Category Archives: Leadership

Your 3 Phase AI Journey

Your 3 Phase AI Journey

GUEST POST from Geoffrey A. Moore

As companies move from experimenting with GenAI to deploying for real ROI, executives should plan for three phases of development along the following lines:

Phase One: Optimize your operating model. This is the one everyone gets right away. Every business process is encumbered by ‘stupid stuff’ — low-value-adding tasks that are “how we do business around here.” These are all candidates from process re-engineering, but in the meantime, people have to work through them or around them to get anything done. RPA (Robotic Process Automation) can solve for the ones that are routine. GenAI expands the aperture to include those that demand creating situation-specific text, the sort of thing that would answer an FAQ, nudge a prospect to take a call, or check in on users that are at risk of churning out. Expediting this sort of work is a no-regrets move, entailing little risk while generating modest ROI.

Phase Two: Upgrade your infrastructure model. While you will likely start your Phase One journey leveraging out-of-the-box GenAI from Microsoft, Google, or Amazon, as you get deeper into it, you will want to add RAG (Retrieval-Augmented Generation) to the mix. Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model so it references an authoritative knowledge base outside of its training data sources before generating a response. Basically, it taps into confidential in-house knowledge stores, as well as any external sources that provide expertise specific to your business, to build a more effective prompt for the public GenAI to leverage. Coordinating the APIs, keeping the guard rails on the process, and capturing the reusable knowledge gained will all require additional investment in your in-house IT capabilities.

Phase Three: Revisit your business model. Sooner or later, AI is going to materially disrupt the way business is done in your industry, eliminating old sources of trapped value while creating new ones at the same time. Customers will still look to your company to help them achieve their business outcomes, but they will be paying for different things than they pay for today. Consultancies and legal firms, for example, can expect to re-engineer their billable hour model, financial services their transaction fee model, and search engines their sponsored-ad model. The larger your enterprise, the more disruptive this is likely to be, so this would be a good time to test out new models in your Incubation Zone.

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

Image Credit: Geoffrey Moore

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Use Failure as Rocket Fuel for Success Like SpaceX

Use Failure as Rocket Fuel for Success Like SpaceX

GUEST POST from Robert B. Tucker

SUMMARY: SpaceX’s early success, despite three rocket failures, exemplifies how embracing setbacks as learning opportunities drives innovation. Elon Musk fostered a culture of rapid “test, learn, redesign,” where organizational risks, not individual blame, fueled progress. This approach, contrasting with the common fear of mistakes, allowed SpaceX to overcome near collapse and achieve orbit. The article argues that true failure isn’t making errors, but failing to learn from them. Leaders must create environments encouraging prudent risk-taking, where post-mortems focus on lessons, not culprits. Adopting “fail fast and fail cheap” through small experiments helps organizations learn quickly, transforming setbacks into wisdom and better decisions for ultimate success.

Before SpaceX became one of the most valuable companies in the world, it suffered three consecutive rocket failures. By 2008, Elon Musk had invested nearly everything he had. The fourth launch wasn’t merely important — it was a matter of survival.

After Falcon 1 failed three consecutive times between 2006 and 2008, Musk did not conduct a witch hunt. Heads did not roll. Instead, he assembled his engineers, dissected the technical causes, and focused relentlessly on fixing problems and building morale before the next launch. The emphasis was always on emphasizing rapid learning and pushing ahead.

The successful fourth Falcon 1 launch took place on September 28, 2008. On that flight, Falcon 1 became the first privately developed liquid-fueled rocket to reach Earth’s orbit, a milestone many experts had considered nearly impossible for a startup company.

Had Falcon 1 failed a fourth time there might be no SpaceX today. Instead, that launch succeeded, NASA came calling, and a company that was weeks from collapse began its ascent toward bending history.

The lesson for leaders is profound: if you want people to innovate, you must create an environment where failure is an option, and where prudent risk-taking and rapid learning pervade your culture. SpaceX routinely tested rockets knowing they might explode because Musk believed real-world learning happened faster than endless analysis.

Early on, the fledgling start-up adopted a rapid “test, learn, redesign” cycle rather than trying to eliminate every possible risk before launch. Each unsuccessful launch produced engineering insights that were incorporated into the next design. In that sense, the first three launches were not really failures at all. They were expensive tuition payments on the road to success.

Take Away the Safety Net

Another of Elon Musk’s most important innovations wasn’t technological at all. It was organizational. In an industry long dominated by cost-plus contracts, where the federal government pays defense contractors for effort and expenses, plus a guaranteed margin of profit, regardless of results. Instead, Musk embraced milestone-based agreements with the government that essentially said, “Only pay us when we succeed.”

Taking away the safety net created enormous pressure on SpaceX. But it also unleashed extraordinary creativity and drive. Engineers were encouraged to think boldly, challenge “that’s the way we’ve always done it” thinking, and test ideas rapidly. The risks were borne by the organization, not by individual engineers. As a result, failure became rocket fuel rather than stigma.

One of the defining challenges facing young people today is an exaggerated fear of failure. Research shows that today’s students are significantly more anxious about making mistakes than previous generations. Many have come to believe that one wrong decision can derail a career, a reputation, or a future.

In today’s organizations, failure has become a taboo topic. We fear it. We hide it. We spend enormous amounts of energy trying to avoid it. Employees learn quickly which mistakes are acceptable and which ones can damage careers. As a result, people become cautious. They play defense instead of offense. They stop experimenting and growing in their careers. Obsolescence sets in.

Yet history tells us a different story. Almost every meaningful achievement — whether in business, innovation, politics, science, or personal growth — has been preceded by setbacks, disappointments, and outright failures.

Thomas Edison famously tested thousands of materials before finding a workable filament for his electric light bulb. When asked about his failures, he replied that he hadn’t failed at all. He had simply discovered thousands of ways that didn’t work.

Abraham Lincoln’s early career reads like a catalog of disappointments. He lost elections, suffered business failures, endured personal tragedies, and faced repeated public setbacks. Yet those experiences shaped the resilience and wisdom that ultimately carried him to the presidency during one of the most difficult periods in American history.

The lesson is not that failure is desirable. The lesson is that failure is often the price of admission for meaningful success.

The first step toward building a healthier attitude toward failure is being able to talk about them. I was fired from a dead-end corporate job early in my career and for years I hid my shame. Nowadays I realize I wasn’t fired but fired up! I realized that if I was ever going to become a self-supporting independent journalist, that I should seize that moment and dive in. I went on to become an expert in innovation, and a lucrative career that has taken me all over the world.

