How to Improve Focus and Concentration at Work

ByDeepHealth
Attention Neuroscience Cognitive Performance Organisational Health

How to Improve Focus and
Concentration at Work

What Your Organisation Is Getting Wrong About Attention

Most advice on focus at work starts and ends with the same prescription: try harder. Block your calendar. Turn off notifications. None of it addresses the actual problem. Attention is not willpower. It is a finite, measurable physiological resource.

Sanjay Dev
Sanjay Dev Founder, Deep-Health
July 2026·17 min read

After two decades of working with executives, founders, and leadership teams on human performance, I can tell you that the single biggest reason most corporate focus initiatives fail is this: they treat attention as a character trait rather than a biological system. And if your diagnosis is wrong, your intervention will be wrong too, no matter how well intentioned.

Attention is not willpower. It is a finite, measurable physiological resource, produced by specific brain circuits, regulated by specific neurochemicals, and depleted by specific, quantifiable demands. Until you understand the machinery underneath, you are guessing. And organisations cannot afford to guess on something that directly governs decision quality, error rates, and the cognitive output of their most expensive people.

Neuroscience distinguishes between several attentional systems that operate somewhat independently. There is alerting, the general state of being awake and ready to respond. There is orienting, the ability to direct attention toward a particular stimulus or task. And there is executive attention, the capacity to hold a goal in mind, resolve conflict between competing demands, and suppress irrelevant information. Each draws on different neural circuitry. Which is why someone can feel perfectly awake but unable to concentrate.

For knowledge work, the form that matters most is executive attention. That depends heavily on the prefrontal cortex (PFC), particularly the dorsolateral prefrontal cortex. Foundational work by neuroscientist Earl Miller at MIT, formalised with Jonathan Cohen at Princeton, established something critical: the PFC does not simply react to stimuli. It actively generates “goal representations,” internal signals that bias competition between different streams of information in the brain. Prefrontal goal representations enable weaker, task-relevant signals to outcompete more habitual ones by boosting activation for what matters and suppressing competing noise through lateral inhibition.

When this system works well, distractions barely register. When it is taxed, depleted, or under-resourced, irrelevant information breaks through far more easily. That is what distractibility actually is. Not a failure of character. A failure of a biological system that has run out of fuel.
Section 01

The Neurochemical Engine Behind Your Focus

Two neuromodulators do most of the heavy lifting in regulating attention from moment to moment: norepinephrine and dopamine.

Norepinephrine is produced by a small brainstem structure called the locus coeruleus (LC). For decades it was treated as a simple “volume knob” for overall arousal. Recent research paints a far more interesting picture. A 2024 study by Supriya Ghosh and John Maunsell at the University of Chicago, published in Neuron, demonstrated that responses of norepinephrine neurons in the locus coeruleus to behaviourally relevant stimuli promote visual discrimination in a spatially selective way. The LC is not just producing diffuse alertness. It is causally and selectively sharpening attention toward what currently matters.

Think of the locus coeruleus less as a volume knob and more as a precision spotlight that the brain points at whatever is most salient. And critically, this spotlight can be trained to point more reliably with the right physiological inputs: adequate sleep, appropriate exercise, and managed stress levels.

Dopamine governs a related but distinct function: working memory, your capacity to hold information in mind long enough to actually use it. Working memory requires attention and is critically dependent on the neuromodulator dopamine. This is why fatigue, low motivation, and dopamine-depleting patterns (excessive high-stimulation digital content being a common modern culprit) tend to degrade not just your drive to work, but the basic mechanics of holding a thought in mind while you work on it.

Here is where it gets practical: these circuits do not engage instantly. There is a genuine spin-up cost to entering a focused state. Research suggests allowing at least five to ten minutes for attention levels to fully engage when beginning a cognitively demanding task, because the circuits responsible for attention, motivation, and pursuit need time to warm up, much like the body needs a warm-up before physical exercise.

This single mechanism explains why constant task-switching is so destructive. Every switch is not a free, instantaneous reallocation. It is a fresh cold start. Every time.
Section 02

The Cost of Interruption Is Larger Than You Think

The intuitive sense that interruptions are bad for focus is correct. But most people drastically underestimate the scale. A 2024 study published in the journal WORK found that the cost of interruption rises sharply during complex tasks like strategic planning, analysis, or writing, where cognitive load is greater and the return lag to full productivity is longer. This is precisely the kind of work that fills most of a senior leader’s day.

The error-rate findings are particularly sobering. Research has shown that an interruption lasting just 2.8 seconds can double the number of errors employees make on a task. That interruption is shorter than the time it takes to read this sentence. For anyone working in compliance, financial modelling, or client-facing decision-making, this is not an abstract concern. It is a direct, measurable risk.

