I have always been very conscious about how and where I spend my time. While I paid a lot of attention to the obvious ways to be more productive—create a distraction-free focused zone, limit time on social media, divide my work into small blocks of time, and take regular breaks to revive and rejuvenate—I missed a crucial element that often gets in the way of our productivity.
Our brain.
The human brain has this remarkable cognitive capacity to perform at levels far beyond what we consider our natural abilities, but it’s not without its limits. The cognitive biases that enable the brain to prioritize and process large amounts of information quickly also get in the way of our productivity. These mental shortcuts are the brain's way to conserve energy and work more efficiently. But they also lead to many thinking errors.
Here are the 4 cognitive biases that have the biggest impact on our productivity—how we prioritize, make decisions, manage time, and get work done.
When an urgent task comes knocking at the door, do you push important work aside because urgent tasks demand your immediate attention while important goals are far off into the future and can wait until later?
Urgency effect makes us jump at every chance to solve time-sensitive urgent matters while putting off important work. Rationally our brain knows that important tasks have a larger payoff and bigger rewards in the long run, but under the effect of this bias, we fall victim to perceiving urgent as important.
Urgent tasks keep us busy and make us feel important, but they also suck into our time. Prioritizing it at the expense of more impactful work keeps us trapped in an illusion of productivity.
Important tasks typically have no specific deadline. They are time-consuming and complex as they often require looking into the future and proactively identifying its needs. Giving clarity to vague ideas, making crucial decisions, or laying out a future strategy is not only time-consuming, it’s also mentally taxing.
Urgent tasks have easy-to-reach, visible goals. They bring instant gratification with a big hit of dopamine. Since dopamine serves as a reinforcement for remembering and repeating pleasurable experiences, you end up dedicating more time to urgent tasks at the expense of more impactful work.
Continuously pushing important tasks to the back burner keeps us locked in a never-ending cycle of unproductive choices—dedicating less time to important work inevitably creates more urgency later. Important tasks become urgent in due course of time if delayed too much, not given proper attention, or carried out without real interest.
Gina is the tech manager of the CRM team. The latest releases in ChatGPT and other AI innovations is becoming a threat to her business. But instead of spending time planning how to make them a part of their future strategy, Gina ends up spending most of her time on emails, meetings, and other urgent tasks. Her busyness keeps her locked in a cycle of unproductivity and inefficiency.
Urgency effect makes her pay more attention to the work right in front of her—emails, chat notifications, customer escalations—while pushing important work aside.
A great practice to avoid urgency bias involves using The Eisenhower Matrix for prioritization. To put the Eisenhower matrix to use, go through each task one by one and separate them into four possibilities:
Consciously scheduling dedicated hours on the calendar to do important work makes it more likely that you attend to them without interruptions.
A few other practices to adopt:
Thoughts of unfinished tasks keep popping up in our head right when we get down to work or are trying hard to focus.
*Emails we haven’t replied to.*
Pending design to compete.
Meetings to schedule.
… so on and on.
These intrusive thoughts that take away our attention even for a split second make it hard to concentrate and get any meaningful work done. Distractions from incomplete work prevent us from entering into a state of flow—which is when we are completely immersed in a task and the time seems to stand still. Flow minimizes distractions, prevents procrastination, and lead to high performance and productivity.
Named after psychologist Zeigarnik who first discovered it, the effect refers to the tendency to remember unfinished or interrupted tasks better than completed ones. Letting our brain continually remind us that we haven’t done something is quite unpleasant and it can even lead to stress, anxiety, and burnout.
Zeigarnik and her professor Kurt Lewin observed that their restaurant waiters remembered everyone’s orders despite never writing anything down. But as soon as the bill was paid, they had little or no memory of who their customers were or what they had ordered.
This led to a series of experiments based on which Zeigarnik concluded that human minds treat tasks that have been completed differently from those that are still left to be completed. A task that has already been started establishes a task-specific tension, which keeps it at the forefront of our memory. The tension is relieved upon completion of the task but persists if it is interrupted or not yet completed.
That’s why unfinished tasks keep coming back to haunt us. Look another way, these reminders can be useful to help us finish incomplete projects only if they do not spoil our attention right in the middle of another project.
Attention is like energy in that without it no work can be done, and in doing work is dissipated. We create ourselves by how we use this energy. Memories, thoughts and feelings are all shaped by how we use it. And it is an energy under control, to do with as we please; hence attention is our most important tool in the task of improving the quality of experience.
― Mihaly Csikszentmihalyi
Zeigarnik effect is used in gamification:
Moving tasks from your head onto paper relaxes your brain and helps you focus on the task at hand.
A few other practices to adopt:
Given a choice between two competing solutions, we are likely to choose the more complex one.
Jargon catches our attention over simple explanations.
Difficult-to-execute strategies impress us over straightforward ones.
Sophisticated products appear more authoritative while ordinary ones appear inferior.
But complexity has many problems:
Complexity bias is the tendency to prefer complicated explanations, solutions, and arguments over easy ones.
