Six Revolutionary AI CX and Customer Service Strategies

Six Revolutionary AI CX and Customer Service Strategies

GUEST POST from Shep Hyken

Artificial Intelligence (AI) is reshaping customer service and customer experience faster than we could ever imagine. But some are getting it wrong. While everyone’s racing to implement AI, many are missing the most important part – keeping the human element alive. Smart companies have found the balance between the human touch and the digital experience.

One of my favorite AI and marketing experts is Ford Saeks, who recently released his latest book, AI Mindshift: Unleash the Power of AI, Avoid the Pitfalls, and Keep the Human Experience. The book is filled with practical strategies and tactics to help organizations leverage AI while maintaining the personal touch. The book isn’t about which specific AI tools to use. Many of those will be obsolete in a very short time. It’s about how to think about AI, hence the title, AI Mindshift. With that in mind, here are some of my top takeaways from the book:

  1. The Human-AI Balance Is Essential: This is the book’s central theme. Don’t fall into the trap of thinking AI can replace your customer service team. Instead, let AI handle the routine questions and problems while keeping your people focused on what they do best – building relationships and handling more complicated issues. This creates efficiency without sacrificing the personal touch customers value.
  2. Speed Matters: Your customers want answers now, not later. AI can deliver immediate first responses through chatbots, but here’s the key – make sure your customers can seamlessly transition to a human agent when needed. I refer to this as Time to Happiness – how quickly you can move a customer from frustrated to satisfied. The faster, the better.
  3. Feedback Is Your Friend: Create processes to continuously gather both customer and employee feedback about AI interactions. Consistently use this data to refine and improve your AI systems. If customers are frustrated with certain AI responses, fix them quickly. Otherwise, your faulty systems may frustrate your customers and drive them to the competition.

  1. Practice “Ethical AI” in Customer Service: Saeks emphasizes two big areas: transparency about when customers interact with AI versus humans and making sure your AI technology protects your customers’ privacy and data.
  2. Proactive Support: If you want to impress your customers, identify issues or problems before the customer finds them. Then, tell them you did. AI can help identify these issues.
  3. Think Big, but Start Small: Begin AI implementation with specific, manageable customer service tasks rather than trying to overhaul everything at once. For example, start with AI handling basic FAQs, then gradually expand to more complex customer interactions as you learn what works. Remember the old saying, “Rome wasn’t built in a day.”

The bottom line is this: AI isn’t about replacing your customer service team. It’s about making them more amazing at what they do. Saeks’ book reminds us that the future of customer service and CX isn’t about choosing between AI and humans. It’s about combining both to create experiences that get your customers to say, “I’ll be back!”

Image Credit: Pexels, Shep Hyken

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Contemporary Science versus Natural Language

Contemporary Science versus Natural Language

GUEST POST from Geoffrey A. Moore

Item 1. The fastest human-created spacecraft goes 165,000 mph. Pretty amazing. But for it to travel one light year would take roughly 3000 years—basically, the length of recorded human history. The closest star system that hosts an earth-like planet (Alpha Centauri) is 4.4 light years away. Thus, it would take today’s fastest vehicle 14,000 years to make a one-way trip. On our earth, 14,000 years ago humanity’s most sophisticated technology was a stone axe. Thus, while we love to talk about space travel outside the solar system, as well as aliens in UFOs coming to Earth, neither is remotely possible, not now, not ever.

Item 2. There are 30 trillion cells in the average human body. There are 100 trillion atoms in a typical human cell. That means there are three thousand trillion trillion atoms, give or take, in you or me. Atoms are so small that it is not clear any words we have would apply to how they actually operate. Particle and wave are two of the ones we end up using the most. Neither of them, however, can coherently explain something as simple as the double-slit experiment.

Item 3. The metabolic reactions that support all life are mind-bogglingly fast. Take mitochondria for example. They are the organelles that produce the bulk of our ATP, the energy molecule that drives virtually all life’s chemical reactions. Of the 30 trillion cells in your body, on average each one uses around 10 million molecules of ATP per second and can recycle all its ATP in less than a minute. There is simply no way to imagine something happening a million times per second simultaneously in thirty million different places inside your own body.

Item 4. Craig Venter has been quoted as saying, “If you don’t like bacteria, you’re on the wrong planet. This is the planet of the bacteria.” In one-fifth of a teaspoon of seawater, there are a million bacteria (and perhaps 10 million viruses). The human microbiome, which has staked out territory all over our body, in our gut, mouth, skin, and elsewhere, harbors upwards of three thousand kinds of bacteria, comprising some 3 million distinct genes, which they swap with each other wherever they congregate. How in the world are we supposed to keep track of that?

Okay, okay. So what’s your point?

The point is that contemporary science engages with reality across a myriad of orders of magnitude, from the extremely small to the extremely large, somewhere between sixty and one hundred all told. Math can manage this brilliantly. Natural languages cannot. All of which means: philosophers beware!

Philosophers love analogies, and well they should. They make the abstract concrete. They enable us to transport a strategy from a domain where it has been proven effective and test its applicability in a completely different one. Such acts of imagination are the foundation of discovery, the springboard to disruptive innovation. But to work properly they have to be credible. That means they must stand up to the kind of pressure testing that determines the limits to which they can be applied, the boundaries beyond which they must not stretch. This is where the orders of magnitude principle comes in.

