Category Archives: Customer Experience

Why We Love to Hate Chatbots

Why We Love to Hate Chatbots

GUEST POST from Shep Hyken

More and more, brands are starting to get the chatbot “thing” right. AI is improving, and customers are realizing that a chatbot can be a great first stop for getting quick answers or resolving questions. After all, if you have a question, don’t you want it answered now?

In a recent interview, I was asked, “What do you love about chatbots?” That was easy. Then came the follow-up question, “What do you hate about chatbots?” Also easy. The truth is, chatbots can deliver amazing experiences. They can also cause just as much frustration as a very long phone hold. With that in mind, here are five reasons to love (and hate) chatbots:

Why We Love Chatbots

  1. 24/7 Availability: Chatbots are always on. They don’t sleep. Customers can get help at any time, even during holidays.
  2. Fast Response: Instant answers to simple questions, such as hours of operation, order status and basic troubleshooting, can be provided with efficiency and minimal friction.
  3. Customer Service at Scale: Once you set up a chatbot, it can handle many customers at once. Customers won’t have to wait, and human agents can focus on more complicated issues and problems.
  4. Multiple Language Capabilities: The latest chatbots are capable of speaking and typing in many different languages. Whether you need global support or just want to cater to different cultures in a local area, a chatbot has you covered.
  5. Consistent Answers: When programmed properly, a chatbot delivers the same answers every time.

Chatbots Shep Hyken Cartoon

Why We Hate Chatbots

  1. AI Can’t Do Everything, but Some Companies Think It Can: This is what frustrates customers the most. Some companies believe AI and chatbots can do it all. They can’t, and the result is frustrated customers who will eventually move on to the competition.
  2. A Lack of Empathy: AI can do a lot, but it can’t express true emotions. For some customers, care, empathy and understanding are more important than efficiency.
  3. Scripted Retorts Feel Robotic: Chatbots often follow strict guidelines. That’s actually a good thing, unless the answers provided feel overly scripted and generic.
  4. Hard to Get to a Human: One of the biggest complaints about chatbots is, “I just want to talk to a person.” Smart companies make it easy for customers to leave AI and connect to a human.
  5. There’s No Emotional Connection to a Chatbot: You’ll most likely never hear a customer say, “I love my chatbot.” A chatbot won’t win your heart. In customer service, sometimes how you make someone feel is more important than what you say.

Chatbots are powerful tools, but they are not a replacement for human connection. The best companies use AI to enhance support, not replace it. When chatbots handle the routine issues and agents handle the more complex and human moments, that’s when customer experience goes from efficient to … amazing.

Image credits: Unsplash

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

Is Your Customer Experience a Lie?

LAST UPDATED: February 10, 2026 at 4:09 PM

Is Your Customer Experience a Lie?

by Braden Kelley and Art Inteligencia

In the high-stakes theater of modern business, many leaders have developed a remarkable talent for a dangerous form of “experience narcissism.” They stand in boardrooms, surrounded by glowing dashboards and rising Net Promoter Scores (NPS), convincing themselves of a comforting delusion: that they already know exactly what it feels like to be their customer. They assume that because the machine is running, it must be well-oiled. But as a champion of Customer Experience Audits, I have seen far too many organizations fail not because they lacked a great product, but because they lacked the courage to look in the mirror.

The refusal to conduct regular, rigorous customer experience audits is rarely a matter of resources; it is a defensive reflex. It is the Corporate Antibody Response protecting the status quo. Leaders tell themselves that their digital analytics tell the whole story, or that “if it were truly broken, we’d hear about it.” These are the lies that create Invisible Friction — the silent, compounding drag that prevents an invention from ever reaching its potential as a true innovation.

When we avoid the audit, we aren’t just saving time; we are actively choosing to ignore the hurdles that drive customers into the arms of more agile competitors. We treat the customer journey as a static map we drew five years ago, rather than a living, breathing, and often messy reality. To be a leader in the age of Purpose-Driven Innovation, you must be willing to trade your comfortable assumptions for the uncomfortable truth.

1. The Lie of “We Already Know Our Customers”

The first, and perhaps most seductive, lie that leaders tell themselves is the myth of the “Static Persona.” This is the belief that because the leadership team spent six months on a deep-dive research project three years ago, they now possess a permanent, intuitive understanding of their customer’s psyche. They treat customer knowledge as a milestone to be reached rather than a perishable asset. Competitors change the baseline for “convenience,” global events shift priorities, and technology alters how customers view value. Without a regular audit, leaders are effectively navigating today’s stormy seas using a map of a coastline that has already eroded.

