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Why Pomodoro Can Lead to Inefficiency

5
 min read
Dr. Ramses Alcaide
This post originally appeared in:
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The Pomodoro Technique, which involves working for a set period (typically 25 minutes other timings do exist and have the same issue) followed by a short break, has become a popular productivity method. While it can be effective for some tasks, its rigid structure can lead to significant inefficiencies for many people. The core issue with Pomodoro and similar time-blocking techniques is their lack of personalization; they treat every task and every individual as if they have the same cognitive needs and rhythms. This one-size-fits-all approach fails to account for the complexities of how the brain actually works and leads to several key drawbacks.

Ignoring Cognitive Fatigue and Individual Rhythms

A major flaw of the Pomodoro Technique is its inability to accommodate individual cognitive rhythms and fatigue levels. Each person's brain operates differently; factors such as cognitive load capacity, stress, motivation and personal energy patterns significantly influence how we process and sustain focus on different tasks. This explains why some individuals may find tasks like accounting, which demand high attention to detail, extremely fatiguing after just an hour of work. The intense mental load involved in crunching numbers and maintaining accuracy can quickly deplete their cognitive resources.

On the other hand, there are individuals who can sustain this type of work for 14 hours and enjoy it (for me this would be playing video games). The Pomodoro Technique, with its rigid intervals, fails to account for this diversity. Forcing everyone into the same time-based constraints ignores these critical variations, often leading to counterproductive cycles of forced breaks or overexertion.

Brain data, by contrast, allows for the recognition of individual differences in focus endurance and fatigue thresholds. By tailoring work intervals and breaks based on each person's unique cognitive state, this approach ensures that both the one-hour accountant and the 14-hour marathon worker can perform at their best without burnout or frustration. This personalized flexibility leads to significantly more effective and sustainable productivity compared to rigid, one-size-fits-all methods.

The above examples illustrate how even the same person’s needs can vary dramatically based on their mental state and the task at hand. In the first scenario, after an early morning meeting, the person struggled to focus and needed a break. Once alerted to their cognitive state, they drank some coffee, which helped them regain focus and maintain productivity and focus for the day. In contrast, in the second scenario, the same person, well-rested and working on a task they genuinely enjoyed, achieved high levels of efficiency without interruption. However, in the third scenario, despite similar conditions to the second, various unknown factors influenced their cognitive state, causing them to need a break halfway through their focus session.

The brain is a dynamic, ever-changing system. Forcing it to adhere to a rigid schedule, like set work intervals and breaks, ignores this inherent variability and leads to significant productivity losses, taking work home and an increasing sense of anxiety as you feel like you got less done than what you expected. Adapting to real-time brain data ensures that our focus cycles align with our actual cognitive needs, maximizing efficiency and minimizing wasted effort.

One egregious example of this issue is how Pomodoro can interrupt deep work leading to an opposite affect to productivity. 

Interrupting Deep Work

Cognitive science shows that reaching a state of deep focus, known as "flow," often takes 15-30 minutes of uninterrupted concentration. By the time you’re fully immersed in a complex or creative task, the Pomodoro timer may signal it’s time for a break. This forced interruption can disrupt deep work, making it difficult to regain momentum and reenter a flow state once the break ends.

Recovering from such interruptions takes time and mental energy, meaning that frequent breaks can significantly reduce overall productivity. Instead of maximizing efficiency, users may spend much of their day transitioning in and out of focus.

Consider a scenario (like the one above) where you can maintain deep focus for nearly two hours without needing a break. Using the rigid structure of the Pomodoro Technique,you would have taken multiple interruptions: typically eight 5-minute breaks and at least one 30 minute break. The sheer time and productivity lost to these breaks when you are doing your best work is astounding, there's also the often-overlooked cost of regaining focus and getting back into the flow of your task. This cumulative disruption can easily translate to an hour or more of lost productivity.

Now, imagine the impact of being able to stay "in the zone" during those high-focus periods. Instead of constant interruptions, you maintain momentum, progress deeply into complex work, and achieve more in less time. This kind of uninterrupted productivity can reduce the need to bring work home, leading to greater efficiency, less stress, and a more balanced life. It’s a stark contrast to the rigid stop-start approach of techniques like Pomodoro, which can pull you out of peak performance just as you're hitting your stride.

