Unmasking Leadership: Why Experimentation Bias Keeps CEOs Stuck (and How to Get Real About Growth)

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Let’s get real for a minute.

You didn’t get to the C-suite by accident. You’ve built companies, led teams through chaos, and made decisions that kept the lights on when everyone else was panicking. You’ve earned your seat at the table.

But here’s the uncomfortable truth that most leadership coaches won’t tell you: the same skills that got you here might be the exact things keeping you stuck.

At People Risk Consulting, we’ve worked with countless CEOs who came to us frustrated. They had vision. They had strategy. They had teams ready to execute. But something was off. Growth had stalled. Innovation felt forced. And despite all their experience, they couldn’t figure out why.

The culprit? A sneaky little phenomenon we call experimentation bias, and it’s probably running your leadership playbook right now without you even knowing it.

What Is Experimentation Bias (And Why Should You Care)?

Here’s the thing about being a leader: you’re expected to have answers. Your board wants certainty. Your team wants direction. Your investors want confidence. So you learn to project all of those things, even when you’re not feeling them.

Over time, you develop what Dr. Diane Dye, CEO of People Risk Consulting, calls “masks.” The mask of competence. The mask of certainty. The mask of always knowing best.

These masks feel protective. They help you navigate high-stakes conversations and maintain credibility. But they come with a hidden cost.

Experimentation bias happens when leaders only run experiments that protect their ego instead of challenging their assumptions.

Think about it. When was the last time you tested a hypothesis that could prove you wrong? When did you last greenlight a project that made you genuinely uncomfortable, not because of the risk to the business, but because of the risk to your self-image?

Research shows that CEOs face significant obstacles to learning from experience. Many corporate learning opportunities occur infrequently during a leader’s tenure, meaning opportunities to learn from previous mistakes are few and far between. Worse, certain biases get reinforced rather than overcome, leaders tend to overestimate their personal control over outcomes and become overinvested in their own decisions.

This isn’t a character flaw. It’s human nature. But if you want sustainable, infinite growth? You’ve got to confront it head-on.

The Three Masks That Keep CEOs Stuck

Let’s break down the masks that create experimentation bias. See if any of these sound familiar.

Mask #1: The Competence Mask

This is the “I’ve got this handled” mask. You wear it in board meetings, investor calls, and team all-hands. It says: “I know what I’m doing. Trust my track record.”

The problem? When you’re always projecting competence, you stop asking for help. You stop admitting when you don’t know something. And you definitely stop running experiments that might expose gaps in your knowledge.

The cost: You miss out on diverse perspectives that could unlock breakthrough solutions.

Mask #2: The Certainty Mask

This mask projects unwavering confidence in your strategy. It tells everyone, including yourself, that the path forward is clear.

But real growth rarely comes from certainty. It comes from curiosity. From being willing to say, “I think this is the right direction, but let’s test it.”

The cost: You double down on strategies that aren’t working because admitting uncertainty feels like weakness.

Mask #3: The “Knowing Best” Mask

This is the most dangerous one. It’s the belief that your experience and intuition should override data, feedback, and dissenting opinions.

Yes, your experience matters. But when “knowing best” becomes your default operating mode, you stop listening. You stop experimenting with ideas that didn’t originate from you. And you create a culture where your team stops bringing you uncomfortable truths.

The cost: Innovation dies. Your best people disengage. And growth stalls.

The Real Reason You Fear Surprises

Here’s what Dr. Diane Dye has observed after years of consulting with executive leaders: most CEOs don’t fear surprises because they lack vision. They fear surprises because surprises threaten the masks they’ve worked so hard to maintain.

Think about it. A surprise means something happened that you didn’t predict. If you’re wearing the certainty mask, that’s a direct hit to your credibility. If you’re wearing the competence mask, it suggests a blind spot. If you’re wearing the “knowing best” mask, it means someone else saw something you missed.