This lie often manifests as “Experience Narcissism,” where executives assume their own personal interactions with the brand are representative of the average user’s journey. They use the latest flagship hardware on a high-speed corporate network and wonder why the front-line customer, using a three-year-old device on a spotty cellular connection, is frustrated. They confuse their authority with empathy. A rigorous audit acts as a necessary “ego-check,” stripping away the polished executive view to reveal the Invisible Friction that customers face every single day.

Furthermore, leaders frequently mistake “Customer Data” for “Customer Truth.” They point to demographic reports and purchase histories as proof of their intimacy with the market. But data tells you the what, while an audit tells you the why. You might know that a customer abandoned their cart, but without an audit of the experience, you won’t know if they left because of a technical glitch, a confusing shipping policy, or a sudden moment of brand distrust. To ignore the audit is to choose to lead from a spreadsheet rather than from the soul of the customer journey.

2. The Lie of “Digital Analytics Tells the Whole Story”

The second great deception is the worship of the “Dashboard Delusion” — the belief that a green arrow on a conversion chart is synonymous with a satisfied customer. Leaders often hide behind quantitative data because it feels objective, safe, and controllable. They see a steady flow of traffic and a predictable checkout rate and conclude that the Value Access path is clear. However, digital analytics are purely evidentiary; they show you where the footprints are, but they never show you the “ghosts”—the thousands of potential customers who looked at your landing page, felt a subtle pang of confusion or distrust, and vanished without leaving a single data point behind.

An audit is required because analytics cannot measure what didn’t happen. They don’t capture the frustration of a user who successfully completed a task but vowed never to return because the process was emotionally draining. They don’t show the Invisible Friction of a customer who had to open a separate tab to search for an explanation of your jargon. When leaders skip the audit, they are essentially trying to understand a symphony by looking at a spreadsheet of decibel levels; they see the volume, but they completely miss the dissonance.

Furthermore, relying solely on digital metrics often leads to “Local Maxima” thinking. You might optimize a button color or a headline to increase a click-through rate by $2\%$, but an experience audit might reveal that the entire feature is redundant or misaligned with the customer’s actual goal. Analytics tell you how to do the wrong thing more efficiently, while auditing tells you if you are doing the right thing at all. As I often emphasize, true Value Translation happens in the heart of the user, a place where Google Analytics has no login credentials.

3. The Lie of “We’ll Hear About It If It’s Broken”

The third lie is perhaps the most comfortable, and therefore the most catastrophic: the “Silence is Golden” fallacy. Leaders often operate under the assumption that their customers act as a free, 24/7 quality assurance team. They believe that if a friction point were truly detrimental to the brand, it would trigger a flood of support tickets or a viral social media outcry. This creates a false sense of security that I call the Reactive Trap. In reality, the vast majority of customers do not have the time, energy, or desire to help you fix your business. When they encounter a broken experience, they don’t complain — they simply evaporate.

This silence is not a sign of health; it is the sound of Silent Churn. For every one customer who takes the time to write a detailed email about a confusing interface or a lackluster service interaction, there are dozens more who quietly moved their business to a competitor who made the “Value Access” feel effortless. By the time a problem is “loud” enough to reach the executive suite without an audit, the organization has likely already lost significant market share. An audit is a proactive hunt for these silent killers, allowing for Human-Centered Change™ before the damage becomes irreversible.

Relying on complaints also skews a leader’s perspective toward “extreme” failures while ignoring the “death by a thousand cuts” that truly defines a brand’s reputation. A customer might not complain about a slightly slow load time, a mildly confusing confirmation email, or a repetitive form field, but the cumulative Cognitive Load of these micro-frictions erodes trust over time. As an innovation speaker, I frequently remind my clients that “no news” is often just a polite way of saying “I’ve found someone better.”

4. The Lie of “It’s Too Expensive and Time-Consuming”

The fourth lie is a classic case of “Accounting Myopia” — the belief that a customer experience audit is a discretionary expense rather than a fundamental investment in Value Creation. Leaders often look at the price tag of a comprehensive audit or the internal hours required to map a journey and immediately relegate it to the “maybe next year” pile. They view the audit as a cost center, a luxury to be indulged only when the budget is flush. What they fail to realize is that they are already paying for the audit every single day — not in invoices, but in the “Friction Tax” of lost conversions, increased support costs, and skyrocketing customer acquisition fees.

When you refuse to audit, you are essentially pouring expensive marketing “water” into a leaky bucket. You might spend millions on a new brand campaign, but if your Value Access path is riddled with Invisible Friction, a significant portion of that investment is being wasted. I’ll argue that if you think an audit is expensive, you haven’t calculated the cost of the “Experience Void” — the revenue left on the table by customers who encountered a hurdle and walked away. An audit doesn’t cost money; it recovers stolen profit.

