In this groundbreaking episode, we explore why traditional engagement surveys are failing and how neuroscience is rewriting the rules of workforce performance. By understanding the biological drivers of motivation and stress, CHROs can build a workplace culture optimized for cognitive flow, leading to measurable gains in productivity and sustainable employee wellbeing.
CHROs are under pressure to improve performance, reduce burnout, and enable better decision-making – all while navigating hybrid work, talent shortages, and rising wellbeing risks. Yet many organisations are still relying on subjective measures to understand how employees think, focus, and perform.
Emerging insights from visual neuroscience are beginning to change that.
In this article, we explore key lessons from a conversation with Adam Gross, CEO and co-founder of HarmonEyes and RightEye, and what they mean for CHROs responsible for shaping the future of work, leadership capability, and sustainable performance.
The Problem With Subjective Performance Data
Here’s the uncomfortable truth: Almost everything we use to assess people is subjective.
Interviews rely on self-reporting. Performance reviews reflect manager bias. Engagement surveys capture what people are willing to say, not what they’re experiencing. Training assessments measure completion, not comprehension.
The cost? Mis-hires who looked great in interviews. High-performers burning out while reporting they’re “fine.” Training programs that check boxes but don’t develop capability. Promotion decisions based on presentation skills, not actual performance.
“When we do after-action reviews and look at responses to poor decision-making, we can get more granular and objective, not rely on subjectivity,” Gross explains.
What if you could measure what’s actually happening in someone’s brain – objectively, continuously, passively?
What Eye Movements Reveal
Your eyes tell a complex story about your brain. “Ultimately, 80% of what the brain processes is what it takes in through the eyes,” Gross notes. “But there was never really a tool useful in understanding that connection.”
Eye-tracking technology analyzes ocular signatures – patterns in how your eyes move—to detect:
- Cognitive load (bored, engaged, or overloaded?)
- Mental fatigue (how much is in the tank?)
- Stress levels (approaching burnout?)
- Attention and focus (fully present or drifting?)
These aren’t self-reported feelings. They’re objective, measurable patterns from involuntary eye movements.
“You can’t fake how your eyes move,” Gross emphasizes. “It’s objective, quantifiable, and can be monitored passively and non-invasively.”
For CHROs, this represents a move away from opinion-based assessments toward data-driven understanding of human performance.
Understanding Cognitive Load
Think of cognitive load like a bell curve.
Low load: You’re bored, disengaged. Performance suffers.
Optimal load: You’re engaged, attentive, with bandwidth for unexpected situations. Peak performance.
Overload: You can’t process anything else. Reaction times slow. Decision quality plummets. Safety risks increase.
“We’ve all felt that feeling of ‘I can’t process anything else,'” Gross says. “If something unexpected happens, I’m more likely to get into an accident because I’m overloaded.”
Your employees spend significant time in suboptimal cognitive states. Traditional solution? Ask how they’re feeling and hope they’re honest. React after problems occur.
The neuroscience solution? Measure objectively. Predict problematic states. Intervene before issues arise.
These metrics cannot be consciously manipulated and can be measured passively, making them particularly powerful for leadership and workforce applications.
For CHROs, understanding cognitive load opens new possibilities in:
- Leadership development programmes
- Training design and effectiveness
- High-stakes roles where decision quality is critical
Instead of assuming underperformance is a capability issue, leaders can identify whether individuals are under-stimulated, overloaded, or appropriately challenged.
Mental Fatigue and Burnout Prevention: Seeing the Warning Signs Earlier
Mental fatigue is different – it’s a preparedness metric. How much do you have in the tank when starting a task?
Someone was up late last night (personal stress, caregiving, insomnia). They show up looking fine, saying they’re fine. But their mental reserves are depleted. They’ll reach overload faster. Their decisions are compromised from the start.
And you have no idea until something goes wrong.
“Mental fatigue has a direct correlation to burnout,” Gross notes.
