Category Archives: Customer Experience

Why Going AI Only is Dumb

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I’m Sorry Dave, But I Can’t Do That

LAST UPDATED: November 3, 2025 at 4:50PM

Why Going AI Only is Dumb

by Braden Kelley

Last month I had the opportunity to attend Customer Contact Week (CCW) in Nashville, Tennessee and following up on my article The Voicebots Are Coming I’d like to dig into the idea that companies like Klarna explored of eliminating all humans from contact centers. After all, what could possibly go wrong?

When I first heard that Klarna was going to eliminate humans from their contact centers and go all in on artificial intelligence I thought to myself that they would likely live to regret it. Don’t get me wrong, artificial intelligence (AI) voicebots and chatbots can be incredibly useful, and that proves out in the real world according to conference speakers that almost half of Fanatics calls are automated on the phone without getting to an agent. A lot of people are experimenting with AI but AI is no longer experimental. What Klarna learned is that when you choose to use AI to reduce your number of human agents, then if the AI is down you don’t have the ability anymore to just call in off duty agents to serve your customers.

But, on the flip side we know that having AI customer service agents as part of your agent mix can have very positive impacts on the business. Small businesses like Brothers That Just Do Gutters have found that using AI agents increased their scheduling of estimate visits over humans alone. National Debt Relief automated their customer insufficient funds (CIF) calls and added an escalation path (AI then agent) that delivered a 20% revenue lift over their best agents. They found that when an agent gets a NO, there isn’t much of an escalation path left. And, the delicate reality is that some people feel self conscious calling a human to talk about debt problems, and there may be other sensitive issues where callers would actually feel more comfortable talking to a voicebot than a human. In addition, Fanatics is finding that AI agents are resolving some issues FASTER than human agents. Taken together these examples show that often a hybrid approach (humans plus AI) yields better results than humans only or AI only, so design your approach consciously.

Now let’s look at some important statistics from Customer Management Practice research:

  • 2/3 of people prefer calling in and talking by phone, but most of that is 55+ and the preference percentage declines every ten years younger you go until 30% for 18-24
  • 3/4 of executives say more people want self service now than three years ago
  • 3/4 of people want to spend less time getting support – so they can get back to the fun stuff, or back to business

Taken together these statistics help make the case for increasing the use of AI agents in the contact center. If you happen to be looking to use AI agents in servicing your customers (or even if you already are) then it is important to think about how you can use them to remove friction from the system and to strategically allocate your humans towards things that only humans can do. And if you need to win support from someone to go big with AI voicebots then pick an important use case instead of one that nobody cares about OR even better, pick something that you couldn’t have done before (example: a ride sharing company had AI voicebots make 5 million calls to have drivers validate their tax information).

Finally, as I was listening to some of these sessions it reminded me of a time when I was tasked with finding a new approach for staffing peak season for one of the Blue Cross/Blue Shield companies in the United States. At that time AI voicebots weren’t a thing and so I was looking at how we could partner with a vendor to have a small number of their staff on hand throughout the year and then rely on them to staff and train seasonal staff using those seasoned vendor staff instead of taking the best employees off the phone to train temps.

Even now, all contact centers will still need a certain level of human staffing. But, AI voicebots, AI simulation training for agents, and other new AI powered tools represent a great opportunity for creating a better solution for peak staffing in a whole host of industries with very cyclical contact demand that is hard to staff for. One example of this from Customer Contact Week was a story about how Fanatics must 5x their number of agents during high seasons and in practice this often results in their worst agents (temps they hired only for the season) serving some of their best customers (high $$ value clients).

Conclusion

AI voicebots can be a great help during demand peaks and other AI powered tools (QA, simulations, coaching, etc.) can help accelerate and optimize both your on-boarding of full-time agents, but also of seasonal agents as well. But don’t pare back your human agent pool too far!

What has been your experience with balancing human and AI agents?

Image credits: Google Gemini

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

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

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

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

  1. AI, Cognitive Obesity and Arrested Development — by Pete Foley
  2. Making Decisions in Uncertainty – This 25-Year-Old Tool Actually Works — by Robyn Bolton
  3. The Marketing Guide for Humanity’s Next Chapter – How AI Changes Your Customers — by Braden Kelley
  4. Don’t Make Customers Do These Seven Things They Hate — by Shep Hyken
  5. Why Best Practices Fail – Five Questions with Ellen DiResta — by Robyn Bolton
  6. The Need for Organizational Learning — by Mike Shipulski
  7. You Must Accept That People Are Irrational — by Greg Satell
  8. The AI Innovations We Really Need — by Art Inteligencia
  9. Three Reasons You Are Not Happy at Work – And What to Do to Become as Happy as You Could Be — by Stefan Lindegaard
  10. The Nuclear Fusion Accelerator – How AI is Commercializing Limitless Power — by Art Inteligencia

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

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

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Have something to contribute?