Stress and Anxiety Induction

Pomodoro’s rigid timer can create a sense of urgency or pressure, especially when tackling complex tasks that require sustained, uninterrupted focus. Rather than encouraging productive work, the ticking timer can induce stress and cause anxiety, especially if a task isn’t progressing quickly enough. This pressure can decrease creativity and problem-solving ability, undermining overall effectiveness.

When tasks take longer than the preset interval, users may feel disheartened, creating negative reinforcement around their work habits.

Brain Data: A Personalized and Adaptive Solution

In contrast, using brain data to guide work sessions offers a highly personalized and adaptive approach to productivity. Unlike the rigid structure of Pomodoro, brain data provides real-time insights into cognitive states, allowing for interventions precisely when they’re needed. Here’s why it leads to greater efficiency:

Adapting to Your Cognitive State

 By continuously monitoring brain activity, tools like the Neurable App and MW75 Neuro can detect when your focus begins to wane. Instead of interrupting your work arbitrarily, it allows you to continue deep work as long as you’re performing optimally and only suggests breaks when your cognitive performance starts to decline.

This ensures that you’re making the most of your peak focus periods, maximizing the value of each work session.

Targeted Breaks

 Rather than forcing breaks at predetermined intervals, brain data enables you to take breaks precisely when needed to prevent cognitive fatigue. These breaks can be tailored to rejuvenate your brain, whether through quick mindfulness exercises, physical movement, or simply stepping away from work. By returning to tasks refreshed and ready to engage deeply, productivity and focus are maintained.   

Understanding Environmental and Behavioral Impact

Brain data can track how factors like your environment, task type, and even external distractions impact your cognitive state. This allows for personalized strategies that align your work habits with your brain’s natural rhythms, leading to more effective and sustained productivity.

Helping you go from the picture to the left to the picture to the right. Where you can see that a similar amount of time is spent but one leads to more efficiency points (how efficient you where per minute) even taking into account a 10 minute break. This benefit compounds longer your work sessions is. 

 

Reducing Stress and Anxiety

Unlike Pomodoro, which can induce stress through its rigid time constraints, brain data-guided approaches offer flexibility and responsiveness. By eliminating arbitrary pressure and allowing users to work in alignment with their brain’s needs, productivity becomes a more natural, less stressful process.

We also recommend reading How does the Neurable App Help You Build Mental Health Hygiene? To learn more about how we can help optimize your focus habits. 


2 Distraction Stroop Tasks experiment: The Stroop Effect (also known as cognitive interference) is a psychological phenomenon describing the difficulty people have naming a color when it's used to spell the name of a different color. During each trial of this experiment, we flashed the words “Red” or “Yellow” on a screen. Participants were asked to respond to the color of the words and ignore their meaning by pressing four keys on the keyboard –– “D”, “F”, “J”, and “K,” -- which were mapped to “Red,” “Green,” “Blue,” and “Yellow” colors, respectively. Trials in the Stroop task were categorized into congruent, when the text content matched the text color (e.g. Red), and incongruent, when the text content did not match the text color (e.g., Red). The incongruent case was counter-intuitive and more difficult. We expected to see lower accuracy, higher response times, and a drop in Alpha band power in incongruent trials. To mimic the chaotic distraction environment of in-person office life, we added an additional layer of complexity by floating the words on different visual backgrounds (a calm river, a roller coaster, a calm beach, and a busy marketplace). Both the behavioral and neural data we collected showed consistently different results in incongruent tasks, such as longer reaction times and lower Alpha waves, particularly when the words appeared on top of the marketplace background, the most distracting scene.

Interruption by Notification: It’s widely known that push notifications decrease focus level. In our three Interruption by Notification experiments, participants performed the Stroop Tasks, above, with and without push notifications, which consisted of a sound played at random time followed by a prompt to complete an activity. Our behavioral analysis and focus metrics showed that, on average, participants presented slower reaction times and were less accurate during blocks of time with distractions compared to those without them.

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