Preparing Your Workforce for Collaborative Intelligence

Upskilling for the AI Era

Preparing Your Workforce for Collaborative Intelligence

GUEST POST from Chateau G Pato

The rise of Artificial Intelligence is not a distant threat looming on the horizon; it is the fundamental reality of business today. Yet, the conversation is often dominated by fear—the fear of job replacement, of technical obsolescence, and of organizational disruption. As a human-centered change and innovation thought leader, I argue that this narrative misses the most profound opportunity: the chance to redefine the very nature of human work. The true imperative for leaders is not to acquire AI tools, but to upskill their human workforce for a symbiotic partnership with those tools. We must shift our focus from automation to Collaborative Intelligence, where the strength of the machine (speed, data processing) complements the genius of the human (creativity, empathy, judgment).

The AI Era demands a strategic pivot in talent development. We need to move past reactive technical training and invest in the skills that are uniquely human, those that machines can augment but never truly replicate. The future of competitive advantage lies not in owning the best algorithms, but in cultivating the workforce most skilled at collaborating with algorithms. This requires a shift in mindset, skills, and organizational design, ensuring that every employee — from the frontline associate to the senior executive — understands their new role as an AI partner, strategist, and ethical steward.

The Three Pillars of Collaborative Intelligence

Preparing your workforce for the AI era means focusing on three critical, human-centric skill areas that machines will struggle to master:

  • 1. Strategic Judgment and Empathy: AI excels at calculation, but it lacks contextual awareness, cultural nuance, and empathy. The human role shifts to interpreting the AI’s output, exercising ethical judgment, and translating data into emotionally resonant actions for customers and colleagues. This requires deep training in human-centered design principles and ethical decision-making.
  • 2. Creative Problem-Solving and Experimentation: The most valuable new skill is not coding, but prompt engineering and defining the right questions. Humans must conceptualize new use cases, challenge the AI’s assumptions, and rapidly prototype new solutions. This demands a culture of psychological safety where continuous experimentation and failure are encouraged as essential steps toward innovation.
  • 3. Data Literacy and AI Stewardship: Every employee must become literate in data and AI concepts. They don’t need to write code, but they must understand how the AI makes decisions, where its data comes from, and why a result might be biased or flawed. The human is the ethical backstop and the responsible steward of the algorithm’s power.

“The AI won’t take your job; a person skilled in AI will. The upskilling challenge is not about the technology; it’s about the partnership.” — Braden Kelley


Case Study 1: The Global Consulting Firm – From Analyst to Interpreter

The Challenge:

A major global consulting firm faced the threat of AI automation taking over their junior analysts’ core tasks: data aggregation, slide creation, and basic research. They realized that their competitive edge was not in performing these routine tasks, but in their consultants’ ability to synthesize, communicate, and build client trust—all uniquely human skills.

The Collaborative Intelligence Solution:

The firm launched a massive internal upskilling initiative focused on transforming the junior analyst role from “data processor” to “AI interpreter and client strategist.” The training focused heavily on non-technical skills: narrative storytelling (using AI-generated data to craft compelling client stories), ethical deliberation (identifying bias in AI-generated recommendations), and active listening (improving client empathy). AI was positioned not as a replacement, but as an instant, tireless research assistant that handled 80% of the routine work.

The Human-Centered Result:

By investing in human judgment and communication, the firm increased the value of its junior workforce. Consultants spent less time creating slides and more time on high-impact client interactions, leading to stronger relationships and more innovative solutions. This shift proved that the ultimate value-add in a service industry is the human capacity for strategic synthesis and trustworthy communication — skills that thrive when augmented by AI.


Case Study 2: Leading Retail Bank – Embedding AI into Customer Service

The Challenge:

A large retail bank implemented AI chatbots and automated routing systems to handle routine customer inquiries, intending to reduce call center costs. However, customer satisfaction plummeted because complex or emotionally charged issues were being mishandled by the automation. The human agents felt demoralized, fearing redundancy.

The Collaborative Intelligence Solution:

The bank pivoted its strategy, creating a new role: the Augmented Human Agent. The human agents were upskilled in two key areas. First, they received intensive training in emotional regulation and conflict resolution to handle the high-stress, complex calls that the AI flagged and escalated. Second, they were trained in “AI tuning” — learning to review the chatbot’s transcripts, identify common failure points, and provide direct feedback to the AI development team. This turned the agents from passive recipients of technology into active partners in its improvement.

The Human-Centered Result:

This approach restored customer trust. Customers felt valued because their most difficult problems were routed quickly to a highly skilled, emotionally intelligent human. Employee engagement improved because agents felt empowered and recognized as essential collaborators in the bank’s digital transformation. The result was a successful blend: AI handled the volume and efficiency, while highly skilled humans handled the emotion and complexity, achieving both cost savings and higher customer satisfaction.


Conclusion: The Future of Work is Partnership

The AI Era is not about a technological race; it is about a human race to redefine skills, value, and purpose. The most forward-thinking leaders will treat AI deployment as a catalyst for human capital development. This means shifting budget from outdated legacy training programs to investments in judgment, ethics, creativity, and empathy. The future of work is not about the “Man vs. Machine” conflict, but the Man with Machine partnership.

Your competitive advantage tomorrow will be determined by how effectively your people can collaborate with the intelligent systems at their disposal. By focusing your upskilling efforts on the three pillars of Collaborative Intelligence, you ensure that your workforce is not just surviving the AI revolution, but actively leading it—creating a future that is not just efficient, but fundamentally human-centered and more innovative.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pixabay

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Age Discrimination in the Workplace is Real

Forty-Three Percent Say 40-Plus Is Old

Age Discrimination in the Workplace is Real

GUEST POST from Shep Hyken

Diversity, equity and inclusion, known as DEI, is a popular yet sensitive topic in the workforce today. Leadership and HR that recognize this are finding ways to ensure employees from all races, ethnicities, abilities, sexual orientations, religions, etc., are represented. Sometimes included, but often left out, is age.