It is not credible that there could be a cause that is a million million times smaller than its effect. Yes, it is theoretically conceivable that via a cascading set of emergent relationships, one could build a chain from such an A to such a B, but the amount of coordination that would be required to lever something up a million million times is just ridiculously improbable. So, when philosophers refer to the uncertainty principles embedded in quantum mechanics, and then infer or imply that such uncertainty permeates human affairs, or when they trace consciousness down to quantum fluctuations in messenger RNA, when, in short, they are correlating things that are more than a trillion, trillion times different in size and scope, then they are misusing both the mathematics of science and the resources of natural language. We simply have to stay closer to home.

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

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ChatGPT Blew My Mind with its Strategy Development

ChatGPT Blew My Mind with its Strategy Development

GUEST POST from Robyn Bolton

It’s easy to get complacent about your strategy skills.  After all, our yearly “strategic planning” processes result in quarterly “strategic priorities” that require daily “strategic decisions.” So, it’s reasonable to assume that we know what we’re doing when it comes to strategy development.

I’ll admit I did. After all, I’ve written strategic plans for major brands, developed strategies for billion-dollar businesses, and teach strategy in a Masters program.

I thought I knew what I was doing.

Then ChatGPT proved me wrong.

How it Began

My student’s Midterm assignment for this semester is to develop, recommend, and support a strategy for the companies they’ve studied for the past seven weeks. Each week, we apply a different framework – Strategy Kernel, SWOT, Business Model Canvas, Porter’s 5 Forces, PESTLE, Value Chain – to a case study. Then, for homework, they apply the framework to the company they are analyzing.

Now, it’s time to roll up all that analysis and turn it into strategic insights and a recommended strategy.

Naturally, they asked me for examples.

I don’t have a whole lot of examples, and I have precisely none that I can share with them.

I quickly fed The LEGO Group’s Annual Report, Sustainability Report, and Modern Slavery and Transparency Statements into ChatGPT and went to work.

Two hours later, I had everything needed to make a solid case that LEGO needs to change its strategy due to risks with consumers, partners, and retailers. Not only that, the strategy was concise and memorable, with only 34 carefully chosen words waiting to be brought to life through the execution of seven initiatives.

Two hours after that, all of my genius strategic analysis had been poured into a beautifully designed and perfectly LEGO-branded presentation that, in a mere six slides, laid out the entire case for change (which was, of course, supported by a 10-page appendix).

The Moment

As I gazed lovingly at my work, I felt pretty proud of myself. I even toyed with the idea of dropping a copy off at LEGO’s Back Bay headquarters in case they needed some help.

I chuckled at my little daydream, knowing no one would look at it because no one asked for it, and no implementers were involved in creating it.

That’s when it hit me.

All the reasons my daydream would never become a reality also applied to every strategy effort I’ve ever been part of.

  • No one looks at your strategy because it’s just a box to check to get next year’s budget.
  • No one asks for it because they’re already working hard to maintain the status quo. They don’t have the time or energy to imagine a better future when they’re just trying to get through today.
  • No one responsible for implementing it was involved in creating it because strategy is created at high levels of the organization or outsourced to consultants.

What the strategy is doesn’t matter.*

What matters is how the strategy was created.

Conversation is the only way to create a successful, actionable, and impactful strategy.

Conversation with the people responsible for implementing it, they people on the ground and the front lines, the people dealing with the ripple effects of all those “strategic” decisions.

How It’s Going

Today, I’m challenging myself—and you—to make strategy a dialogue, not a monologue. To value participation over presentation. Because strategy without conversation isn’t strategy at all—it’s just a beautiful document waiting to be forgotten.

Who are you inviting into your next strategy conversation that isn’t usually there but should be? Share in the comments below.

Image credit: Pexels

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Why So Many Smart People Are Foolish

Why So Many Smart People Are Foolish

GUEST POST from Greg Satell

When I lived in Moscow, my gym was just a five-minute walk from my flat. So rather than use a locker, I would just run over in my shorts and a jacket no matter what the weather was. The locals thought I was crazy. Elderly Russians would sometimes scream at me to go home and get dressed properly.

I had always heard that Russians were impervious to the effects of weather, but the truth is that they get cold just like the rest of us. We tend to mythologize the unknown. Our brains work in strange ways, soaking up patterns from what we see. Often, however, those experiences are unreliable, such as the Hollywood images that helped shape my views about Russians and their impenetrability.

The problem is that myths often feel more real than facts. We have a tendency to seize on information that is most accessible, not the most accurate, and then interpret new evidence based on that prior perception. We need to accept that we can’t avoid our own cognitive biases. The unavoidable truth is that we’re easiest to fool when we think we’re being clever.

Inventing Myths

When Jessica Pressler first published her story about Anna Sorokin in New York Magazine, it could scarcely be believed. A Russian emigrant, with no assets to speak of, somehow managed to convince the cream of New York society that she was, in fact, a wealthy German heiress and swindled them out of hundreds of thousands of dollars.

Her crimes pale in comparison to Elizabeth Holmes of Theranos, who made fools of the elites on the opposite coast. Attracting a powerful board that included Henry Kissinger (but no one with expertise in life sciences), the 20-something entrepreneur convinced investors that she had invented a revolutionary blood testing technology and was able to attract $700 million.

In both cases, there was no shortage of opportunities to unmask the fraud. Anna Sorokin left unpaid bills all over town. Despite Holmes’s claims, she wasn’t able to produce a single peer-reviewed study that her technology worked even after 10 years in business. There were no shortage of whistle blowers from inside and outside the company.

Still, many bought the ruses and would interpret facts to support them. Sorokin’s unpaid bills were seen as proof of her wealth. After all, who but the fabulously rich could be so nonchalant with money? In Holmes’ case, her eccentricities were taken as evidence that she truly was a genius, in the mold of Steve Jobs or Mark Zuckerberg.