Then there is what researchers call “attention residue.” Even after you consciously move to a new task, part of your cognitive processing remains tied up with the previous one. Even when you think you have moved on from that unfinished email or unresolved conversation, some of your mental bandwidth is still quietly allocated to it, reducing what is available for the task in front of you.

Microsoft’s 2025 Work Trend Index found that employees now experience interruptions roughly every two minutes during core work hours, totalling approximately 275 interruptions daily from meetings, emails, and chat notifications. Nearly six in ten workers are unable to sustain focus for even 30 minutes without being sidetracked.

From a neurobiological standpoint, this describes an environment that is close to maximally hostile to the kind of sustained executive attention that produces high-quality strategic work.

Section 03

The 90-Minute Focus Rule Deserves More Scrutiny

This is an area where intellectual honesty matters more than having a neat answer. The idea that the brain runs on a fixed 90-minute “ultradian rhythm” governing focus originates from sleep researcher Nathaniel Kleitman’s mid-20th century work on the basic rest-activity cycle. It gets repeated constantly in productivity content, often presented as settled neuroscience. The actual peer-reviewed picture is mixed.

Some studies have found supportive evidence. Research by Hayashi, Sato, and Hori, published in Perceptual and Motor Skills in 1994, measured EEG power, mood, performance, and self-evaluation every fifteen minutes over nine hours and found temporal fluctuations broadly consistent with the basic rest-activity cycle. But a study by Neubauer, published in Biological Psychology in 1995, tested sixty subjects every ten minutes for nine hours and found no significant 90-minute periodicity for any measured variable. Longer periodicities were the major source of variance.

The honest conclusion: something real is happening. Hormonal pulsatility and natural fluctuations in alertness across the day are well documented. But the specific, fixed 90-minute number that gets marketed so confidently is not robustly supported as a universal law. What the evidence does support is that working in long, undifferentiated stretches without any break degrades performance, and that working in defined blocks with deliberate recovery periods improves both output and subjective experience. The precise length varies by individual, by task type, and by time of day, more than the popular framing admits.

Test your own rhythm rather than importing someone else’s number.
Section 04

Individual Variation Is Not a Footnote

The most common error in workplace focus programmes is treating attention capacity as uniform across a workforce. It is not. Two dimensions of variation have particularly strong evidence behind them.

01

Hormonal Variation

A combined longitudinal and cross-sectional study (2025) found that sex differences in information processing speed and executive functioning between men and women were observed specifically when women were in their low-oestradiol menstrual phase. These differences disappeared when oestradiol levels were higher during the pre-ovulatory phase. Women performed better on memory and attention tasks just before ovulation, and processing speed differences appeared only during the menstrual phase. A flat, identical expectation of cognitive performance across a full hormonal cycle, applied uniformly to all employees regardless of sex, is not grounded in the underlying physiology. Treating the female body’s hormonal cycling as a variable to design around, rather than a deviation from a male-default norm, produces better outcomes. This is not an accommodation. It is accuracy.

02

Age-Related Variation

Sustained attention networks show measurable change with age. A randomised controlled trial found that four weeks of meditation training (three twenty-minute guided sessions per week) significantly improved sustained attention in community-dwelling older adults, as measured by both behavioural accuracy and neural signatures. This matters specifically for senior executives in their 40s, 50s, and beyond, who carry the highest cognitive load in an organisation while experiencing natural shifts in attentional resilience, and who often have the least structural permission to acknowledge it. A single fixed prescription applied identically to every employee regardless of sex, age, chronotype, or role demand is a poor fit for what the biology shows. The evidence supports individualised calibration far more than universal rules.

Section 05

Where Organisations Get the Diagnosis Wrong, and What Actually Works

Organisations overwhelmingly default to individual-level interventions for what the data shows is substantially a structural and cultural problem. A meditation app, a wellness webinar, a productivity workshop: these address internal interruptions, the task-switching and anxiety-driven checking behaviours that employees generate themselves. They do nothing about external interruptions, the ones triggered by other people and by technology, which are addressable only through policy, culture, and environment design.

Research indicates open-plan offices increase workplace distractions by approximately 25 percent compared to environments with private or semi-private offices, despite remaining the dominant layout. An organisation that has invested in open-plan offices, encourages instant messaging responsiveness as a cultural norm, and then offers employees a mindfulness app to “improve their focus” is asking individual biology to compensate for structural design choices.

Biology will lose that fight every time.

Estimates suggest US businesses lose roughly 650 billion dollars each year to workplace distractions, a figure capturing direct time loss but not the deeper costs of degraded decision quality and increased error rates. For a CFO evaluating whether a focus and performance programme is worth funding, this is the correct frame: not “wellness spend” but a quantifiable productivity and risk-reduction line item. The evidence separates clearly between what works and what only appears to.

