One of the important things that I remember them drilling into our heads in business school was about how to write a business memo. This might not seem like a big deal, but it is. Emails, decks, and recommendations are ubiquitous in business.
I remember three main points.
One, use clear and concise writing. If you can use fewer words, do that. Two, be decisive. In fact, they used to tell us that being decisively wrong was always better than being vaguely correct. And three, be as quantitative as possible.
If you can replace words with numbers, you should do that. For example, instead of saying that something recently increased significantly, it is far more effective to say that something increased by 27% over the last 18 days.
I was reminded of this earlier today when I came across this:
Supposedly, it is what Amazon used to tell its employees back in 2018. I don't know the source, but the tips sound right and make sense. Be concise. Use data. Eliminate weasel words. And make sure you're communicating a "what". In other words, be decisive.
Grocery shopping is one of those things that -- despite a lot of people really trying -- has remained a stubbornly in-person activity. However, the pandemic did give online grocery shopping a significant boost, and lot of that has stuck, even if it has been trending slightly downward from its peak. Here are a few slides from Dan Frommer's Consumer Trends: 2024 Food & Wellness Special report:
Part of the challenge may be that the majority of people say they actually like grocery shopping, and doing so in a physical store:
So it is very possible that, for the foreseeable future, there will always be a large segment of buyers who prefer to shop in-store. But then again, if you asked me these same questions, I would also tell you that I like grocery shopping and that I prefer buying in-store. However, that doesn't mean I wouldn't be open to alternatives. I just haven't explored and found a suitable online option.
At the same time, and according to the same Consumer Trends Survey, about 10% of Americans say they currently dislike grocery shopping. Maybe this is the same 10% who are right now shopping online. Either way, this is already a large segment of people who would rather not go into a grocery store.
Intuitively, as the online offerings get better, one would expect this number to grow. Here, for example, is an interesting overview of the service Hungryroot. One part "meal kit" delivery and one part online grocery shopping, the company uses machine learning and algorithms to determine what its customers might want to buy. Already, about 70% of what it sells is picked automatically.
On the back end, McKean explains, among other actions, Hungryroot is “clustering” its new customer with other users who have answered its onboarding survey similarly and have already been with the service for multiple years. “And so we can say, ‘okay, people who filled out that signup flow like you… they loved these top recipes with high probability, so we think you’re going to love these recipes with high probability’.”
What I like about this is that it requires fewer decisions; it has the potential to feel like you have a private chef (one that learns what you like and adjusts accordingly); and it promotes dietary variety. For the typical American, 75% of what they buy in a grocery store is the exact same as what they bought the last time. There's very little variety, because it's always easier not to have to think.
Given this stat, it is maybe surprising that this 75% hasn't become more automated for more people. Perhaps it's the 25% that keeps most of us going into stores. I'm not sure, but I think I'm ready to try a service like Hungryroot.
I had coffee this morning with an engineer who is going back to business school in order to segue into real estate development. This is a fairly typical journey. Lots of people come into development from a related discipline. In my case, it was architecture (even though I never practiced architecture). It was also the case when I went to Rotman that something like a third of the class had a background in some sort of science or engineering field.
However, one thing I did mention this morning was that he will likely find that he will need to unlearn certain things as he moves forward. Every discipline tends to indoctrinate us with a certain way of thinking about the world. Lawyers tend to be a certain way. Engineers tend to be a certain way. And architects tend to be a certain way.
In my case, I found that architecture school taught me to be, among other things, an intense perfectionist. The modus operandi in design studios is that your project is never ever complete. The more you work on it, the better it will become. And as a result, you should feel a deep onus to work on it as much as humanly possible. But in business, this isn't practical. In the vast majority of cases, speed over perfection will serve you better.
I believe wholeheartedly in multi-disciplinary backgrounds, and maybe this is one of the reasons why. It shows you what you should unlearn. What would you say your biases are?