What I’ve found in teaching managers how to drive growth through innovation is that when mistakes are hidden, their value is lost. Others cannot learn from them. Valuable insights remain trapped inside individuals or departments. The organization pays the cost of the mistake but receives none of the educational benefit.

What I teach is that when there is a “failure,” that’s a good time to conduct a post-mortem after unsuccessful projects. Ask simple questions: What happened and why? What assumptions proved wrong? What can we learn? Most importantly, objective in-depth debriefs remove blame from the discussion. The goal is not to identify a culprit. The goal is to uncover lessons.

Organizations that openly discuss failures build institutional wisdom. Organizations that conceal failures repeat them.

True failure, therefore, is not making a mistake. True failure occurs when we fail to learn from mistakes — either our own or those of others.

Every industry is littered with examples of organizations that ignored warning signs that should have been visible to management. Kodak invented much of the technology behind digital photography yet failed to act on what it had learned. Blockbuster dismissed the significance of streaming. Nokia allowed a top down, risk adverse culture to congeal such that, when the iPhone hit the market, they were unable to pivot fast enough. Countless companies have repeated mistakes that competitors had already paid dearly to discover.

The most successful professionals cultivate the opposite habit. They become students of failure. They study what went wrong, why it went wrong, and how similar mistakes can be avoided in the future.

The risks associated with failure must be borne by the organization, not by individuals within the organization. When employees feel that every unsuccessful initiative could become a career-limiting event, innovation dies. Fear becomes the dominant operating system.

Leaders must create environments where people know that responsible experimentation is encouraged and protected. That does not mean tolerating carelessness or repeated mistakes. Accountability still matters. Preparation still matters. Execution still matters.

But when a well-conceived initiative fails despite thoughtful planning and diligent effort, the organization should absorb the risk and harvest the lessons.

People should not have to choose between innovation and job security.

This brings us to one of the most useful principles in modern business: fail fast and fail cheap.

Rather than investing years and millions of dollars pursuing untested assumptions, successful organizations run small experiments. They test ideas early. They gather feedback quickly. They adjust before costs escalate.

A small failure today can prevent a catastrophic failure tomorrow.

Think of it as buying information. Every experiment produces data. Some experiments confirm assumptions. Others disprove them. Both outcomes are valuable because they reduce uncertainty and improve future decisions.

The organizations that learn the fastest often outperform those with the greatest resources.

Ultimately, success is not achieved by avoiding failure. Success is achieved by creating systems that transform failure into learning, learning into wisdom, and wisdom into better decisions.

Edison understood this. Lincoln understood this. Musk understood this. Every accomplished entrepreneur, inventor, executive, and leader eventually learns the same lesson. Failure itself is rarely fatal. Refusing to learn from it often is.

The organizations that thrive in the future will not be those that make the fewest mistakes. They will be the ones that learn the fastest, adapt the quickest, and create cultures where intelligent risk-taking is not feared but encouraged.

After all, the opposite of failure is not success. The opposite of failure is learning.

This article originally appeared in Forbes

Image credit: Wikimedia Commons

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4 Simple Rules That Make You Exponentially More Effective and Productive

4 Simple Rules That Make You Exponentially More Effective and Productive

GUEST POST from Greg Satell

Shortly after I first arrived at college, my wrestling coach told my teammates and me that we would all be attending a freshman technique camp. It turned out to be something quite different than what I had expected. He didn’t teach us any advanced or esoteric method, but instead demonstrated the basics.

It was incredibly humbling. The fact that we were there in the first place, competing for a Division 1 program, meant that we had all demonstrated outstanding accomplishment. And now we were supposed to revisit the stuff we learned in peewee programs? It seemed insulting at first, but turned out to be one of the best lessons I’ve ever learned.

The truth is that in any endeavor, you are only as good as your fundamentals. While it’s easy to get enamored with grand strategies and fancy tactics, whether you succeed or fail is far more likely to depend on doing simple, basic things consistently well. In much the same way, I’ve found that simple rules can, if applied sensibly, help make you incredibly effective.

1. Play, “Hey Jude”

Paul McCartney wrote hundreds of songs in his career. Many were hits, but others were more obscure. One that was sure to please crowds was the classic “Hey Jude.” He first wrote the song in 1968, to comfort five-year old Julian Lennon during his parent’s divorce and I’m sure that over the years the former Beatle got tired of singing it. But he continued to perform it because he knew that’s what his fans wanted.

Clients often ask me whether I can create a new keynote or a workshop for them. Michael Port, a top coach in the speaking industry, explains why that is almost always a bad idea. Would you like a doctor to perform the same surgery on you that she has successfully done hundreds of times before, or try something different this time?

One of the things that has amazed me over the years, in myself and in others, is our urge to do something different for difference’s sake. Doing the same old thing time and time again gets boring, which is why as successful high school wrestlers we wanted to learn fancier techniques and didn’t focus on our fundamentals as we should have.

We need to learn to play our own personal “Hey Jude’s.” It may seem old and tired, but it’s what we’re good at and, if it does the job we need it to, we should keep at it. That doesn’t mean we don’t continue to experiment and learn new things. But we have to remember to always play the hits.

2. Talent Is Overrated

One of the most common questions I get asked by senior managers is “How can we find more innovative people?” I know the type they have in mind. Someone energetic and dynamic, full of ideas and able to present them powerfully. It seems like everybody these days is looking for an early version of Steve Jobs.

Yet the truth is that today’s high value work is not done by individuals, but teams. It wasn’t always this way. The journal Nature noted that until the 1920’s most scientific papers only had a single author, but by the 1950s that co-authorship became the norm and now the average paper has four times as many authors as it did back then.

To solve the kind of complex problems that it takes to drive genuine transformation, you don’t need the best people, you need the best teams. That’s why traditional job descriptions lead us astray. They tend to focus on task-driven skills rather than collaboration and human skills. We need to change how we evaluate, recruit, manage and train talent.

Talent isn’t something you hire or win in a war, it’s something you empower. It depends less on the innate skills of individuals than how people are supported and led. As workplace expert David Burkus puts it, “talent doesn’t make the team. The team makes the talent.” Skills and teamwork are developed over time.

So if you’re disappointed with the level and talent in your organization, the questions you need to ask are: “How can I better empower people to do their best work?” “What do I reward and what do I punish?” “Am I asking people to do what I want or inspiring them to want what I want?”

