Human Brain

A pretty face can sell high interest rate loans

That’s what happened in South Africa when a bank wanted to push personal loans to fifty thousand of its customers. In a field experiment conducted by Bertrand, Karlan, Mullainathan, Shafir and Zinman, the bank crafted several variations of the loan offer letter.

They tested lots of variations in features of a direct mailer sent to 53,000 potential customers with formal jobs in urban and semi-urban parts of South Africa. Some of the features varied were proposing uses of the loan, presenting more examples of loans – like loan amount, tenure, rate, payable amount, etc.; displaying interest rates in different ways, showing competitors rates and showing a picture of a pretty woman.

The letters included different interest rates (ranging from 3.25% to 7.75% per month); some featured comparison to a competitor’s rate; others a lucky draw – ten cell phones up for grabs each month; still others a photo of either a man’s or a woman’s pleasant, smiling face. The versions were randomly assigned and mailed off.

To start with the obvious one – customers were significantly more likely to apply for low-rate loans. But two other factors were influential in getting customer response, though they had nothing to do with the terms of the loan. One – the number of loan examples. Mailers with four examples of loans attracted far fewer applicants than mailers with just one example. Presenting more options drove away customers. Showing one loan example instead of four attracted as many additional applicants as dropping the interest rate by about a third!

Second, adding a picture of a pleasant, smiling face of a woman had the same effect on men as lowering the loan’s interest rate by 25%. Surely no customer would say that his decision to borrow boiled down to the picture in the corner of the mailer, but the data was there to prove it. Having a picture of a pretty woman logically doesn’t make for a better financial offer, but what happened is that the men were attracted to the woman and therefore signed up for the loan. And interestingly customers (in South Africa) didn’t respond any differently when the race of the woman was varied. The effect of a woman’s photo on women didn’t make much of a difference as it did on men.

No man would consciously sign up for a higher interest loan just because the offer letter had a picture of a woman on it, right? But male customers made errors in evaluating the attractiveness of the loan because they didn’t focus on the important data. Instinct took over. That’s why its best to A/B test Behavioural Design solutions to know which ones work. Without testing, you will never know what works, what doesn’t and which could be the best solution.

Source: Marianne Bertrand, Dean Karlan, Sendhil Mullainathan, Eldar Shafir and Jonathan Zinman – What’s advertising content worth? A field experiment in the consumer credit market – Quarterly Journal of Economics 125 (1), February 2010.


The Smart Water Bottle Experiment

Drinking water is essential to human health. The amount one should drink varies from person to person based on gender, age, height, weight, physical activity, sweat levels, metabolism level, body temperature, humidity levels, external temperature, altitude, quantity and quality of food intake, quantity and quality of other fluids’ intake and host of other details. When you don’t get enough water, every cell of your body is affected. You lose a lot of electrolytes, including sodium, potassium and chloride, which are essential to your body’s functions. Pretty much all of your cellular communications revolve around sodium and potassium, including muscle contractions and action potentials. Fatigue, lethargy, headaches, inability to focus, dizziness and lack of strength are all signs of dehydration. Nature has given us a powerful alert system – thirst. But in our busy chaotic lives we often ignore it and forget to drink water.



Behavioural Design vs awareness

There is enough information about why we should drink more water, yet most people feel they don’t drink enough. Education doesn’t change behaviour.

Behavioural change requires a different approach. Drinking water regularly is a good habit. Habits are essentially automatic in nature, where one does not consciously think about the action. In other words, habits are auto-pilot behaviours. For a behaviour to become a habit, it requires three things to come together – trigger, action and reward. When the loop gets completed, the habit sets into place. For example, over a period of time we have gotten used to waking up in the morning (trigger), brushing our teeth (action) and feeling fresh (reward). To create good habits, initially conscious effort is required. However, we humans are lazy, so the lesser the effort to get the habit started, the better. Eg. We forget to drink water during the day. So if there’s a trigger like a reminder from the water bottle, we’re likely to drink water. Over time the action of opening the water bottle because of the reminder can become auto-pilot i.e. become a habit. This approach led us to create a water bottle that glowed and beeped that gently nudged people to drink water 16% more.