Age shows no color, race, religion, sex, etc. It just is. People get older, and as they do, workplace biases may become evident. It’s important to be aware of this issue. A 2022 study by LiveCareer, ‘Older People & the Workplace’, revealed some intriguing findings regarding age-related stereotypes and discrimination. More than 1,000 workers were surveyed to “investigate their opinions about older people in the workplace.”

Eight in ten respondents claimed age stereotypes were still alive in the workplace.

What is considered old? Forty-three percent of those surveyed said 40-plus is old. Twenty-six percent said 50-plus is old. And 21% said 60-plus is old. So, if you are 50, with probably 15 or more years until retirement, 69% of the people you work with think you are old.

Here are some more findings from LiveCareer’s study to get you thinking about how your organization treats aging employees:

  • 74% of the respondents aged 50-plus said they had been fired because of their age.
  • 86% aged 50-plus felt that most job postings were addressed to people younger than them.
  • 72% of respondents claimed that older employees were a target for workplace bullying.
  • 77% of the respondents said: I haven’t been hired for a job because of my age.
  • 69% said: I’m afraid to lose my job because of my age.

If over 50 is old, then leadership is … old. According to Zippia, there are over 38,700 CEOs currently employed in the U.S., and their average age is 52 years old. If you look at the Fortune 500, the average age of a CEO is 57. Several companies on the Fortune list are run by CEOs ranging from 71 to 91!

Consider the age of the most powerful executives in the United States. President Biden was 78 when he became president. Donald Trump was 70. Barak Obama seems like a baby considering he entered the Oval Office when he was just 47. The overall average age of a United States president entering office is 56 (almost 57).

Some companies and brands are taking a proactive position against age discrimination. Dove and Wendy’s in Canada reacted to CTV news firing Canadian news anchor Lisa LaFlamme for letting her hair go gray. Dove Canada responded with a #KeepTheGrey campaign on its social media postings. They wrote, “Age is beautiful. Women should be able to do it on their own terms, without consequences.” Wendy’s tweeted, “Because a star is a star regardless of hair color.”

Companies are evaluating their retirement policies, recognizing the value of older employees. Target recently announced it is eliminating the mandatory retirement age of 65. Its current CEO, Brian Cornell, will be turning 64 on his next birthday, and Target doesn’t seem ready to start planning for his successor. While Target’s reason for changing the policy may seem self-serving, you can’t ignore that they have come to realize the value in keeping their best employees, regardless of age. Other major companies like 3M, Merck and Boeing are also changing their policies on mandatory retirement.

The OECD (Organization for Economic Co-operation and Development), an international group of economists based in Paris, with more than 38 member countries, predicts that by 2050, more than four in ten individuals (that’s 40%) in the world’s most advanced economies are likely to be older than 50. The workforce is aging even more rapidly as younger people are starting work at an older age, and older people are staying employed.

We’re not getting any younger. We’re older today than yesterday, both in life and at work. We can’t fight that. It’s just a fact, and you can’t ignore it. The U.S. Bureau of Labor Statistics shows the workforce is also getting older. In 2000 the average age of a worker in the U.S. was 39.3. In 2010, that jumped to 41.7. In 2020, it increased to 42.8.

Despite these changes and observations, age bias still exists. It needs to be considered—and eradicated—the same as other DEI issues.

This article originally appeared on Forbes

Image Credit: Pixabay

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Mindfulness for Mavericks

Finding Calm in the Chaos of Innovation

Mindfulness for Mavericks - Finding Calm in the Chaos of Innovation

GUEST POST from Art Inteligencia

The world of the innovator — the Maverick — is inherently chaotic. It is defined by relentless speed, constant pivoting, the terror of the unknown, and the inevitable sting of failure. For too long, we have celebrated the myth of the stressed-out, high-octane leader who fuels breakthrough with sheer exhaustion and adrenaline. But this model is not only unsustainable; it is strategically deficient. Exhausted minds make predictable mistakes, miss subtle signals, and react impulsively. As a human-centered change and innovation thought leader, I argue that the single most powerful, yet overlooked, strategic tool for any innovator is Mindfulness — the non-judgmental awareness of the present moment. Mindfulness is not a “soft” wellness trend; it is the hard skill required to cultivate clarity, enhance resilience, and make smarter, more ethical decisions in the face of constant organizational chaos.

Innovation lives in the space between stimulus and response. When an unexpected challenge arises — a competitor’s sudden move, a prototype failure, or a market rejection — the unmindful leader reacts based on fear, bias, or past trauma. The mindful leader, however, creates a brief, intentional pause. This pause is where wisdom resides. It allows them to observe the emotional surge without being hijacked by it, ensuring that their response is strategic and deliberate, not emotional and reactionary. The capacity to be fully present, focused, and non-reactive is, therefore, the core competitive advantage in any fast-moving market. Calm is the new creativity.

Mindfulness as a Strategic Capability

Embedding mindfulness into the innovation culture is not a matter of employee benefit; it is a strategic imperative that directly impacts your bottom line and your capacity for disruptive thought. Here is why it belongs on the strategy table:

  • Reduces Cognitive Bias: Innovation is plagued by confirmation bias and anchoring bias. Mindfulness trains the brain to observe thoughts, feelings, and assumptions as temporary phenomena, not as absolute truths. This ability to decenter from one’s own immediate judgments is vital for seeing new solutions and avoiding fatal strategic blind spots.
  • Accelerates Resilience: Failure is oxygen for innovation. Mindfulness equips teams to process setbacks faster. By practicing non-judgmental observation, innovators learn to treat failure not as a personal crisis, but as neutral data — a valuable data point that requires analysis, not anguish. This allows for quicker pivots and less wasted time mourning a failed concept.
  • Enhances Deep Listening: Human-centered innovation demands empathy. Mindfulness sharpens our ability to listen—not just to the words being said in a user interview, but to the unspoken emotions, the subtle body language, and the unarticulated needs. This deep listening capability is the raw fuel for breakthrough insights.