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

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

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Measuring Human vs. AI Satisfaction

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Insights from Customer Contact Week (Nashville)

LAST UPDATED: October 30, 2025 at 1:00PM

Measuring Human vs. AI Satisfaction

by Braden Kelley

One of the sessions I had the opportunity to attend at Customer Contact Week in Nashville featured Brian Cantor (Customer Management Practice), Gene Kropfelder (Ally Financial) and Scott Rhinehart (Alorica). Two overarching themes of the session were that bringing technology and human elements together continues to be a challenge and that with every interaction you are either building or destroying trust. Gene highlighted that his outlook is that people don’t need another bank they need a better bank, and this mindset is something that he tries to help permeate throughout the organization. Two ways they try to be that better bank in customer experience terms is by first, creating transparency around the wait times in different support channels and second, by trying to make every interaction feel different/better than the interactions they have with Ally’s competitors.

Artificial Intelligence (AI) was obviously a focus of the session and the fact that personalization requires knowing the interactions a customer has had and what they’ve been exposed to, but AI (or humans) have to leverage that knowledge in a helpful and not a creepy way.

When it comes to AI, it’s not what AI can do, but what does it do better and what activities should it take on. Implementing AI in any situation should start with a shared understanding of what problem you’re trying to solve, clearly defined outcomes (work backwards from these, utilizing well-defined checkpoints), a well-communicated WIFM (What’s in it for me?), and a crawl/walk/run approach. Don’t go too big too fast.

We have learned along the way that artificial intelligence can be very useful for helping support agents lean in with the information they (and customers) need. AI as a tool to summarize research query responses versus a list of search results (links). AI can help us understand where agents are spending the time and serve as a knowledge base auditor (article inconsistencies, gaps, etc.).

One important question that came up is “How can we help with handle time?”:

  • CSAT and NPS are important but handle time is important not just for the company (cost) but also for the customer – so they can get back to their life

A more challenging question that all contact center managers must ask is “How do you measure AI satisfaction versus human satisfaction?”:

  • The reason this is a challenging questions is because most of the easily solvable questions will go the AI and the cases that often don’t have a good resolution will be the ones that go to humans
  • At the same time we need to consider the impact of automating certain types of calls (often the easy ones). Will this make the human’s job more stressful (no easy calls)? Will they need more breaks as a result?
  • In the quest for efficiency be careful not to have your humans provide a robotic experience (reading scripts, no authority or decision making capability or flexibility)

Our humanity (both customer and employee) will always be important. Both have to learn to trust AI outputs, impacting the rate and amount of adoption, especially if you don’t have a plan for how to build that trust over time. And, it is important to have human retain accountability – AI generated, human reviewed before submission (i.e. call summaries). Finally, it is important to understand that while we may view the digital native generations as preferring a technological solution, the reality is that even the younger generations will still reach out for a human touchpoint on important questions/issues. So we humans are safe – for now.

HALLOWEEN BONUS: Save 30% on the eBook, hardcover or softcover of my latest book Charting Change (now in its second edition) — FREE SHIPPING WORLDWIDE — using code HAL30 until midnight October 31, 2025

Image credits: Customer Management Practice

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Doing the Basics Can Be Surprising

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Doing the Basics Can Be Surprising

GUEST POST from Shep Hyken

Just in case you didn’t know, I have a weekly customer service and Customer Experience (CX) podcast, Amazing Business Radio, that has been running for 12 years. Each week, I get the honor of interviewing some very smart people. Recently, I met Eric Stone, author of Jumpstart Your Workplace Culture. One of the topics we discussed was the WOW experience.

Before we go further, I have always had concerns about organizations that attempt to WOW their customers at every interaction. It’s just impossible to do. The concept of WOW is often associated with going above and beyond what’s expected, so much so that the customer is “blown away” by the experience. The problem is that’s not always possible. That’s why I took it out of my vocabulary and started using the word amazing to describe what I think WOW really is all about, which is a consistent and predictable experience that ALWAYS meets, and only occasionally exceeds, the customer’s expectations. It’s easy to say, “The people at that company are amazing.” It’s a little clunky and awkward to say, “The people at that company are WOW.”

That’s why I loved what Stone said: “Wow is a surprise.” In other words, it’s not about every experience. It’s about the occasional opportunity to surprise a customer. It could be something big, such as handling an emergency situation in which employees go above and beyond. As I said earlier, you can’t count on that type of opportunity for every transaction, but what you can do is find little ways to surprise your customers. For example, if you return a call quickly, the customer might say, “Wow, that was fast!” That’s not an over-the-top or above-and-beyond experience, but it’s a small surprise.

With that in mind, let’s use the return phone call as an example. When you know people are often surprised and make comments like, “Wow, that was fast,” simply because you called them back quickly, don’t just say, “Thank you,” and feel good about the experience. Instead, operationalize the experience. In other words, make quickly returned calls part of your official process. Set a standard, such as all calls are to be returned within two hours (or whatever the appropriate length of time you feel is right for you).