The Halo Effect

People like Sorokin and Holmes intentionally prey on our weaknesses. Whenever anybody tried to uncover the facts, they threw elaborate defenses, making counter-accusations of any who dared to question them. Often, they used relationships with powerful people to protect them. At Theranos, there was very strict corporate security and an army of lawyers.

Still, it doesn’t have to be so diabolical. As Phil Rosenzweig explains in The Halo Effect, when a company is doing well, we tend to see every aspect of the organization in a positive light. We assume a profitable company has wise leadership, motivated employees and a sound strategy. At the same time, we see the traits of poorly performing firms in a negative light.

But what if it’s the same company? Rosenzweig points out that, when Cisco was at its peak before the dot-com bust, it was said to have an “extreme customer focus.” But a year later, when things turned south, Cisco was criticized for “a cavalier attitude toward potential customers” and “irksome” sales policies. Did its culture really change so much in a year?

Business pundits, in ways very similar to swindlers, prey on how our minds work. When they say that companies that employ risky strategies outperform others who don’t, they are leveraging survivorship bias and, of course, firms that took big risks and failed are never counted in the analysis. When consulting companies survey industry executives, they are relying more on social proof than uncovering expert opinion.

The Principle Of Reflexivity

In the early 70’s, a young MBA student named Michael Milken noticed that debt that was considered below investment grade could provide higher risk-adjusted returns than other investments. He decided to create a market for the so-called junk bonds and, by the 80’s, was making a ton of money.

Then everybody else piled on and the value of the bonds increased so much that they became a bad investment. Nevertheless, investors continued to rush in. Inevitably, the bubble popped and the market crashed as the crowds rushed for the exit. Many who were considered “smart money” lost billions.

That’s what George Soros calls reflexivity. Expectations aren’t formed in a vacuum, but in the context of other’s expectations. If many believe that the stock market will go up, we’re more likely to believe it too. That makes the stock market actually go up, which only adds fuel to the fire. Nobody wants to get left out of a good thing.

Very few ever seem to learn this lesson and that’s why people like Anna Sorokin and Elizabeth Holmes are able to play us for suckers. We are wired to conform and the effect extends widely throughout our social networks. The best indication of what we believe is not any discernible fact pattern, but what those around us happen to believe.

Don’t Believe Everything You Think

One of the things that I’ve learned over the years is that it’s best to assume people are smart, hardworking and well-intentioned. Of course, that’s not always true, but we don’t learn much from dismissing people as stupid, lazy and crooked. And if we don’t learn from others’ mistakes, then how can we avoid the same failures?

Often, smart people get taken in because they’re smart. They have a track record of seeing things others don’t, making good bets and winning big. People give them deference, come to them for advice and laugh at their jokes. They’re used to seeing things others don’t. For them, a lack of discernible evidence isn’t always a warning sign. It can be an opportunity.

We all need to check ourselves so that we don’t believe everything that we think. There are formal processes that can help, such as pre-mortems and red teams, but most of all we need to own up to the flaws in our own brains. We have a tendency to see patterns that aren’t really there and to double down on bad ideas once we’ve committed to them.

As Richard Feynman famously put it, “The first principle is that you must not fool yourself—and you are the easiest person to fool.” Smart people get taken in so easily because they forget that basic principle. They mythologize themselves and become the heroes of their own stories. That’s why there will always be more stories like “Inventing Anna” and Theranos.

Suckers are born every minute and, invariably, they think they’re playing it smart.

— Article courtesy of the Digital Tonto blog
— Image credits: Unsplash

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Five Questions Great Leaders Always Ask

Five Questions Great Leaders Always Ask

GUEST POST from David Burkus

It may seem like leaders need to have all the answers. Presumably, they became leaders by being smart, hardworking individual contributors who had the answers most of the time. But while knowing what to do is important, great leaders believe that knowing what questions to ask is even more vital. Especially when it comes to leading the team. Asking them the right questions instead of barking out the answers will lead to a higher performing team.

In this article, we’ll outline five questions great leaders ask to promote growth, collaboration, and trust within their teams. These questions are not just about directing the team, but also about understanding the team’s strengths, identifying areas for improvement, providing necessary support, and seeking feedback for personal growth. These questions align the team towards common goals, focus on strengths, encourage feedback and improvement, and promote a servant leadership mentality.

1. Where Are We Going?

The first question great leaders ask is, “Where are we going?” This question helps to identify the projects and progress of the team, providing a clear direction and goals for everyone involved. It’s about understanding the key performance indicators and aligning the team towards a common vision, often referred to as the North Star or Commander’s Intent. This vision serves as a guiding light, ensuring that all team members are moving in the same direction and working towards the same objectives.

By asking this question, leaders can ensure that everyone understands the team’s mission and goals. It promotes transparency and clarity, reducing the chances of confusion or misalignment. It also allows leaders to gauge the team’s understanding of the goals and make necessary adjustments to ensure everyone is on the same page.

2. What Is Going Well?

The second questions great leaders ask is “What is going well?” This question emphasizes the importance of recognizing achievements and successes within the team. It’s about identifying areas of strength and expertise and encouraging more of what is working well. This approach is more effective than constantly pointing out what’s wrong, as it builds confidence and motivates the team to continue performing at their best.

By focusing on what’s going well, leaders can foster a positive work environment where team members feel valued and appreciated. It also helps leaders understand the team’s strengths better, allowing them to leverage these strengths to achieve team goals more effectively.

3. Where Can We Improve?

The third question great leaders ask is “Where can we improve?” This is about seeking feedback and identifying areas for improvement as a team. It involves asking the team for their ideas and perspectives, identifying blind spots and weaknesses, and addressing collaboration issues or client problems. This question promotes a culture of continuous improvement, where everyone is encouraged to share their ideas and take ownership of the team’s progress.