So what do you do? You unconsciously design experiments and strategies that minimize the chance of surprise. You test things you’re pretty sure will work. You avoid the experiments that could reveal something you don’t want to see.

This is experimentation bias in action. And it’s killing your potential for real growth.

What Infinite Growth Actually Requires

Let’s talk about infinite growth: the kind of sustainable expansion that doesn’t plateau or burn out.

Infinite growth doesn’t come from protecting what you’ve built. It comes from being willing to tear down your assumptions and rebuild them based on what’s actually true.

That requires a different kind of leadership. One where:

  • Vulnerability is a strategic advantage, not a liability
  • Being wrong is data, not failure
  • Uncomfortable experiments are prioritized, not avoided
  • Surprises are welcomed as opportunities to learn, not threats to manage

At People Risk Consulting, we call this “unmasked leadership.” And it’s the foundation of every sustainable growth story we’ve seen.

How to Start Taking Off the Mask

So how do you actually do this? Here are four practices that People Risk Consulting recommends for CEOs ready to get real about growth:

1. Run One “Ego-Threatening” Experiment Per Quarter

Identify one assumption you’re deeply attached to: maybe it’s about your market, your team, or your strategy. Then design an experiment specifically to challenge it. Not to confirm it. To challenge it.

2. Create a “Surprise Welcome” Culture

Start celebrating surprises in your leadership team meetings. When something unexpected happens, resist the urge to find blame. Instead, ask: “What did we learn? What assumption was wrong? How does this make us smarter?”

3. Invite Dissent

Actively seek out the people on your team who disagree with you. Give them permission: and safety: to challenge your thinking. The best CEOs don’t surround themselves with yes-people. They surround themselves with people brave enough to say, “I think you’re wrong, and here’s why.”

4. Get Outside Perspective

This is where working with an experienced consulting partner like People Risk Consulting becomes invaluable. When you’re inside the system, it’s almost impossible to see your own masks. An outside perspective can hold up the mirror and help you see what’s really driving your decisions.

Ready to Have a Real Conversation?

Look, reading a blog post is a good start. But real transformation happens in real conversation: the kind where you can ask hard questions, get challenged, and walk away with actionable insights.

That’s exactly why we created the Brave Business Masterclass and Podcast.

This isn’t your typical webinar where you sit passively and listen to a polished presentation. This is a live experience where CEO Diane Dye and guests tackle the real challenges facing today’s leaders: including topics like experimentation bias, unmasked leadership, and sustainable growth.

You have two ways to join:

  1. Watch live as a passive viewer and absorb the conversation
  2. Register to join the interactive studio audience and participate in real-time discussion

Either way, you’ll walk away with practical frameworks and honest insights you won’t find anywhere else.

👉 Register now for the Brave Business Masterclass and Podcast

It’s time to take off the mask. It’s time to run the experiments that actually matter. And it’s time to get real about what growth looks like for you.

We’ll see you there.

Why 95% of AI Projects Fail: Is Your Change Management Experimenting or Just Guessing?

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Here’s a question that’ll make you uncomfortable: Are you actually experimenting with AI transformation, or are you just running expensive science fair projects and hoping something sticks?

Most CEOs think they’re being strategic. Think again.

95% of AI projects fail. Not because the technology is broken. Not because your team picked the wrong vendor. They fail because most change leaders are experimenting with the wrong mindset entirely.

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The $2.9 Trillion Reality Check

The 2025 MIT study analyzing over 300 enterprise AI initiatives reveals a brutal truth: only 5% of AI pilots reach production with measurable ROI. We’re not talking about small startups fumbling with chatbots. We’re talking about Fortune 500 companies with unlimited budgets, world-class tech teams, and C-suite buy-in.

Here’s the cascade of failure:

  • 80% of organizations explore AI tools
  • 60% evaluate solutions
  • 20% launch pilots
  • 5% deliver measurable impact

You’re not broken. You’re at a critical opportunity. But first, let’s unmask what’s really happening in that 95% failure zone.