One of the important things that I remember them drilling into our heads in business school was about how to write a business memo. This might not seem like a big deal, but it is. Emails, decks, and recommendations are ubiquitous in business.
I remember three main points.
One, use clear and concise writing. If you can use fewer words, do that. Two, be decisive. In fact, they used to tell us that being decisively wrong was always better than being vaguely correct. And three, be as quantitative as possible.
If you can replace words with numbers, you should do that. For example, instead of saying that something recently increased significantly, it is far more effective to say that something increased by 27% over the last 18 days.
I was reminded of this earlier today when I came across this:
Supposedly, it is what Amazon used to tell its employees back in 2018. I don't know the source, but the tips sound right and make sense. Be concise. Use data. Eliminate weasel words. And make sure you're communicating a "what". In other words, be decisive.
Grocery shopping is one of those things that -- despite a lot of people really trying -- has remained a stubbornly in-person activity. However, the pandemic did give online grocery shopping a significant boost, and lot of that has stuck, even if it has been trending slightly downward from its peak. Here are a few slides from Dan Frommer's Consumer Trends: 2024 Food & Wellness Special report:
Part of the challenge may be that the majority of people say they actually like grocery shopping, and doing so in a physical store:
So it is very possible that, for the foreseeable future, there will always be a large segment of buyers who prefer to shop in-store. But then again, if you asked me these same questions, I would also tell you that I like grocery shopping and that I prefer buying in-store. However, that doesn't mean I wouldn't be open to alternatives. I just haven't explored and found a suitable online option.
At the same time, and according to the same Consumer Trends Survey, about 10% of Americans say they currently dislike grocery shopping. Maybe this is the same 10% who are right now shopping online. Either way, this is already a large segment of people who would rather not go into a grocery store.
Intuitively, as the online offerings get better, one would expect this number to grow. Here, for example, is an interesting overview of the service Hungryroot. One part "meal kit" delivery and one part online grocery shopping, the company uses machine learning and algorithms to determine what its customers might want to buy. Already, about 70% of what it sells is picked automatically.
On the back end, McKean explains, among other actions, Hungryroot is “clustering” its new customer with other users who have answered its onboarding survey similarly and have already been with the service for multiple years. “And so we can say, ‘okay, people who filled out that signup flow like you… they loved these top recipes with high probability, so we think you’re going to love these recipes with high probability’.”
What I like about this is that it requires fewer decisions; it has the potential to feel like you have a private chef (one that learns what you like and adjusts accordingly); and it promotes dietary variety. For the typical American, 75% of what they buy in a grocery store is the exact same as what they bought the last time. There's very little variety, because it's always easier not to have to think.
Given this stat, it is maybe surprising that this 75% hasn't become more automated for more people. Perhaps it's the 25% that keeps most of us going into stores. I'm not sure, but I think I'm ready to try a service like Hungryroot.
I had coffee this morning with an engineer who is going back to business school in order to segue into real estate development. This is a fairly typical journey. Lots of people come into development from a related discipline. In my case, it was architecture (even though I never practiced architecture). It was also the case when I went to Rotman that something like a third of the class had a background in some sort of science or engineering field.
However, one thing I did mention this morning was that he will likely find that he will need to unlearn certain things as he moves forward. Every discipline tends to indoctrinate us with a certain way of thinking about the world. Lawyers tend to be a certain way. Engineers tend to be a certain way. And architects tend to be a certain way.
In my case, I found that architecture school taught me to be, among other things, an intense perfectionist. The modus operandi in design studios is that your project is never ever complete. The more you work on it, the better it will become. And as a result, you should feel a deep onus to work on it as much as humanly possible. But in business, this isn't practical. In the vast majority of cases, speed over perfection will serve you better.
I believe wholeheartedly in multi-disciplinary backgrounds, and maybe this is one of the reasons why. It shows you what you should unlearn. What would you say your biases are?
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