Category Archives: Customer Experience

Five Ways to React to Online Customer Feedback

Five Ways to React to Online Customer Feedback

GUEST POST from Shep Hyken

It’s one thing to listen to what your customers are saying when they reach out to you directly through calls, emails, texts, or direct messages. But many customers prefer to “go social” and comment on social media, review sites, and online forums.

So the question is, “Are you listening?”

By “listening,” I mean social listening, paying attention to what customers are saying about you everywhere except directly to you.

In the past month, I’ve been asked twice about social listening, responding to surveys, and monitoring online comments and reviews. However, let me emphasize that comments and reviews are not limited to the typical review sites, such as Google, Yelp, TripAdvisor, and others. Your customers will also share comments on Facebook, Instagram, and other social media sites.

So, even though we call it social listening, a better name might be social reacting. If you take the time to “listen,” which means reading or watching what customers are saying about you, it is in your best interest to react with an appropriate response.

Negative Reviews Shep Hyken Cartoon

While I believe you should respond to all comments and reviews, it’s especially important to respond to the negative. By the way, negative reviews aren’t so bad. In one of my articles about embracing negative reviews, I mentioned that a perfect five-star rating causes some customers to think, “This is too good to be true.” Perfection is not reality, and customers know this.

With that in mind, here are five social reaction strategies and tactics:

  1. React to Positive Comments: A short thank you is appropriate. If you can personalize it, even better.
  2. React to Negative Comments: As mentioned, it’s especially important to respond to negative reviews and comments, and I’ll add, in a timely fashion. The sooner the better. This adds a sense of urgency and creates credibility. If possible, take the complaint “offline” and deal directly with the customer. Then return to the site where the comment or review was first shared and let the world know you resolved the issue.
  3. React to Unreasonable Comments: Not every comment will be reasonable. Some people will be unreasonable. A simple and professional response is appropriate. Offer a way for the customer to contact you directly. Don’t be defensive, or you’ll add fuel to the fire.
  4. It’s Okay to Use AI and Templates When Reacting: Depending on how many comments you get, AI and templates can save you time. But, make sure to customize them to the situation. Don’t just copy and paste comments. Customers will notice.
  5. Treat Customer Comments as Learning Opportunities: This idea goes beyond social channels and review sites. Any comment that comes your way, positive or negative, is a learning opportunity. If you get negative feedback, find ways to prevent it from happening again. If the feedback is positive, find ways to make sure it always happens.

Companies spend a lot of money to get customers to notice them through marketing and advertising. Don’t waste that investment by not considering social reacting as part of your marketing and customer experience (CX) plan.

Image credits: Pixabay

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Digital Phenotyping and the Future of Preventative Experience Design

The Silent Pulse

LAST UPDATED: February 16, 2026 at 6:01 PM

Digital Phenotyping and the Future of Preventative Experience Design

GUEST POST from Art Inteligencia


I. Introduction: Beyond the Survey

The Death of “Self-Reporting”

For decades, the gold standard for understanding employee well-being or customer satisfaction has been the survey. We ask people how they feel, and they give us an answer filtered through their own biases, current mood, or what they think we want to hear. In the world of innovation, self-reporting is a lagging indicator — and a flawed one at that.

Defining Digital Phenotyping

We are entering the era of Digital Phenotyping: the moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices. By analyzing the “digital exhaust” from smartphones and wearables — mobility patterns, social interactions, and even typing rhythm — we can infer behavioral, emotional, and cognitive states with unprecedented accuracy.

The Paradigm Shift: From Reactive to Preventative

The true power of this technology lies in its ability to turn experience design from a reactive fix into a preventative strategy. We no longer have to wait for a “burnout crisis” or a drop in productivity to realize our team is under excessive stress. The signals are there, in real-time, hidden in the cadence of our digital lives.

“Innovation is about solving the problems that people haven’t yet found the words to describe. Digital Phenotyping gives us the ears to hear those unspoken needs.”
— Braden Kelley

As we move beyond the survey, we must lead with a human-centered lens. The goal isn’t to monitor; it’s to support. We are shifting from a world that reacts to failure to a world that senses — and sustains — human flourishing.

II. The Mechanics of Passive Sensing

Digital phenotyping relies on passive data — information collected in the background without requiring any active input from the user. This removes the “friction” of participation and provides a continuous stream of objective reality.