“The mind is not a vessel to be filled, but a fire to be stoked. Mindfulness is the bellows that focuses the flame.” — Braden Kelley (author of Stoking Your Innovation Bonfire)


Case Study 1: Google’s Search Inside Yourself (SIY) Program – Institutionalizing Calm

The Challenge:

Even at a place like Google, where technical brilliance is abundant, high pressure, rapid scaling, and information overload were creating burnout and hindering effective cross-functional leadership. The challenge was finding a way to enhance emotional intelligence and focus that was rigorous, scientific, and acceptable to a highly analytical culture.

The Mindfulness Solution:

In 2007, Google launched Search Inside Yourself (SIY), a now-famous program pioneered by engineer Chade-Meng Tan. It was a six-week course designed not just for “wellness,” but explicitly to enhance emotional intelligence, self-awareness, and focus through mindfulness training. The program used neurological data and a practical, secular approach to teach engineers and leaders how to manage stress and respond more skillfully to complex workplace situations. By linking mindfulness directly to measurable outcomes like improved collaboration and reduced conflict, the program integrated it as a strategic leadership tool.

The Human-Centered Result:

SIY proved that institutionalizing mindfulness could be scaled, even in the most demanding tech environments. The program fostered a generation of leaders better equipped to handle ambiguity and lead with empathy. It demonstrated that by training the mind to be calm and present, you directly improve the capacity for high-stakes problem-solving and sustainable innovation—making it a core capability, not a peripheral perk.


Case Study 2: Tactical Mindfulness in High-Stakes Environments – The Intentional Pause

The Challenge:

In fields where chaos is the norm—such as emergency medicine, aviation, or high-level tactical operations—decision-making must be instantaneous, precise, and free of panic. A sudden system failure in a cockpit or a rapid-fire sequence of events in a surgical theater demands peak cognitive performance under immense stress. Traditional training focuses on technical checklists, but often fails to address the cognitive breakdown that occurs when fear takes over.

The Mindfulness Solution:

High-reliability organizations, from Navy SEALs to commercial aviation safety experts, increasingly incorporate elements of Tactical Mindfulness into their training. This is not about long meditation sessions; it is about practicing the Intentional Pause. Techniques like “Box Breathing” or a quick “Sensory Scan” (grounding oneself by noting five things they can hear, see, or feel) are used to rapidly interrupt the panic cycle. This returns the prefrontal cortex—the rational decision-making center—to control. The goal is to maximize the time between the chaotic stimulus (e.g., a warning light) and the response, ensuring the action is deliberate and based on training, not terror.

The Human-Centered Result:

This application of mindfulness strips away any lingering stigma and positions it as a non-negotiable performance multiplier. By cultivating the capacity for calm under fire, these professionals significantly reduce error rates. This translates directly to the innovation world: the ability to execute an intentional pause when a major product launch fails, or a critical pivot is required, ensures the team moves from crisis to calculated action with speed and clarity—the very definition of resilient innovation.


Conclusion: The Ultimate Future-Proofing Skill

Mindfulness is the ultimate tool for FutureHacking. It allows the Maverick to rise above the noise of the market and the internal anxiety of their own ambition, creating the necessary cognitive space to see truly disruptive opportunities. Leaders must recognize that their most powerful asset is the clarity of their team’s attention. By modeling and supporting mindfulness, you are not just offering a pathway to reduced stress; you are building an organization that is inherently more focused, more empathetic, more resilient, and ultimately, more capable of sustainable innovation.

The time has come to stop chasing the next distraction and start prioritizing the depth of your presence. The future of change belongs not to the fastest to react, but to the most skilled at pausing. Find the calm within the chaos, and you will find the answers you seek.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Wikimedia Commons

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Using Leading and Lagging Indicators to Drive Your Business Forward

You get what you measure, so make sure you’re tracking the right things.

Using Leading and Lagging Indicators to Drive Your Business Forward

GUEST POST from Soren Kaplan

I’ve seen a lot of organizations create strategies, programs, and projects focused on optimizing operations, streamlining processes, and driving innovation. Leadership teams put lots of energy coming up with the next big thing. But amazingly few teams think about how they’ll measure results. They may say they want revenue growth or cost savings, but that’s about the extent of it. Digging into the details by defining the specific metrics that will help track progress and forecast whether they’re going to achieve their goals in the future often gets neglected.

I’ve used this Key Performance Indicators template to address this challenge. Here’s the basis of why it’s important to use KPIs for your strategy and innovation initiatives, and how to use the template.

Strategy Without Successful Execution Is Just Brainstorming

Between developing strategy and executing it, there’s a step that requires creativity coupled with analytical thinking. It’s defining leading and lagging indicators. Many manufacturing companies and organizations that embrace Six Sigma know the importance of the metrics. Metrics help you quantify success, so you know when you’re achieving it and when you’re not.

Most companies focus on lagging indicators, like how much revenue they made in the last quarter, how many products they sold, or how many new customers they acquired. That’s important information, but those measures are obtained by looking in the rear-view mirror of what’s already happened. In addition to these things, you also need leading indicators to help you predict what will happen in the future. Here’s how to use both of these indicators to translate strategy into tangible implementation plans.

Leading Indicators Help You Predict the Future

Leading Indicators predict how you will perform in the future. They are more easily managed than lagging indicators but are harder to define. For example, if you’re looking to increase sales, you might measure the number of emails you send or sales calls you make. If you know that one in 10 calls results in a sale, the more contacts you make, the higher your sale forecast. Same goes for if you’re running a manufacturing organization. Leading Indicators for a manufacturing plant might include number of incidents that cause production slowdowns or the availability of specific materials in the supply chain.

