals with raw, untapped potential who might otherwise be overlooked.
  • Assessing Practical Skills: In fields like AI, robotics, and advanced engineering, theoretical knowledge is insufficient. The ability to problem-solve under pressure, adapt to dynamic environments, and debug complex systems is paramount.
  • Cultural Alignment Through Action: Observing how candidates collaborate, manage stress, and iterate on solutions in a competitive yet supportive environment reveals more about their true cultural fit than any behavioral interview.
  • Building a Diverse Pipeline: By opening up contests to a wider audience, companies can bypass traditional biases inherent in resume screening, leading to a more diverse and innovative workforce.

Beyond Anduril: Other Pioneers of Performance-Based Hiring

Anduril isn’t alone in recognizing the power of real-world challenges to identify top talent. Several other forward-thinking organizations have adopted similar, albeit varied, approaches:

Google’s Code Jam and Hash Code

For years, Google has leveraged competitive programming contests like Code Jam and Hash Code to scout for software engineering talent globally. These contests present participants with complex algorithmic problems that test their coding speed, efficiency, and problem-solving abilities. While not always directly leading to a job offer for every participant, top performers are often fast-tracked through the interview process. This allows Google to identify engineers who can perform under pressure and think creatively, rather than just those who can ace a whiteboard interview. It’s a prime example of turning abstract coding prowess into a tangible demonstration of value.

Kaggle Competitions for Data Scientists

Kaggle, now a Google subsidiary, revolutionized how data scientists prove their worth. Through its platform, companies post real-world data science problems—from predicting housing prices to identifying medical conditions from images—and offer prize money, and often, connections to jobs, to the teams that develop the best models. This creates a meritocracy where the quality of one’s predictive model speaks louder than any resume. Many leading data scientists have launched their careers or been recruited directly from their performance in Kaggle competitions. It transforms theoretical data knowledge into demonstrable insights that directly impact business outcomes.

The Human Element in the Machine Age

What makes these initiatives truly human-centered? It’s the recognition that while AI and automation are transforming tasks, the human capacity for ingenuity, adaptation, and critical thinking remains irreplaceable. These contests aren’t about finding people who can simply operate machines; they’re about finding individuals who can teach the machines, design the next generation of algorithms, and solve problems that don’t yet exist. They foster an environment of continuous learning and application, perfectly aligning with the “purposeful learning” philosophy.

The Anduril AI Grand Prix, much like Google’s and Kaggle’s initiatives, de-risks the hiring process by creating a performance crucible. It’s a pragmatic, meritocratic, and ultimately more effective way to build the teams that will define the next era of technological advancement. As leaders, our challenge is to move beyond conventional wisdom and embrace these innovative models, ensuring we’re not just ready for the future of work, but actively shaping it.

Anduril Fury


Frequently Asked Questions

What is challenge-based hiring?

Challenge-based hiring is a recruitment strategy where candidates demonstrate their skills and problem-solving abilities by completing a real-world task, project, or competition, rather than relying solely on resumes and interviews.

What are the benefits of this approach for companies?

Companies can uncover hidden talent, assess practical skills, observe cultural fit in action, and build a more diverse talent pipeline by focusing on demonstrable performance.

How does this approach benefit candidates?

Candidates get a fair chance to showcase their true abilities regardless of traditional credentials, gain valuable experience, and often get direct access to influential companies and potential job offers based purely on merit.

To learn more about transforming your organization’s talent acquisition strategy, reach out to explore how human-centered innovation can reshape your hiring practices.