The Experiment

We chose to do an experiment in an office of one of our corporate clients. The administration department of that company would keep filled-water-bottles on the desk of each employee every morning and refill it once every evening. So we bought the same type of water bottles for our experiment so as to not draw any suspicion amongst participants. And we created two versions of caps. In the first version of the cap, we fitted a chip which recorded the number of times the water bottle was opened. In the second version of the cap, we fitted a chip which recorded the number of times the water bottle was opened and in addition, the cap now glowed and beeped once after every two hours of the water bottle being opened. If the bottle wasn’t opened, then the cap would glow and beep after an hour. When the water bottle was opened, the cap would sense it and stop glowing. In both versions the chip was hidden inside the caps.

Creating prototypes of both versions of water bottle caps took longer and was costlier than we expected (planning fallacy). We could only produce a total of 70 water bottle caps over more than a year. Thirty-five pieces of each version – first version with recording chip without glow and beep and second version with recording chip with glow and beep. Because of being able to produce 70 water bottle caps we chose to randomly select thirty-five participants from the office employees who wished to participate in our experiment.

In week 1 we gave them our similar looking water bottles with the first version of the cap with recording chip hidden in it. In week 2 we replaced the caps with the second version of the cap with the recording chip with the glow and beep. We accounted for data from Monday morning to Friday night in both weeks. We then compared the data of how many times the water bottle was opened with the numbers of hours the employees had spent in office on each day of Week 1 (no glow and beep) and Week 2 (glow and beep). Had we been able to conduct the experiment amongst a larger set of sample, we would have chosen the typical control group and treatment group, but due to the above mentioned capacity, time and money constraints we did a before-and-after format for this experiment.


The Results

In week 2 employees opened the water bottles 16% more than in week 1. It means the employees were not sufficiently hydrated with regular water bottles even though they were kept on their desk right in front of their eyes. The simple Behavioural Design of glow and beep water bottle caps got employees to drink 16% more frequently than without the Behavioural Design nudge.


Frequently asked questions

Q. How much water does one need?

A. Scientific studies are inconclusive on the amount of water required by an adult. Some say its 3 litres. Some say 2.5 litres. Some (Mayo clinic) say for men its 3 litres and for women its 2.2 litres. But fact is that calculating how much water you need depends upon your gender, age, height, weight, physical activity, sweat levels, metabolism level, body temperature, humidity levels, temperature, altitude, quantity and quality of food intake, quantity and quality of other fluids intake and host of other reasons. It’s extremely difficult to calculate real time hydration levels accurately.

Q. Why didn’t we create a bottle that could calculate how much water each individual person needed?

A. To do that we’d need to know people’s gender, age, height, weight, physical activity, sweat levels, metabolism level, body temperature, humidity levels, temperature, altitude, quantity and quality of food intake, quantity and quality of other fluids intake and host of other details. It’s extremely difficult to calculate real time hydration levels accurately. Sensors and software that can capture all of the above seamlessly are very expensive as of date. Measuring only some of the inputs would lead to an inaccurate result that would be misleading. So we used a simple rule of thumb of drinking water every two hours to stay hydrated.

Q. What’s the best way to judge whether you are hydrated or dehydrated?

A. The most scientific and simplest way to judge whether you are hydrated or dehydrated is to look at the colour of your urine. If your urine is crystal clear it means you’re probably drinking too much water. If its light or mild yellow it means your drinking an adequate amount of water. If its proper yellow or darker it means you need to drink more water. If its brown you need to visit a doctor.



Mild Dehydration Affects Mood in Healthy Young Women – Lawrence E. Armstrong, Matthew S. Ganio, Douglas J. Casa, Elaine C. Lee, Brendon P. McDermott, Jennifer F. Klau, Liliana Jimenez, Laurent Le Bellego, Emmanuel Chevillotte and Harris R. Lieberman – The Journal of Nutrition – 21 December, 2011.