Lagging Indicators Tell You How You Did

Lagging Indicators are easier to measure because they quantify what happened in the past. For example, a lagging indicator for sales would be measuring the number of products sold last month or number of new customers that signed up for a service. This information is usually easy to obtain and measure. Lagging Indicators are essential for charting progress but are not necessarily that helpful when looking at the inputs needed for achieving your overall desired results.

Create Your Dashboard

If you want innovation, reduced costs, and greater performance, you need to figure out how to do it, and what it looks like when you get it. Creating a set of lagging indicators gives you targets to achieve. But lagging indicators without leading indicators won’t provide focus around what to do–or early warning signals that things might be off track. If you’re manufacturing products, for example, if you’re not measuring whether your suppliers are delivering your materials on time, you might get surprised one day when you realize you don’t have the raw materials you need to achieve your manufacturing targets.

Here’s how to create a simple dashboard that contains both leading and lagging indicators:

  1. Convene your team and identify the specific quantifiable targets that you need to achieve (your lagging indicators). Ask: What does success look like and how do we measure it?
  2. Once you have your lagging indicators, define the inputs needed to achieve them. Ask: What specific things need to happen for us to achieve these targets and how do we measure those things? (your leading indicators)
  3. With your lagging and leading indicators defined, use specific tools to gather and report on your data, whether a spreadsheet or online dashboard.

Management guru Peter Drucker once said, “What’s measured, improves.” If you want to improve your processes and business, figure out what you’re measuring. If you measure only the outputs (lagging indicators), your success will be far less predictable than if you’re also measuring the things that will get you where you want to go.

Image Credit: Praxie.com

This article was originally published on Inc.com and has been syndicated for this blog.

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The Human Element in Futurism

Understanding What Drives Tomorrow’s Behaviors

The Human Element in Futurism

GUEST POST from Chateau G Pato

We live in a world obsessed with technological predictions. We meticulously track Moore’s Law, debate the singularity of AI, and map the exponential curve of quantum computing. But I argue that this focus on hardware and code misses the single most volatile and vital factor in any prediction: the human being. As a human-centered change and innovation thought leader, my job is to look beyond the what of technology to the why of behavior. Futurism is not about predicting a new device; it’s about understanding a new human need. The key to successful future-casting — and successful innovation — lies in anchoring technological foresight to the immutable principles of human psychology and anticipating how technology will meet, or fail to meet, our deepest, most enduring needs for connection, control, identity, and security.

The history of failed predictions is littered with technologies that were brilliant on paper but died in the marketplace because they misunderstood or ignored human behavior. We often forget that technology is merely an accelerant; the engine of change is always a shift in human value. To effectively navigate and profit from the future, leaders must perform an exercise I call Behavioral Foresight. This means starting with the timeless human desire (e.g., the need for connection, status, or ease) and then envisioning the scenarios where a disruptive technology either amplifies that desire or simplifies the mechanism for achieving it. When technological capability meets a deep human truth, true transformation occurs.

The Three Drivers of Tomorrow’s Behavior

While the expression of human needs changes with every innovation cycle, the underlying drivers remain constant. Successful futurism anticipates the convergence of technology with these three enduring pillars:

  • 1. The Need for Control and Autonomy: As the world becomes more complex, people inherently seek more control over their personal data, time, and environment. Any technology that democratizes power, decentralizes decision-making, or gives the individual greater agency (from blockchain to personalized health trackers) is inherently aligned with a fundamental human driver.
  • 2. The Pursuit of Ease (Frictionless Living): We are wired to conserve energy. Innovations that eliminate friction, simplify complex processes, or reduce cognitive load will always win. This is why a one-click purchase button is more successful than a three-step form, and why seamless integration beats powerful but complex software. Tomorrow’s successful behaviors are the easiest ones.
  • 3. The Desire for Authentic Identity and Belonging: Technology may connect us globally, but it also creates anxiety around authenticity and status. The future of social platforms and digital identities will be driven by platforms that allow for niche, meaningful connections and give people powerful tools to express their unique, evolving selves, resisting the homogenizing forces of mass culture.

“Predicting technology is easy. Predicting human behavior is the only thing that matters.”


Case Study 1: The Smartphone Revolution – Prioritizing Connection Over Capability

The Failed Prediction:

In the early 2000s, many tech experts predicted that the future of mobile phones would be driven by technical capability — faster processors, superior cameras, and advanced features. The prevailing wisdom was that professional and power users would be the primary adopters of these complex devices.

The Human-Centered Reality:

The iPhone’s success was not initially built on its superior processing power (which lagged behind competitors at launch), but on its ability to satisfy the human need for frictionless connection and belonging. The seamless interface, the easy access to email and social platforms, and the intuitive camera made it a powerful social tool, not just a business device. The killer applications were not spreadsheets; they were instant messaging, photo sharing, and social networking. The success was driven by the average person’s need to feel constantly connected and to easily share their lived experience. It prioritized the human element (ease, connection) over the technical element (raw power).

The Key Behavioral Insight:

The market demonstrated that people will tolerate significant complexity behind the scenes (processor architecture, network latency) if the interface perfectly addresses their core human need for immediate, effortless social interaction. The future of mobile wasn’t about power; it was about proximity to people.


Case Study 2: The Failure of Google Glass – When Status Conflicts with Comfort

The Technological Promise:

Google Glass was a technological marvel: a discreet, wearable computer that promised to deliver information directly into the user’s field of vision, representing the ultimate fusion of digital information and physical reality. Technically, it was a leap forward, aimed at maximizing efficiency and access to data.

The Human-Centered Failure:

Despite the technical brilliance, Glass failed spectacularly in the consumer market, largely because it created severe friction in two fundamental human areas: social identity and control.

  • Identity/Belonging: Users felt self-conscious, and the public saw the wearers — dubbed “Glassholes” — as arrogant or intrusive. The device was perceived as a symbol of status and exclusion, making the wearer feel separate rather than integrated.
  • Control/Security: The always-on camera and recording capability deeply violated the social contract of trust and privacy, making non-wearers feel a profound lack of control over their own image and security in the wearer’s presence.