Science Fair Projects vs. Real Experimentation

Most executives confuse activity with progress. They confuse pilots with experimentation.

Science Fair Projects Look Like This:
→ Flashy use cases that impress boards but don’t move metrics
→ Generic tools forced into existing workflows with zero adaptation
→ Front-office initiatives (marketing copy, customer chatbots) that eat 50-70% of budgets
→ No clear ownership, governance, or risk management protocols
→ “Let’s try this and see what happens” mentality

Real Experimentation Looks Like This:
→ Pick one specific pain point and execute with precision
→ Establish governance frameworks before rollout
→ Measure meaningful impact: customer retention, resolution quality, operational efficiency
→ Build organizational readiness as a prerequisite, not an afterthought
→ Create safe-to-fail environments with honest feedback loops

The difference? Intentionality. The failing 95% are essentially gambling. The successful 5% are running controlled experiments with clear hypotheses, measurable outcomes, and systematic learning.

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The Hidden Bottleneck: It’s Not Technology, It’s Change Leadership

Here’s what most change leaders get wrong: they treat AI implementation as a technology problem when it’s actually a workflow integration and organizational readiness problem.

The Real Failures:

  • Misalignment Between Tech and Business Reality → Organizations force AI into processes without adaptation
  • Human Factor Blindness → Skills gaps, workforce resistance, and cultural barriers get ignored
  • Wrong Problem Selection → Chasing high-visibility, low-impact initiatives instead of transformative back-office opportunities
  • Governance Gaps → No clear ownership models, risk protocols, or human-in-the-loop guardrails

Think about it. Large enterprises take 9 months on average to scale AI initiatives. Mid-market companies? 90 days. Why? Because bureaucracy and change management failures create artificial bottlenecks.

You’re not experiencing technology resistance. You’re experiencing change leadership breakdown.

The Successful 5%: What They Do Differently

The companies that win treat every AI initiative like a structured experiment. Here’s their playbook:

1. They Start with Organizational Readiness
Before touching any AI tool, they establish:

  • Clear governance frameworks
  • Defined ownership models
  • Risk management protocols
  • Change management strategies for workforce buy-in

2. They Pick Problems, Not Tools
Instead of asking “How can we use ChatGPT?” they ask “What’s our most expensive operational bottleneck?” Then they find AI solutions that specifically address that pain point.

3. They Partner Smart
67% success rate for companies that purchase specialized AI solutions and build partnerships vs. 33% success rate for internal builds. The successful minority recognizes that proven, battle-tested implementations beat custom solutions.

4. They Measure What Matters
Not deflection rates or usage metrics. Revenue impact, cost reduction, and operational efficiency. They tie every AI experiment to meaningful business outcomes.

5. They Empower Line Managers, Not Just Central Labs
AI labs are great for R&D. But real transformation happens when line managers have clear frameworks to drive adoption in their specific workflows.

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The Unvarnished Truth About Change Management Failure

I’ve watched too many CEOs bet big on “disruption” only to end up with confusion, chaos, and culture backlash. Here’s why:

You’re treating symptoms, not root causes.
→ Surface problem: “AI adoption is slow”
→ Root cause: No organizational readiness or change management infrastructure

You’re optimizing for demos, not delivery.
→ Surface problem: “Great pilot results don’t scale”
→ Root cause: No governance, workflow integration, or systematic learning processes

You’re solving the wrong problems.
→ Surface problem: “AI tools aren’t delivering ROI”
→ Root cause: Wrong problem selection focused on vanity metrics instead of business impact

The companies in the successful 5% don’t avoid these problems. They systematically solve them through structured change management and experimentation frameworks.