Mild dehydration impairs cognitive performance and mood of men – Matthew S. Ganioa, Lawrence E. Armstronga, Douglas J. Casaa, Brendon P. McDermotta, Elaine C. Lee, Linda M. Yamamotoa, Stefania Marzano, Rebecca M. Lopez, Liliana Jimenez, Laurent Le Bellego, Emmanuel Chevillotte and Harris R. Lieberman – British Journal of Nutrition – Volume 106 / Issue 10 / November 2011, pp 1535-1543

Lawrence E. Armstrong – an international expert on hydration who has conducted research in the field for more than 20 years (professor of physiology in UConn’s Department of Kinesiology in the Neag School of Education)

How Behavioural Design can reduce human errors

‘We’re only human’ is a term associated with humans of course, but more so with accidents. But if that were our attitude we wouldn’t be able to learn much on how to prevent them in the future. And thankfully that’s not what happened after the train accident on 6th March, 1989 in Glasgow, Scotland.

That afternoon the train driver, pulled out of Bellgrove station and within half a mile, ploughed head-on into a train travelling in the opposite direction. The driver of the other train died along with another passenger. The driver who caused the accident had to be cut free from the wreckage and lost a leg in the accident.

So how and why did the accident happen?

It was the guard’s responsibility to check that all passengers were either on or off the train and that the signal on the station indicated that it was safe for the train to proceed. The guard admitted that he had not checked the signal, partly because it wasn’t easy from his position at the back of the train and he knew the driver would be able to see it clearly from the front. He rang the usual two bells to give a ready-to-start signal. But the signalman confirmed that the signal was red during the whole time. On the other hand, for the driver, the red signal would have been visible for another 13 or 14 seconds, even after pulling away, but he still didn’t notice it. In the final investigation report, the driver got the majority of the blame for the accident, with the guard cited as a contributory factor, because ultimately it is the driver’s responsibility to check that it is safe to proceed.

The accident happened because the driver had built up a simple habit. When he heard the two bells, he acknowledged it and set off without checking the signal himself.

A Behavioural Design solution was used later to prevent such accidents from happening. A reminder switch was put in the driver’s cabin that cut power to the train, when it was activated. Drivers were made to turn it on when they stopped at a station as an extra safety check. Now if they heard the two bells and tried to apply power immediately, the train wouldn’t move. They had to turn off the reminder switch, and that prompted them to check the signal first. But a system, which halts the train automatically, if the driver jumped the red signal, would be an even better Behavioural Design solution.

Source: Making Habits Breaking Habits by Jeremy Dean

We spoke on ‘Overcoming behavioural biases in investing’ at CafeMutual’s conference for financial advisors in Mumbai on 23rd Feb, 2018. We first introduced Behavioural Design and then followed it up with few examples of behavioural biases in investing, along with possible Behavioural Design solutions to overcome them. The feedback we got from the audience and co-speaker CEOs ranged from ‘thumbs up’ to ‘fantastic insights’ to ‘rocking presentation’. Honestly it was business as usual, but the feedback was great probably because behavioural science is relatively new for people and Behavioural Design nudges are simple, low cost, practical and effective at changing investor behaviour. While we’ve come up with few Behavioural Design nudges to manage our own investing behaviour, we’ve not even scratched the surface in coming up with Behavioural Design solutions for changing investor behaviour for clients. The journey has just begun. Looks like we’ll be creating lots of Behavioural Design nudges for changing investor behaviour – at communication level and product level – for both first-time and evolved investors. Fun.

This article of ours first appeared in Mint on 12th Feb, 2018.

Imagine you have units of ABC mutual fund. You consider switching to XYZ mutual fund, but don’t. One year passes and you find that you would have made Rs1 lakh more if you had switched to XYZ mutual fund. How would you feel? Now imagine another scenario where you have units of ABC mutual fund, and during the year you switched to XYZ mutual fund. One year passes and you find that you would have made Rs1 lakh more had you kept ABC mutual fund. How would you feel? Which condition would make you feel worse?