By asking this question, leaders can create an open and inclusive environment where everyone’s opinions are valued. It also helps leaders identify areas where they might not have noticed a need for improvement, allowing them to make necessary changes to enhance team performance.

4. How Can I Help?

The fourth question great leaders ask is “How can I help?” This question emphasizes the role of a leader in providing support and resources to the team. It’s about understanding the leader’s responsibility to assist the team and adopting a servant leadership mentality. This question ensures that the team has what they need to succeed, whether it’s resources, guidance, or moral support.

By asking this question, leaders can show their commitment to the team’s success and their willingness to provide necessary support. It also allows leaders to understand the challenges and obstacles that the team is facing, enabling them to provide appropriate assistance and resources.

5. Where Do I Need Help?

The final question great leaders ask is “Where do I need help?” This question shifts a leader’s attention toward seeking their own feedback and continuously learning and growing. It’s about recognizing the value of feedback from the team, building trust through open communication, and encouraging personal development and growth. This question shows that great leaders are not afraid to ask for help and are always seeking to improve themselves.

By asking this question, leaders can foster a culture of mutual learning and growth, where everyone, including the leader, is continuously improving. It also helps build trust within the team, as it shows that the leader values the team’s feedback and is willing to learn from them.

These five questions – Where are we going? What is going well? Where can we improve? How can I help? And where do I need help? – are essential tools for great leaders. They promote growth, collaboration, and trust within the team, fostering a positive and productive work environment. By asking these questions regularly, leaders can ensure that their teams are aligned, motivated, and doing their best work ever.

Image credit: Pixabay

Originally published on DavidBurkus.com on December 19, 2023

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

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

  1. Turning Bold Ideas into Tangible Results — by Robyn Bolton
  2. Leading Through Complexity and Uncertainty — by Greg Satell
  3. Empathy is a Vital Tool for Stronger Teams — by Stefan Lindegaard
  4. The Role Platforms Play in Business Networks — by Geoffrey A. Moore
  5. Inspiring Innovation — by John Bessant
  6. Six Keys to Effective Teamwork — by David Burkus
  7. Product-Lifecycle Management 2.0 — by Dr. Matthew Heim
  8. 5 Business Myths You Cannot Afford to Believe — by Shep Hyken
  9. What Great Ideas Feel Like — by Mike Shipulski
  10. Better Decision Making at Speed — by Mike Shipulski

BONUS – Here are five more strong articles published in February 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!

SPECIAL BONUS: While supplies last, you can get the hardcover version of my first bestselling book Stoking Your Innovation Bonfire for 44% OFF until Amazon runs out of stock or changes the price. This deal won’t last long, so grab your copy while it lasts!

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 four years:

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Beyond Continuous Improvement Culture

Beyond Continuous Improvement Culture

GUEST POST from Mike Shipulski

We’ve been too successful with continuous improvement. Year-on-year, we’ve improved productivity and costs. We’ve improved on our existing products, making them slightly better and adding features.

Our recipe for success is the same as last year plus three percent. And because the customers liked the old one, they’ll like the new one just a bit more. And the sales can sell the new one because its sold the same way as the old one. And the people that buy the new one are the same people that bought the old one.

Continuous improvement is a tried-and-true approach that has generated the profits and made us successful. And everyone knows how to do it. Start with the old one and make it a little better. Do what you did last time (and what you did the time before). The trouble is that continuous improvement runs out of gas at some point. Each year it gets harder to squeeze out a little more and each year the return on investment diminishes. And at some point, the same old improvements don’t come. And if they do, customers don’t care because the product was already better than good enough.

But a bigger problem is that the company forgets to do innovative work. Though there’s recognition it’s time to do something different, the organization doesn’t have the muscles to pull it off. At every turn, the organization will revert to what it did last time.

It’s no small feat to inject new work into a company that has been successful with continuous improvement. A company gets hooked on the predictable results of continuous which grows into an unnatural aversion to all things different.

To start turning the innovation flywheel, many things must change. To start, a team is created and separated from the continuously improving core. Metrics are changed, leadership is changed and the projects are changed. In short, the people, processes, and tools must be built to deal with the inherent uncertainty that comes with new work.

Where continuous improvement is about the predictability of improving what is, innovation is about the uncertainty of creating what is yet to be. And the best way I know to battle uncertainty is to become a learning organization. And the best way to start that journey is to create formal learning objectives.

Define what you want to learn but make sure you’re not trying to learn the same old things. Learn how to create new value for customers; learn how to deliver that value to new customers; learn how to deliver that new value in new ways (new business models.)

If you’re learning the same old things in the same old way, you’re not doing innovation.

Image credits: misterinnovation.com (1 of 850+ free quote slides for download)

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The Importance of Real-Time Feedback

The Importance of Real-Time Feedback

GUEST POST from Shep Hyken

I love talking to other Customer Experience (CX) experts, especially when they are “in the trenches,” working for companies and organizations that practice what they preach. I recently talked with one of those experts, Gabriel Masili of Granicus, a company that provides government agencies worldwide with technology and support that creates a better citizen experience. Not only does Granicus create a good CX for its customers, but it also helps its customers create a great experience for their customers. G, as he likes to be called, shared a great idea in our recent interview on Amazing Business Radio. He talked about collecting feedback during the experience in addition to asking for it after the experience.

Asking for Feedback during the Process

If this topic sounds familiar, it might be because I covered the concept of real-time feedback after interviewing Adam Alfia, whose company is called Realtime Feedback. G’s take on the concept is a little different, especially as it relates to the government’s efforts to create a better experience.