With that as an example, what other interactions do you have with customers that need to be formally operationalized? Here are a few ideas to get your creative juices flowing:

  • All phone calls are to be answered within three rings.
  • A promise to only transfer a customer once, knowing you’ll get the customer to the right person the first time.
  • Proactive updates to inform customers before they reach out to you asking for information.
  • Following up after a resolution to make sure a customer is still happy.
  • Acknowledging customer milestones, such as congratulating them on their 10th order with you, their birthday, etc.

None of these ideas are above-and-beyond types of WOW experiences, but they will cause a customer to notice. Use these examples to help you get creative about finding other simple or small WOWs you can operationalize and make part of the customer’s regular experience when they do business with you.

HALLOWEEN BONUS: Save 30% on the eBook, hardcover or softcover of Braden Kelley’s latest book Charting Change (now in its second edition) — FREE SHIPPING WORLDWIDE — using code HAL30 until midnight October 31, 2025

Image Credits: Pexels

This article was originally published on Forbes.com

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The Indispensable Role of CX

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Insights from CCW’s 25-Year Journey

LAST UPDATED: October 28, 2025 at 12:00PM
The Indispensable Role of CX

by Braden Kelley

I recently had the privilege of sitting down with Mario Matulich, President of Customer Management Practice, at Customer Contact Week (CCW) in Nashville. As an organization celebrating its 25th anniversary, CCW has been a critical barometer for the entire customer experience and contact center industry. Our conversation wasn’t just a look back, but a powerful exploration of the strategic mandate facing CX leaders today, particularly how we manage innovation and human-centered change in an era dominated by AI and tightening budgets.

CCW at 25: The Hub for Benchmarking and Breakthroughs

Mario underscored that CCW is far more than just a conference; it’s a living repository of industry knowledge. Professionals attend for actionable takeaways, which primarily fall into three categories: benchmarking performance against industry leaders, learning about new trends (like Generative AI’s impact), and, critically, sourcing the right vendors and capabilities needed to execute their strategies. It’s where leaders come to calibrate their investment strategies and learn how to do more with their finite resources.

Mario MatulichThis pursuit of excellence is driven by a single, powerful market force: The Amazon Effect. As Mario put it, customers no longer judge your experience solely against your industry peers. They expect every single touchpoint with your company to be as seamless, intuitive, and effective as the best experience they’ve had anywhere. This constantly escalating bar for Customer Effort Score (CES) and Customer Satisfaction (CSAT) makes a complacent CX investment a near-fatal strategic mistake. The customer experience must always be top-tier, or you simply lose the right to compete.

The Strategic Disconnect: CX vs. The Contact Center

One of the most valuable parts of our discussion centered on the subtle, yet crucial, distinction between a Customer Experience (CX) professional and a Contact Center (CC) professional. While both are dedicated to the customer journey, their scope and focus often differ:

  • The CX Professional: Often owns the entire end-to-end customer journey, from marketing to product use to support. Their responsibilities and definition of success are deeply influenced by where CX sits organizationally — is it under Marketing, Operations, or the CEO?
  • The CC Professional: Focused on the operational efficiency, quality, and effectiveness of the voice and digital support channels. Their reality is one of doing a lot with a little, constantly asked to manage complex interactions while being, ironically, often looked to as a prime source of cuts in a downturn.

Social media, for instance, is still a relevant customer service channel, not just a marketing one. However, the operational reality is that many companies, looking for cost-effective solutions, outsource social media support to Business Process Outsourcing (BPO) providers, highlighting the ongoing tension between strategic experience design and operational efficiency.

“Being a CX leader in your industry is not a temporary investment you can cut and reinstate later. Those who cut, discover quickly that regaining customer trust and market position is exponentially harder than maintaining it.” — Braden Kelley

AI in the Contact Center: From Hypothesis to Hyper-Efficiency

The conversation inevitably turned to the single biggest factor transforming the industry today: Artificial Intelligence. Mario and I agreed that while the promise of AI is vast, the quickest, most immediate win for nearly every organization lies in agent assist.

This is where Generative AI tools empower the human agent in real-time — providing instant knowledge base look-ups, auto-summarizing previous interactions, and drafting responses. It’s a human-centric approach that immediately boosts productivity and confidence, improving Agent Experience (AX) and reducing training time.

However, implementing AI successfully isn’t a “flip-the-switch” deployment. The greatest danger is the wholesale adoption of complex technology without rigor. True AI success, Mario noted, must be implemented via the classic innovation loop: hypothesis, prototyping, and testing. AI isn’t a solution; it’s a tool that must be carefully tuned and validated against human-centered metrics before scaling.

The Mandate for Enduring Investment

A recurring theme was the strategic folly of viewing CX as a cost center. In a downturn, the contact center is often the first place management looks for budgetary reductions. Yet, the evidence is overwhelming: CX leadership is not a temporary investment. When you are leading in your industry in customer experience, that position must be maintained. Cut your investment at your peril, and you risk a long, painful road to recovery when the market turns. The CX team, despite being resource-constrained, often represents the last line of defense for the brand, embodying the human-centered change we preach.