Studies by Nobel-winning behavioural scientist Daniel Kahneman and his colleague Amos Tversky have found that 92% of people find the second condition worse. The mistake of an action seems worse than a mistake from inaction. It generates more regret because the first condition is like an opportunity lost whereas the second condition is an actual loss. The second condition translates to seeing oneself as a loser, but not the first. The monetary loss is followed by a psychological loss from admitting you made a mistake. That’s why losses cause a lot of pain.

The region of the brain associated with evaluating negative emotions like pain and disgust is called ‘insula’. When people smell vomit or see a cockroach, the insula bursts into action. The insula also lights up when we lose money. In a study by M.P. Paulus et al, the insula was roughly three times as active after people lost money as it was after they won money. The more intensely the insula fired, the more likely the person was to pick a lower-risk option the next time.

Losing money on an investment is like smelling rotten food, it’s disgusting. We try to move away from it, wipe it off our memory and want to wash our hands off it. That explains why investors, including me, find it difficult to sell an investment when its price is down, since the notional loss will now get converted into actual loss. That makes most people like to believe that the price of the loser investment will go up one day and that’s when we’ll sell it. The thinking goes, ‘If we sell it now and it bounces back, we would have made two mistakes —one buying high and two selling low. If we hold on and it bounces back, we will feel much better.’ However, if we hold on and it doesn’t bounce back, it will be a bigger loss than had we sold it. Hanging on makes sense only if we believe that the investment has value and that value is more than the existing low price of the investment. However, that’s a tough decision which leaves most investors paralytic.

An analysis of 2 million transactions of Finnish investors by behavioural scientists Hersh Shefrin and Meir Statman, found that they are 32% less likely to sell a stock after a sharp fall in price. Professional money managers in Israel cling to their losing stocks for an average of 55 days—more than twice as long as they hold winners. A study by David Harless and Steven Peterson that looked at 97,000 trades, found that investors cashed in on 51% more of their gains than their losses, even they could have raised their average annual returns though by 3.4% points if they had held on to winners and dumped the losers. The study by Martin Weber and Colin Camerer found that among 450,000 trades in 8,000 accounts at a brokerage firm, 21.5% of clients never sold a single stock that had dropped in price. Researchers Zur Shapira and Itzhak Venezia found that new mutual fund managers sold 100% of the stocks ranked at the bottom, implying that their predecessors would have been paralyzed by their own mistakes that only a new person could clean the portfolio. Karl Case and Robert Shiller find that people trying to sell their house hold out longer when they are facing a loss, and will often take the house off the market and not sell, rather than lose money on it.

Dealing with losses is painful, but thinking about the loss differently could help. One behavioural design solution could be to find another investment that you would like to put money into. Think of the proceeds as funding the new investment by selling the loser investment. It will help you generate cash for buying the new investment and you can write off the loss to offset your capital gains and reduce your taxable income. Moreover, the learning of what went wrong should be undertaken by introspecting why the loser investment was originally bought and why its value had changed over time. If the investment still has value and potential, then holding on would make sense. If not, the faster you can sell, the lesser will be your loss.

Just two words can alter first impressions

Our propensity to label people, ideas or things based on our initial opinions of them is so high, that even two simple words have the power to influence it.

Here’s the experiment. A class of MIT students were told that their economics professor was out of town and therefore a substitute instructor would be filling in. The students received a brief bio describing him. Half the students received this version:

Mr._____ is from the Department of Economics and Social Science here at MIT. He has had three semesters of teaching experience in psychology at another college. This is his first semester teaching Economics 70. He is 26 years old, a veteran, and married. People who know him consider him to be a very warm person, industrious, critical, practical, and determined.

The second half received the same bio. Only two words had been changed:

Mr._____ is from the Department of Economics and Social Science here at MIT. He has had three semesters of teaching experience in psychology at another college. This is his first semester teaching Economics 70. He is 26 years old, a veteran, and married. People who know him consider him to be a rather cold person, industrious, critical, practical, and determined.