Furthermore, the “Time-Consuming” argument is often a mask for a lack of organizational agility. Leaders fear that an audit will uncover a mountain of technical debt or procedural flaws that they aren’t prepared to fix, so they avoid the diagnosis to avoid the surgery. But in the age of Purpose-Driven Innovation, time is your most precious commodity. Every month you spend operating with a flawed experience is a month you give your competitors to build a better relationship with your audience. Let’s be honest: “You don’t have time not to audit.” You can either spend the time now to fix the journey, or spend the time later explaining to the board why your market share has evaporated.

5. The Lie of “Our NPS Score is Great”

The final, and perhaps most insidious, deception is the “Metric Shield” — the belief that a high Net Promoter Score (NPS) is a definitive certificate of health that renders a customer experience audit unnecessary. Leaders often cling to this single, shiny number as a way to soothe their egos and pacify the board. They argue that if the “score is up,” the customers must be happy. However, as any customer experience practitioner knows, NPS is a trailing indicator that is notoriously easy to manipulate and dangerously void of context. It tells you the temperature of the room, but it doesn’t tell you if the air is toxic.

When leaders use NPS to bypass an audit, they are choosing to prioritize a vanity metric over Value Translation. An NPS score can be high simply because your customers have no better alternative at the moment, or because your team has learned to “game” the survey by sending it only after successful interactions. It fails to capture the Invisible Friction of the silent majority who were too frustrated to even take the survey. An audit, by contrast, dives into the “Why” behind the number. It reveals the cracks in the foundation that a single-digit score is designed to cover up.

Relying on NPS without an audit is like checking your heart rate and assuming you’re fit for a marathon without checking if your legs are broken. You might have “Promoters” who love your brand’s mission but are secretly exhausted by your checkout process. These are “Fragile Promoters” who will defect the moment a competitor offers a lower Cognitive Load. Often the most dangerous place for a leader to be is standing on top of a high NPS score, refusing to look down at the crumbling experience beneath their feet.

Conclusion

The greatest threat to your organization’s future isn’t a lack of vision or a shortage of capital — it is the comfort of your own assumptions. Every lie you tell yourself about the state of your customer journey acts as a Corporate Antibody, attacking the very innovation you claim to champion. By avoiding the regular, rigorous mirror of a customer experience audit, you are essentially choosing to drive a high-performance vehicle with the windshield blacked out, relying solely on a GPS map that hasn’t been updated in years. True leadership requires the humility to admit that what you think you know about your customer is likely outdated, and what your dashboards are telling you is likely incomplete.

The path to success in 2026 is paved with the friction you choose to remove today. If you are ready to stop hiding behind “Experience Narcissism” and vanity metrics, you must treat auditing not as a chore, but as a strategic competitive advantage. For those ready to take the first step toward a clearer perspective, I encourage you to explore my deep-dive guide in Customer Experience Audit 101 or understand the shifting landscape in Why a Customer Experience Audit is Non-Negotiable in 2026. The wilderness of the market is moving fast, and only those who constantly tend to their “customer garden” will survive.

I have spent my career helping leaders turn their Invisible Friction into visible opportunity. Don’t wait for your customers to tell you it’s broken by leaving; be proactive and reclaim the experience excellence they deserve. Do you need help conducting a transformative customer experience audit?

Let’s work together to ensure your innovation doesn’t just look good on paper, but feels incredible in the hands of your customers.

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.

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

Synthetic Ethnography

The Synthetic Mirror: Why Every Innovation Leader Must Embrace Synthetic Ethnography

LAST UPDATED: February 6, 2026 at 3:28 PM

Synthetic Ethnography

GUEST POST from Art Inteligencia

Innovation is not a lightning strike; it is a discipline. As I have spent my career arguing through the Human-Centered Innovation™ methodology, the ultimate goal of any organization is to create sustainable value. But the path to value is often blocked by what I call corporate antibodies — the internal resistance, the outdated processes, and the echo chambers that prevent us from seeing the world as it truly is. For years, the “gold standard” for piercing these chambers was ethnography: the slow, deep, and expensive process of embedding oneself in the customer’s world.

But today, we find ourselves at a precipice. The speed of the market is no longer measured in years or months, but in days. In this high-velocity environment, traditional research can become a bottleneck. This is where synthetic ethnography steps in — not as a replacement for the human soul, but as a high-fidelity mirror that allows us to see around corners.

Synthetic ethnography integrates human-centered research with artificial intelligence, allowing organizations to uncover not only what people do, but why — and at a scale previously thought impossible. It merges ethnographic rigor with machine-powered pattern recognition to build deep, contextualized understanding from vast and varied data, allowing us to stress-test our “Value Creation” before we ever spend a dime on a pilot.