The technology ignored the human truth that people value their sense of comfort, privacy, and social acceptance far more than instant access to search results.

The Key Behavioral Insight:

The market demonstrated that any technology that infringes upon the psychological safety and social norms of the community will be rejected, regardless of its utility. The human need for social acceptance and privacy trumped the efficiency gains offered by the wearable tech.


Conclusion: The Future is Human-Shaped

The most enduring innovations are not those that change the most things, but those that understand the things that never change—the immutable drivers of human behavior. Technology simply provides new pathways to fulfill these old needs.

For any leader charting a course into the future, your greatest tool is not a crystal ball or a supercomputer; it is radical empathy. You must look at emerging technologies through the lens of human psychology. Ask: Does this technology simplify an ancient frustration? Does it amplify a core need for connection? Does it empower the individual or take away their control?

The convergence of technological capability and human truth is where true value is created. By centering your future-casting on the timeless human element, you move beyond mere trendspotting to true FutureHacking – proactively shaping a world that is not only technologically advanced but also genuinely human-centered and aligned with the aspirations of the people it serves.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

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

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Lobsters and the Wisdom of Ignoring Your Customers

Lobsters and the Wisdom of Ignoring Your Customers

GUEST POST from Robyn Bolton

Being the smart innovator (and businessperson) you are, you know it’s important to talk to customers. You also know it’s important to listen to them.

It’s also important to ignore your customers.

(Sometimes)

Customers will tell you what the problem is. If you stay curious and ask follow-up questions (Why? and Tell me more), they’ll tell you why it’s a problem and the root cause. You should definitely listen to this information.

Customers will also tell you how to fix the problem. You should definitely ignore this information.

To understand why, let me tell you a story.

Eye Contact is a Problem

Years ago, two friends and I took a day trip to Maine. It was late in Fall, and many lobster shacks dotting the coast were closed for the season. We found one still open and settled in for lunch.

Now, I’m a reasonably adventurous eater. I’ll try almost anything once (but not try fried tarantulas). However, I have one rule – I do not want to make eye contact with my food.

Knowing that lobsters are traditionally served with their heads still attached, I braced for the inevitable. As the waitress turned to me, I placed the same order as my friends but with a tiny special request. “I’ll have the lobster, but please remove its head.”

You know that scene in movies when the record scratches, the room falls silent, and everyone stops everything they’re doing to stare at the person who made an offending comment? Yeah, that’s precisely what happened when I asked for the head to be removed.

The waitress was horrified, “Why? That’s where all the best stuff is!”

“I don’t like making eye contact with my food,” I replied.

She pursed her lips, jotted down my request, and walked away.

A short time later, our lunch was served. My friends received their lobsters as God (or the chef) intended, head still attached. Then, with great fanfare, my lobster arrived.

Its head was still attached.

But we did not make eye contact.

Placed over the lobster’s eyes were two olives, connected by a broken toothpick and attached to the lobster’s “ears” by two more toothpicks.

The chef was offended by my request to remove the lobster’s head. But, because he understood why I wanted the head removed, he created a solution that would work for both of us – lobster-sized olive sunglasses.

Are you removing the head or making sunglasses?

Customers, like me, are experts in problems. We know what the problems are, why they’re problems, and what solutions work and what don’t. So, if you ask us what we want, we’ll give you the solution we know – remove the head.

Innovators, like you and the chef, are experts in solutions. You know what’s possible, see the trade-offs, and anticipate the consequences of various choices. You also take great pride in your work and expertise, so you’re not going to give someone a sub-par solution simply because they asked for it. You’re going to provide them with olive sunglasses.

Next time you talk to customers, stay curious, ask open-ended questions, ask follow-up questions, and build a deep understanding of their problems. Then ignore their ideas and suggestions. They’ll only stand in the way of your olive sunglasses.

Image credit: Pixabay

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Using Analytics to Understand Human Behavior

The Data-Driven Innovator

Using Analytics to Understand Human Behavior

GUEST POST from Art Inteligencia

In the world of change and innovation, there is a false dichotomy that has persisted for too long: the perceived conflict between **human-centered design** and **data science**. We often hear that the most profound insights come from intuition, empathy, and listening to the customer’s story. While true, that view misses a critical reality: the most powerful innovation emerges when intuition is fueled by rigorous data. As a human-centered change and innovation thought leader, I argue that the future belongs to the **Data-Driven Innovator**—the one who uses analytics not just to measure performance, but to deeply understand, predict, and ultimately serve complex human behavior. Data is not the enemy of empathy; it is the most sophisticated tool we have to **quantify human needs** and **de-risk the innovation process**.

The problem with relying solely on traditional methods—surveys, focus groups, and simple intuition—is that they are often limited by what people *say* they do, which rarely aligns with what they *actually* do. Behavioral data, gathered from digital footprints, transactional records, and usage patterns, provides an unbiased, unfiltered window into genuine human motivation. It tells us where customers get stuck, which features they ignore, and the specific sequence of actions that leads to delight or frustration. Innovation, therefore, must move beyond simply collecting Big Data to mastering **Deep Data**—the careful, ethical analysis of behavioral patterns to uncover the latent needs and unarticulated desires that lead to breakthrough products and experiences.