At the end of the class, each student filled out an identical questionnaire about the substitute instructor. Most students from the first group that received the bio describing him as ‘very warm’, loved him. They described him as good natured, considerate, informal, sociable, popular, humorous and humane. Though the students in the second group sat in the same class, same session, most of these students saw him as self-centered, formal, unsociable, unpopular, irritable, humorless and ruthless!

Just two words have the power to alter our perception of another person and possibly sour the relationship before it even begins. Once we get a label in mind, we don’t notice things that don’t fit within the category. Labeling is important for us to go though the regular day bombarded with information, so that we can organize and simplify. But it also prevents us from seeing things as they are.

No wonder in job interviews, we all put our best show, and not surprisingly we just can’t see the realities of candidates. So while accessing anything look for objective data. From another point of view first impressions matter, so position yourself, your company, your brand to gain that advantage.

Source: Harold Kelley (University of Michigan) – The warm-cold variable in first impression of persons, Journal of Personality 18, no 4 (1950): 431-439.

Use a calculator, not your heart, to assess risk

This article of ours first appeared in Mint on 6th Dec, 2017.

It has taken millions of years for humans to evolve into the species we are today. But it’s been only a few decades of living with rapid technological and economic development. We have lived among and survived snakes, spiders and other species that could have led to our extinction. That’s probably why our brain has developed parts like the amygdala, which acts as an alarm system, generating fast emotions like fear when we notice anything that’s out of place or scary. The amygdala that induces the fear reflex has helped our ancestors survive and it continues to remain a vital tool in today’s daily life. When we see a face that’s scared, we take cues and act instantly; or, if we smell smoke, the amygdala floods the body with fear signals even before we are consciously aware of being afraid.

However, today, life has been changed dramatically due to money and technology. A potential economic threat makes us panic. When our investments take a sudden drop, we react and sell our investments; making ourselves poorer, not richer. But we feel more comfortable to invest when markets are rising. We do the opposite of what common sense shows us—we need to buy low and sell high to make a profit, but we buy high and sell low. In other circumstances, people avoid investing in the stock markets because they are afraid that the stock market might crash, but have no idea how rising prices eat up their savings and cause a loss of money. We are not good at assessing risk—monetary and non-monetary.

The more vivid and imaginable a risk is, the scarier it feels. Behavioural scientist, Paul Slovic, says people will pay twice as much for an insurance policy that covers hospitalization for ‘any disease’ than one that covers hospitalization for ‘any reason’. Any reason covers any disease, but ‘any reason’ seems vague, while ‘any disease’ is vivid. The vividness fills us with fear. It’s not logical. Decades of behavioural science is proving than we don’t always make rational decisions. On the contrary, we often make decisions based on emotion and therefore the decisions sometimes tend to be not rational. For example, people are scared of flying because a plane crash is vivid. Tons of people, including myself, buy air travel insurance, but if we take probability of a plane crash into account, we will find the air travel insurance not worthwhile. At the same time, driving a car without wearing a seat belt feels perfectly safe for a lot of people in India. Let’s see what the numbers have to say. Last year, no one died in India due to a plane crash compared to more than 1,50,000 people who died in road accidents in 2016. So what’s safer—flying by plane or driving on roads? Here’s another example: terrorism. Terrorism creates images of violence, gun shots, bombs, bloodshed. We feel that the risk of terrorism is uncontrollable. But did you know that only 178 civilians died due to terrorism in India this year. On the other hand, smoking kills 1 million people every year in India. Yet we feel more scared of terrorists than cigarettes. But smokers feel they are in charge and understand the consequences, that’s why the risks seem lower than they truly are.