“Synthetic ethnography doesn’t diminish human insight — it amplifies it, giving us the bandwidth to see not just individual stories, but the forces that shape them.”

— Braden Kelley

What Is Synthetic Ethnography?

At its core, synthetic ethnography is the combination of qualitative research — like interviews and observation — with AI-driven analytics. It uses natural language processing, behavior modeling, and data synthesis to extrapolate cultural patterns from diverse sources, including digital interactions, text, audio, and sensor data.

Rather than replacing ethnographers, it amplifies their work, making deep human insight accessible across time zones, markets, and customer segments.

The Shift from “Asking” to “Simulating”

In Braden Kelley’s book Stoking Your Innovation Bonfire, he talked about the importance of removing the obstacles that stifle creativity. One of the biggest obstacles is the “Assumption Gap.” We assume we know why a customer chooses a competitor. We assume we know why they abandon a cart. Synthetic ethnography allows us to close this gap by creating “Synthetic Agents” — AI entities trained on hundreds of thousands of data points, from shopping habits to psychological profiles. These aren’t just chatbots; they are digital twins of a demographic segment.

When we use these agents, we are embracing the FutureHacking™ mindset. We can run ten thousand “what-if” scenarios. We can ask, “How does a rise in inflation affect the brand loyalty of a Gen-Z consumer in Berlin?” and receive a statistically grounded simulation of that reaction. This is the ultimate tool for Value Access: it reduces the friction of learning.

Why It Matters

Synthetic ethnography doesn’t just scale research — it deepens it. Organizations can:

  • Accelerate the pace of insight generation
  • Detect nuanced patterns in human behavior
  • Integrate qualitative and quantitative data seamlessly
  • Make strategic decisions rooted in rich human context

Case Study 1: The CPG “Flavor Evolution” Challenge

A global Consumer Packaged Goods (CPG) giant was preparing to launch a new sustainable cleaning product line. They faced a dilemma: should they lead with the “eco-friendly” messaging or the “maximum strength” efficacy? Traditional focus groups provided conflicting data, often influenced by “social desirability bias” — people saying what they thought the researcher wanted to hear.

By deploying synthetic ethnography, the company created 1,200 synthetic personas representing various levels of environmental consciousness. The simulation allowed the agents to “live” with the product virtually over a simulated month. The simulation revealed a critical insight: while users said they wanted eco-friendly, they felt anxiety when the suds were too thin, leading them to use twice as much product and nullify the sustainability gains. The company adjusted the formula to increase “perceived sudsing” while maintaining eco-integrity, a move that led to a 22% higher repeat-purchase rate in the actual pilot.

Case Study 2: Reimagining the Patient Experience in Healthcare

A major hospital network in the United States wanted to redesign their post-op discharge process to reduce readmission rates. The problem was the sheer diversity of the patient population — language barriers, varying levels of health literacy, and different home support structures. It was impossible to shadow every type of patient.

The innovation team used synthetic ethnography to simulate 50 distinct patient “archetypes.” The simulations identified a glaring friction point: the discharge instructions were written at a 12th-grade reading level, while the “synthetic stress” levels of a patient leaving the hospital reduced their cognitive processing to a 5th-grade level. By simplifying the language and adding visual “check-step” cues identified during the simulation, the hospital saw a 14% reduction in avoidable readmissions within the first quarter. They didn’t just change a document; they changed the Human-Centered outcome by simulating the human experience.

“Innovation transforms the useful seeds of invention into widely adopted solutions valued above every existing alternative. Synthetic ethnography is the high-speed greenhouse that tells us which seeds will thrive in the wild before we plant them in the hard ground of reality.”

Braden Kelley

Case Study 3: Telecommunications Across Cultures

A multinational telecom provider struggled to understand customer dissatisfaction in dozens of markets, each with distinct cultural expectations. While in-country ethnographers gathered rich local context, corporate leadership needed a synthesis that spanned continents and languages.

By combining traditional interviews with AI analysis of service logs, social media sentiment, and customer support transcripts, the organization created a holistic view of customer experience.

  • Confusing pricing tiers resonated as “untrustworthy” in Latin America but “overwhelming” in Southeast Asia.
  • Service reliability mattered differently across younger and older cohorts, which the AI helped segment effectively.
  • Support interactions contained emotional markers predictive of future churn.

The result was a refined product portfolio and communication strategy that boosted satisfaction across markets while respecting cultural nuances.