The Three Primary Data Streams

1. Mobility and Physical Activity

Using GPS and accelerometers, we can map “life space.” A sudden constriction in a person’s physical movement — fewer locations visited or reduced steps — can be a powerful proxy for depressive states or social withdrawal. Conversely, erratic movement patterns might signal high levels of anxiety or agitation.

2. Social and Communication Meta-data

This isn’t about what is being said, but how the person is interacting. Call frequency, text latency, and social media engagement patterns reveal shifts in social connectivity. A drop in outbound communication often precedes a burnout phase before the employee even feels “tired.”

3. Human-Computer Interaction (HCI)

The way we interact with our screens is a window into our cognitive health. Typing speed, the frequency of “backspacing,” and scrolling patterns can indicate cognitive overload or a lapse in focus. These “digital biomarkers” are the most immediate indicators of whether a task is designed for human success or human failure.

The Synthesis: From Signals to Insights

The magic happens in the AI synthesis layer. By correlating these streams, machine learning models can identify a “baseline” for an individual. When the data deviates from that baseline, the system identifies a “glitch” — a moment where the human-centered design of the environment is no longer supporting the human within it.

“Data is just a signal; insight is the story. In digital phenotyping, we are learning to read the stories written in the rhythm of our daily digital interactions.”
— Braden Kelley

III. Value Creation: Turning Insight into Action

The true ROI of digital phenotyping isn’t found in the data itself, but in the Experience Design it enables. By moving from reactive to preventative models, we can create environments that adapt to the human state in real-time.

Preventative Experience Design in Practice

Real-Time Burnout Mitigation

Imagine a project management tool that senses cognitive overload through typing patterns and erratic screen switching. Instead of pushing another notification, the system “softens” — delaying non-essential alerts and suggesting a recovery break. This is human-centered design in action: protecting the asset (the person) before the damage occurs.

Adaptive User Interfaces (AUI)

In high-stakes environments like healthcare or emergency response, digital phenotyping allows interfaces to simplify themselves when stress markers are detected. By reducing the “information density” during moments of high stress, we prevent human error and improve outcomes.

The Strategic Advantage of “Wellness as a Service”

Organizations that implement these tools as a benefit rather than a monitor will see a massive shift in retention and engagement. When an employee knows the “system” is looking out for their mental health — flagging potential depression signals or isolation patterns early — the relationship between employer and employee evolves from transactional to collaborative.

“Value in the future of work won’t be measured by output alone, but by the sustainability of the human spirit behind that output.”
— Braden Kelley

By leveraging these insights, we aren’t just innovating products; we are innovating the way we treat people.

IV. The Innovation Ethical Frontier

Digital phenotyping sits at the intersection of extreme utility and extreme vulnerability. As innovators, we must acknowledge that data is a surrogate for intimacy. When we measure a person’s gait or typing rhythm, we are entering their private mental space. Without a robust ethical framework, we risk building a “Digital Panopticon” rather than a supportive ecosystem.

The Three Pillars of Ethical Phenotyping

1. Radical Transparency & Consent

Standard “Terms and Conditions” are insufficient. Consent must be active and ongoing. Users should know exactly what biomarkers are being tracked and have the “Right to Disconnect” without penalty. Transparency isn’t just a legal hurdle; it’s a trust-building feature.

2. Purpose-Driven Data Minimization

The temptation to “collect it all” is the enemy of ethics. We must practice data minimalism: collecting only the specific signals required to provide the promised human-centered value. If a signal doesn’t directly contribute to a preventative intervention, it shouldn’t be gathered.

3. The “Benefit Flow” Guarantee

The value derived from the data must flow primarily back to the individual. If the organization is the only one benefiting (through higher productivity), it’s surveillance. If the individual benefits (through better mental health and reduced stress), it’s empowerment.

Leading with Empathy-Led Ethics

We must move beyond “compliance-based” privacy. In a human-centered organization, we ask: “Would our employees feel cared for or watched if they knew how this worked?” If the answer is “watched,” the innovation is flawed at the architectural level.

“Trust is the only currency that matters in the future of innovation. Once you spend it on surveillance, you can never buy it back.”
— Braden Kelley

By establishing these guardrails early, we ensure that digital phenotyping remains a tool for human flourishing rather than a weapon for corporate control.

V. Leading the Human-Centered Change

Implementing digital phenotyping is not a technical deployment; it is a cultural transformation. If leaders treat this like a software update, they will face immediate resistance. To succeed, we must lead with transparency and a clear focus on the “human” in human-centered innovation.

The Role of the “Architect” in Rollout

Leaders must act as the architects of trust. This means the Chief Innovation Officer and the CHRO must work in lockstep to ensure that the purpose of the data is clearly defined and that those definitions are unshakeable.