3. Find A “Hair on Fire” Use Case

Good operational managers learn to identify large addressable markets. Bigger markets help you scale your business, drive revenues and allow you to invest back into operations to create more efficiency. Greater efficiencies lead to fatter profit margins, which allow you to invest even more on improvements, creating a virtuous cycle.

Yet when you are doing something new and different, trying to scale too fast can kill your business even before it’s really gotten started. A truly revolutionary product is unpredictable because, by its very nature, it’s not well understood. Charging boldly into the unknown is a sure way to run into unanticipated problems that are expensive to fix at scale.

A better strategy is to identify a hair on fire use case — someone who needs a problem fixed so badly that they are willing to overlook the inevitable glitches. They will help you identify shortcomings early and correct them. Once you get things ironed out, you can begin to scale for more ordinary use cases.

For example, developing a self-driving car is a risky proposition with a dizzying amount of variables you can’t account for. However, a remote mine in Western Australia, where drivers are scarce and traffic nonexistent, is an ideal place to test and improve the technology. In a similar vein, Google Glass failed utterly as a mass product, but is getting a second life as an industrial tool. Sometimes it’s better to build for the few than the many.

4. Anticipate Failure

Starting a new venture or initiative is always exciting. Pregnant with possibility and hope, the sky seems like the limit and the last thing you want to think about is things going wrong. Yet neglecting to anticipate failure is one sure way to decrease your chances of success.

That’s why when we first start working with a team on an organizational transformation, we ask them to imagine someone possessed by an evil demon. How would such a person try to derail the initiative? What dirty tricks might they pull? What would they lie about? We ask this not because we think that there’s actually people possessed by evil demons, but because it helps executives imagine things that could go wrong

There is, in fact, no shortage of tools that can help to uncover flaws in your plans. Pre-mortems force you to imagine specific ways a project could fail. Red Teams set up a parallel group specifically to look for flaws. Howard Tiersky, CEO of the digital transformation agency From Digital and author of the Wall Street Journal bestseller Winning Digital Customers, often uses de Bono’s Six Thinking Hats to help the team take different perspectives.

When we deconstruct failed initiatives, the problem is rarely one of ambition, energy, hard work or even acumen, but rather a lack of imagination. You can evaluate and analyze all you want, but chances are what kills your venture or initiative will be something that you didn’t see coming and didn’t account for.

For any significant endeavor, learning to anticipate failure is a key success skill. Or, as Andy Grove put it: “Success breeds complacency. Complacency breeds failure. Only the paranoid survive.”

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

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Avoiding the Coming Cliff

Avoiding the Coming Cliff

GUEST POST from Mike Shipulski

Much like living organisms continually evolve to secure their place in the future, technological systems can be thought to display similar evolutionary behavior. Viruses mutate so some of them can defeat the countermeasures of their host and live to fight another day. Technological systems, as an expression of a company’s desire to survive, evolve to defeat the competition and live to pay another dividend.

There are natural limits to evolutionary success in any single direction. When one trait is improved it pushes on the natural limits imposed by the environment. For example, a bacterium let loose in a friendly Petri dish will replicate until it eats all the food in the dish. Or, on a longer timescale, if the mass of a bird increases over generations when its food source is plentiful, the bird will get larger but will also get less agile. The predators who couldn’t catch the fast, little bird of old can easily catch and eat the sluggish heavyweight. In that way, there’s an edge condition created by the environmental Petri dishes and predators. And it’s the same with technological systems.

Companies and their technological systems evolve within their competitive environment by scanning the fitness landscape and deciding where to try to improve. The idea is to see preferential lines of improvement and create new technologies to take advantage of them. Like their smaller biological counterparts, companies are minimum energy creatures and want to maximize reward (profit) with minimum effort (expense) and will continue to leverage successful lines of evolution until it senses diminishing returns.

The diminishing returns are a warning sign that the company is approaching an edge condition (a Petri dish of a finite size). In landscape lingo, there’s a cliff on the horizon. In technology lingo, the rate of improvement of the technology is slowing. In either language, the edge is near and it’s time to evolve in a new direction because this current one is out of gas.

Like the bird whose mass increases over the generations when food is readily available, companies also get fat and slow when they successfully evolve in a single direction for too long. And like the bird, they get eaten by a more agile competitor/predator. And just as the replication rate of the bacterium accelerates as the food in the Petri dish approaches zero, a company that doesn’t react to a slowing rate of technological improvement is sure to outlive its business model.

Biology and technology are similar in that they try new things (create variants of themselves) in order to live another day. But there’s a big difference – where biology is blind (it doesn’t know what will work and what won’t), technology is sighted (people that create use their understanding to choose the variants they think will work best). And another difference is that biological evolution can build only on viable variants where technology can use mental models as scaffolds to skip non-viable embodiments to cross a chasm.

There’s no need to fall off the cliff. As a leading indicator, monitor the rate of improvement of your technology. If its rate of improvement is still accelerating, it’s time to develop the next line of evolution. If its rate is declining, you waited too long. It’s time to double down on two new lines of evolution because you’re behind the curve. And remember, like with the population of bacteria in the Petri dish, sales will keep growing right up until the business model runs out of food or a competitor eats you.

Image credits: Pixabay

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CX Leadership Insights from Disney, Ritz-Carlton and MasterCard

CX Leadership Insights from Disney, Ritz-Carlton and MasterCard

GUEST POST from Shep Hyken

If you look up the definition of customer experience in the dictionary, you might find a picture of Lance Gruner, whose leadership, customer service and CX training come from his stints at some of the most recognizable brands on the planet, including Disney, The Ritz-Carlton and MasterCard, where he served as executive vice president of global customer care in his most recent role.

After retiring from MasterCard earlier this year, Gruner decided to share the lessons he learned from a lifetime of leadership and customer experience in his new book, Ten Things They Hate About You: A CX Playbook for Leaders. If keeping customers is important to you — and you know it is — then this is the next book you want to read.

I interviewed Gruner on an episode of Amazing Business Radio, and we talked about some of the most valuable lessons he learned from working for those iconic brands.

1. Walk the Property

Gruner says, “Today, a lot of leaders make decisions from the boardroom, but they rarely experience their customers’ friction points firsthand.” He learned the importance of “walking the property” from his days at the Ritz-Carlton, where he would walk through the hotel daily and notice what guests were seeing, smelling and experiencing. This “walk the property” ritual applies to any type of business. It simply means stepping outside of the office to buy and use the products you sell, just as a customer would. Or calling the company to ask a question during busy times. Observe the experience from the customer’s point of view. To make good decisions, you must experience what customers experience.

