I have long believed and now I know that is backed by research that multi-tasking doesn’t quite work. When you switch context to check that beep from your phone, it takes your brain about 15–20 minutes to come back into the flow state. A surprising research in the last month showed that a phone kept upside down on your desk has a detrimental impact on your productivity.
That said, it is extremely hard to manage your focus when you are sitting in an open office space, with the web right in front of you, emails shouting for attention and time and again I find that I am lost.
I use the Pomodoro technique to manage my focus when I find that I am off the beaten track. I was surprised to hear that a colleague hadn’t heard about the technique. So here goes…
The name Pomodoro, is based on kitchen timers in Italy. The timers looked like tomatos and you twist them to start a 25 minute block.
The technique itself is very easy. Whenever, you want to focus, you start the timer and focus on 1 task for 25 minutes. Once you reach the 25 minutes time frame, take a 5 minute break and start again. Run through four pomodoro’s and take a 10 minute break.
To be candid, I have never been able to run through 4 pomodoro’s back-to-back but getting to 2–3 improves productivity significantly.
Another iteration on the technique is that your daily plan should include a certain number of pomodoro’s that work for you. For example an 8–10 pomodoro day would be an extremely productive day. In this case, you drop your checklists, find slots to make progress and get through items in those focus blocks.
From a tooling perspective, timer on your phone works easily. There are a number of Chrome extensions that keep track of your pomodoro on the web.
So I was on a 2 week vacation — my first in 15 years! Thoroughly enjoyed visiting new places and reading a lot — book notes to come in the next few weeks. Meanwhile, I decided to take it easy on the blog writing for those weeks and I will get back to it starting this week. Meanwhile, here is what is worth sharing this week.
[Travel] Day 1 in Santorini Fira, Day 2 in Santorini — Walk to Three Bells of Fira
[Productivity] An article that recommends you to split your day into a makers and a managers schedule
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2017 was the year I agonised over buying a Tesla Model X. I ran through all the reasons I needed it — beautiful, gorgeous, drives fantastic, best technology and green. I just couldn’t come to a conclusion, because the price was a serious consideration. The problem at hand was that the reasons I wanted to buy it were intangibles.
That brings us to a key component in decision making — what do you do when you are facing a decision and there are numerous intangibles at hand? Paraphrasing Lord Kelvin, the famous British physicist, “The challenge of intangibles — when you can measure something and express something in numbers, you know what you are speaking about. If you cannot speak about it in numbers, then the knowledge is meager and you have scarcely advanced the state of science.”
As I looked around in other areas of my life, I saw that there were a number of other decisions that I couldn’t make progress on. They were also stuck because of intangibles. Some good examples that come to mind in the life of a product manager are: the value of open source software, when your product is driven by OSS; the value of adoption of open source software; what does virality mean for success of a product — how much should we be investing in virality; how to choose between competing features to make the most impact for the organization. I could talk to these decisions very well, had anecdotal evidence and experts backing those decisions…but they fundamentally were intangibles.
I have always been fascinated by literature on decision making and find that most recommendations range from “Just do it” to mind-numbing, if-then-else analysis. Douglas Hubbard presents a scientific, probability-based framework to reduce uncertainty through your decision making progress.
Paraphrasing Hubbard, “Decisions fundamentally are about a choice in the path ahead where decision makers have imperfect information. This lack of information causes uncertainty. Measurement is a type of choice among others to reduce this uncertainty. For any decision, you can typically measure a large combination of things, but you can never achieve perfect certainty.”
Thus, the right way to think about decisions is that a decision is a decision because one cannot articulate the right value of each of the choices ahead. The way to reduce the uncertainty, then, is to measure the things that reduce that uncertainty, knowing fully well that you cannot — and should not — measure everything that informs the decision, because too much information causes information overload. The key part of measurement is to assign an economic value to the measurement. Let’s say, you as a decision maker are looking to improve delivery of value from the organization. Measuring productivity of employees could be a type of measurement, and instead of measuring how much time an employee spends on each of the activities, quantify the business value of each of the areas she spends most of her hours on. Thus, if you get the employee to spend more time on activities that drive more business value, you can get more productivity from the system.