The Analytics-Driven Empathy Framework

To successfully fuse human-centered thinking with data rigor, innovators must adopt a framework that treats analytics as the starting point for empathy, not the endpoint for analysis:

  • 1. Behavioral Mapping (The ‘What’): Begin by mapping the customer journey using pure behavioral data. Which steps have the highest drop-off rate? What is the *actual* time between a pain point being identified and a solution being sought? This quantifies the problem space and directs attention to where human frustration is highest.
  • 2. Qualitative Triangulation (The ‘Why’): Once data identifies a “what” (e.g., 60% of users fail at this step), the innovator must deploy qualitative research (interviews, observation) to find the “why.” Data highlights the anomaly; human-centered methods explain the motivation, the fear, or the confusion behind it.
  • 3. Predictive Prototyping (The ‘How to Fix’): Use analytics to build predictive models that test new concepts. Instead of launching a full product, use A/B testing and multivariate analysis on small, targeted groups. Data allows you to quickly iterate on prototypes, measuring the direct impact on human behavior (e.g., effort reduction, time saved, emotional response captured via text analysis).
  • 4. Ethical Guardrails (The ‘Should We?’): Data analysis carries immense responsibility. Innovators must establish clear ethical guidelines to ensure data is used to serve customers, not to manipulate them. Prioritize transparency, privacy-by-design, and actively audit algorithms to eliminate bias and ensure fairness.

“Empathy tells you *how* to talk to the customer. Data tells you *when* and *where* to listen.”


Case Study 1: Netflix – Quantifying the Appetite for Content

The Challenge:

In the crowded media landscape, the challenge for Netflix was twofold: how to reduce churn (customers leaving) and how to justify the massive, risky investment in original content. They couldn’t rely on simple focus groups for such high-stakes, long-term decisions.

The Data-Driven Innovation Solution:

Netflix became the master of **deep data analysis** to understand the human appetite for content. They didn’t just track viewing habits; they tracked every micro-interaction: when a user paused, rewound, what they searched for, the time of day they watched, and the precise moment they abandoned a show. This behavioral data revealed clear, quantitative unmet needs. For example, the data showed that a significant cohort of users watched British period dramas, starring a specific type of actor, and favored directors with a particular cinematic style. This insight was then used to greenlight shows like House of Cards and Orange Is the New Black, not just because they sounded good, but because the data demonstrated a latent, high-demand audience for that exact combination of themes, talent, and viewing format.

The Human-Centered Result:

By using analytics as an engine for creative decision-making, Netflix revolutionized media production. They proved that data can fuel, rather than stifle, creativity. The result was not just reduced churn and massive market dominance, but a fundamentally improved customer experience—a personalized library that feels tailor-made for each user, making them feel genuinely understood. This is innovation where the data-driven decision leads directly to human delight.


Case Study 2: Spotify – Using Behavioral Data to Define Identity

The Challenge:

For a music streaming service, the challenge is not just providing access to millions of songs, but helping users navigate that overwhelming volume and connecting them with the *right* song at the *right* emotional moment. The user’s relationship with music is deeply personal and often unarticulable—how do you quantify musical identity?

The Data-Driven Innovation Solution:

Spotify innovated by translating passive listening into actionable behavioral data. They moved beyond simple “most played” lists to create products like **Discover Weekly** and **Wrapped**. These features rely on deep analytics that track everything from the track’s tempo and key (acoustic data) to the time of day it was played, the device used, and the listener’s immediate skip rate (behavioral data). The key innovation was to use machine learning to identify the musical identity of the user not by asking them, but by observing their habits, and then to use that data to serve them content they didn’t even know they wanted. The company uses this data to quantify a person’s mood, context, and latent taste.

The Human-Centered Result:

Spotify transformed passive music consumption into an active, highly personalized journey. Products like ‘Wrapped’ don’t just give users data; they give them a **narrative about themselves**, which is profoundly human-centered. This innovation has led to unmatched user engagement and loyalty. It demonstrates that data analytics, when applied empathetically, can be used to reflect a user’s identity back to them, deepening their connection to the service and making the abstract concept of personal taste tangible and delightful.


Conclusion: The Future of Innovation is Quantified Empathy

The time for the intuitive innovator to stand apart from the data scientist is over. The next great wave of innovation will be led by those who understand that **Deep Data is the greatest tool for Deep Empathy**. Analytics does not dehumanize the innovation process; it refines it, allowing us to move from generalized guesses about human needs to precise, actionable insights. By fusing human-centered design principles with the rigor of behavioral analytics, we create a powerful feedback loop. Data points us toward the friction, empathy reveals the solution, and data again validates the fix. This is the quantified path to innovation, ensuring that we are not just building things that are technically possible, but things that people genuinely need, deeply want, and, most importantly, actually use.

The future belongs to the data-driven innovators who treat every behavioral click, every pause, and every purchase as a precious piece of the human story they are trying to tell.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Crabby Innovation Opportunity

Crabby Innovation Opportunity

There are many foods that we no longer eat, but because we choose to, not because they have disappeared from nature. In fact, here is a list of 21 Once-Popular Foods That We All Stopped Eating, including:

  • Kool-Aid
  • Margarine
  • Pudding Pops
  • Candy Cigarettes
  • etc.

But today, we’re going to talk about a food that I personally love, but that I’ve always viewed as a bit of luxury – crab legs – that is in danger of disappearing off the face of the planet due to climate change and human effects. And we’re not just talking about King Crab, but we’re also talking about Snow Crab, and we’re talking about Dungeness Crab too. And this is a catastrophe not just for diners, but to an entire industry and the livelihood of too many families to count:

That’s more than a BILLION CRABS that none of us have had the pleasure of their deliciousness.

And given the magnitude of the die off, it is possible they might disappear completely, meaning we can’t enjoy and salivate at the thought of this popular commercial from the 80’s:

Climate change and global warming are real. If you don’t believe humans are the cause, that it’s naturally occurring, fine, it’s still happening.

There can be no debate other than surrounding the actions we take from this point forward.

And while the magnitude of the devastation of other animal species that humans are responsible for is debatable, we are failing in our duties as caretakers of the earth.

This brings me back to the title of the post and the missions of this blog – to promote human-centered change and innovation.

Because we have killed off one of our very tastiest treats (King, Snow and Dungeness Crabs), at least in the short-term (and possibly forever), there is a huge opportunity to do better than krab sticks or the Krabby Patties of SpongeBob SquarePants fame.