2. Pick Up the Trash

Employees pay attention to their leaders, and they notice everything. One of the most powerful leadership principles Gruner shared was how leaders teach everyone else how to act at work. We talked about his days at Disney and how Walt Disney used to walk the property. All cast members (Disney’s term for employees) paid close attention to Mr. Disney. They noticed whether he walked by a piece of trash or stooped down to pick it up and throw it away. Gruner says, “If a leader walks past a piece of paper on the ground and doesn’t pick it up, you condone that activity.” In other words, as a leader, you are giving permission for your employees to do the same. Picking up trash is a metaphor. Make sure the behaviors you model are the ones you want your team to repeat.

3. Pay Attention to Details

Small details make a big difference. It’s often the little things customers remember. Gruner insists that companies pay attention to every touchpoint, no matter how minor, to find opportunities to enhance the experience and earn a customer’s trust. Details aren’t just details. They can be the difference between losing a customer or creating a fan for life.

4. Automate Where You Can

One of my favorite questions to ask high-level execs in the CX world is whether or not AI will take away jobs. Every one of them has said, “No,” and Gruner agrees, saying, “AI is going to automate the simple things that you currently have your team doing, freeing up time for them to really take care of customers.” By removing the simple, mundane tasks, employees have more time to focus on complex issues and do what AI can’t do, which is old-fashioned human-to-human relationship building.

5. The Top Reason a Customer Hates You

Hate is a strong word. Using that word implies customers do not want to do business with you. To wrap up our interview, I asked for one lesson from his book, Ten Things They Hate About You, that we must know. His answer was quick, simple and something we already know (and have probably experienced). It’s having to deal with untrained and unempowered employees. When companies look to cut costs, one of the first areas they cut is training. Yes, taking people away from their normal productive responsibilities to train them is expensive, but what happens when you don’t? What happens when a customer interacts with an employee who hasn’t been properly trained or doesn’t have the knowledge to help the customer resolve their problem? We know what happens … the customer disappears.

Final Words

Customer experience isn’t built in a boardroom. It’s built where your customers live, buy and interact with your brand. Gruner’s insights remind us that the best leaders stay close to the front line, empower their people and never stop paying attention to the little things. That’s how you turn ordinary moments into extraordinary ones, and keep your customers saying, “I’ll be back!”

This article was originally published on Forbes.com.

Image Credit: Shep Hyken

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Motivating the Unmotivated

Motivating the Unmotivated

GUEST POST from David Burkus

Motivation can vary wildly on a team. At any given time, a few people might be highly motivated, while others are totally unmotivated. Ideally, there are times where everyone is motivated at once, but sadly there may be times when everyone is demotivated or burnt out. All this means that an inescapable part of a leader’s job is to motivate the unmotivated.

The good news is that leaders don’t have to rely on raw charisma or the inspirational words of a halftime speech from insert-your-favorite-sports-movie-here. Instead, motivation is less about the qualities of the leader and more about understanding the needs of the team and of each individual on the team.

In this article, we’ll outline five ways to motivate the unmotivated.

Change Up Tasks

The first way to motivate the unmotivated is to change up tasks. Novelty can be a powerful motivator, and the lack of novelty in a job can be demotivating. Few people get excited about coming to work and repeating the same few tasks over and over again. People want new experiences and new challenges. They want to feel that they’re making progress and they often judge that progress based on the projects they’re being given and whether those projects require them to learn new skills or merely execute the same routine functions.

As a leader, this means examining the task list of your motivated team members. Are they doing the same old over again or are they being given new, growth-inducing tasks and projects to work on. You may not be able to change their job description, but you can help them find new learning opportunities or ask them to sit in on meetings they’re not regularly a part of. Even a little novelty can go a long way toward restoring motivation.

Build New Bonds

The second way to motivate the unmotivated is to build new bonds. Over four decades of research have made a compelling case that relatedness is an essential element of intrinsic motivation. People want to feel cared for and feel that their work cares for others. They want to feel connected to the people their work serves and the people they work alongside. And if they feel disconnected or isolated from the team or the customers/stakeholders of an organization, they can become unmotivated.

As a leader, there are two ways to utilize relatedness to motivate the unmotivated. The first is to make sure team members feel connected to each other, most often by making time for socialization and connection through non-work discussions. (The second we’ll cover in a moment.) It may seem like a waste of time, but social functions, icebreakers, or any other activities where people talk about their lives outside of work create opportunities for stronger connections to form. And there’s a strong connection between social connection and motivation.

Re-frame The Work

The third way to motivate the unmotivated is to re-frame the work. As discussed above, knowing how your work serves others can be a powerful motivator. But for many jobs, teams are so far removed from the end customers or even from other teams who benefit from their work that they lose sight of how their work makes a difference. Their work loses task significance, and their motivation quickly follows. And the larger the organization, the harder it is to keep task significance.

As a leader, restoring task significance and relatedness requires re-framing the work or rebuilding connections to those who benefit directly from your team’s work. This could be by bringing customers in to meet your team, or by sharing thank you notes or stories of how the team’s tasks enabled others to work or live better. The test for whether your team needs a re-frame is how quickly they can answer the question “Who is served by the work that we do?” And if they can’t find an answer fast, they likely can’t find their motivation either.

Provide More Feedback

The fourth way to motivate the unmotivated is to provide more feedback. Ken Blanchard was right, “feedback is the breakfast of champions.” We already covered how a feeling of growth and development contributes to motivation. But without regular feedback, your people don’t know what to improve upon—or if they’re improving. As well-intentioned as annual reviews are, they are not a sufficient source of feedback to keep people motivated to improve. Instead, try regular check-ins and feedback sessions both individually and as a team.

As a leader, it’s important to note the distinction between providing sufficient feedback and becoming a micromanager. As people grow and develop in their role, feedback should shift from telling people how to do specific tasks and towards coaching them to solve problems they’re already equipped to solve. In the beginning, provide feedback to help them grow. But as they develop, provide feedback that helps them notice their growth.

Watch The Stress

The fifth way to motivate the unmotivated is to watch the stress. Most leaders know that too much stress can demotivate anyone. But too little stress can be demotivating as well. Psychologist have long known about a concept called eustress—the sweet spot of stress where the demands of the moment match their ability and capacity. Too much demand leads to distress and burnout, but too little demand leads to boredom and…burnout.

As a leader, watching the stress means monitoring your team’s capacity so that they don’t get overloaded. In which case, you’ll want to find ways to offload certain projects or otherwise reduce the workload. But it also means watching each individual on your team for signs that they’re not being challenged enough. In which case, you’ll want to consider other methods in this article for ways to help them feel more growth and challenge in their work. In either case, the goal is to continue to make adjustments and continue to watch the stress, to bring it back to that eustress level.