In our interview, G mentioned that asking for feedback during the process is a way to capture the customer’s general sentiment about the experience they are having. For example, if there is a digital process you’re taking the customer through, you might ask, “Do you understand what we’ve shared so far?” A simple option of yes or no will give you insight. If everyone answers “Yes,” you know you have a good process. If many customers answer “No,” you now recognize there is an opportunity to improve. But what if just a few people answer, “No”? That is when you escalate the customer to someone who can help in real time. In G’s words, “You extract the customer from the experience” and help them at that moment rather than force them to go through a process that, for them, could be confusing, cumbersome, or just not pleasant.

Real-time Feedback Cartoon Shep Hyken

‘In the Moment’ Feedback

This reminded me of an experience I am having more and more after checking into a hotel. About five or ten minutes after I’m in my room, the phone rings. It’s the person at the front desk checking with me to make sure the room is as expected. If it’s not, this “in the moment” feedback will fix any problems long before my experience is over.

The simplest example I can think of happens at a restaurant when the server comes back to our table a few minutes after the food was brought to us. He asked if everything was cooked to our satisfaction. If not, the entrée can be taken back to the kitchen. The alternative is to wait until the meal is over to find out about any problems, and by then, it’s too late.

The point is that there is a right time – even a better time – to ask for feedback, and sometimes, it is in the middle of the experience, not at the end. So here’s your homework. Sit down with your team and brainstorm how you can get feedback during the experience, not just after it. It may or may not be something you can do in your organization, but it is a conversation that is definitely worth having.

Image Credit: Pixabay, Shep Hyken

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From Resistance to Reinvention

Overcoming Cultural Barriers to Transform Innovation Capability

From Resistance to Reinvention

GUEST POST from Noel Sobelman

For large, established companies, driving innovation is more than a strategic priority, it’s a necessity for survival in competitive and fast-changing markets. Yet, fostering innovation in a legacy organization can be a daunting task, especially when cultural inertia stands in the way. This article draws on my experiences working with global companies who have undertaken the bold initiative to transform their innovation capabilities and provides practical insights into overcoming the culture and behavior challenges that stand in the way of change.

I’ll share proven methods and tactics leaders can use to drive change. While some companies have seen significant progress in areas like employee involvement and crafting compelling cultural narratives, they have also encountered challenges in achieving consistency in leadership actions and aligning incentives. These successes and setbacks highlight the complexity of applying change management techniques in real-world settings and offer valuable lessons for senior leaders grappling with similar transformations.

To illustrate how companies have navigated these transformations, I’ll examine the key mechanisms that shape change initiatives while highlighting both successes and obstacles. By analyzing initiative governance, leadership actions, system interdependence, employee engagement strategies, rewards, symbols, and HR system alignment, I will identify the factors that drive lasting change and the barriers that hinder progress. This analysis will shed light on the practical realities of fostering a culture of continuous innovation, equipping leaders with actionable insights to guide their own transformation efforts.

Making the Case for Change

For meaningful change to occur, it is essential to first establish a shared understanding of the current state, the benefits of change, the risks of inaction, the specific capability gaps, and the precise ways the organization needs to adapt. In large, well-established companies, innovation spans multiple functions, business units, geographies, growth horizons, and management levels, each presenting its own unique challenges and perspectives. Consequently, reaching consensus on the core issues is rare and it often takes a crisis, such as declining revenue, a major product failure, the departure of critical team members, or the threat of disruption to ignite change. Successful transformations begin with a sharpened and clearly communicated “why change” narrative.

Figure 1 below illustrates how one company used a benchmark analysis to compare its current innovation performance to industry best-in-class standards across multiple dimensions. The benchmark helped identify performance gaps, highlighting the need for change and enabling the company to set realistic improvement targets. The data provided objectivity and fostered a shared understanding of the need for improvement.

Figure 1. Sample Performance Gap Analysis

Establishing Ownership & Governance

Innovation is inherently cross-functional, involving multiple management layers. But when execution issues or launch failures persist, who is responsible? The tendency is to assign blame to a specific function, often R&D or Marketing in technology-driven companies, and expect that group to diagnose and fix the problem. This siloed mindset fosters finger-pointing and defensiveness while overlooking the interconnected systems required for meaningful improvement. In reality, the necessary changes extend beyond the control of any single individual or department.

To overcome these challenges, it is essential to establish a clear governance framework that aligns responsibilities across different functions and organizational levels. In large corporations, this means differentiating between corporate, business unit, and product line levels, as each operates with distinct strategies, operational objectives, and decision-makers.

Governance for transformation is most effectively managed by a cross-functional steering team consisting of leaders from each impacted business unit and function, including R&D, marketing, operations, quality, regulatory, and finance. This team provides strategic oversight, sets performance targets, approves critical design and policy decisions, removes obstacles, and ensures consistent, enthusiastic communication. Strong endorsement from the CEO is essential to guarantee unwavering prioritization of the initiative and to secure organizational buy-in, while a dedicated cross-business working team handles day-to-day activities and champions the cultural changes needed to embed innovation practices throughout the organization.

The following graphic illustrates a sample governance structure that enables this coordinated approach. It outlines the key roles and responsibilities at various organizational levels, highlighting how leadership oversight, cross-functional collaboration, and operational execution come together to drive transformation success.

Figure 2. Sample Initiative Governance Structure

Demonstrating Leadership Action

Leaders shape employee behavior through consistent actions and messages that highlight priorities and expectations, demonstrating what they do, not what they say they do. Employees listen to what leaders say, observe their actions and where they focus their attention, recognize what they value, and use these cues to align their actions and priorities accordingly. For example, a CEO who makes time on his or her calendar to meet regularly with the initiative’s working team sends a powerful signal that the effort is a top priority for the organization.