Your Experimentation Framework: From Guessing to Winning

Ready to join the 5%? Here’s how People Risk Consulting approaches AI transformation experimentation:

Phase 1: Organizational Readiness Assessment

  • Identify workflow integration points and resistance factors
  • Establish governance frameworks and risk management protocols
  • Create change management strategies for workforce adoption

Phase 2: Strategic Problem Selection

  • Map high-impact, low-risk opportunities (often in back-office operations)
  • Define measurable success metrics tied to business outcomes
  • Establish clear ownership and accountability structures

Phase 3: Controlled Implementation

  • Launch small-scale pilots with defined learning objectives
  • Build feedback loops for rapid iteration and course correction
  • Scale systematically based on proven results, not assumptions

Phase 4: Systematic Learning and Scaling

  • Document what works, what doesn’t, and why
  • Create replicable frameworks for organization-wide adoption
  • Build internal capability for ongoing AI transformation
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This isn’t about technology adoption. This is about change leadership mastery.

The Critical Question: Are You Ready to Experiment Differently?

Most leaders think they need better AI tools. What they actually need is better change management and experimentation frameworks.

The question isn’t whether AI will transform your business. The question is whether you’ll be in the 95% that fails or the 5% that succeeds.

Here’s your challenge: Take one AI initiative you’re considering. Before you evaluate tools or vendors, answer these questions:

  • What specific business problem are you solving?
  • What organizational readiness factors need to be addressed?
  • What governance and risk management protocols do you need?
  • How will you measure meaningful business impact?
  • What change management strategy will ensure workforce adoption?

If you can’t answer these with precision, you’re not experimenting. You’re guessing.

The leaders who win in 2025 will be the ones who treat AI transformation as systematic change management, not technology implementation. They’ll run controlled experiments with clear learning objectives. They’ll build organizational readiness before they build AI solutions.

Time to raise the bar. For your teams. For yourself. For your business.

The successful 5% are waiting for you to join them. But only if you’re ready to experiment like you mean it.


Ready to move from guessing to systematic experimentation? People Risk Consulting’s AI Transformation Masterclass provides the frameworks, tools, and peer learning environment to join the successful 5%. Limited seats available for executive cohorts starting Q1 2026. Learn more here.

The Revenue Stages of a Company Are a Lot Like Child Development

Why Your Company Behaves Exactly Like a Growing Child

If you’re feeling frustrated, your company may simply be acting its age.

As a CEO, you’re not just scaling revenue. You’re raising an organization through predictable developmental stages.

And just like children, each phase comes with behaviors, breakthroughs, and breakdowns.

Here’s what I see inside companies every day:


0 to 1M: The Infant Stage

Behavior:

  • Needs constant care
  • Survives on founder energy
  • Every system is manual
  • Everything feels fragile

Leadership Requirement:

You carry the whole thing. You are the lifeline, the nourishment, the safety.


1M to 3M: The Toddler Stage

Behavior:

  • Takes first independent steps
  • Wanders, experiments, touches everything
  • Creates chaos but surprises you with brilliance
  • “No” becomes a theme from customers, team, and systems

Leadership Requirement:

Guardrails. Structure. Consistency.

You can’t baby it anymore, but it’s not ready to self-regulate either.


3M to 10M: The Childhood Stage

Behavior:

  • Curious, growing quickly
  • More voices and opinions that still lack alignment
  • Complexity ramps up fast
  • Needs predictability and rhythm to feel safe

Leadership Requirement:

Culture imprints here.

Your company absorbs what you model, not what you say.


10M to 25M: The Preteen Stage

Behavior:

  • Identity confusion
  • Pushback on rules
  • Wants freedom but can’t fully handle it
  • Growth spurts followed by awkward stalls

Leadership Requirement:

You must evolve before the company can.

Alignment, communication, and recalibration are essential.


25M to 50M: The Teenage Stage

Behavior:

  • Strong opinions
  • Desire for autonomy
  • Bold moves and equally bold mistakes
  • Constant boundary testing
  • Rising pressure to perform

Leadership Requirement:

Clear, steady leadership.

Empowerment with accountability.

This is where many CEOs start masking instead of leading.