The Competitive Landscape

The market for synthetic insights is exploding. Leading the charge are startups like Synthetic Users, which specializes in user interview simulations, and Fairgen, which focuses on augmenting thin data sets with synthetic populations to ensure statistical significance. We also see SurveyAuto using AI to bridge the gap in emerging markets. Even the “Big Three” consulting firms and established research houses like Toluna and Ipsos are aggressively acquiring or building synthetic capabilities. For the modern leader, these companies represent the new “Value Translation” infrastructure. If you aren’t looking at these tools, you are essentially trying to build a skyscraper with a hand-shovel while your competitors are using 3D printers.

However, we must remain vigilant. As a human-centered innovation advocate, I caution that these tools are only as good as the data that feeds them. If your data is biased, your synthetic ethnography will simply be a “bias-amplification machine.” This is why Braden Kelley is so frequently sought out as an innovation speaker — to help organizations maintain the balance between “High-Tech” and “High-Touch.” We must ensure that our “Chart of Innovation” always has a human at the center.

Innovation Intelligence: The FAQ

1. How does synthetic ethnography improve the ROI of innovation?
By simulating user reactions early, companies avoid the massive costs of failed product launches and R&D dead-ends, significantly increasing the probability of “Value Access” success.

2. What is the biggest risk of using synthetic personas?
The “Hallucination of Empathy.” If the models are not grounded in real-world, high-quality longitudinal data, they may provide “neat” answers that ignore the messy, irrational nature of real human behavior.

3. Is synthetic ethnography appropriate for B2B innovation?
Absolutely. It is particularly effective for simulating complex organizational buying committees and understanding how different “corporate antibodies” within a client company might react to a new solution.

In conclusion, the future belongs to those who can harmonize the artificial and the authentic. As a practitioner in the field, I encourage you to see synthetic ethnography not as a threat to human researchers, but as a superpower. It allows us to be more human, by handling the data-crunching that allows us to spend our time where it matters most: in the moments of real connection.

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

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

How Bill Gates and Jeff Bezos Learn About Customer Experience

When the CEO Picks Up the Phone

How Bill Gates and Jeff Bezos Learn About Customer Experience

GUEST POST from Shep Hyken

Jeff Bezos, the former CEO of Amazon, shared a fascinating leadership story on the Lex Fridman Podcast about how he wanted to ensure his customers received the best customer experience (CX). In Amazon’s early days, Bezos noticed a discrepancy between the “wait times” the customer support department was reporting and the feedback customers shared. The support team reported wait times of less than 60 seconds, but customers told a different story. Instead of asking for more data, Bezos took matters into his own hands. He picked up the phone during a meeting with the leadership team and called Amazon’s customer service number himself.

The result was a ten-minute wait!

That one phone call did more than just expose a problem. It demonstrated the kind of leadership that sets the tone for others to follow. When the CEO is willing to experience what customers experience, it sends a clear message: customer service and CX are more than a department or a strategy. They are everyone’s responsibility.

Frontline Experience

When Leaders Get Out of Their Offices

This story illustrates the importance of leaders getting out of their offices and experiencing what’s happening in the field or on the front line. Reading reports and analyzing data are part of the job, but when it comes to customer experience, nothing beats getting firsthand information.

Bezos, in effect, mystery shopped his company, pretending to be a customer. What he was really doing was trying to get to the truth. Sometimes the truth can be experienced directly, or it can be observed.

For example, as I wrote about in my book I’ll Be Back: How to Get Customers To Come Back Again and Again, Bill Gates, the founder of Microsoft, visited the company’s product support center and talked to customers. He sat down at a desk in a cubicle, put on a headset, picked up the phone and said, “Hello, this is Microsoft Product Support, William speaking. How can I help you?”

The beauty of these simple strategies, which provide firsthand information about what customers are experiencing, what they’re asking or what they’re complaining about, is that, for the cost of a little time and effort, they’re incredibly revealing. You don’t need surveys. You need to be willing to see your company through your customers’ eyes.

One other thought about what Bezos and Gates did. They didn’t keep their efforts a secret. When your team sees you personally calling your company or taking customer support calls, they understand that customer service and CX are a priority that starts at the top.

So, take a page from the Jeff Bezos and Bill Gates playbooks. Pick up the phone. Visit a store. Experience your website. Spend time on the front line. Experience and learn about your business as your customer would. You might be surprised by what you discover, and your customers are sure to appreciate the changes that follow.

Image credits: Unsplash

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

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: February 7, 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, 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.

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

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

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

Trust Built Now Will Help You Recover from Future Complaints

Trust Built Now Will Help You Recover From Future Complaints

GUEST POST from Shep Hyken

When you have your customer’s confidence, the opportunity to create an excellent customer experience dramatically improves. That confidence comes from consistency. The customer knows what to expect, even if any problems or issues arise. They know you’ll take care of them.