Many people mistake simple for easy. Finding simple solutions to problems may sometimes require more effort—a conscious effort to dig deeper and give way to our creative mind, avoiding biases to cut through complexity and finding solutions that do not require too much scaffolding to support.
Complexity in such cases could be an excuse to label the problem as too confusing and shove it aside.
We choose complexity over simplicity for another reason: it’s falsely associated with expertise, innovation and authority. The more complex or advanced the approach is, the more superior it appears. Put another way, if a solution is too simple, we assume it won’t solve the problem.
This makes us inject complexity and over complicate things instead of choosing a simpler approach.
\As Edsger Wybe Dijkstra, a Dutch computer scientist once said “Simplicity is a great virtue but it requires hard work to achieve it and education to appreciate it. And to make matters worse: complexity sells better.”
Jim got an opportunity to prepare and present the design of a new product to his entire team. He wanted the solution to stand out and establish credibility with others.
But instead of asking the question “What problem is this product required to solve and how can I solve it in the simplest way possible?” he asked, “What problem is this product required to solve and how can I make it look good?”
Trying to make the solution appealing led to poor choices:
Complexity bias in his case led to poor decisions and terrible choices.
To counteract complexity bias, apply Occam’s razor. It is one of the most useful mental models to solve problems. Occam’s razor advocates simplicity by focusing on key elements of the problem, eliminating improbable options, and finding solutions with fewer assumptions.
Another useful mental model to reduce complexity is first principles thinking. It requires breaking down a problem into its fundamental building blocks (its essential elements), asking powerful questions, getting down to the basic truth, separating facts from assumptions, and then constructing a view from the ground up.
A few other practices to adopt:
When it comes to setting deadlines, most of us are highly optimistic. Even if it’s something similar to what we have done in the past, we are still likely to underestimate how much time it will take to do it in the future.
It took one week to finish a design proposal last time, but if you have to do it again, you’re positive it will get done in less than a week.
It took more than a month for your new hires to get onboarded last time, but while planning for the new batch coming in next week, you allocated only 2 weeks.
The planning fallacy is what makes us commit to overly optimistic timelines, miss those deadlines, and then drown in guilt, anxiety, and stress. Not factoring in realistic demands of the task leads to poor planning for the future. It harms your reputation and also breaks trust because when you miss those deadlines, others assume that you don’t take your commitments seriously.
When estimating the time it will take to complete a specific task, we ignore risks and other unlikely events that may prevent us from completing the task on time.
Taking the best-case scenario into account and ignoring the obstacles we might encounter along the way leads to wishful thinking. We have the best intentions to get the work done quickly and efficiently, but good intentions aren’t always enough. Good planning needs good estimation skills.
Another reason why we are highly optimistic about completing a specific job is our tendency to get stuck in the nitty gritty while ignoring the big picture. Not taking the big picture into account leads to poor estimation—we make wrong assumptions and ignore the time it will take to integrate our work into the bigger picture.
We are also really bad at accurately judging our skills and abilities. Our enthusiasm to meet our goals adds to the planning fallacy.
\Worst part? We don’t even learn from our past mistakes. Even when we can recognize past mistakes when we are overly optimistic, we keep on making the same mistakes in the future.
We focus on our goal, anchor on our plan, and neglect relevant base rates, exposing ourselves to the planning fallacy. We focus on what we want to do and can do, neglecting the plans and skills of others. Both in explaining the past and in predicting the future, we focus on the causal role of skill and neglect the role of luck. We are therefore prone to an illusion of control. We focus on what we know and neglect what we do not know, which makes us overly confident in our beliefs.
― Daniel Kahneman
Tina is working on the estimates of a new product. She has worked on a similar product in the past. The last time she built the product, it took her 3 months to complete. The project was initially estimated for 2 months but took an additional month due to requirements changes, a longer testing cycle, and other unforeseen issues.
Tina has experience from the past that she should put to use to determine how long it will take to complete the current project. However, due to the planning fallacy, she commits to a 2-month deadline again. She justifies it by assuming that her experience from the past project will help her finish the tasks sooner while completely disregarding the additional time it will take to handle unexpected issues.
Break down the project into small parts and estimate how long each one will take. Doing this work upfront will make your effort estimates much closer to reality than being vaguely guided by hunch.
Another great strategy is the one recommended by Daniel Kahneman - He suggests taking an outside view of your estimates by consulting others—asking questions and identifying problems and mistakes they made on similar projects in the past. You can’t do this for all your tasks but definitely do it for your most crucial ones.
Irrespective of how good you’re at estimation, some unlikely event can crop up and make your project fall through the cracks. It isn’t possible to take every such scenario into account and plan for it. But what’s possible is to add a little buffer to your estimates—add 20% breathing room while considering the effort it takes to do something.
Finally, and this is the most important one: implement a feedback loop in your process. Track your time. Make a note of how long it takes to do something. When you miss deadlines, identify what mistakes you made and what changes you need in your planning process to do better next time.
When you’re conscious of how these biases—Urgency effect, Zeigarnik effect, Complexity bias and Planning fallacy—affect your time and apply the right strategies to overcome them, you can be your most productive self.
This story was previously published here.
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