And monitoring and making adjustments is really the ideal for each of these methods to motivate the unmotivated. Because motivation is individual. It’s felt on an individual level. Which means increasing motivation requires knowing each person individually and continuing to monitor their motivation levels for individual adjustments that need to be made. But when you do, it will raise the overall motivation on your team, and raise the level of performance until everyone on the team can do their best work ever.

Image credit: 1,300+ free quotes for your presentations at http://misterinnovation.com

Originally published at https://davidburkus.com on January 2, 2023.

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Thinking From No to Yes for Top Line Growth

Top line growth strategies and product applicability frameworks

GUEST POST from Mike Shipulski

Bottom line growth is good, but top line growth is better. But if you want to grow the bottom line, ignore labor costs and reduce material costs. Labor cost is only 5-10% of product cost. Stop chasing it, and, instead, teach your design community to simplify the product so it uses fewer parts and design out the highest cost elements.

Where the factory creates bottom line growth, top line growth is generated in the market/customer domain. The best way I know to grow the top line is to broaden the applicability of your products and services. But, before you can broaden applicability, you’ve got to define applicability as it is. Define the limits of what your product can do – how much it can lift, how fast it can run a calculation and where it can be used. And for your service, define who can use it, where it can be used and what elements without customer involvement. And with the limits defined, you know where top line growth won’t come from.

Radical top line growth comes only when your products and services can be used in new applications. Sure, you can train your sales force to sell more of what you already have, but that runs out of gas soon enough. But, real top line growth comes when your services serve new customers in new ways. By definition, if you’re not trying to make your product work in new ways, you’re not going to achieve meaningful top line growth. And by definition, if you’re not creating new functionality for your services, you might as well be focusing on bottom line growth.

If your product couldn’t do it and now it can, you’re doing it right. If your service couldn’t be used by people that speak Chinese and now it can, you’re on your way. If your product couldn’t be used in applications without electricity and now it can, you’re on to something. If your service couldn’t run on a smartphone and now it can, well, you get the idea.

For the acid test, think no-to-yes.

If your product can’t work in application A, you can’t sell it to people who do that work. If your service can’t be used by visually impaired people, you’re not delivering value to them and they won’t buy it. Turning can’t into can is a big deal. But you’ve got to define can’t before you can turn it into can. If you want top line growth, take the time to define the limits of applicability.

No-to-yes is powerful because it creates clarity. It’s easy to know when a project will create no-to-yes functionality and when it won’t. And that makes it easy to stop projects that don’t deliver no-to-yes value and start projects that do.

No-to-yes is the key element of a compete-with-no-one approach to business.

Image credits: Pixabay

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Is it Possible to be Incorruptible?

Is it Possible to be Incorruptible?

Exclusive Interview with Eric Ries

This candid, wide-ranging Q&A dives deep into what Eric Ries calls the “physics of organizations” — the hidden structural and financial forces that dictate whether a company thrives or decays over time. Moving past superficial business trends, the conversation tackles the intense psychological toll of entrepreneurship, the systemic flaws of shareholder primacy, and the historical reality of alternative corporate governance.

Over the last two decades, Eric Ries’ ideas about continuous innovation, long-term thinking, governance, and market reform have reshaped company building and management practices. He is the creator of the Lean Startup method, and the author of the New York Times bestseller The Lean Startup; The Leader’s Guide; and The Startup Way.

Eric RiesAs a founder, he has put his own ideas into practice with The Long-Term Stock Exchange (LTSE); Answer.AI, an AI R&D lab; Virgil, a legal services startup; and IMVU. On The Eric Ries Show, he talks with world-class technologists, thought leaders, and executives building for the long-term. He lives in the San Francisco Bay Area with his wife and three children. He is excited to announce his latest book Incorruptible: Why Good Companies Go Bad… and How Great Companies Stay Great.

Ries offers a provocative look at how truly resilient, mission-driven institutions can protect themselves from the gravitational pull of short-term financial systems to prioritize long-term human flourishing.

Below is the text of my interview with Eric and a preview of the kinds of insights you’ll find in Incorruptible presented in a Q&A format:

1. Why do purpose-driven companies create so much value for society?

The evidence shows that purpose driven companies outperform conventional companies financially as well as in almost any other dimension you care to measure, including the social dimension. Intuitively, this makes a lot of sense, because entrepreneurship is very difficult. Everyone says they know this, but I don’t think we really grapple with this fact nearly enough. If you just want to make money, there simply are better, more convenient ways than entrepreneurship. So to get not just the founder, but the early team, the early investors, all these people to take a risk to do this crazy thing generally requires some kind of extra-financial purpose or goal. Sometimes we call that vision, sometimes we call that, in a more demeaning way, strategy. But it’s also fine to call it purpose, which is really what intuitively makes the most sense to people that do this. This is one of those cases where intuition and the evidence agree, yet it is somehow still considered a controversial fact.

2. What were some of the most important lessons you absorbed during your time on the bathroom floor?

As I’ve been going around talking about the book, this is one of the stories that actually gets a very different reaction depending on whether I’m talking to an entrepreneur or somebody else. Entrepreneurs all recognize this moment, where I really thought my company was going to fail and I couldn’t handle it. A lot of non-entrepreneurs don’t get it. They’re like, “Why? It seems like a bit of an overreaction. Okay, you had a business setback. We’ve all had career setbacks — what’s the big deal?” But what you don’t realize until you’re in it is how much, especially if you’re doing something out of a sense of purpose or passion that’s personally meaningful to you, you start to identify with it and start to become inseparable from it. So that story is very important in the book because I learned a lot of important business lessons. I thought the company was going to die, but it didn’t. It survived precisely because of its mission, not in spite of it. I learned, in a very visceral way, about the forces, that prevent reform from coming to fruition in so many areas of our life, not just financial. And of course I learned a personal lesson about the importance of equanimity and the need to tackle the psychological and even spiritual dimensions of entrepreneurship if we’re going to create real change in the world.

3. How much chance is there of us getting companies to more broadly redefine profit to include elements of maximizing human flourishing?