Image credits: Wikimedia Commons, Google Gemini

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Tackle Your Toughest Challenge This Year

Tackle Your Toughest Challenge This Year

GUEST POST from Geoffrey A. Moore

This is the first in what I hope to be an extended series of blogs focused on a single topic: What is the toughest challenge your company faces today, and what would it take to overcome it? I’ve reached out to my network, so I have a few good ones to start with, but needless to say, I would be very interested to learn what you are up against in your enterprise. In the meantime, here is my first shot on goal:

“I think we had stopped innovating for a long time. Customers were disappointed. But over the past few years, we have made massive improvements to our products. In fact, many who use the products feel like they are best in class. Our big challenge is getting the market to recognize that we are not the company we were a decade ago. This tends to be very easy to accomplish in small pockets but is a huge challenge at scale.”

There is a whole cohort of global enterprises that are facing this conundrum, including the iconic enterprise tech companies that rode the client-server/Internet wave to become the great growth stocks of the 1990s, who then became overshadowed by the massive mobile/cloud wave that has driven consumer tech successes in this century, and who are now institutional, single-digit-growth anchor holdings in today’s value investors’ portfolios. What would it take to free their future from the pull of the past?

The answer comes in two parts. First, they have to participate in a wave of disruptive innovation that is inside the tornado, with AI and ML being likely current candidates. They don’t have to be the first mover or even the category leader, but they do have to gain a substantial share of some piece of the pie, enough for the world to see they are a real player and that their growth prospects have therefore materially changed. This is something that can — indeed must — be powered by internal forces, management committing to the risk, engineering committing to the task, go-to-market committing to the sales, and everyone competing like crazy to get enough share to be taken seriously.

This is a big deal in itself, but not as the quote above makes clear, the toughest challenge. Instead, it creates the toughest challenge, which is how to get the world to acknowledge and buy into the good work that has been done and that is continuing to be done. Specifically, the challenge is how to change the narrative.

Narratives are how we make sense of the world. They are the stories we tell about ourselves, our friends, our enemies, the products we use, the causes we participate in — you name it, if we have any stake in it, we tell stories about it. These stories circulate, and after a while, they become institutionalized as received wisdom or established reputation or brand image. As with “your father’s Oldsmobile,” everybody knows that so-and-so is such-and-such, without anyone giving it much thought. These narratives become signposts along the road of life. We expect them to stay the same. And that, of course, is what makes them so hard to change.

To change the narrative you need a forcing function. This has to be external to your enterprise, something that causes the world to reorient itself, and in so doing, to realize that its old signposts may no longer serve. In tech, we have been blessed with a plethora of forcing functions, something Joseph Schumpeter taught us to call “waves of creative destruction.” Such waves radically alter the allocation of budgets, and in so doing, they run roughshod over the old highways along with any of their signposts. To change your narrative, you have to position your enterprise in their path.

Satya Nadella’s “Cloud first, Mobile first” is a good example. Cloud threatened to creatively destroy Microsoft’s back office franchise, and mobile threatened to do the same to its PC operating system monopoly. Both were forcing functions. Now, it turns out that mobile did not work out for them, but cloud surely did. The point is, Satya’s tagline redefined Microsoft’s position, putting it in line for a whole new generation of investment. AMD is doing the same thing with AI chips, following Nvidia’s lead, just as Microsoft was following Amazon Web Services. Iconic companies do not have to lead the next wave. Nobody expects that, although Apple astoundingly did so not once, not twice, but three times within a space of little more than a decade. But because iconic enterprises have global footprints, because they are well positioned to capitalize on the new wave of change, they get the benefit of the doubt once they have demonstrated they can deliver products or services that make the grade.

That phrase “Satya’s tagline” leads me to my last point. You would think that changing the corporate narrative should be the function of corporate marketing, but it never is. First of all, it is unpopular, and marketing teams, aligned as they are with sales teams, are reluctant to do anything that would offend. Second, marketing does not have the clout. It wasn’t the tagline that anchored Microsoft’s change. It was the CEO himself, with the backing of the board.

And buried therein lies the third challenge — changing the narrative is deeply unpopular with value investors, particularly when it entails internal investments that impact earnings per share. It is not easy for a board of directors, who are continually reminded they are there to represent the interests of the shareholders, and the CEO, who is highly compensated to manage for shareholder value, to take a step back and do what they believe is the right thing for the long term.