As CCW moves into its next 25 years, the lesson is clear: customer expectations are only rising. The best leaders will leverage AI not just to cut costs, but to augment their people and apply the innovation principles of rigorous testing to truly master the new era of customer orchestration. The commitment to a great customer experience is the single, enduring investment that will future-proof your business.

HALLOWEEN BONUS: Save 30% on the eBook, hardcover or softcover of my latest book Charting Change (now in its second edition) — FREE SHIPPING WORLDWIDE — using code HAL30 until midnight October 31, 2025

Image credits: Customer Management Practice

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.

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The Voicebots are Coming

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Your Next Customer Support Agent May Not Be a Human

LAST UPDATED: October 27, 2025 at 1:00PM
The Voicebots are Coming

by Braden Kelley

Last week I had the opportunity to attend Customer Contact Week (CCW) in Nashville, Tennessee and learn that the familiar, frustrating tyranny of the touch-tone IVR (Interactive Voice Response) system is finally ending. For too long, the gateway to customer service has felt like a maze designed to prevent contact, not facilitate it. But thanks to the rapid evolution of Conversational AI — fueled by Generative Large Language Models (LLMs) — the entire voice interaction landscape is undergoing a revolutionary, and necessary, change. As a thought leader focused on human-centered change, innovation and experience design, I can tell you the future of the call center isn’t purely automated; it’s intelligently orchestrated.

The voicebot — the modern AI-powered voice agent — is moving past its days as a simple chatbot with a synthesized voice. Today’s AI agents use Natural Language Processing (NLP) to understand intent, context, and even tone, allowing them to handle complex, multi-step issues with startling accuracy. More importantly, they are ushering in the era of the bionic contact center, where the human agent is augmented, not replaced. This hybrid model — where AI handles the heavy lifting and humans provide empathy, complex reasoning, and necessary approvals — is the key to achieving both massive scale and superior Customer Experience (CX).

Overcoming the Voice Friction: The Tech Foundation

The shift to true voice AI required overcoming significant friction points that plagued older systems:

  • Barge-In and Latency: Modern voicebots offer near-instantaneous response times and can handle barge-in (when a customer interrupts the bot) naturally, mimicking human conversation flow.
  • Acoustic Noise: Advanced speech recognition models are highly resilient to background noise and varied accents, ensuring high accuracy even in noisy home or car environments.
  • Intent Nuance: LLMs provide the deep contextual understanding needed to identify customer intent, even when the customer uses vague or emotional language, turning frustrated calls into productive ones.

The Dual Pillars of Voice AI in CX

Conversational AI is transforming voice service through two primary deployment models, both of which reduce Customer Effort Score (CES) and boost Customer Satisfaction (CSAT):

1. Full Call Automation (The AI Front Line)

This model is deployed for high-volume, routine, yet critical interactions. The voicebot connects directly to the company’s backend systems (CRM, ERP, knowledge base) to pull personalized information and take action in real-time. Crucially, these new AI agents move beyond rigid scripts, using Generative AI to create dynamic, human-like dialogue that resolves the issue instantly. This 24/7 self-service capability slashes queue times and dramatically lowers the cost-to-serve.

2. Human-AI Collaboration (The Bionic Agent)

This is where the real human-centered innovation lies. The AI agent handles the bulk of the call — identifying the customer, verifying identity, diagnosing the problem, and gathering data. When the request hits a complexity threshold — such as requiring a policy override, handling an escalated complaint, or needing a final human authorization — the AI performs a contextual handoff. The human agent receives the call along with a complete, structured summary of the conversation, the customer’s intent, and often a recommended next step, turning a frustrating transfer into a seamless, empowered human interaction.

OR, even better can be the solution where a single human agent provides approvals or other guidance to multiple AI voice agents that continue owning their calls while waiting for the human to respond (possibly simultaneously helping the customer with additional queries) before continuing with the conversation through to resolution.

Customer Contact Week Nashville

“The most powerful application of voice AI isn’t automation, it’s augmentation. By freeing human agents from transactional drudgery, we elevate them to be empathic problem solvers, enhancing both their job satisfaction and the customer’s outcome.” — Braden Kelley

Measuring the Success of the Handoff

The quality of the transitions between AI and human is the true measure of success. Leaders must track metrics that assess the efficacy of the handoff itself:

  • Repeat Story Rate: The percentage of customers who have to repeat information to the human agent after an AI handoff. This must be near zero.
  • Agent Ramp-up Time (Post-Transfer): The time it takes for the human agent to absorb the AI-generated context and take meaningful action. Lower is better.
  • Post-Handoff CSAT: The customer satisfaction score specifically captured after a complex AI-to-human transfer, measuring the seamlessness of the experience.