50M to 100M and beyond: The Young Adult Stage

Behavior:

  • Ready for bigger rooms but still needs direction
  • Capable of major breakthroughs
  • Can scale quickly or collapse under pressure
  • Needs systems, communication pathways, and real governance

Leadership Requirement:

Mature decision making, experimentation, and strategic depth.

This is the shift from firefighting to architecting.


What It Really Means When Your Company Feels “Off”

If your company feels “off,” it may be acting its age while you expect it to act older.

The mismatch is the real friction.

If you want clarity on your next stage of growth, I can help you find it.

Be Willing to Unlearn What You Think You Know: Why Modern Leaders Must Release Old Assumptions to Grow

By Dr. Diane Dye

In almost every executive room I facilitate, there comes a moment when a leader who is brilliant, experienced, and deeply successful hits an invisible ceiling. Not because they lack knowledge. But because the knowledge they’re relying on is built for a version of their business that no longer exists.

That’s when I offer to share a line that has become central to my teaching:

“Be willing to unlearn what you think you know.” — Dr. Diane Dye

This idea is not new. But considering our growing need for agility and innovation it is newly urgent.

While this phrasing reflects how I teach the principle, the concept of unlearning is rooted in well-established leadership and philosophical traditions. Understanding those roots helps leaders see just how essential, timeless, and necessary this practice really is.

Where the Idea Comes From: A Brief Look at the Foundations of Unlearning

Alvin Toffler and the Future of Adaptability

The futurist Alvin Toffler predicted the modern dilemma in Future Shock (1970). His famous line still echoes through leadership circles:

“The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn.”

Toffler understood that the pace of change would outstrip even the sharpest intellects unless leaders were willing to release outdated models. He wasn’t talking about forgetting. He was talking about making space for better information.

The world we operate in today is exactly the world he warned us about.

Zen Philosophy and the Power of Beginner’s Mind

Long before innovation labs and executive training existed, Zen philosophy taught Shoshin which is the concept of “beginner’s mind.”

Beginner’s mind is the willingness to approach a situation:

  • without ego
  • without assumptions
  • without the weight of past experience

It’s openness. Curiosity. Flexibility.

It’s the opposite of the rigid certainty that keeps leaders stuck.

How My Teaching Fits Into This Tradition

My phrase “Be willing to unlearn what you think you know” is simply a practical, modern expression of these timeless ideas:

  • Toffler’s insistence on adaptability
  • Zen’s call for openness
  • The real-world pressure leaders face when strategies that once worked suddenly stop producing results

It’s a bridge between theory and the day-to-day reality of executive decision-making.

Why Unlearning Is the Hidden Superpower of Today’s Leaders

Unlearning is not abandonment.

It’s evolution.

High-performing leaders often struggle not because they lack skills but because:

  • They’re anchored to old models
  • Their early strategies have become limitations
  • Their success created blind spots
  • Their identity is tied to outdated ways of operating

Unlearning is the process of loosening the grip on “what used to be true.”

Here’s how I teach it:

Unlearning is updating.

When the landscape shifts, your assumptions must shift with it.

Unlearning protects your legacy.

It ensures your past success doesn’t become the reason you stall.

Unlearning creates fresh capacity.

You can’t innovate on a full hard drive.

Unlearning restores perspective.

It reopens doors that certainty quietly closed.

The Leaders Who Grow Fastest Share This One Trait

They remain students.

They don’t cling to what made them successful. They stay curious, experimental, inwardly honest, and outwardly adaptable.

They embody both Toffler’s insight and the spirit of beginner’s mind, even when they’ve built companies worth tens or hundreds of millions.

The leaders who thrive are those who are willing to say:

“What if I’m wrong? And what else could be possible?”

That question alone can unlock years of stalled growth.

A Closing Thought

The world doesn’t reward the most knowledgeable leaders anymore.

It rewards the most adaptable.

Whether you draw from Toffler, Zen philosophy, or modern executive tools, the truth remains:

Your next breakthrough rarely requires more information.It requires the courage to release the assumptions holding you back.

And that begins with the willingness and humility to unlearn what you think you know.