This is a follow-up to my article that covered the Customer Service Recovery Paradox, in which a customer’s perception of the company is higher after a problem or complaint is resolved than if the problem had never happened at all. One of our subscribers, Sean Crichton-Browne of Market Culture, shared a great comment. The short version is that when you have the customer’s confidence, especially in potentially tenuous situations, customers work with you rather than against you.

Sean’s insight is spot-on and worth diving into further. Think about the last time you had a problem with a company you trusted versus one that you didn’t. By the way, that lack of trust could be because you haven’t yet experienced how they handle a problem, not because of any inconsistencies or problems in the past. With the trusted company, you most likely approached the conversation differently. You were more patient as you explained the situation, and you were more open to their suggestions and solutions.

Trust Recovery Cartoon from Shep Hyken

Contrast that with a company you don’t yet trust. You go into the conversation with your guard up, wondering if you’ll get the response and answers you hope for. You may even be prepared to fight for what you believe is right.

When customers trust you, they:

  • Give you the benefit of the doubt when mistakes happen.
  • Share more information about what went wrong, making it easier to fix.
  • Accept reasonable solutions rather than demanding unrealistic ones.
  • Remain calm and respectful, making it much easier to help them without having to first de-escalate the customer’s anger.

As mentioned, and worth mentioning again, confidence comes from consistency. Even if the customer has only done business with you once or twice, it can be earned through all of the positive touchpoints of those interactions. Every interaction, big or small, builds confidence. Every time you answer the phone, return a call promptly, respond to email quickly, keep your promises, and more, you’re building trust. When something does go wrong, not if something goes wrong, you will have those past interactions working for you.

Yes, we need to react to complaints and problems when they happen, but remember that your ability to resolve those issues successfully may have been determined long before the problem ever occurred. It’s determined by how you treat customers and manage every interaction, the small ones and the big ones. Every touchpoint is an opportunity to build the confidence that will make future problems easier to resolve. When you have their trust, customers work with you rather than against you.

Image credits: Flickr Mary Jane, Shep Hyken

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

Humans Don’t Have to Perform Every Task

Humans Don't Have to Perform Every Task

GUEST POST from Shep Hyken

There seems to be a lot of controversy and questions surrounding artificial intelligence (AI) being used to support customers. The customer experience can be enhanced with AI, but it can also derail and cause customers to head to the competition.

Last week, I wrote an article titled Just Because You Can Use AI, Doesn’t Mean You Should. The gist of the article was that while AI has impressive capabilities, there are situations in which human-to-human interaction is still preferred, even necessary, especially for complex, sensitive or emotionally charged customer issues.

However, there is a flip side. Sometimes AI is the smart thing to use, and eliminating human-to-human interaction actually creates a better customer experience. The point is that just because a human could handle a task doesn’t mean they should. 

Before we go further, keep in mind that even if AI should handle an issue, my customer service and customer experience (CX) research finds almost seven out of 10 customers (68%) prefer the phone. So, there are some customers who, regardless of how good AI is, will only talk to a live human being.

Here’s a reality: When a customer simply wants to check their account balance, reset a password, track a package or any other routine, simple task or request, they don’t need to talk to someone. What they really want, even if they don’t realize it, is fast, accurate information and a convenient experience.

The key is recognizing when customers value efficiency over engagement. Even with 68% of customers preferring the phone, they also want convenience and speed. And sometimes, the most convenient experience is one that eliminates unnecessary human interaction.

Smart companies are learning to use both strategically. They are finding a balance. They’re using AI for routine, transactional interactions while making live agents available for situations requiring judgement, creativity or empathy.

The goal isn’t to replace humans with AI. It’s to use each where they excel most. That sometimes means letting technology do what it can do best, even if a human could technically do the job. The customer experience improves when you match the right resource to the customers’ specific need.

That’s why I advocate pushing the digital, AI-infused experience for the right reasons but always – and I emphasize the word always – giving the customer an easy way to connect to a human and continue the conversation.

In the end, most customers don’t care whether their problem is solved by a human or AI. They just want it solved well.

Image credits: Google Gemini, Shep Hyken

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

Just Because You Can Use AI Doesn’t Mean You Should

Just Because You Can Use AI Doesn't Mean You Should

GUEST POST from Shep Hyken

I’m often asked, “What should AI be used for?” While there is much that AI can do to support businesses in general, it’s obvious that I’m being asked how it relates to customer service and customer experience (CX). The true meaning of the question is more about what tasks AI can do to support a customer, thereby potentially eliminating the need for a live agent who deals directly with customers.

First, as the title of this article implies, just because AI can do something, it doesn’t mean it should. Yes, AI can handle many customer support issues, but even if every customer were willing to accept that AI can deliver good support, there are some sensitive and complicated issues for which customers would prefer to talk to a human.