The Agentic Future

The voicebots are indeed coming, and they are bringing with them the most significant shift in customer service since the telephone itself. The next evolution will see agentic AI — bots that can dynamically choose between multiple tools and knowledge sources to resolve novel problems without being strictly pre-scripted. The challenge for leaders is to ensure that as this technology scales, our focus remains firmly on the human experience, leveraging the best of AI’s speed and the best of human empathy to create a truly effortless and satisfying customer journey.

🤖 Companies to Watch in AI Voicebots

The voicebot space is rapidly evolving, driven by generative AI, and the recent Customer Contact Week (CCW) in Nashville highlighted several key players. Companies to watch in this generative AI voicebot and contact center space include market-leading platforms like NICE, Genesys, Zoom and Five9, all of whom are heavily integrating generative and agentic AI features—such as real-time coaching and automated post-call summaries — into their core Contact Center as a Service (CCaaS) offerings.

Beyond the traditional CCaaS providers, specialist AI firms like Replicant, Voice.AI and ASAPP (who had a significant presence at the event) continue to stand out by focusing on either full end-to-end voice automation for complex transactions or providing advanced Human-in-the-Loop AI features to augment live agents, particularly in regulated industries like financial services.

Additionally, major cloud vendors like Google Cloud and AWS (Amazon Connect) are increasingly aggressive, leveraging their foundational AI models to provide scalable, next-generation AI agents and contact center platforms, ensuring they remain transformative forces in customer experience (CX) automation.

HALLOWEEN BONUS: Save 30% on the eBook, hardcover or softcover of my latest book Charting Change (now in its second edition) — FREE SHIPPING WORLDWIDE — using code HAL30 until midnight October 31, 2025

Image credits: Customer Management Practice, Google Gemini

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

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Why Putting Employees First and Customers Second Works

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Why Putting Employees First and Customers Second Works

GUEST POST from David Burkus

What if your company announced that, moving forward, it would be place customers second on its list of priorities?

Sounds crazy. The customer is always right. Surely the customer is always first as well.

But that’s exactly what Vineet Nayar, CEO of HCL Technologies did over a decade ago. He announced that the company’s senior leaders would be placing the needs of employees first, and customers second. And the results have been spectacular.

How The Employees First Strategy Started

In 2006, Vineet Nayar, CEO of HCL, a digital engineering company based in India, boldly told his clients they were no longer the company’s top priority. Instead, the focus would be put on employees first. His belief was simple: happy employees make happy customers. Nayar labeled employees who actually interacted with customers as the “value zone,” where the real business magic happens — and any employee in the value zone received the dedicated focus of managers and support functions.

To bring this to life, he flipped the traditional management structure. He made the organizational chart look like an upside-down pyramid. Turning the hierarchy upside down required making managers accountable to front-line employees and ensuring that those in the support functions actually supported those front-line employees, instead of just insisting that they follow the hierarchy’s rigid systems.

Nayar focused his attention on two areas to ensure that the management and support functions served the front-line: reversing accountability and building transparency. Specifically, 360-degree feedback evaluations were expanded to include more front-line workers’ feedback for managers and senior level executives (that’s the accountability), and crucially those evaluations were made public so everyone who contributed to the survey could see the results (there’s your transparency). In addition, when problems occurred for front-line workers, they could create and own support tickets that their managers would have to address (usually, it’s the other way around in top to bottom organizations).

It’s important to note that HCL Technologies wasn’t a little start up in a garage or even a 50-person company. This was done at a 55,000 person, multinational organization. And, spoiler alert, it’s now grown to over 200,000 employees. Pulling off this flip was no small feat, but the results speak for themselves. Employee satisfaction soared, customer service improved, and revenues nearly tripled. By 2009, HCL was named India’s best employer.

Contrast this story with an example of what can go wrong when employee experience is overlooked. In 2001, Robert Nardelli was the newly minted CEO of Home Depot. Expectations were high given his track record at his old job at General Electric, where he had led several successful manufacturing operations.

At Home Depot, Nardelli noticed the stores were staffed with knowledgeable, full-time employees, and in his opinion, a bit too many. What do new leaders, wrongfully, do when they want to make waves and save money?

Yep, he downsized to optimize costs.

He decided to hire more part-timers, many of whom had less expertise in home improvement. The results were not what he expected. Customers quickly noticed the absence of their favorite employees and the decline in service quality. It turned out that managing a service organization like Home Depot was very different from managing a manufacturing operation.

This story underscores a critical point: leading a service organization requires a different approach — one that prioritizes employee engagement and expertise.

“Employees first, customers second” is still about serving the customer, but it’s about serving the customer through the employees whose job it is to serve the customer. Weird how that works, isn’t it? Understand that helping your employees helps your customers. These two parties are intrinsically tied together.

Research On Employees First

Nayar’s success story isn’t an isolated incidence of dumb luck. There’s research behind this. Researchers at Harvard University found a link between employee satisfaction and profitability. They took aim at a long-standing assumption in the business world that market share is the primary driver of profitability. If a company can increase market share, the thinking went, it will increase sales while taking advantage of economies of scale to lower costs and thus increase profits.