In the most successful transformations, leadership begins by aligning on a clear change roadmap. This blueprint serves as a shared vision, mapping the path from the company’s current state to its desired future with well-defined actions, sequencing, and responsibilities. Leaders must agree on initiative goals, progress metrics, organizational changes, and time horizon. The roadmap incorporates both high impact “quick wins” and longer-term, advanced capabilities, along with the relative timing of activities and dependencies across each capability-building workstream. A well-constructed and actively maintained roadmap sets clear expectations for value realization and prevents isolated initiatives from emerging. By agreeing on this roadmap, leaders ensure that their messages, decisions, and actions remain consistent throughout the organization.

Figure 3. Sample Change Roadmap

Not all transformations maintain this level of cross-functional leadership alignment and focus. Over time, the priorities of well-intentioned leaders can shift, leading to unintended consequences. As the pressures of day-to-day operations and quarterly performance demands mount, these leaders often redirect their focus to immediate business needs, allocating resources to these areas or assigning transformation responsibilities as additional work without adjusting existing workloads. Similarly, when leadership priorities shift or the organization takes on too many initiatives simultaneously, focus on the transformation declines, and a wait-and-see approach tends to emerge.

This shift in focus has a ripple effect throughout the organization. What begins as a coordinated, integrated effort becomes piecemeal. Cross-business unit collaboration weakens, as leaders prioritize their own immediate challenges over broader, long-term goals. Pockets of resistance emerge, especially among middle managers who perceive the transformation as a threat to their authority or control. These managers openly question the legitimacy of the cross-business coalitions, making statements like, “They don’t really understand the nuances of how we operate in our business unit.” Such comments sow doubt and fracture the coalition, leaving the transformation adrift.

A transformation doesn’t fail overnight, it fades when leaders stop prioritizing it. Therefore, the CEO must act as the ultimate guardian, continuously and visibly reinforcing the business imperative, aligning leadership, and holding them accountable.

Building an Interdependent Innovation System

Companies typically start their improvement journey by making changes where there is an immediate need. This may involve implementing an improved gated-development process with Agile methods to guide core business execution or adopting design thinking and lean startup approaches to discover, incubate, and scale new business models. The results these capabilities provide can be significant, but unfortunately, they represent only a fraction of the potential value they can offer, and success is hard to sustain unless they are implemented as part of an interdependent innovation system.

Figure 4. The Innovation System

The above graphic illustrates innovation as an interconnected set of capability areas, where key elements, each with their own processes, organizational structures, governance mechanisms, workflows, and tools, function together as a cohesive system. While individual elements can be enhanced independently with significant success, the greatest value is achieved when all elements operate together. The effectiveness of any single element is ultimately reliant on the strength of the others. It takes a coordinated set of integrated initiatives that support and reinforce one another to achieve truly transformational results.

Involving Employees

Employee involvement is critical to transforming a company’s culture, fostering ownership, aligning diverse perspectives, and ensuring the adoption of new methodologies for lasting change. Employees are far more likely to embrace changes they help design, particularly in innovation process transformations.

Successful transformations prioritize employee involvement from the start. Establishing a cross-functional team with representatives from each business unit ensures a shared understanding of capability gaps and improvement opportunities. Using performance benchmarks, these teams gain insights into organizational challenges and build a collective commitment to address them.

Interactive workshops play a pivotal role giving key stakeholders the experience of being involved in shaping the future state. These sessions are designed to define guiding principles for new processes, build consensus around success metrics, and identify practical steps forward. Rather than generating extensive documentation, the focus is on creating actionable, outcome-driven processes that drive meaningful progress.

Process pilots are vital for testing and refining new approaches. Instead of lengthy design phases, pilot teams implement and validate key elements right away, demonstrating success and building momentum. Visible wins convert skeptics into advocates, creating enthusiasm and offering a clear vision of how the transformation benefits employees and the organization.

Hands-on engagement during these pilots fosters a sense of ownership as employees actively design, test, and refine new processes. This approach embeds new practices into the culture and drives the transformation forward.

However, when employee involvement is mishandled or overlooked, transformations can falter. Excluding employees from early stages, such as identifying performance gaps or defining future processes, leads to disengagement. Without a clear understanding of the reasons for change, employees may see the transformation as irrelevant or forced, leading to fear, resistance, and reversion to old habits.

How many people should be directly involved in the change effort? McKinsey research, shown below, finds that involving at least 7 percent of employees as transformation initiative owners significantly increases the likelihood of outperforming sector and geographic stock indices. This 7 percent can represent hundreds of fully engaged employees, a number far above the average 2 percent involvement in most organizations.

Figure 5. McKinsey Transformation Employee Involvement Study Results

While the number of employees involved will vary with the initiative’s scope and complexity, the principle remains clear: early, meaningful involvement drives success.

Aligning Incentive Systems

Aligned incentives, such as rewards, recognition, approval, and status, play a vital role in shaping behavior and reinforcing organizational culture. Innovation, which relies on collaboration across diverse teams, succeeds when incentives align with company, business unit, product line, and project goals.

Adjusting incentive systems in established companies is challenging, as these systems are deeply rooted in organizational culture and long-standing practices. Changes often face resistance from employees concerned about fairness or uncertainty. Balancing short-term performance goals with long-term strategic priorities adds complexity, requiring careful re-calibration to prevent misaligned priorities or unintended consequences.

