Archive
Tag "Motivation"

 

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.

 

Sources:

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

http://www.scientificamerican.com/article/strange-but-true-drinking-too-much-water-can-kill/

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)

Ek baar jo maine commitment kar di, toh phir main khudki bhi nahi sunta   (Once I commit, then I don’t even listen to myself)

Its a famous dialogue of movie star Salman Khan in the Bollywood movie -Dabang.

I’m sure we’ve all experienced doing things over and over again that one day we realize it’s difficult to do it any other way. Whether we’ve invested our time and money in a particular project or poured our energy into a doomed relationship, it’s difficult to let go, even when things aren’t clearly working.

You may say that commitment is essential to motivation. Sure it is. But sometimes it works in funny ways. Take for example, Max Bazerman’s negotiation class at Harvard Business School. In his class he waves a $20 in the air and offers it up for auction. Two rules: bids are to be made in increments of $1 and runner-up losses his/her amount bid. It means that the second best finishes last and has to honor his/her bid, while receiving nothing in return. Winner of course wins the $20.

The bidding starts fast and furious until it reaches $12 to $16 range. When students realize they’re approaching the $20 mark, everyone drops out, till the two highest bidders are left.

Without realizing it, the two students with the highest bids get locked in. Neither wants to be the loser who pays money for nothing. So they become committed to the strategy of playing not to lose. It’s like both saying to themselves ‘Ek baar jo maine commitment kar di, toh phir main khudki bhi nahi sunta’.

The auction continues with the bid going up $18, $19 and yes $20. The other students begin thinking about the poor classmate who bid $19. But when the bidding continues to $21, $22, $23 the students cannot control their laughter. It’s common sense for the bidder to accept his/her loss and stop the auction. But apparently it’s easier said than done. The momentum and the looming loss pull the two bidders. To withdraw is to accept a sure loss, which is highly unattractive. So the bidding continues $50, $100, $150. Max Bazerman says up to a record $204.

The two combined forces at work – loss aversion and commitment – make us behave irrationally. And these two forces affect a lot of decisions of ours – whether its love, career, business, shopping, travel, etc.

Apparently, Max Bazerman also performs a $100 version of the auction for executives. This auction goes up in $5 increments. But the higher stakes don’t prevent enthusiastic bidding.

Source: Judgement in Managerial Decision Making (John Wiley & Sons 2002, page 79-80) – Max Bazerman – who in turn got the idea from Martin Shubik’s The Dollar Auction Game: A paradox in Noncooperative Behavior & Escalation – Journal of Conflict Resolution 15 (1971): 109-111.

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.

 

How a teacher changed lives of school kids

Her name is Molly Howard, a teacher who taught at a school in Georgia, US, where 80% of the kids lived in poverty and only 15% of the kids went on to study in colleges. Many teachers had a defeatist attitude – some children can and some children can’t.

But Molly challenged that view. Once she joined she abolished the school’s two-track system that separated the college bound students from the vocational students. She beefed up assessments and tutorial programs. She matched students with teachers who would be their on-campus advisors. But the biggest impact came from how she graded the students – A, B, C and Not Yet. No D-F.

In her view the students had accepted a culture of failure. These students didn’t used to do their homework or turned in shoddy work. They behaved as though they were complete failures. Getting a D or F seemed to be an easy way out for not trying enough.

In her new system of ‘Not Yet’ if the students did substandard work the teachers were made to say ‘Not Yet’. The students said to themselves, “My teacher thinks I could do better.”

Molly Howard had transformed her students with a simple Behavioural Design nudge. Test scores went up. The graduation rate increased dramatically. Howard was given the U.S. Principal of the year award in 2008.

Let’s not give up on North Korea, not yet.

What it takes to be an innovator

Most of us tend to think that innovators are born geniuses. It’s in their blood. Either you have it or you don’t. But reality is anything but that. Innovation like anything else is a habit that can be designed. Just the way a company called Brasilata has done.

Brasilata is a US$ 170 million manufacturing firm from Brazil that makes various kinds of steel cans. Manufacturing may seem boring but Brasilata is one of the most innovating companies in Latin America. For example in 2012, employees submitted 1,71,916 ideas – an average of 170.4 ideas per employee! Many of the suggestions led to the development of new products. The decision regarding approval and implementation of these ideas is made most of the time by the front line.

For instance, Brasilata came up with a new approach for steel cans designed to carry flammable liquids to meet UN standards. These cans needed to withstand a drop from 4 feet. Most manufacturers did this by thickening the metal layers, which ended up using more raw material. But Brasilata’s employees created a new steel can inspired by car bumpers that collapse on impact. The new steel can be deformed on impact, reducing stress on critical seam. This also reduced the amount of steel used.

In another instance, when the Brazil government rationed energy in 2001 due to severe energy crisis, Brasilata’s employees reduced its energy consumption by 35% and even resold extra energy saved to other companies.

Innovation is so embedded in the employees that two employees came up with a suggestion of eliminating their own jobs! Beat that.

Is innovation in their blood? Are they born with it or has been it designed?