If crab legs are going to disappear from the menus of seafood restaurants across the United States, and possibly the world, can someone invent a tasty treat that equals or exceeds the satisfaction of wielding a crab cracker and a crab fork and extracting the white gold within to dip into some sweet and slippery lemon butter?

Who is going to be first to crack this problem?

Or who will be the first to find a way to bring the crabs back from extinction?

We’re not just talking about a food to fill our bellies with, we’re talking about a pleasurable dining experience that is going away – that I know someone can save!

And no Air Protein marketing gimmicks please!

Image credit: Northsea.sg

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Four Ways to Overcome Resistance to Change

Four Ways to Overcome Resistance to Change

GUEST POST from Greg Satell

Why are organizations so resistant to change? Many point to a corporate immune system or to organizational antibodies that instantly attack change. The idea is that leaders prefer stability to disruption and put systems in place to reduce variance. These systems will instantly seek out and destroy anyone who tries to do anything different.

This is a dangerously misleading notion. There is no such thing as a corporate immune system. In fact, most senior executives are not only in favor of change, they see themselves as leading it! However, while most people are enthusiastic about change as a general concept, they are suspicious of it in the particular.

The truth is that is if the change you seek has the potential to be truly impactful, there are always going to be people affected who aren’t going to like it. They will seek to undermine it, often in very dishonest ways. That’s just a fact of life that you need to accept. Yet history clearly shows that, with a smart strategy, even the most ardent opposition can be overcome.

1. Ignore The Opposition — At First

The first principle for overcoming resistance is to understand that there is no reason you need to immediately engage with your active opposition. In fact, it’s something you should do your best to avoid in the early stages when your idea is still untried, unproven and vulnerable.

All too often, change initiatives start with a big kickoff meeting and communication campaign. That’s almost always a mistake. In every organization, there are different levels of enthusiasm to change. Some will be ready to jump on board, but others will be vehemently opposed. For whatever reason, they see this particular idea as a threat.

By seeking to bring in everybody at once, you are very likely to end up spending a lot of time and energy trying to persuade people who don’t want to be persuaded. The truth is that in the beginning your idea is the weakest it’s ever going to be. So there’s no reason to waste your time with people who aren’t open to it.

If you find yourself struggling to convince people, you either have the wrong change or the wrong people. So at first, seek out people who are already enthusiastic about your vision for change and want it to succeed.

2. Identify Your Apostles

In retrospect, transformations often seem inevitable, even obvious. Yet they don’t start out that way. The truth is that it is small groups, loosely connected, but united by a common purpose that drives transformation. So, the first thing you want to do is identify your apostles—people who are already excited about the possibilities for change.

For example, in his efforts to reform the Pentagon, Colonel John Boyd began every initiative by briefing a group of collaborators called the “Acolytes,” who would help hone and sharpen the ideas. He then moved on to congressional staffers, elected officials and the media. By the time general officers were aware of what he was doing, he had too much support to ignore.

In a similar vein, a massive effort to implement lean manufacturing methods at Wyeth Pharmaceuticals began with one team at one factory, but grew to encompass 17,000 employees across 25 sites worldwide and cut manufacturing costs by 25%. The campaign that overthrew Serbian dictator Slobodan Milošević started with just 5 kids in a coffee shop.

One advantage to starting small is that you can identify your apostles informally, even through casual conversations. In skills-based transformations, change leaders often start with workshops and see who seems enthusiastic or comes up after the session. Your apostles don’t need to have senior positions or special skills, they just have to be passionate.

3. Shift from Differentiating Values to Shared Values

People feel passionately about things that are different. That’s why the first product that Steve Jobs launched after he returned to Apple was the iMac. It wasn’t a very good computer, but its bright colors were designed to appeal to Apple’s passionate fan base, as was the “Think Different” ad campaign launched around the same time.

Yet if all Steve Jobs had to rely on was difference, Apple would have never grown beyond its most ardent fans and become the most valuable company in the world. It was the company’s growing reputation for high quality and smart features that brought in new customers. True change is always built on common ground.

One of the biggest challenges in driving transformation is that while differentiating values make people excited about an idea, it is shared values that help grow a movement. That doesn’t mean you’re abandoning or watering down your principles. It just means that you need to meet people where they are, not where you wish them to be.

For example, the Agile Manifesto has inspired fierce devotion among its adherents. Yet for those outside the Agile development community, its principles can seem weird and impractical. If you want to bring new people, it’s better to focus on shared values, such as the ability to produce better quality projects on time and on budget.

4. Create and Build on Meaningful Success

The reason people resist change is that they have a certain level of comfort with the status quo. Change forces us to grapple with the unfamiliar, which is always uncomfortable. There are also switching costs involved. So, if you want your change to take hold, at some point you are going to have to prove you can get results.

One great example is the PxG initiative at Procter & Gamble. It got started when three mid-level executives decided that they could dramatically improve a process. They didn’t try to convince anybody or ask for permission but were able to reduce the time it took from weeks down to hours. That started a movement within the company that has attracted thousands.

When Experian CIO Barry Libenson started a cloud transformation at his company, he didn’t force anybody to go along. Instead, he focused on helping product managers who wanted to build successful cloud projects. As they began to show concrete business results, the pressure for others to get with the program increased.

Perhaps most of all, you need to accept that resistance is part of change and that’s not necessarily a bad thing. In fact, skeptics can often point out important flaws in your idea and make it stronger. The difference between successful revolutionaries and mere dreamers is that those who succeed anticipate resistance and build a plan to overcome it.