However, when they examined a variety of companies and the existing research, they found that market share is one factor in profitability. But that another factor better explains the most profitable companies: customer loyalty.

Based on their research, they estimated that a mere 5 percent increase in customer loyalty can yield a 25 to 85 percent increase in profitability.

Here’s how it works in practice: Profits are driven by customer loyalty. Customer loyalty is driven by employee satisfaction. And employee satisfaction is driven by putting employees first. They called this The Service-Profit Chain and managers who understand this can create a thriving cycle where employee and customer satisfaction drive each other, ultimately leading to greater business success.

In simple terms, if your business provides a service that your employees have front-line participation in, they are in essence an embodiment of the company, not you or the CEO. The entire brand, the experience, the service rests on those front-line employees. If they aren’t taken care of — if they aren’t satisfied — the customer tends to notice.

How Employees First Creates Customer Loyalty

Employee loyalty is a deep indicator of future performance for service organizations. It’s worth noting that there is a subtle difference between employee satisfaction and employee loyalty. Satisfaction derives from how happy employees are in their role. Loyalty comes from having a real stake in the success of the business. Without loyalty, employees leave for better opportunities, then high turnover rates drive up recruitment and training costs, disrupt productivity, and can negatively impact customer experiences. When employees stay longer, companies save on hiring costs, maintain productivity gains, and create a more positive environment for customers.

Simply put, loyal employees lead to loyal customers.

Great service leaders recognize that improving employee retention involves providing opportunities for growth and advancement. This approach keeps talented employees closer to the customer for longer periods, which directly impacts customer satisfaction and loyalty.

Take Whole Foods Market, for example. They have crafted their entire system — from their rigorous selection process to compensation methods — to encourage front-line employees to stay and thrive. Teams at Whole Foods are responsible for setting key metrics, making decisions on how to meet these targets, and even choosing what food items to buy locally. They’re rewarded with bonuses based on team performance, which often includes finding creative ways to boost sales to balance out labor costs. After three years on the job, employees receive stock options, which further incentivizes them to stay.

Additionally, Whole Foods allows employees to vote every three years on various aspects of the benefits package, from community service pay to health insurance provisions. All these factors contribute to Whole Foods’ remarkably low turnover rate of less than 10 percent for full-time employees after the probationary period — far below the industry average.

The results speak for themselves: Whole Foods is regularly rated as one of the best places to work, known for excellent customer service, and boasts some of the highest profits per square foot in the grocery retail industry.

This success is a testament to the power of employee loyalty in driving exceptional service. Great service leadership isn’t just about managing day-to-day operations — it’s about creating an environment where employees feel valued, empowered, and committed. By focusing on employee loyalty, service leaders can build stronger customer relationships and achieve sustainable success.

Employees First For All Leaders

You may not have the power in your organization to completely flip the hierarchy. But there’s still an important lesson for leaders at all levels: Flip the accountability. This can look like bringing in more feedback from front-line employees or just seeing the structure of your team differently. You work for your team. Don’t squeeze your team; foster them to do well.

In addition, give your employees real stakes and invest in them. Prioritize training and growth opportunities for your employees so they know you’re committed to not just their output, but their career. Parties, gift certificates, awards, summer Fridays, bonuses — all of these are great. Do those things. But those are more employee appreciation, not real development. Development looks like sending your rising stars to conferences, workshops, night school even, if you have the budget. Things you think will help them grow as employees, spark innovation, and create future leaders.

Conclusion

If I could put a message on a billboard in front of every Fortune 500 company, it would be this:

People don’t work for you.

Smart leaders know that employees work with them, and ultimately, leaders work for their people. Embracing the “employees first, customers second” philosophy means prioritizing the well-being and growth of employees, enabling them to deliver outstanding service. Happy, engaged employees create satisfied customers. When leaders invest in their teams’ success and happiness, they cultivate a culture where customers feel valued, leading to long-term loyalty and a thriving business.

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Image credit: David Burkus

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Are You Getting Your Fair Share of $860 Billion?

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Are You Getting Your Fair Share of $860 Billion?

GUEST POST from Shep Hyken

According to Qualtrics, there is an estimated $860 billion worth of revenue and cost savings available for companies that figure out how to create an improved Customer Experience (CX) using AI to better understand and serve their customers. (That includes $420 billion for B2B and $440 billion for B2C.) Qualtrics recently released these figures in a report/eBook titled Unlock the Potential through AI-Enabled CX.

I had a chance to interview Isabelle Zdatny, head of thought leadership at Qualtrics Experience Management Institute, for Amazing Business Radio. She shared insights from the report, including ways in which AI is reshaping how organizations measure, understand and improve their relationships with customers. These ideas are what will help you get more customers, keep existing customers and improve your processes, giving you a share of the $860 billion that is up for grabs. Here are some of the top takeaways from our interview.