This question reminds me of a of an incredible video of the great Steve Jobs before he died. He’s being interviewed at an industry conference at the time of the launch of the iPhone, when the Blackberry was the dominant smartphone in the world. It had something like 80 or 90% market share. A journalist asks this question something like, “Do you really think realistically you can take share from this dominant player?” And you can tell Steve is irked by this question, and I’m expecting because we all know his famous temper, that he’s going to lash out at the person. But he doesn’t. Instead, he says, “You know, that’s not really up to me. My job, our job at Apple, is to make the best phone we can, the one that we’re proud of. Market share is up to the customer. That’s their decision, their choice. We don’t think about that, we don’t know, and we don’t need to know in order to do our best work.” I’m paraphrasing because I haven’t seen this video in a long time, but that’s how I feel about this, too. I get this question a lot because people want to feel like, if I’m going to jump on the bandwagon, I want to know that it’s going to work. But the truth is none of us know what’s going to work, even those of us who advocate for these ideas. You, who’s reading this, are the only one who gets to decide if this is likely or unlikely. This is not what the economist John Maynard Keyes called a beauty contest. You don’t have to worry about what everyone else is going to do. You only have to decide for yourself if you think this makes sense to you. And if it does, well, like I said — like Steve said — it’s up to you.

4. As America becomes more capitalist and less of a free market economy, what steps can we take to reverse the regulatory capture, lawfare and other methods that degrade competition, purchasing power, class mobility and the American dream? Do we need a pCombinator? (purpose-driven company accelerator)

You’re asking questions about words that we no longer have consensus about what they mean. What is a free market economy? What is capitalism? What is regulatory capture? The very definition of these words is what’s under threat. If you look at the broader media landscape, the political landscape, in many, many pockets of our society now the very idea of a for-profit company is being attacked as inherently exploitative or extractive. The consensus that we used to have that we can be working commercially to improve the world and make it a better place, that used to be seen as quite obvious and now that whole idea is under threat. I don’t blame the people doing the attacking, especially the young people who have, after all, lived their whole lives, under this regime of a very extractive flavor of capitalism that goes by the anodyne-sounding name “shareholder primacy”. This is the simple idea that customers, employees, communities all exist as resources to be mined for the benefit of shareholders. But this question is also loaded with so many other political issues of our time that we are going to have to tackle if we’re going to come out of this darkness, as our grandparents who battled fascism once had to do. So, I don’t think it’s going to be as simple as fixing one thing. But I think that one of the things we have to do, among many, is build a power base, an economic gravity pulling towards the values aligned with human flourishing. And many of the political, economic, and social challenges of our time are downstream of this action in the same way that the catastrophes that we’re currently living through are downstream of what seem like very simple and relatively benign policy changes from the past century.

5. What should purpose-driven companies look for in a CEO as the company outgrows or outlives the founder(s)?

IncorruptibleThis is a really important part of the architecture of institutional longevity. Most companies fail the test of succession. The evidence seems to suggest that people who train and hire from within have a big advantage here. I think that is something we don’t even really teach anymore as a corporate value, but that is actually super valuable. There’s a reason why that old story of the employee that worked their way up from the mail room was such an important legend in the previous century. Now we hardly tell stories like that anymore. We tend to want the big fancy turnaround, the bold new strategy, the external CEO, which for companies that are in crisis makes sense. And since our modern best practices tend to ruin companies, they tend to be in crisis quite a lot. But what we want to do is we want to find a CEO who combines two really important elements. One, they personally, deeply and profoundly reflect the ethos of the company. This is why a company that doesn’t have an ethos can never pass this test because they don’t even know who to pick. But you don’t want someone who, who apes the values of the past, or is slavishly loyal to the specific things that worked in the past. You need someone who is both deeply aligned to the ethos, and who nonetheless is very performance oriented, meaning they see that when the ethos is working, it should generate long-term performance. They can’t get distracted by short-term blips but they have to have the adaptability to realize when sacred cows need to be challenged. Now, it’s commonly said that only a founder can have the moral authority to do this unique combination of things I’m describing, only they can go into founder mode, as it’s called. But I don’t think that is supported by the evidence. When companies have the right structure, they actually can imbue subsequent generations of managers with this moral authority.

6. Why is magnetic alignment so important for purpose-driven organizations and their survival?

I conceived of this book as a look into the physical forces, the underlying forces, that affect organizations. So not the surface level characteristics that we spill so much ink about, org chart, culture, business model strategy, even vision, things we can touch and taste and control. Those things are important, don’t get me wrong. But there is a deeper layer to this, like a physics of organizations. In the book, I explore very dominant force that I call financial gravity. This is the gravity that pulls companies down into mediocrity or worse and is exacerbated by our heavily financialized economy. So to build an organization that is going to endure and is going to maintain its distinctiveness or its sovereignty over time, we have to have a force that is stronger than gravity with which we can power both the alignment that we need of people, and the structural integrity to resist outside pressure. And I call that the force of magnetic alignment. This is the mechanism by which companies gain that most valuable and underrated asset: trustworthiness. And the evidence shows that companies that have this asset, that activate this force, have numerous superpowers that conventional companies simply cannot touch.

7. Is super voting stock the silver bullet for purpose driven companies or are their other possibly better or complementary ways for purpose-driven companies to protect themselves?

It’s funny because the simple answer to your question is no. And yet I advocate for super voting shares all the time. I may be the most negative advocate of super voting shares! To understand, you have to see it this way: Imagine I went to a political science professor, an expert in political philosophy and I said, “I’m thinking of setting up a new city state, a new polis. I want your advice about what kind of governance it should have.” The professor’s going to be really excited. “Oh, great. What are you considering?” And I’ll say, “Well, I’ve only got two options. Option one is a situation in which whoever borrows the most money gets the most votes. Also, the tourists can vote, and you only have to borrow the money or be a tourist on election day, after which you can release your loans or leave the country and your vote is still binding on the whole polity.” The professor’s going to look at me and be like, “That’s pretty terrible. What else you got?” So, I’ll say, “Okay, option two is despotic emperor for life and my heirs and assigns.” The professor is going to say, “That’s all you got? Those are the only two options you can think of, really? You know, in the political science department, we’ve been working on this problem for a couple hundred years. We could maybe suggest a few other things!” That is the state of corporate governance today. It is such a paucity of thinking and originality. It is so bare of our human birthright, which is to imagine different ways that power can be shared amongst people. Human beings have been experimenting with this question since there have been human beings. So, the fact that companies are choosing despotic emperor for life to me should be read not as an endorsement of autocracy, but rather as an indictment of standard governance. Standard governance is so bad that emperor for life looks like an improvement. So yes, I do think it is an improvement. I do think there are times when that’s the best we can do, but we know from the research that it is not really the best long-term solution. We know that having too much power centralized in too few people leads to what psychologists called hubris syndrome, and many other problems besides. On top of being, ultimately not that long-term, since it’s limited by the human lifespan, this also puts a lot of founders into really an untenable and very undesirable psychological situation, where they are basically indentured servants and can never leave, for fear that their creation will be destroyed. So, maybe it’s the least bad of the current available options. But of course, we can think of far better ideas. In the book I argue for what I call “constitutional governance”, which is a set of concepts that take us beyond this false dichotomy.