Strategies for Successful Integration:

  • The “Opt-In” Mandate: Never make passive sensing mandatory. The power of these tools comes from voluntary participation. When people choose to participate, they become stakeholders in their own well-being.
  • Stakeholder Education: We must educate every level of the organization — especially our “Sensors” (the employees) — on what digital biomarkers are and how they are used to trigger supportive interventions.
  • Feedback Loops: Create a mechanism where employees can provide feedback on the interventions. If a system suggests a “burnout break,” was it helpful or annoying? The human must remain the final authority.

Transparency as a Competitive Feature

In the future, the most successful organizations will be those that are radically transparent about their data practices. By being open about the algorithms and the “why” behind the sensing, we remove the mystery and the fear. Transparency turns a “black box” into a “glass box.”

“Change happens at the speed of trust. If you want to innovate at the edge of human behavior, you must first build a foundation of absolute integrity.”
— Braden Kelley

By focusing on the human-centered change, we ensure that digital phenotyping isn’t something done to people, but something done for them.

VI. Conclusion: Designing a More Intuitive World

The transition from reactive to preventative design represents one of the most significant leaps in the history of Human-Centered Innovation. Digital phenotyping allows us to stop guessing and start knowing — not for the sake of control, but for the sake of care.

The Future is Empathetic

We are moving toward a world where our tools understand our limits as well as we do. Imagine a workplace that recognizes your stress before you have a headache, or a digital assistant that knows you’re cognitively overloaded and helps you prioritize. This is the Intuitive World we are designing.

A Leader’s Final Responsibility

As innovators and leaders, our responsibility is to ensure that as our machines become more “human-literate,” we do not become less human in our leadership. Digital phenotyping is a tool of immense power. Used correctly, it can eradicate burnout, foster deep engagement, and support mental health on a global scale.

“The most advanced technology is the one that makes us feel most human. Our job is to ensure digital phenotyping does exactly that.”
— Braden Kelley

The signals are all around us, pulsing through the devices in our pockets and on our wrists. The question is no longer whether we can hear them, but whether we have the innovation leadership and ethical courage to act on what they are telling us.

Deep Dive: Frequently Asked Questions

Does Digital Phenotyping mean my boss is reading my texts?

Absolutely not. Ethical digital phenotyping focuses on metadata and patterns, not content. It looks at the frequency of communication or the speed of your typing, not the words you say. As an innovation leader, I advocate for systems where the content remains private and encrypted.

Why is this better than a monthly wellness survey?

Surveys are “lagging indicators” — they tell us how you felt in the past. By the time a survey is analyzed, burnout has often already occurred. Digital phenotyping provides real-time signals, allowing for immediate, helpful interventions that can prevent a crisis before it starts.

Can I opt-out of this kind of data collection?

In any human-centered organization, the answer must be yes. Trust is the foundation of innovation. For digital phenotyping to work, it must be an opt-in benefit that employees use because they see the value in their own well-being and professional growth.

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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Top 10 Human-Centered Change & Innovation Articles of January 2026

Top 10 Human-Centered Change & Innovation Articles of January 2026Drum roll please…

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

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

  1. Top 40 Innovation Authors of 2025 — Curated by Braden Kelley
  2. Trust is a Gold Mine for Organizations, but it Takes a Bit of Courage — by Oscar Amundsen
  3. Outcome-Driven Innovation in the Age of Agentic AI — by Braden Kelley
  4. Building Your Dream Organization — by Braden Kelley
  5. Why Photonic Processors are the Nervous System of the Future — by Art Inteligencia
  6. Reimagining Personalization — by Geoffrey Moore
  7. We Must Hold AI Accountable — by Greg Satell
  8. The Keys to Changing Someone’s Mind — by Greg Satell
  9. Concentrated Wealth, Consolidated Markets, and the Collapse of Innovation — by Art Inteligencia
  10. It’s Impossible to Innovate When … — by Mike Shipulski

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

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

Build a Common Language of Innovation on your team

Have something to contribute?

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

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

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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

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Is Your Customer Experience a Lie?

LAST UPDATED: February 12, 2026 at 10:40 AM

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 (aka Customer Experience Risk and Revenue Leakage Diagnostic), 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.

Five Lies Leaders Tell Themselves About CX

Download the Five Lies Leaders Tell Themselves About CX Flipbook as a PDF by clicking the link or the image above.

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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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

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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

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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: 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 (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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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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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

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