Highest Impact, Strongest Evidence

Protect uninterrupted blocks of 45 to 90 minutes for the most cognitively demanding work. The exact duration is individual, not fixed. Attentional circuits take real time to engage, and each interruption forces a fresh cold start.

Reduce interruption frequency at the structural level. Individual discipline cannot solve a problem operating at once every two minutes. This requires policy-level changes: defined “no-message” windows, batched communication norms, meeting reduction.

Build genuine recovery between blocks of demanding cognitive work. Not screen-based “breaks.” Real disengagement, movement, or rest. Sustained attention without recovery shows measurable performance decay.

Evidence-Based Priority

What Doesn’t Hold Up

Multitasking as a learnable skill. The cognitive architecture does not support genuine parallel processing of two attention-demanding tasks. What looks like skilled multitasking is rapid serial switching, carrying full warm-up and residue costs regardless of how practised someone is.

Removing all stimulation as a blanket strategy. The dopamine evidence suggests the better target is managing the pattern and timing of stimulation, not eliminating it entirely.

A fixed, universal 90-minute work block mandated for everyone. Contested in the literature, and prescribing it uniformly creates the same individual-variation mismatch described above.

Common but Unsupported

Three additional interventions have strong supplementary evidence:

Time caffeine deliberately: 50 to 200 milligrams improves alertness and performance. At 400 milligrams and above, cognitive benefit does not increase but side effects do. Avoid caffeine within six hours of bedtime to protect the sleep architecture that resets these systems overnight.
Build a short, deliberate attention-training practice. A 2020 study by Bauer et al., published in Human Brain Mapping, showed that eight weeks of mindfulness training preserved sustained attention and resting-state functional connectivity between the default mode network and the dorsolateral prefrontal cortex. Two to eight weeks for measurable change, depending on consistency.
Calibrate expectations around individual variation rather than applying uniform rules. For organisations, this means not flagging variation in processing speed across the menstrual cycle as a performance issue. For individuals, this means learning your own pattern.
Organisations that treat this as a personal resilience problem are applying the wrong intervention to the right diagnosis. Sustained attention is a measurable, trainable, and structurally influenced capacity, directly tied to decision quality, error rates, and leadership output. It is not a wellness perk sitting alongside the gym membership.

Organisational Health and Performance Programme

A serious corporate performance programme does not hand your leadership team a meditation app and call it done. It changes the system that is depleting them.

At Deep-Health, we address focus and cognitive performance by diagnosing both the individual physiological picture and the organisational structure generating the interruption load, then building targeted interventions around the mechanisms that actually govern attention quality.

Explore Organisational Programmes

Research References

Earl Miller (MIT) and Jonathan Cohen (Princeton) – Cognitive neuroscientists. Referenced for foundational work on prefrontal cortex goal representations and the biased-competition model of attentional control.

Supriya Ghosh and John Maunsell, University of Chicago – Referenced for their 2024 study in Neuron demonstrating that locus coeruleus norepinephrine neurons promote spatially selective visual discrimination in response to behaviourally relevant stimuli.

Nathaniel Kleitman – Sleep researcher who originated the basic rest-activity cycle hypothesis in the mid-20th century, the basis for the 90-minute ultradian rhythm claim.

Hayashi, Sato, and Hori (1994) – Study published in Perceptual and Motor Skills finding temporal fluctuations broadly consistent with the basic rest-activity cycle across a nine-hour period.

Neubauer (1995) – Study published in Biological Psychology finding no significant 90-minute periodicity across sixty subjects, contradicting the strong version of the ultradian rhythm claim.

Bauer et al. (2020) – Study published in Human Brain Mapping showing eight weeks of mindfulness training preserved sustained attention and resting-state functional connectivity between the default mode network and the dorsolateral prefrontal cortex.

Microsoft Work Trend Index 2025 – Industry research report cited for data on interruption frequency (approximately every two minutes) and daily interruption count (approximately 275 per employee).

WORK journal (2024) – Peer-reviewed journal. Referenced for research on the rising cost of interruption during complex cognitive tasks.

Disclaimer

The information presented in this article is intended for organisational leaders, HR professionals, and people function practitioners evaluating cognitive performance and focus strategies. It draws on published research in neuroscience, cognitive psychology, and organisational behaviour. References to specific researchers, studies, and journals are cited for transparency; this article does not constitute a systematic review or clinical publication. Discussion of neurobiological mechanisms is presented for leadership and organisational application, not clinical diagnosis or treatment guidance. Deep-Health does not endorse specific tools or protocols without prior individual or organisational assessment. This content reflects the author’s analysis based on clinical literature and professional experience.

Sanjay Dev

Sanjay Dev

Founder of Deep-Health. 20-plus years working with founders, executives, athletes, and organisations at the intersection of neuroscience, physiology, and behavioural biochemistry.