8. How do you think we escape the big food doom loop? (healthy food company starts, wins customers, seeks an exit to get paid, big food makes it unhealthy and lower quality – i.e. Naked, Ben ‘n’ Jerry’s, Breyer’s, etc.)

This question is not really about food, so I’m not going to address big food. What does that even mean? Because we have a tendency to want to personalize these dramas, looking for villains. I understand that there are some villains out there. I get it. But this phenomenon that you’re describing, where someone figures out a more enlightened way to create any kind of product — doesn’t matter if it’s a food product or a tech product or a product design to bring a little beauty into people’s lives — it doesn’t matter what it is. The more successful it becomes, the more valuable it is as a target. And the more of a premium someone bigger will pay to acquire it. On this book tour, I have encountered many people who’ve told me their horror stories. They tend to want to tell food stories. That’s why I like this question. They’ll be like, look, private equity took over my favorite restaurant. Now the food is disgusting. Someone said to me a couple of weeks ago about a certain brand, “I hope they’re really successful,” and then they had to amend their statement to “Well, actually, I hope they’re somewhat successful. Successful enough to keep going, but not so successful that they get bought out by private equity.” That’s how much this idea that when things become successful, they get ruined has passed into the mainstream culture. So this is not about food. In the book, I describe this phenomenon, dating back at least two hundred years, and give the mechanics of how it happens and why. Why are we so conditioned to reenact the parable of the killing of the golden goose? And more importantly, what we can do to stop it?

9. Is it time to change the ‘corporations number one duty is to its shareholders’ narrative (aka shareholder primacy)? Is that part of what you’re trying to do with this book?

Yes. I believe that the era of shareholder primacy is actually already over, for two reasons. One is, this is an idea that has proved to be self-defeating. It was originally enacted — not in ancient times, but in the 1980s, at least in Delaware — to be beneficial to shareholders, but that is not how it has proved. We’ve actually metastasized into what I would call “extraction primacy”, in which investors themselves are now locked in a zero sum prisoner’s dilemma struggle where each has to try to squeeze as much out of everything they invest in lest someone else beat them to it. I think even investors are ready for change. The second reason I think it’s already over, and that we’re like the road runner having run off this cliff and haven’t looked down yet, is there’s a massive generational shift underway. As I mentioned before, the younger generation who has lived their whole lives under the hegemony of this idea, increasingly find it absolutely repugnant. They may not know to call it shareholder primacy, they may not realize that this is an idea that, by the way, has never been democratically enacted ever in history and therefore has no democratic legitimacy. But they are hungry for something new. And so I think our energy needs to be spent not on complaining about shareholder privacy anymore. It’s over. The question needs to be, what should the successor idea be? In the book I suggest mission primacy as one alternative.

10. You mention Novo Nordisk and its foundation in the book, which apparently is about to be passed by the OpenAI foundation for the mantle of the largest foundation (much bigger than the Bill & Melinda Gates Foundation) through their 26% ownership of OpenAI shares. Is this a model that we should encourage more startups to embrace from the outset?

I’d be very careful drawing lessons from the OpenAI experience because that company is quite singular and there’s a lot of stuff going on there quite unusual, a lot of big ego people like Elon and Sam. But interestingly, people often claim that the foundation ownership of OpenAI is unusual, and that’s not true. The idea that a for-profit company can be governed by a nonprofit foundation is an old one. The German optics company Zeiss had the structure in the 1880s. And as the question asked, Novo Nordisk has had it since the 1920s. In fact there are so many of these companies in the world that they have been studied and found to be dramatically more stable. Companies that have this structure are simply more likely to invest counter-cyclically. They are more likely to invest more in R&D. They have better financial performance and they are something like five or six times more likely to live to year fifty than conventional companies. Now the key to the structure’s stability is to have a system of checks and balances, which, as far as I understand, OpenAI struggled with for much of its existence. OpenAI had only one board, but what makes companies like Novo Nordisk, Patagonia, and Tony’s Chocolonely distinctive is that they have two entities — a for-profit board of directors who’s held accountable or in some cases even appointed by an outside board of trustees. That checks and balances, two-entity structure seems in the data to the most stable corporate form in the world.

11. As we enter the age of AI and the disruption it is beginning to cause, can the displaced really rely on enlightened capitalism to keep their families from starving?

This is a very grim question, and it presupposes one of the many, many doomsday scenarios about AI that is circulating. In order to think clearly about what it makes sense to do with AI, you have to realize two really interesting facts about this moment. The first is that almost every future scenario about this technology depends on a series of empirical facts that no one on this planet really knows the answer to. And these facts are very strange. Only a few years ago, they would have been considered post-modernist, irrelevant debates in your local philosophy department about questions like, “is there such a thing as reasoning or is it all just language?” And “what is the nature of intelligence and consciousness?” Of course, we as human beings have studied these questions for many generations. But I was on CNBC talking about this the other day — it’s rare that they are of such economic import that stock traders are wondering about them. To give one example, one of the most important questions you have to ask about AI is when or if the scaling laws will ever run out. So far, for quite a number of years,, thanks to pioneering researchers, including many far-sighted ones like my co-founder at Answer.AI Jeremy Howard, have figured out that simply by applying more computation to a very simple learning algorithm, you can create language models that seem quite intelligent, at least at first glance. So far, the more computation we use to train and run these models, the more capable they become. I think most people generally assume that this is some kind of S-curve and that eventually this curve will level off. Some even think that it already has leveled off. Others think we are years, or even decades, away from it leveling off, and of course some people believe it will never level off. This is the law of the universe. Depending on which of those things is true, the future scenarios are almost comically different from each other. A world in which the scaling laws level off next year is almost unimaginably different from one in which we have ten more years of this. And many of the doomsday scenarios, but also many of the utopia scenarios, depend critically on knowing the answer to this fundamental question about the universe that nobody knows. So, back to your question: How do we know what actions to take when the range of possible futures is so wide, so different from each other and so dependent on facts not in evidence. I think there’s only one thing that makes sense, which is to ask ourselves what are actions that would make sense, that you’ll be glad that you did, in a wide variety of potential futures? And I think that takes us out of the job of having to predict the future, which is very difficult, and rather into a more prudence-based mindset of what can be done to prepare for many possible futures. And when you go through that analysis, many of the things that you want to do to protect yourself against future AI scenarios are actually things you probably should be doing anyway. Think about having better mandatory disclosure, hardening our critical infrastructure, making sure that the gains from new technologies are widely distributed, going back to the era of widely shared prosperity. So if people are going to be displaced, should they just sit around and hope that the leaders who do the displacing will wind up being enlightened? Absolutely not. Of course not. In fact, the whole point of this book is to show how unless we make changes, the gravitational field of our financial system will warp and even destroy, turn malignant, any company. But where does the gravitational field come from? I think the most surprising part of the book for many readers is in later chapters when we reveal how the same tools that we’ve been discussing about how to create more resilient companies are also tools that can be wielded by all of us to shape the gravitational field of the future and affect what kinds of companies can and can’t form, how those companies can and cannot behave. And while some of those levers are traditional levers, like policy changes, of course., the book is primarily about the other, more surprising lovers, that I bet most readers have not thought of before.