AI-Enabled CX Represents a Financial Opportunity

The way AI is used in customer experience is much more than just a way to deflect customers’ questions and complaints to an AI-fueled chatbot or other self-service solution. Qualtrics’ report findings show that the value comes through increased employee productivity, process improvement and revenue growth. Zdatny notes a gap between leadership’s recognition of AI’s potential and their readiness to lead and make a change. Early adopters will likely capture “compounding advantages,” as every customer interaction makes their systems smarter and their advantage more difficult for competitors to overcome. My response to this is that if you aren’t on board with AI for the many opportunities it creates, you’re not only going to be playing catch-up with your competitors, but also having to catch up with the market share you’re losing.

Customers Want Convenience

While overall CX quality is improving, thanks to innovation, today’s customers have less tolerance for friction and mistakes. A single bad experience can cause customers to defect. My customer experience research says an average customer will give you two chances. Zdatny says, “Customers are less tolerant of friction these days. … Deliver one bad experience, and that sends the relationship down a bad path more quickly than it used to.”

AI Takes Us Beyond Surveys

Customer satisfaction surveys can frustrate customers. AI collects the data from interactions between customers and the company and analyzes it using natural language processing and sentiment. It can predict churn and tension. It analyzes customer behavior, and while it doesn’t look at a specific customer (although it can), it is able to spot trends in problems, opportunities and more. The company that uses this information the right way can reap huge financial rewards by creating a better customer experience.

Agentic AI

Agentic AI takes customer interactions to a new level. As a customer interacts with AI-fueled self-service support, the system can do more than give customers information and analyze the interaction. It can also take appropriate action. This is a huge opportunity to make it easier on the workforce as AI processes action items that employees might otherwise handle manually. Think about the dollars saved (part of the $860 billion) by having AI support part of the process so people don’t have to.

Customer Loyalty is at Risk

To wrap this up, Zdatny and I talked about the concept of customer loyalty and how vulnerable companies are to losing their most loyal customers. According to Zdatny, a key reason is the number of options available to consumers. (While there may be fewer options in the B2B world, the concern should still be the same.) Switching brands is easy, and customers are more finicky than ever. Our CX research finds that typical customers give you a second chance before they switch. A loyal customer will give you a third chance — but to put it in baseball terms, “Three strikes and you’re out!” Manage the experience right the first time, and keep in mind that whatever interaction you’re having at that moment is the reason customers will come back—or not—to buy whatever you sell.

Image Credits: Pexels

This article was originally published on Forbes.com

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Why Best Practices Fail

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Five Questions with Ellen DiResta

Why Best Practices Fail

GUEST POST from Robyn Bolton

For decades, we’ve faithfully followed innovation’s best practices. The brainstorming workshops, the customer interviews, and the validated frameworks that make innovation feel systematic and professional. Design thinking sessions, check. Lean startup methodology, check. It’s deeply satisfying, like solving a puzzle where all the pieces fit perfectly.

Problem is, we’re solving the wrong puzzle.

As Ellen Di Resta points out in this conversation, all the frameworks we worship, from brainstorming through business model mapping, are business-building tools, not idea creation tools.

Read on to learn why our failure to act on the fundamental distinction between value creation and value capture causes too  many disciplined, process-following teams to  create beautiful prototypes for products nobody wants.

Robyn: What’s the one piece of conventional wisdom about innovation that organizations need to unlearn?

Ellen: That the innovation best practices everyone’s obsessed with work for the early stages of innovation.

The early part of the innovation process is all about creating value for the customer.  What are their needs?  Why are their Jobs to be Done unsatisfied?  But very quickly we shift to coming up with an idea, prototyping it, and creating a business plan.  We shift to creating value for the business, before we assess whether or not we’ve successfully created value for the customer.

Think about all those innovation best practices. We’ve got business model canvas. That’s about how you create value for the business. Right? We’ve got the incubators, accelerators, lean, lean startup. It’s about creating the startup, which is a business, right? These tools are about creating value for the business, not the customer.

R: You know that Jobs to be Done is a hill I will die on, so I am firmly in the camp that if it doesn’t create value for the customer, it can’t create value for the business.  So why do people rush through the process of creating ideas that create customer value?

E: We don’t really teach people how to develop ideas because our culture only values what’s tangible.  But an idea is not a tangible thing so it’s hard for people to get their minds around it.  What does it mean to work on it? What does it mean to develop it? We need to learn what motivates people’s decision-making.

Prototypes and solutions are much easier to sell to people because you have something tangible that you can show to them, explain, and answer questions about.  Then they either say yes or no, and you immediately know if you succeeded or failed.

R: Sounds like it all comes down to how quickly and accurately can I measure outcomes?   

E: Exactly.  But here’s the rub, they don’t even know they’re rushing because traditional innovation tools give them a sense of progress, even if the progress is wrong.

We’ve all been to a brainstorm session, right? Somebody calls the brainstorm session. Everybody goes. They say any idea is good. Nothing is bad. Come up with wild, crazy ideas. They plaster the walls with 300 ideas, and then everybody leaves, and they feel good and happy and creative, and the poor person who called the brainstorm is stuck.