Beneath a change in any corporate narrative, therefore, there is an underlying meta-narrative about the role of enterprise in relation to all its stakeholders. This includes its customers, partners, employees, and communities, as well as its investors. In that context, customers are family — they have skin in your game and are likely to stick with you through thick and thin. Investors, by contrast, do not. Your company is a financial instrument in their portfolio, and should it cease to perform the financial role they have in mind for it, they have no reason to hold onto it. You still need to take their interests seriously — they are your financial foundation — but they are not your reason for being. Customers are. So should you undertake to change your narrative, focus on why your customers need you to do so. They are your North Star.

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

Image Credit: Pixabay

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What to Do When Your Plans Are Already Obsolete

HINT: It has something to do with strategy execution

What to Do When Your Plans Are Already Obsolete

GUEST POST from Robyn Bolton

We are three full weeks into the new year and I am curious, how is the strategy and operating plan you spent all Q3 and Q4 working on progressing? You nailed it, right? Everything is just as you expected and things are moving forward just as you planned.

I didn’t think so.

So, like many others, you feel tempted to double down on what worked before or  chase every opportunity with the hope that it will “future-proof” your business.

Stop.

Remember the Cheshire Cat, “If you don’t know where you’re going, any road will get you there.”

You DO know where you’re going because your goals didn’t change. You still need to grow revenue and cut costs with fewer resources than last year.

The map changed.  So you need to find a new road.

You’re not going to find it by looking at old playbooks or by following every path available.

You will find it by following these three steps (and don’t require months or millions to complete).

Return to First Principles

When old maps fail and new roads are uncertain, the most successful leaders return to first principles, the fundamental, irreducible truths of a subject:

  1. Organizations are systems
  2. Systems seek equilibrium and resist change when elements are misaligned
  3. People in the system do what the system allows, models, and rewards

Returning to these principles is the root of success because it forces you to pause and ask the right questions before (re)acting.

Ask Questions to Find the Root Cause

Based on the first principles, think of your organization as a lock. All the tumblers need to align to unlock the organization’s potential to get to where you need to go.  When the tumblers don’t align, you stay stuck in the dying status quo.

Every organization has three tumblers – Architecture (how you’re organized), Behavior (what leaders actually do), and Culture (what gets rewarded) – that must align to develop and execute a strategy in an environment of uncertainty and constant change.

But ensuring that you’ve aligned all three tumblers, and not just one or two, requires asking questions to get to the root cause of the challenges.

Is your leadership team struggling to align on a decision because they don’t have enough data or can’t agree on what it means? The Behavior and Culture tumblers are misaligned with the structure and incentives of Architecture

Are people resisting the new AI tools you rolled out?  Architectural incentives and metrics, and leadership communications and behaviors are preventing buy-in.

Struggling to squeeze growth out of a stagnant business?  Structures and systems combined with organization culture are reinforcing safety and a fixed mindset rather than encouraging curiosity and learning.

Align the Tumblers

When you diagnose the root causes you find the misaligned tumbler. And, in the process of bringing it into alignment, it will likely pull the others in, too.

By role modeling leadership behaviors that encourage transparent communication (no hiding behind buzzwords), quantifying confidence, and smart risk taking, you’ll also influence culture and may reveal a needed change in Architecture.

Modifying the metrics and rewards in Architecture and making sure that your communications and behavior encourage buy-in to new AI tools, will start to establish an AI-friendly culture.

Overhauling Architecture to encourage and reward actions that expand that stagnant business into new markets or brings new solutions to your existing customers, will build new leadership Behaviors will drive culture change.

Get to your Goals

It’s a VUCA/BANI world AND It’s only going to accelerate. That means that the strategy you developed last quarter and the operational plans you set last month will be obsolete by the end of the week.