Effective incentive systems must align with corporate strategy. Too often, a gap exists between a company’s innovation investments and its growth ambitions. Leaders driven by quarterly targets tend to prioritize safe, short-term innovation projects, resulting in an over-reliance on incremental improvements that hinder long-term growth and increase vulnerability to disruption. Successful companies link growth strategy to a balanced innovation project portfolio optimized across growth horizons.

A major challenge for companies enhancing their innovation capabilities is transitioning from siloed functional objectives to a model of team-based accountability. In this approach, team members share responsibility for product success, fostering a culture of mutual accountability. Leading organizations tackle this shift by restructuring reward systems to prioritize team performance. For example, they evaluate more than half of a team member’s performance based on peer feedback and project outcomes, ensuring that contributions to collective success are properly recognized.

However, even with the right structural changes, incentives can still fall short if they don’t resonate with employees. Many leaders unintentionally mis-align rewards with what employees truly value, leading to disengagement rather than motivation. As Jennifer Chojnacki, Executive Director, Innovation & New Product Introduction at Carrier Corporation, explains, “Incentives are a tough topic. I see leaders get this wrong more often than they get it right, offering unrealistic rewards that can’t be fulfilled or mis-aligning incentives with what employees actually value. Too often, leaders assume their own motivations apply universally, rather than taking the time to understand what truly drives their teams.”

Financial incentives, while important, must support desired behaviors to avoid undermining transformation efforts. Misaligned rewards, such as prioritizing individual achievements over team success, can hinder collaboration and innovation. Thoughtful design ensures financial incentives complement non-financial rewards, fostering a culture where employees and teams feel both valued and motivated.

Aligning HR Systems

Aligning human resource (HR) systems with transformational change initiatives ensures that recruitment, training, rewards, and promotions support change objectives and reinforce cultural norms. Candidates are evaluated on their skills and alignment with organizational values, and employees are trained in expected behaviors. Career paths and promotions recognize those excelling in both performance and cultural fit, ensuring the organization’s values and change objectives are consistently upheld.

Successful companies also align recruitment strategies and career development to address skill gaps, enhance competencies, and teach new ways of working. Training programs are tailored to specific roles, including project team members, functional managers, and business leaders governing the innovation pipeline. Just-in-time training, meaning applied training on live projects, and role-playing exercises prove far more effective than traditional classroom methods for driving significant behavior and process changes.

To support recruitment and career progression, organizations establish clear role expectations that extend beyond standard job descriptions. These expectations define the skills, capabilities, and success criteria for roles within innovation teams, functional management, and portfolio management.

By aligning HR systems with initiative goals, organizations create a unified approach to change. This empowers employees to embrace the desired culture, building a strong foundation for sustainable innovation and long-term success.

Reinforcing Through Signals, Symbols, & Rituals

In transformational initiatives, organizations establish clear behavioral expectations to signal shared values and emphasize cultural evolution. Celebrating individuals who embody these values reinforces desired behaviors, while symbols like unique language or rituals foster belonging and alignment with the organization’s identity. These elements embed cultural messages throughout the initiative, ensuring consistent reinforcement.

Cultural alignment is strengthened by the tone and actions of senior leaders, whose influence shapes innovation teams and their approach to challenges. During project funding reviews, for instance, leaders can demonstrate trust and foster accountability through the questions they ask and the perspectives they promote. Instead of demanding, “Pull in your schedule,” they might ask, “What would it take to pull in your schedule?” This subtle shift in tone signals confidence in the team’s ability to evaluate tradeoffs and make informed recommendations. In customer-centric cultures, directives like “Start development as soon as possible” give way to “Ensure unmet customer needs are fully understood before advancing to development.” Similarly, leaders foster progress by re-framing early innovation project failure as rapid learning, celebrating cost savings when un-viable projects are identified and cancelled prior to full-scale development.

The use of distinctive language further encapsulates cultural values and reinforces the organization’s identity. Phrases like “customer obsession” or “bias for action” become part of daily conversations, serving as constant reminders of priorities. Successful companies also adapt leading innovation practices, such as lean startup, design thinking, and Agile, to suit their unique needs and culture. Instead of rigidly adhering to a single approach, they tailor terminology and processes to align with their organizational context.

Sustaining Momentum and Long-Term Commitment

Large, established companies often underestimate the effort required to achieve lasting success and embed it into the organization. Transforming the way a company innovates impacts every function and management level, necessitating significant cultural change. This is challenging because employees have operated within the existing culture for years. Some may perceive the initiative as a threat to their power and authority, while others may strongly resist any deviation from the status quo. Moreover, these changes must be implemented without disrupting daily operations.

Transformation is an ongoing process, not just a destination. While early results can emerge within months, providing momentum for the initiative, full internalization of the changes takes years. Successful rollout and adoption require all innovation teams and their leaders to experience the new processes and learn how to integrate them into their daily routines. The transformation unfolds gradually as success builds credibility and reinforces the new approach.

As Bridget Sheriff, VP of Engineering at Carrier Corporation, puts it, “I learned long ago that you never get something for nothing—true transformation demands relentless effort and stamina. Lasting change isn’t achieved through sporadic bursts of energy; it’s a journey that requires persistence, resilience, and a willingness to push through resistance. People are naturally inclined to stick with what they know, so shifting mindsets and behaviors takes time, trust, and continuous reinforcement.”

Start with the fundamentals, demonstrate success, build momentum, be willing to evolve as you learn, and layer in advanced processes, techniques, and tools over time. Leaders with a short-term outlook will struggle to sustain the necessary support for this long-term effort. Moreover, inconsistent effort, fluctuating funding, and repeated starts and stops will undermine progress and lead to change fatigue.