I hope everyone has enjoyed this peek into the mind of the man behind the insightful new title Incorruptible!

Image credits: Eric Ries, Google Gemini

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How to Hire Like the Richest Man in the World

How to Hire Like the Richest Man in the World

GUEST POST from Shep Hyken

This article answers the question: Is it better to hire employees for attitude or for skill, especially in customer service roles?

The old saying in business, when it comes to hiring people, is this:

Hire for attitude, train for skill.

I’ve shared ideas related to this quote in several articles and videos. So, why bring it up again? First, it’s a concept worth revisiting to remind us of this important truth, especially in the world of customer service and experience. Second, I recently heard a version of this that captures the essence and further emphasizes the importance of attitude versus skill.

As I write, the richest man in the world is Elon Musk, the CEO of Tesla and founder of SpaceX, with an estimated net worth north of $500 billion. Whether you like the way he does business or not, we can’t ignore that he may have ideas worth paying attention to, and his take on this old quote is one of those ideas. The concept of hiring for attitude is driven home when he says, “Skills can be taught, but attitude changes require a brain transplant.”

Another man worth paying attention to is Jim Bush. In my book The Amazement Revolution, I interviewed Bush, who at the time was the executive VP of world service for American Express, responsible for customer support centers around the world. He shared that if he could hire someone with years of experience at a support center or working at the front desk of a hotel, he would choose the person with the hotel front desk experience.

Shep Hyken cartoon illustrating why you should hire for attitude and train for skill

Bush said, “We’re talking about human engagement, and that requires the ability to connect.” That’s why American Express began hiring people with hospitality experience. They had the attitude American Express was looking for. After being hired, they could be trained on the technical skills needed to work the computers at a contact center.

Now, before I go further, some of you might be thinking that certain jobs require specific skills, regardless of employees’ attitudes, and you are correct. A surgeon must graduate from medical school before operating. An electrician must learn the trade before wiring a home. Certain jobs require technical proficiency. However, if you hire someone with those skills who has the wrong attitude, they can harm your culture and potentially drive customers away. So, take this concept in the spirit of its meaning.

So, back to Musk’s line about attitude changes requiring a brain transplant. The comment is a bold way of saying that attitude isn’t something you can download like software. It’s hard-wired. People’s attitudes have been formed over their entire lives, from the time they were babies. Leaders who understand this focus on recruiting people who come to the job with the right mindset, with an attitude that fits the personality of the company. The takeaway is simple. Hire people who care. Then, teach them the specific skills they need to perform their job effectively. You can train for competence, but you can’t train for caring.

Image Credit: Pixabay

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The Fourth Inning in the Future of Work

The Future of Work Evolution: What Inning Are We In?

Editor’s Note: The State of the Game in 2026

When tech strategist Geoffrey A. Moore penned this piece in the spring of 2024, the “top of the fourth inning” was characterized by the initial, frantic rush toward generative AI adoption and a baseline shift toward customer success. Two years later, as we navigate 2026, the game has rapidly intensified.

We are no longer just talking about shifting toward “outcomes”—we are actively building the infrastructure to measure them. The baseline has evolved from simple subscription tracking to deep Experience Management Offices (XMOs) and Experience Level Measures (XLMs), proving that human-centered value is the ultimate digital metric. Furthermore, the early AI hype has matured into what we call the AI Soft Landing, where organizations are moving past experimental tools to restructure workflows around systemic, human-led collaboration. Read on to explore Geoffrey’s brilliant structural breakdown of how we arrived at this pivotal inning.

GUEST POST from Geoffrey A. Moore

It’s spring of 2024, and as Major League baseball is getting underway, everyone in tech is talking about the future of work. Let me suggest we are in the top of the fourth inning, a couple of runners on base, but still much to be decided (all with the understanding that an inning in tech lasts somewhere between one and two decades—and you thought baseball games were long!). At any rate, here’s how I see it playing out.

The first inning where tech made a definitive impact on work spanned the 1970s and 80s when the dominant paradigm was proprietary mainframe computing and the focus was on management information systems. This was an era of control cultures where the mantra was plan your work and then work your plan. IBM and Oracle were the dominant players, and workflows were organized around reports.

The second inning emerged with the rise of client-server computing in the 1990s, where the focus was on real-time business processes. This was an era of competition cultures where the mantra was give me my objectives, give me my resources, and get the hell out of my way. Microsoft and Cisco were the dominant players, and workflows were organized around documents.

The third inning emerged out of the tech bubble popping at the turn of the century, where the dominant paradigm transitioned to cloud computing combined with mobile applications, and the focus shifted from B2B complex systems to B2C volume operations. This was an era of creativity cultures where the mantra was think different. Google and Apple were the dominant players, and workflows were organized around transactions.

Now we find ourselves at the top of the fourth inning, initiated with the rise of artificial intelligence, where the focus is on as-a-service subscription business models, the economics of churn, and the importance of the customer experience. This is an era of collaboration cultures where the mantra is put customer success before everything else. The dominant players have yet to be determined, but we do know that workflows will be organized around outcomes.

And that’s the point. Information technology that began at the periphery of the business as a back office report generation utility has now migrated to the very core of the enterprise’s mission, vision, and values. That’s why digital transformation is getting so much attention. But how to transform, and how to use digital technology to ensure that customers achieve the outcomes they seek, is very much still a work in progress.

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

Image Credit: Gemini

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