But the strategy and the plan were never the goal. They were the road you planned based on the map you had.  When the map changes, the road does, too. But you can still get to the goal if you’re willing to fiddle with a lock.

Image credit: Pixabay

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We Must Stop Fooling Ourselves and Get Our Facts Straight

We Must Stop Fooling Ourselves and Get Our Facts Straight

GUEST POST from Greg Satell

Mehdi Hasan’s brutal takedown of Matt Taibbi was almost painful to watch. Taibbi, a longtime muckraking journalist of some renown, was invited by Elon Musk to review internal communications that came to be known as the Twitter Files and made big headlines with accusations regarding government censorship of social media.

Yet as Hasan quickly revealed, Taibbi got basic facts wrong, either not understanding what he was looking at, doing sloppy work or just plainly being disingenuous. What Taibbi was reporting as censorship was, in fact, a normal, deliberative process for flagging problematic content, most of which was not taken down.

He looked foolish, but I could feel his pain. In both of my books, I had similarly foolish errors. The difference was that I sent out sections to be fact-checked by experts and people with first-hand knowledge of events before I published. The truth is that it’s not easy to get facts straight. It takes hard work and humility to get things right. We need to be careful.

A Stupid Mistake

Some of the most famous business stories we hear are simply not accurate. Gurus and pundits love to tell you that after inventing digital photography Kodak ignored the market. Nothing could be further from the truth. In fact, its EasyShare line of cameras were top sellers. It also made big investments in quality printing for digital photos. The problem was that it made most of its money on developing film, a business that completely disappeared.

Another popular fable is that Xerox failed to commercialize the technology developed at its Palo Alto Research Center (PARC), when in fact the laser printer developed there saved the company. What also conveniently gets left out is that Steve Jobs was able to get access to the company’s technology to build the Macintosh because Xerox had invested in Apple and then profited handsomely from that investment.

But my favorite mistold myth is that of Blockbuster, which supposedly ignored Netflix until it was too late. As Gina Keating, who covered the story for years at Reuters, explains in her book Netflixed, the video giant moved relatively quickly and came up with a successful strategy, but the CEO, John Antioco, left after a fight with investor Carl Icahn and the strategy was reversed.

Yet that’s not exactly how I told the story. For years I reported that Antioco was fired. I even wrote it up that way in my book Cascades until I contacted the former CEO to fact-check it. He was incredibly generous with his time, corrected me and then gave me additional insights that improved the book.

To this day, I don’t know exactly why I made the mistake. In fact, as soon as he pointed it out I knew I was wrong. Somehow the notion that he was fired got stuck in my head and, with no one to correct me, it just stayed there. We like to think that we remember things as they happened, but unfortunately our brains don’t work that way.

Why We Get Fooled

We tend to imagine that our minds are some sort of machines, recording what we see and hear, then storing those experiences away to be retrieved at a later time, but that’s not how our brains work at all. Humans have a need to build narratives. We like things to fit into neat patterns and fill in the gaps in our knowledge so that everything makes sense.

Psychologists often point to a halo effect, the tendency for an impression created in one area to influence opinion in another. For example, when someone is physically attractive, we tend to infer other good qualities and when a company is successful, we tend to think other good things about it.

The truth is that our thinking is riddled with subtle yet predictable biases. We are apt to be influenced not by the most rigorous information, but what we can most readily access. We make confounding errors that confuse correlation with causality and then look for information that confirms our judgments while discounting evidence to the contrary.

I’m sure that both Matt Taibbi and I fell into a number of these pitfalls. We observed a set of facts, perceived a pattern, built a narrative and then began filling in gaps with things that we thought we knew. As we looked for more evidence, we seized on what bolstered the stories we were telling ourselves, while ignoring contrary facts.

The difference, of course, is that I went and checked with a primary source, who immediately pointed out my error and, as soon as he did, it broke the spell. I immediately remembered reading in Keating’s book that he resigned and agreed to stay on for six months while a new CEO was being hired. Our brains do weird things.