Consider: 77% of employees have experienced burnout at their current job. Burnout costs the global economy $322 billion annually. Most organizations only identify it after people quit or go on medical leave.
Eye-tracking can identify patterns of sustained high mental fatigue – early warning signs that someone’s heading toward burnout 4-6 weeks before critical threshold. You can adjust workload proactively, provide targeted support, and prevent costly attrition.
For CHROs, this shifts burnout from a reactive issue to a predictive, preventable one.
Transforming Key HR Functions
Talent Acquisition: Instead of relying on interview performance, add objective data. Candidates complete realistic work simulations via webcam. Eye-tracking analyzes their visual search patterns, cognitive load response, mental fatigue trajectory, and attention patterns. Compare them to high performers in the same role.
Training & Development: See exactly when learners mentally check out (bored). Identify which concepts cause overload (need simplification). Optimize training length based on fatigue data. Prove effectiveness with objective engagement metrics.
“Being able to understand when someone’s training and tie that to specific tasks – understanding root cause analysis of where things are breaking down so I can train to that,” Gross explains. “Ultimately, it speeds up training, which enterprises love.”
Real-Time Performance Support: The system doesn’t just identify current states – it predicts when someone’s about to reach a problematic state.
“We predict when that person’s going to reach a problematic state,” Gross says. “If you know ahead of time, you can pre-program interventions and prevent problems.”
Thirty seconds before the trader executes that $10 million decision while overloaded, the system suggests including a second reviewer. Potential mistake prevented.
Better Decisions Through Predictive Insight
One of the most compelling applications of visual neuroscience is prediction.
Rather than simply identifying a problematic state after it occurs, advanced models can anticipate when an individual is approaching cognitive overload or fatigue. This enables:
- Real-time interventions
- Adjusted workloads or task sequencing
- Human-in-the-loop decision support for high-risk roles
From financial trading floors to safety-critical environments, the ability to predict and prevent poor decisions has significant organisational value.
Accelerating Learning and Capability Development
Training effectiveness is a persistent challenge for HR leaders.
By combining eye-tracking data with learning environments, organisations can:
- Understand exactly where learners struggle
- Identify moments of overload or disengagement
- Tailor training to specific cognitive needs
- Reduce time to proficiency
This approach benefits both learners and facilitators, enabling faster, more targeted capability building.
Privacy, Trust, and Ethical Leadership
Any technology that measures human behaviour raises valid concerns around privacy and trust.
A key advantage of modern eye-tracking approaches is that they can operate passively, without capturing personal content or invasive biometric data. When deployed transparently and ethically, these tools can support employees rather than surveil them.
For CHROs, governance, consent, and purpose clarity are essential. The goal is empowerment – not control.
What CHROs Should Be Asking Now
As visual neuroscience becomes more accessible, CHROs should begin asking:
- Where do subjective assumptions limit our performance decisions?
- How early could we identify burnout, overload, or disengagement?
- Which roles would benefit most from objective performance insight?
- How do we balance innovation with trust and ethics?
The organisations that ask these questions early will be better positioned to lead in the next era of human performance.
Final Thought: A New Intelligence for Leadership
The future of HR will not be defined by intuition alone – it will be shaped by intelligent, ethical use of data that helps leaders see what was previously invisible.
The technology exists now. It works through devices you already have. The data is objective and actionable.
You can continue relying on subjective assessments and reactive interventions. Or you can embrace objective intelligence that reveals what’s happening in employees’ brains and act before problems occur.
“It’s about empowering leadership to have practical, easy to deploy, useful, private information that allows them to adapt in real time,” Gross explains. “It’s intelligence that hasn’t existed before.”
For CHROs navigating complexity, this is not about replacing judgment – it’s about strengthening it with insight.
About the Expert: Adam Gross is CEO and co-founder of HarmonEyes and RightEye, with 15 million validated eye movement records and 12 years of research deploying AI-powered cognitive wellness tools across enterprise, healthcare, military, and elite sports.