This is why leaders must embrace transformation as a long-term commitment, prioritizing continuous improvement, fostering a culture of learning and adaptability, and celebrating each stage of value realization. By sustaining momentum and consistently reinforcing the value of change, they can prevent complacency and drive lasting success.

Conclusion

Transforming innovation processes in large, established companies is no small feat, but the rewards of a cohesive, adaptive, and innovation-driven culture are immeasurable. The experiences shared in this article illuminate the power and complexity of cultural transformation, highlighting both the potential for extraordinary progress and the pitfalls that can derail well-intentioned efforts.

The keys to successful transformation demonstrate that success lies not in isolated actions but in a carefully orchestrated, holistic approach. From the unwavering commitment of leadership to the deep engagement of employees, aligned reward systems, compelling cultural narratives, supportive HR systems, and a commitment to stay the course, every lever plays a vital role in driving sustainable change.

However, true transformation goes beyond implementing processes and frameworks; it demands a steadfast dedication to consistency, collaboration, and learning. It calls for organizations to move beyond short-term wins to foster an enduring culture of innovation that can withstand market pressures and disruptions. Leaders must be relentless in their alignment, employees must feel empowered to design and execute the change, and integration must take precedence over fragmented solutions.

As Tobi Karchmer, Chief Medical and Scientific Officer for Baxter International, explains, “Transforming innovation capability isn’t just about changing processes, it requires shifting deeply ingrained mindsets. Without addressing cultural barriers, even the most well-designed initiatives will struggle to take hold and deliver meaningful impact.”

The lessons outlined here provide a roadmap for companies embarking on similar journeys. By embracing both the successes and the missteps, organizations can navigate the challenges of transformation and position themselves as innovation leaders. In the end, the path to innovation excellence may be complex, but it is a journey well worth taking for the organization, its employees, and the customers who value their breakthroughs.

References

  1. Laura London, Stephanie Madner, and Dominic Skerritt, “How many people are really needed in a transformation?” McKinsey Insights, 2021
  2. Daniel Coyle, The Culture Playbook: 60 Highly Effective Actions to Help Your Group Succeed, 2022
  3. Charles O’Reilly, “How Microsoft Transformed Its Culture,” Management and Business Review, Volume 4, Issue 1, 2024

Related articles for a deeper dive on the topic:

  1. “Pizzas, Minivans, and the Innovation Core Team,” Mind the Product, 2018
  2. “Innovation Process Design and Software Tool Enablement,” PDMA Visions, Issue 2, 2014, Volume 38, 2014
  3. Noel Sobelman and Tony Ulwick, “Outcome-Driven Venturing: Build the Right Solutions and Build Them Right,” The Marketing Journal, 2021
  4. “The Journey Toward World Class Innovation: 5 Keys to Successful Implementation,” 2022
  5. “Innovation Project Governance Do’s & Don’ts,” 2022

Image credits: Noel Sobelman, McKinsey, Pixabay

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How Innovation Tools Help You Stay Safe

Risk Management in Uncertain Times

How Innovation Tools Help You Stay Safe

GUEST POST from Robyn Bolton

Risk management is critical in uncertain times. But traditional approaches don’t always help when volatility, ambiguity, and complexity are off the charts.

What many leaders overlook in their rush to safety is that many of the most effective tools for managing risk come from an unexpected place: innovation.

The Counterintuitive Truth About Risk Management

Risk Management’s purpose isn’t to eliminate risks. It’s to proactively identify, plan for, and minimize risk.  Innovation is inherently uncertain, so its tools are purpose-built to proactively identify, plan for, and minimize risk.  They also help you gain clarity and act decisively—even in the most chaotic environments.

Here are just three of the many tools that successful companies use to find clarity in chaos.

Find the Root Cause

When performance dips, most leaders jump to fix symptoms. True risk management means digging deeper. Root cause analysis—particularly the “5 Whys”—helps uncover what’s really going on.

Toyota made this famous. In one case, a machine stopped working. The first “why” pointed to a blown fuse. The fifth “why” revealed a lack of maintenance systems. Solving that root issue prevented future breakdowns.

IBM reportedly used a similar approach to reduce customer churn. Pricing and product quality weren’t the problem—friction during onboarding was. After redesigning that experience, retention rose by 20%.

Focus on What You Can Actually Control

Trying to manage everything is a recipe for burnout. Better risk management starts by separating what you can control, what you can influence, and what you can only monitor. Then, allocate resources accordingly.

After 9/11, most airlines focused on uncontrollable external threats. Southwest Airlines doubled down on what they could control: operational efficiency, customer loyalty, and employee morale. They avoided layoffs and emerged stronger.

Unilever used a similar approach during the global supply chain crisis. Instead of obsessing over global shipping delays, they diversified suppliers and localized sourcing—reducing risk without driving up costs.

Attack Your “Deal Killer” Assumptions

Every plan is based on assumptions. Great risk management means identifying the ones that could sink your strategy—and testing them before you invest too much time or money.

Dropbox did this early on. Instead of building a full product, they made a simple video to test whether people wanted file-syncing software. They validated demand, secured funding, and avoided wasted development.

GE applied this logic in its FastWorks program. One product team tested their idea with a quick prototype. Customer feedback revealed a completely different need—saving the company millions in misdirected R&D.

Risk Management Needs Innovation’s Tools for a VUCA World

The best risk managers don’t just react to uncertainty—they prepare for it. These tools aren’t just for innovation—they’re practical, proven ways to reduce risk, respond faster, and make smarter decisions when the future feels murky.

What tools or strategies have helped you manage risk during uncertain times? I’d love to hear in the comments.

Image credit: Pexels

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