Now what do they do? They look at these 300 ideas, and they sort them based on things they can measure like how long it’ll take to do or how much money it’ll cost to do it.  What happens?  They end up choosing the things that we already know how to do! So why have the brainstorm?”

R: This creates a real tension: leadership wants progress they can track, but the early work is inherently unmeasurable. How do you navigate that organizational reality?

E: Those tangible metrics are all about reliability. They make sure you’re doing things right. That you’re doing it the same way every time? And that’s appropriate when you know what you’re doing, know you’re creating value for the customer, and now you’re working to create value for the business.  Usually at scale

But the other side of it?  That’s where you’re creating new value and you are trying to figure things out.  You need validity metrics. Are we doing the right things? How will we know that we’re doing the right things.

R: What’s the most important insight leaders need to understand about early-stage innovation?

E: The one thing that the leader must do  is run cover. Their job is to protect the team who’s doing the actual idea development work because that work is fuzzy and doesn’t look like it’s getting anywhere until Ta-Da, it’s done!

They need to strategically communicate and make sure that the leadership hears what they need to hear, so that they know everything is in control, right? And so they’re running cover is the best way to describe it. And if you don’t have that person, it’s really hard to do the idea development work.”

But to do all of that, the leader also must really care about that problem and about understanding the customer.

We must create value for the customer before we can create value for the business. Ellen’s insight that most innovation best practices focus on the latter is devastating.  It’s also essential for all the leaders and teams who need results from their innovation investments.

Before your next innovation project touches a single framework, ask yourself Ellen’s fundamental question: “Are we at a stage where we’re creating value for the customer, or the business?” If you can’t answer that clearly, put down the canvas and start having deeper conversations with the people whose problems you think you’re solving.

To learn more about Ellen’s work, check out Pearl Partners.

To dive deeper into Ellen’s though leadership, visit her Substack – Idea Builders Guild.

To break the cycle of using the wrong idea tools, sign-up for her free one-hour workshop.

Image credit: 1 of 950+ FREE quote slides available at http://misterinnovation.com

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Don’t Make Customers Do These Seven Things They Hate

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Don't Make Customers Do These Seven Things They Hate

GUEST POST from Shep Hyken

Recently, I had an experience with a company and thought, “I hate this … Why do they make me do this?” This question wasn’t because of curiosity. No, I was thinking that this is something other customers must hate as well, but they make them do it anyway. So, I started a personal brainstorming session to list various processes, requirements, policies, rules, and more that cause customers to question why they continue to do business with these companies. Of course, my mind immediately went to customer service and experience issues, but there’s much more. With that in mind, here are seven practices, steps, processes, and policies that customers hate, but companies make them do it anyway.

Customers Hate:

  1. To Wait – Long hold times and long lines are frustrating and send negative messages, such as the customer’s time isn’t valued or the company is understaffed.
  2. Repeating Anything – Calling customer support and being passed around to different people, having to repeat your story again and again, isn’t fun. Nor is filling out forms that repeat the information you’ve already filled out on previous forms.
  3. Finding Hidden Fees – A stated price should be the price – with no extra fees. I recently checked into a hotel. They told me I had a $30 food and beverage credit as part of my stay – a nice surprise. Upon checking out, I noticed a $30 charge referred to as a “Destination Fee.” I asked about it, and the clerk said it was to cover the $30 food and beverage credit.
  4. Filling Out Bad Surveys – Customers are learning to dislike surveys, especially if they are long. There are right and wrong ways to do surveys. And a bad survey shouldn’t be the last thing a customer experiences when doing business with you.
  5. Listening to Complicated Phone Options – If you’ve called a company and been told to “listen to the following as our options have changed,” so you listen to the many options, and once you choose one, there are even more options … Well, I think you get the picture. There’s better technology to get the customer to the right person or the information they need.
  6. Annoying Pop-Up Windows – If you’ve been on a website and are reading information or an article and pesky pop-up windows keep interrupting you with irrelevant messages and advertising, you’re a victim of annoying pop-up windows.
  7. Anything that Requires Unnecessary Effort – Maybe you have a simple request or question. Why should it take a long time to fill out forms, answer unnecessary questions or more to get an answer?

There is a theme to this list. All of these imply the company doesn’t respect the customer’s time, energy, and effort. The goal should be the opposite: to respect and value your customer’s time, energy, and effort. Don’t create friction and put customers through anything more than necessary to get them what they want. In short, have a goal to be the easiest company to do business with. If you’re serious about it, you’ll find ways to eliminate and mitigate friction. And this list is far from complete. There are many, many other things customers hate doing.

So, here’s your assignment. Sit down with your team and brainstorm all the things they hate to do when doing business with any company. Then, ask what they think customers might hate about doing business with you. This can be processes, steps, policies, and more. Once you have the list, you know what to do. Eliminate all that makes doing business with you painful – or at least make some of the less painful. Don’t make your customers do things they hate doing!

Image Credits: Shep Hyken, Pixabay

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