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

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Making Abstract Concepts Tangible

The Power of Anecdote

Making Abstract Concepts Tangible

GUEST POST from Chateau G Pato

In the innovation landscape, we are drowning in data and gasping for insight. We talk endlessly about “digital transformation,” “agile strategy,” and “cultural change”—phrases that are intellectually sound but emotionally sterile. These abstract concepts, presented in PowerPoint decks filled with charts and jargon, may inform the mind, but they rarely move the soul. As a human-centered change and innovation thought leader, I can tell you this truth: Jargon and data don’t drive change; stories do. The single most powerful tool a leader has to ignite a movement, overcome resistance, and embed a new culture is the simple, compelling anecdote. An anecdote takes an abstract, often intimidating strategic goal and anchors it to a specific, tangible human moment, making the incomprehensible accessible and the unbelievable real.

We are wired for narrative. Neurologically, when we hear pure data or statistics, only the language processing centers of our brains are engaged. But when we hear a story, the brain areas that would be active if we were *experiencing* the events ourselves light up. This phenomenon, known as neural coupling, is why an anecdote is the kinetic energy of change. It releases oxytocin, building trust and empathy between the storyteller and the listener. It moves past intellectual understanding to emotional ownership. You can tell an employee that the company needs to be “customer-centric” ten times, and they’ll nod. But tell them the story of how one simple act of service saved a customer’s day, and you don’t just inform them—you transform their understanding of their own role. The anecdote is the ultimate human-centered design for strategy.

A Framework for Anecdotal Leadership

Effective leaders don’t just delegate strategy; they become the chief storytellers of the organization’s future. Leveraging the power of anecdote requires intent and structure, not just random storytelling. Here is a framework for embedding narrative into your leadership:

  • 1. Anchor the Abstract to the Authentic: For every major strategic initiative—whether it’s “sustainability” or “process efficiency”—find the one authentic story that illustrates the point. Do not let a new value statement stand alone; anchor it with the specific human moment that brought that value to life.
  • 2. Democratize Storytelling: The most potent anecdotes often do not come from the C-suite. They come from the front lines, from the customer service representative, the engineer, or the sales associate. Leaders must actively create channels to collect and amplify these stories, turning the front line into the source of organizational truth.
  • 3. Vulnerability as the Currency of Trust: To drive real behavioral change, leaders must model vulnerability. Sharing a personal anecdote about a major failure, a moment of profound uncertainty, or a time when you realized you were wrong is the fastest way to build psychological safety. It signals that it is safe for others to take risks and admit mistakes, which is the oxygen of innovation.
  • 4. The Anecdotal Test: Before presenting any major initiative—a new product, a cultural shift, a strategic pivot—test it with a simple question: “If I stripped away all the data and jargon, what single, compelling story would prove the value of this change?” If you can’t tell that story, your strategy is too abstract to succeed.

“Facts tell, but stories sell. In the business of change, you must sell the vision before you can achieve the strategy.” — Braden Kelley


Case Study 1: NASA’s Apollo Program – The Janitor’s Shared Purpose

The Challenge:

In the 1960s, the goal of “putting a man on the moon” was monumental, abstract, and technically incomprehensible to most people. How do you align thousands of scientists, engineers, and support staff across dozens of different facilities—from mathematicians calculating trajectories to janitors sweeping the halls—to a single, human-centered objective?

The Power of Anecdote:

The solution was encapsulated in a single, enduring anecdote involving President John F. Kennedy. As the story goes, during a 1962 tour of the NASA Space Center, Kennedy approached a janitor and asked him what his job was. The janitor, without hesitation, replied, “Mr. President, I’m helping put a man on the moon.” This story, whether perfectly accurate or slightly mythologized, became the organizational blueprint for shared purpose. It was instantly accessible and emotionally resonant. It showed everyone that their role, no matter how distant from the rocket itself, was essential to achieving the collective, human-centered goal.

The Result:

This anecdote transcended engineering schematics and budget reports. It didn’t just explain the mission; it defined the *meaning* of the mission for every employee. It created an organizational culture where purpose was tangible and felt at every level. It is a powerful example of how a leader can use a single, simple human story to align a massive, complex organization toward an abstract, audacious vision, turning a technical challenge into a human triumph.


Case Study 2: Southwest Airlines – Defining Culture Through Action Stories

The Challenge:

How does an airline maintain a culture of exceptional, “beyond-the-policy” customer service and high operational efficiency in an industry notorious for low margins, high stress, and bureaucratic rigidity? Furthermore, how do they teach this unique culture to thousands of new employees every year?

The Power of Anecdote:

Southwest Airlines achieved this not through rule books, but through an obsessive focus on collecting, sharing, and celebrating stories of service. Instead of a 10-point plan for “Customer Loyalty,” new employees are immersed in anecdotes about fellow staff: the flight attendant who bought a pizza for a stranded flight, the ground crew member who retrieved a teddy bear from a distant airport, or the employee who went above and beyond to comfort a nervous traveler. These stories—passed down in training, internal newsletters, and town halls—do not just describe the culture; they prescribe the behavior. They act as concrete examples of the abstract concept of “LUV,” making the company’s commitment to fun and service palpable and actionable.

The Result:

By making storytelling central to their internal communication, Southwest created an immediately recognizable, human-centered cultural fabric. The anecdotes serve as powerful, memorable standards of conduct that are far more effective than any memo. They guide autonomous decision-making in the moment, empowering employees to break rank for the sake of the customer experience. The enduring success of Southwest proves that a thriving, innovative culture is fundamentally a collection of great stories that its people choose to live out every day.


Conclusion: The Narrative Imperative

The era of leading with abstraction is over. If you want people to move—if you want to ignite genuine innovation, shift culture, and drive a strategic transformation—you must first move their hearts. The anecdote is your most potent tool, the linguistic delivery system for empathy and action. It allows you to take the vast, complex machinery of change and compress it down into a moment that every human can understand, remember, and internalize. As leaders, our role is not just to analyze the data; it is to master the narrative. We must become the chief story collectors and chief storytellers, for the enduring power of a single, well-told human story will always outweigh a thousand bullet points. The most effective strategies are not those that calculate best, but those that resonate best.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

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