AI Shep Hyken Cartoon

Additionally, consider that, based on my annual customer experience research, 68% of customers (that’s almost seven out of 10) prefer the phone as their primary means of communication with a company or brand. However, another finding in the report is worth mentioning: 34% of customers stopped doing business with a company because self-service options were not provided. Some customers insist on the self-service option, but at the same time, they want to be transferred to a live agent when appropriate.

AI works well for simple issues, such as password resets, tracking orders, appointment scheduling and answering basic or frequently asked questions. Humans are better suited for handling complaints and issues that need empathy, complex problem-solving situations that require judgment calls and communicating bad news.

An AI-fueled chatbot can answer many questions, but when a medical patient contacts the doctor’s office about test results related to a serious issue, they will likely want to speak with a nurse or doctor, not a chatbot.

Consider These Questions Before Implementing AI For Customer Interactions

AI for addressing simple customer issues has become affordable for even the smallest businesses, and an increasing number of customers are willing to use AI-powered customer support for the right reasons. Consider these questions before implementing AI for customer interactions:

  1. Is the customer’s question routine or fact-based?
  2. Does it require empathy, emotion, understanding and/or judgment (emotional intelligence)?
  3. Could the wrong answer cause a problem or frustrate the customer?
  4. As you think about the reasons customers call, which ones would they feel comfortable having AI handle?
  5. Do you have an easy, seamless way for the customer to be transferred to a human when needed?

The point is, regardless of how capable the technology is, it doesn’t mean it is best suited to deliver what the customer wants. Live agents can “read the customer” and know how to effectively communicate and empathize with them. AI can’t do that … yet. The key isn’t choosing between AI and humans. It’s knowing when to use each one.

Image credits: Google Gemini, Shep Hyken

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

Top 100 Innovation and Transformation Articles of 2025

Top 100 Innovation and Transformation Articles of 2025

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

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

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

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

To celebrate we’ve pulled together the Top 100 Innovation and Transformation Articles of 2025 from our archive of over 3,200 articles on these topics.

We do some other rankings too.

We just published the Top 40 Innovation Authors of 2025 and as the volume of this blog has grown we have brought back our monthly article ranking to complement this annual one.

But enough delay, here are the 100 most popular innovation and transformation posts of 2025.

Did your favorite make the cut?