So how does one proceed, so that one isn’t stuck at the end of a spectrum that has “just do it” as the starting point and “analysis paralysis” as the ending point?
The ladder of better decision making starts by stepping back and questioning the decision. Check if you are asking the right question. Most hard problems in life and business can be solved by asking the right questions. If you are indeed asking the right question, then do the following (Hubbard calls it Applied Information Economics; with some color from my past readings on this topic).
Define the decision. If the decision isn’t informing a significant bet, don’t measure anything. If the decision is easily reversible, just make a decision and move on.
Determine what you know about the decision. Identify the key informational vectors that inform you more about the decision (hours working, vs hours spent on the most impactful activity).
Compute the value of additional information (if none, go to step 5). Additional information is the information that you need to drill down into and measure.
Measure where information value is high (return to steps 2 and 3). High information value implies tying some sort of economic benefit to it (improving productivity implied measuring and identifying most impactful hours). This really is the key to better decision making — tying some sort of economic value to your intangibles.
Make a decision and act on it (return to step 1 and repeat as each action creates new decisions).
Typically, as you do steps 3, 4 and 5, you will find that each decision opens a cascade of micro-decisions that may have their own measurements to help build the case for the overarching decisions that you will rinse and repeat on.
So how did this framework help me?
I made the call on the Tesla before I read the book and was pleasantly surprised that my mental model roughly followed the framework. I put an economic value on each of the subjective axis, compared with the cost of the vehicle and came up short. I passed over the Tesla for a Lexus RX 350, knowing full well that I will evaluate my decision in the year ahead and these values may change — c’est la vie.
On the “business value” delivered by my team, I have instituted a “business value pointing” system offered by a tool called Aha. The vectors that constitute the business point are subjective. That is okay, because the scores on the vectors are informed by the expertise that my team has built up so far. We are drilling down on step 3 right now.
On understanding the “value of adoption of OSS” or “virality of a product” — I am on a journey and am hoping to find the right measurements to taking the decisions from “expert-led” to a state of science.
What decision frameworks work for you? Let me know in the comments section, below.
– Article heavily influenced by How to Measure Everything, by Douglas Hubbard.
If you ever held a job that requires you to drive long distances or hop into trains switch to a cab etc etc, you surely have noticed that you arrive tired at work. But that’s not all, there is something more insidious that is going below the surface – you maybe making bad decisions that grow progressively worse before the day ends.
The reason for bad decisions is decision fatigue . Decision fatigue states that there is a finite amount of decisions that humans have a capacity to make in a day. It’s like going to the refrigerator to pour a glass of water without replenishing the container and doing that over and over again. A long commute is a sum total of minor decisions taken repeatedly – get in the car, find the optimal route to the train station, be constantly mindful that you don’t bump into the neighbouring traffic and so on. Thus, it makes sense that a long commute would eat into your capacity to make good decisions.
How do we counteract decision fatigue? What’s the antidote?
Decision fatigue was popularised in the last couple of years and I find that most people are aware of it but they aren’t aware of the antidote. In the last 30 years, new research called Attention Restorative Theory (ART) has indicated that spending time in nature has a restorative effect on humans (surprise!).
The nub is that human attention is classified into two components – involuntary and voluntary attention. Voluntary attention is used in making decisions. When you are in nature, walking through the woods there is an aspect of the environment called fascination which generates awe in people which gives the voluntary attention a rest. Spend enough time in nature and the lesser your voluntary attention is used and the better you will get making decisions that require this voluntary attention.
Thus, the optimal behaviour before you need to make big decisions is to go out and take a walk in the nature, look at something that generates fascination in you and give your voluntary attention a break!