Let’s see what their founders put in place for this to happen. To begin with the employees are called ‘inventors’. It isn’t simply feel good language. When they join the company they are asked to sign an innovation contract. It challenges them to come up with ideas for better products, improve production processes and squeeze costs out of the system. Procedures have been made for them to submit their ideas. Brasilata distributes 15% of its net profits amongst its inventors.

I have no doubt that the journey would have been a difficult one. It probably took a while for employees to become good at inventing. And initially employees might have even felt like imposters with themselves being called inventors. The founders would have created an expectation of failure – not the failure of the mission, but of failure on route.

And yes I forgot to mention that the idea of the two employees of eliminating their job was accepted. Their explanation was that they had eliminated their job positions to increase company profitability and this would in turn be distributed to all; as mentioned previously 15% of Brasilata net profits are shared by the employees. But the two were placed in a new roles because Brasilata has a no dismissal policy. In the opinion of the chief executive officer “job security functions as a safety net which enables the trapeze artist to perform to his best ability without risking his life.”

Source: Brasilata

To overcome big problems, think small

Most of the times, when we think of big problems, for example, bad hygiene habits of a nation, we tend to believe that the solution also needs to be as big. But it may not require lots of resources to overcome the big problem. Time and again Behavioural Design has proven that the solution needn’t be big in terms of budgets, effort and resources. Here’s one more nudge/ intervention of Behavioural Design that illustrates the same.

In 1990, Jerry Sternin used to work for Save the Children and was sent to Vietnam to fight malnutrition amongst children. Sternin had read a lot about malnutrition and conventional wisdom indicated that malnutrition was a result of intertwined problems like sanitation, poverty, lack of access to clean water and lack of awareness about nutrition.

Sternin instead chose not to be overwhelmed with such theoretical knowledge. Rather, he traveled to rural villages to find out if there were any very poor kids who were big and healthy than the typical kid in Vietnam. He thought that if these kids were staying healthy against the odds, why couldn’t every kid be healthy?

After observing lots of such families for deviations between healthy kid families and unhealthy kid families, he discovered that mothers of healthy kids were feeding them the same amount of food as mothers of unhealthy kids, but were spreading it across four meals rather than two. Second difference was in the style of feeding – mothers who hand-fed the kids had healthy kids vs the norm of kids feeding themselves. Third most interesting finding was that healthy kids were fed tiny shrimp and crabs, considered appropriate food only for adults by most mothers. The mothers of healthy kids also tossed in sweet-potato greens, considered a low-class food.

Conventionally one would tend to believe that if somehow all the mothers would get to know about these 3 healthy ways of feeding their kids, malnutrition could be eliminated. But Sternin knew that mere awareness does not change behavior. So instead of building an awareness program, Sternin created a community program, in which fifty malnourished families in groups of ten, would meet at a nearby hut each day and prepare food with shrimps, crabs and sweet-potato greens.

Mothers got first hand experience of keeping their sons and daughters healthy. Soon neighboring mothers were convinced by the power of social proof. Within 6 months 65% of the kids were better nourished in that village. The experiment moved to other villages. The community cooking program reached 2.2 million Vietnamese people in 265 villages. A big dent in malnutrition done with a small team and a shoestring budget!

Source: David Dorsey, Fast company, Dec 2000. Jerry Sternin’s presentation at Boston College Center for CSR in April 2008

Why we need a label for 'Climate Change'

This article of ours first appeared in Huffington Post on 17th July, 2017.

Nineteen of the G20 countries have affirmed their commitment to the Paris climate agreement, which sets guidelines for each participating country to mitigate global warming. Sponsored by the United Nations, it aims to slow the rise in global temperatures. The US is the lone outlier on climate change while India remains committed on the issue of climate change “as per its own values and requirements.”

On the face of it, climate change seems like a problem that may be happening but is still some time away in the future. So perhaps it can be handled sometime in the future. After all there are so many urgent problems facing our country—poverty, malnutrition, black money, terrorism, lack of infrastructure, etc. Plus, there is this diffused sense of responsibility because it’s affecting almost every country in the world. So the question arises, why should India take the lead to tackle climate change? After all it’s the developed countries that are responsible for much of the industrialisation that’s causing global warming and climate change. But what really matters is which countries are facing and will continue to face the maximum harm from climate change. And India is right on top of that list according to research by the Notre Dame Global Adaptation Initiative. The group measures vulnerability by considering the potential impact of climate change on six areas: food, water, health, ecosystem service, human habitat and infrastructure.

Climate change is a wicked problem. As this New Scientist article points out:

“It provides us with no defining qualities that would give it a clear identity: no deadlines, no geographic location, no single cause or solution and, critically, no obvious enemy. Our brains scan it for the usual cues that we use to process and evaluate information about the world, but find none. And so we impose our own.

It is wide open for interpretation causing constant uncertainty. Climate scientists say people don’t get the science about the environment. Environmentalists say political will is being corrupted by vested commercial interests. Commercial interests deny climate change. Individual minds are left confused.