Says Nobel-winning behavioural scientist, Daniel Kahneman, “We tend to judge the probability of an event by the ease with which we can call it to our mind. The more recently an event has occurred, or the more vivid our memory of something like it in the past, the more available an event will be in our minds and the more probable it will seem to happen again.” Clearly that’s not the right way to assess risk because the event does not become more probable just because it occurred recently. In fact, the best time to ‘value invest’ is when the markets are depressed. That’s likely to be a time when there is more bad news than good news, when corporate performances don’t look that good and when analysts don’t have nice things to say. In other words: when markets are low. However, people judge such times to be risky and stay away from stock markets, and when the markets are rising, people hear positive news all around and most investors find comfort in positive statements made by analysts. Due to this positivity and euphoria, people invest at high levels only to find that the trend doesn’t hold true for long.

Understanding risk is critical to managing money. So when you think about risk, it’s better to use a calculator instead of your heart.

Employee performance and happiness talk (Gartner)

Our latest talk was on applying behavioural science for improving employee performance and happiness at the Gartner Symposium ITXPO, Goa for India’s Top 300 CIOs.

Behavioural science experiments on employee performance and happiness show that businesses often operate in ways that are not aligned to principles of human psychology, leading to engagement and motivation levels that are disappointing.

For example, when performance appraisals are done annually, employees are also given feedback on improvement and learning. But behavioural science shows that the focus of employees at that stage is on earning, while learning shuts down. Companies can benefit to a great extent if the ‘scope of improvement’ conversation is done as a separate exercise at a separate time than the performance review and appraisal.

The talk covered behavioural science findings on rewards, recognition, incentives – monetary, non-monetary, experiential; performance appraisal, feedback, teams, collaboration, workplace design, change management, productivity, culture and core values.

Like we always do, the talk focussed on simple but innovative and practical Behavioural Design nudges that could make a big difference in employee performance and happiness.


All we need is a nudge

All of us need encouragement from time to time because species of our kind is known to get easily demoralised. That’s why motivating ourselves or others is so bloody challenging. Especially, when we are on the path of changing a habit or achieving some kind of goal. Sense of progress becomes critical to get us moving. If we don’t get feedback, we could easily get derailed. And that brings us on to one of the most interesting studies we’ve read.

In 2007 researchers Alia Crum and Ellen Langer published their study of hotel maids and their exercise habits. They figured that an average hotel maid cleaned fifteen rooms a day, and each room took 20-30 minutes to complete. Now visually imagine them doing it. Walking, bending, pushing, lifting, scrubbing, dusting for 7-7.5 hours. That’s heavy duty exercising. But before the study began 67% of the maids said they didn’t exercise much! That’s like Arnab Goswami of Republic. complaining that he doesn’t get a chance to speak on air.

As part of the study one group of maids received a document describing the benefits of exercising and were told that their daily work was sufficient to get those benefits – that exercising didn’t only mean hitting the gym – it simply required moving of muscles to burn calories. The maids were also given a list of type of their work activity and calories burned. The maids in the second group were only given the document describing the benefits of exercising.

One month later maids who had been told that they were good exercisers lost an average of 1.8 pounds (about 0.8 kg). The other maids hadn’t lost any weight. Crum and Langer investigated possible explanations. Group one maids weren’t exercising outside of work nor working more hours nor had they changed their diet in any way. So Crum and Langer assigned the weight loss to the placebo effect – awareness of the ‘exercise value’ of their daily work triggered the weight loss – the maids got a mental boost from the ‘daily work is exercise enough’ knowledge.

Chip and Dan Heath, authors of Made to Stick, Switch and Decisive, argue that in placebo effect situations apply to conditions that are self-reported. For instance, instead of a pain medicine, you take an anti-depressant and the doctor asks you “How do you feel?” and report saying you feel better. But in the case of the maids losing weight, the scale reported real weight loss – not just a feeling of the maid. The Heath brothers say “The maids having gotten a jolt of enthusiasm from the good news, may have started scrubbing the showers a little more energetically than previously and maybe started walking a bit more and took the stairs. They exerted extra effort because now they believed they were perhaps closer to their goal of exercising and losing weight than before.”

All we need is a nudge. Nudge is all we need.

Source: Alia Crum and Ellen Langer – Mind-set matters: Exercise and the Placebo Effect – Psychological Science – 18 – 165-171 (2007)

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