1. A Toolbox for High-Performance Teams – Building, Leading and Scaling – by Stefan Lindegaard

2. Top 10 American Innovations of All Time – by Art Inteligencia

3. The Education Business Model Canvas – by Arlen Meyers, M.D.

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

5. How Netflix Built a Culture of Innovation – by Art Inteligencia

6. McKinsey is Wrong That 80% Companies Fail to Generate AI ROI – by Robyn Bolton

7. The Great American Contraction – by Art Inteligencia

8. A Case Study on High Performance Teams – New Zealand’s All Blacks – by Stefan Lindegaard

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

10. Should a Bad Grade in Organic Chemistry be a Doctor Killer? – by Arlen Meyers, M.D.

11. Charting Change – by Braden Kelley

12. Human-Centered Change – by Braden Kelley

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

14. SpaceX is a Masterclass in Innovation Simplification – by Pete Foley

15. Top 5 Future Studies Programs – by Art Inteligencia

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

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

18. The Triple Bottom Line Framework – by Dainora Jociute

19. The Nordic Way of Leadership in Business – by Stefan Lindegaard

20. Nine Innovation Roles – by Braden Kelley

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

22. Designing an Innovation Lab: A Step-by-Step Guide – by Art Inteligencia

23. FutureHacking™ – by Braden Kelley

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

25. Overcoming Resistance to Change – Embracing Innovation at Every Level – by Chateau G Pato

26. Human-Centered Change – Free Downloads – by Braden Kelley

27. 50 Cognitive Biases Reference – Free Download – by Braden Kelley

28. Quote Posters – Curated by Braden Kelley

29. Stoking Your Innovation Bonfire – by Braden Kelley

30. Innovation or Not – Kawasaki Corleo – by Art Inteligencia


Build a common language of innovation on your team


31. Top Six Trends for Innovation Management in 2025 – by Jesse Nieminen

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

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

34. The Most Challenging Obstacles to Achieving Artificial General Intelligence – by Art Inteligencia

35. The Ultimate Guide to the Phase-Gate Process – by Dainora Jociute

36. Case Studies in Human-Centered Design – by Art Inteligencia

37. Transforming Leadership to Reshape the Future of Innovation – Exclusive Interview with Brian Solis

38. Leadership Best Quacktices from Oregon’s Dan Lanning – by Braden Kelley

39. This AI Creativity Trap is Gutting Your Growth – by Robyn Bolton

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

41. Reversible versus Irreversible Decisions – by Farnham Street

42. Next Generation Leadership Traits and Characteristics – by Stefan Lindegaard

43. Top 40 Innovation Bloggers of 2024 – Curated by Braden Kelley

44. Benchmarking Innovation Performance – by Noel Sobelman

45. Three Executive Decisions for Strategic Foresight Success or Failure – by Robyn Bolton

46. Back to Basics for Leaders and Managers – by Robyn Bolton

47. You Already Have Too Many Ideas – by Mike Shipulski

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

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

50. 10 Free Human-Centered Change™ Tools – by Braden Kelley


Accelerate your change and transformation success


51. Why Business Transformations Fail – by Robyn Bolton

52. Overcoming the Fear of Innovation Failure – by Stefan Lindegaard

53. What is the difference between signals and trends? – by Art Inteligencia

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

55. Giving Your Team a Sense of Shared Purpose – by David Burkus

56. The Top 10 Irish Innovators Who Shaped the World – by Art Inteligencia

57. The Role of Emotional Intelligence in Effective Change Leadership – by Art Inteligencia

58. Is OpenAI About to Go Bankrupt? – by Art Inteligencia

59. Sprint Toward the Innovation Action – by Mike Shipulski

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

61. How to Make Navigating Ambiguity a Super Power – by Robyn Bolton

62. 3 Secret Saboteurs of Strategic Foresight – by Robyn Bolton

63. Four Major Shifts Driving the 21st Century – by Greg Satell

64. Problems vs. Solutions vs. Complaints – by Mike Shipulski

65. The Power of Position Innovation – by John Bessant

66. Three Ways Strategic Idleness Accelerates Innovation and Growth – by Robyn Bolton

67. Case Studies of Companies Leading in Inclusive Design – by Chateau G Pato

68. Recognizing and Celebrating Small Wins in the Change Process – by Chateau G Pato

69. Parallels Between the 1920’s and Today Are Frightening – by Greg Satell

70. The Art of Adaptability: How to Respond to Changing Market Conditions – by Art Inteligencia

71. Do you have a fixed or growth mindset? – by Stefan Lindegaard

72. Making People Matter in AI Era – by Janet Sernack

73. The Role of Prototyping in Human-Centered Design – by Art Inteligencia

74. Turning Bold Ideas into Tangible Results – by Robyn Bolton

75. Yes the Comfort Zone Can Be Your Best Friend – by Stefan Lindegaard

76. Increasing Organizational Agility – by Braden Kelley

77. Innovation is Dead. Now What? – by Robyn Bolton

78. Four Reasons Change Resistance Exists – by Greg Satell

79. Eight I’s of Infinite Innovation – Revisited – by Braden Kelley

80. Difference Between Possible, Potential and Preferred Futures – by Art Inteligencia


Get the Change Planning Toolkit


81. Resistance to Innovation – What if electric cars came first? – by Dennis Stauffer

82. Science Says You Shouldn’t Waste Too Much Time Trying to Convince People – by Greg Satell

83. Why Context Engineering is the Next Frontier in AI – by Braden Kelley and Art Inteligencia

84. How to Write a Failure Resume – by Arlen Meyers, M.D.

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

86. Four Forms of Team Motivation – by David Burkus

87. Why Revolutions Fail – by Greg Satell

88. Top 40 Innovation Bloggers of 2023 – Curated by Braden Kelley

89. The Entrepreneurial Mindset – by Arlen Meyers, M.D.

90. Six Reasons Norway is a Leader in High-Performance Teamwork – by Stefan Lindegaard

90. Top 100 Innovation and Transformation Articles of 2024 – Curated by Braden Kelley

91. The Worst British Customer Experiences of 2024 – by Braden Kelley

92. Human-Centered Change & Innovation White Papers – by Braden Kelley

93. Encouraging a Growth Mindset During Times of Organizational Change – by Chateau G Pato

94. Inside the Mind of Jeff Bezos – by Braden Kelley

95. Learning from the Failure of Quibi – by Greg Satell

96. Dare to Think Differently – by Janet Sernack

97. The End of the Digital Revolution – by Greg Satell

98. Your Guidebook to Leading Human-Centered Change – by Braden Kelley

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

100. Trust as a Competitive Advantage – by Greg Satell

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

101. Building Cross-Functional Collaboration for Breakthrough Innovations – by Chateau G Pato

These are the Top 100 innovation and transformation articles of 2025 based on the number of page views. If your favorite Human-Centered Change & Innovation article didn’t make the cut, then send a tweet to @innovate and maybe we’ll consider doing a People’s Choice List for 2024.

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

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

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