But not only do vested economic interests inhibit reforms, our individual brains are not geared to deal with the problem. Climate change is global, complex, somewhat abstract problem, and occurs in a time frame of decades, all of which make it difficult for people to respond appropriately. Costs are short term, benefits are long term and perceived as uncertain, though in fact benefits are massively greater than the costs of action now. Take survival, for instance. But people suffer from loss aversion—the tendency to fear losses more than we love gains. So it’s challenging for us to give up our aspirations to consume and enjoy the pleasures of consumption now, in order to reap the benefits of reversing climate change.

According to the National Oceanic and Atmospheric Association, US Department of Commerce, January 2017’s average global temperature was the third highest for January in the 1880-2017 record, behind 2016 (highest) and 2007 (second highest). The extent of polar sea ice on 4 December, 2016 was about 3.84 million square kilometers (1.48 million square miles) below the 1981-2010 average, according to U.S. National Snow and Ice Data Center satellite measurements. That’s roughly the size of India melted away because of rising global temperatures. The increase in temperature, heatwaves, storms, floods and disruption of weather patterns is being felt by everyone, but it’s still somehow not enough to get everyone to take the necessary desired action. Why?

To begin with, climate change is a soft term, moderate and fuzzy. It could do with re-labeling as “climate disaster”. Climate disaster creates a stronger sense of threat and generates a greater sense of urgency. It brings up vivid images to the mind of typical disasters—storms, floods, wildfires, droughts, etc. So people are more likely see it as harming them and their family, and more likely to see it happening now. Several behavioural science studies have shown evidence that when words are re-labeled it makes a huge difference in people’s behaviour. Imagine 3G, 4G and wifi being reworded as “radiation”.

However, education on “climate disaster” is not enough. It needs to be made more tangible for everyone to act upon it. We need to create behavioural design nudges in our everyday lives that enable everyone to effectively contribute in reducing climate disaster in a tangible, concrete way. For example, just like the Bureau of Energy Efficiency has created an energy saving star rating system for household appliances like air conditioners, refrigerators and washing machines, we need to have an encompassing “climate disaster” star rating system for each and every product and service we consume. Fewer the stars, more the damage caused to the planet. Higher the stars, the better it is for the planet. For example, amongst food items, chicken would get a higher star rating than beef because cows let out methane as they digest food, a potent greenhouse gas, 25 times as powerful as carbon dioxide. And beef requires 28 times more land to produce than chicken and 11 times more water. Vegetarian plant-based food would get the highest star rating in comparison. The “climate disaster” star rating system will, in turn, nudge manufacturers to ensure their products and services have a high star rating. That means relying on renewable sources of energy, efficient use of resources, efficient emissions and better waste management. Sure it can be complicated to work out such a rating for all products and services, but if done, we could have a shot at surviving ‘climate disaster’.

What to do when people don't see the need to change

A lot of times people don’t see the need to change. Even if they intellectually understand that change is required, rarely does it materialize. We mean haven’t you ever faced a situation where you have made a powerful case via a powerpoint presentation filled with charts and graphs and inspiring quotes, and everyone in the room understood exactly what you meant and even noded their heads with enthusiasm, but nothing really happened after that? No? Then you must be so damn good looking! For the rest of us, things needn’t be this hard. There can be a better way as described by the following two examples.

Jon Stegner worked for a large manufacturing company and figured there was an opportunity to cut purchasing costs that would result in savings of $1 billion over five years. But to reap these savings, a big process shift would be required and for that to happen the bosses would need to believe in the opportunity and for the most part, they didn’t.

Let’s face it, if you were in his place the natural and most likely thing you would have done is make a presentation with all the savings data, the cost-cutting protocols, a recommendation for supplier consolidation and the logic for central purchasing.

But instead, Stegner hired a summer intern and asked him to identify all the types of gloves used in all the company’s factories and find out what the company was paying for it. They found that the factories were purchasing 424 kinds of gloves, using different suppliers, and all were negotiating their own prices. The same pair of gloves that cost $5 at one factory cost $17 at another.

Stegner piled and tagged each of the 424 kinds of gloves and invited all division presidents to visit the Glove Shrine. The presidents were like, “We really buy all these different kinds of gloves?” “This is crazy” “We’re crazy”. “We’ve got to fix this”. The company changed its purchasing process and saved a lot of money. (Source: The Heart of Change by John Kotter and Dan Cohen)

Another example is of Robyn Waters who worked at Target as a Trend Manager at a time when Target was a ‘discounter’ and was lagging the trends and not starting them. That was Robyn Waters’s mandate. But the merchandizers in various departments were traditionally copycats.

For a time in retail, trendy clothing was neutral in color. Everything was gray, white, khaki, tan or black. Then, one season color exploded in the retailers in London and Paris. So Waters needed to get her merchants excited about color. But Target had an analytical, numbers driven culture and the merchants would review the past few year’s sales and see that the color hadn’t sold.

So she poured a bag full of bright colored M&Ms on the glass table creating cascades of turquoise and hot pink and lime green. Merchants went “Wow” and she’d say, “See, look at your reaction to color”. (Source: Interview of Robyn Waters by Chip Heath)

In both cases, the change agent was a single employee with not much resource. Both created the change by dramatizing the need for change in a tangible way.

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