How Our Errors Perpetuate

In addition to our own cognitive biases, there are a number of external factors that conspire to perpetuate our beliefs. The first is that we tend to embed ourselves in networks that have similar experiences and perspectives that we do. Scientific evidence shows that we conform to the views around us and that effect extends out to three degrees of relationships.

Once we find our tribe, we tend to view outsiders suspiciously and are less likely to scrutinize allies. In a study of adults that were randomly assigned to “leopards” and “tigers,” fMRI studies noted hostility to out-group members. Research from MIT suggests that when we are around people we expect to agree with us, we don’t check facts closely and are more likely to share false information.

In David McRraney’s new book, How to Change a Mind, he points out that people who are able to leave cults or reject long-held conspiracy theories first build alternative social networks. Our associations form an important part of our identity, so we are loath to change our opinions that signal inclusion into our tribe. There are deep evolutionary forces that drive us to be stalwart citizens of the communities we join.

Taibbi was, for years, a respected investigative journalist at Rolling Stone magazine. There, he had editors and fact checkers to answer to. Now, as an independent journalist, he has only the networks that he chooses to give him feedback and, being human like all of us, he subtly conforms to a set of dispositions and perspectives.

I probably fell prey to similar influences. As someone who researches innovation, I spend a lot of time with people who regard Netflix as a hero and Blockbuster as something of a bumbler. That probably affected how I perceived Antioco’s departure from the company. We all have blind spots and fall prey to the operational glitches in our brains. No one is immune.

Learning How To Not Fool Ourselves

In one of my favorite essays the physicist Richard Feynman wrote, “The first principle is that you must not fool yourself — and you are the easiest person to fool. So you have to be very careful about that,” He goes on further to say that simply being honest isn’t enough, you also need to “bend over backwards” to provide information so that others may prove you wrong.

So the first step is to be hyper-vigilant and aware that your brain has a tendency to fool you. It will quickly grasp on the most readily available data and detect patterns that may or may not be there. Then it will seek out other evidence that confirms those initial hunches while disregarding contrary evidence.

This is especially true of smart, accomplished people. Those who have been right in the past, who have proved the doubters wrong, are going to be less likely to see the warning signs. In many cases, they will even see opposition to their views as evidence they are on the right track. There’s a sucker born every minute and they’re usually the ones who think that they’re playing it smart.

Checking ourselves isn’t nearly enough, we need to actively seek out other views and perspectives. Some of this can be done with formal processes such as pre-mortems and red teams, but a lot of it is just acknowledging that we have blind spots, building the habit of reaching out to others and improving our listening skills.

Perhaps most of all, we need to have a sense of humility. It’s far too easy to be impressed with ourselves and far too difficult to see how we’re being led astray. There is often a negative correlation between our level of certainty and the likelihood of us being wrong. We all need to make an effort to believe less of what we think.

— Article courtesy of the Digital Tonto blog
— Image credit: 1 of 1,050+ FREE quotes for your meetings & presentations at http://misterinnovation.com

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You Cannot Be Too Busy to Prioritize

You Cannot Be Too Busy to Prioritize

GUEST POST from Stefan Lindegaard

Most teams I meet are swamped. Everyone is busy. Prioritization becomes a task on its own – or a quick fix to sort the chaos.

But here is the trap:

Prioritization often defaults to short-term execution.

We solve what is urgent.

We push what is noisy.

We clear the decks – but rarely step back.

What gets left behind?

  • Long-term initiatives
  • Capability-building
  • Strategic reflection
  • Learning, networking, and future growth

All of it gets labelled “nice to have.”

And that is where performance erodes over time.

High-performance leadership means protecting what matters – even when it is not urgent.

It is not just about doing things right. It is about making space for the things that keep you moving in the right direction.

So next time someone says, “We are too busy to focus on this right now” …

Ask: What will it cost us later if we do not?

Image Credit: Stefan Lindegaard

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