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How Duolingo Aims to Diversify Beyond Language Learning

34m 53s

How Duolingo Aims to Diversify Beyond Language Learning

The discussion centers on Duolingo's innovative approach to education, which combines advanced AI and gamification to make language learning engaging and habit-forming. Its analytical AI system, Bird Brain, personalizes lessons by tracking user performance to maintain motivation, while features like streaks and leaderboards tap into behavioral psychology to encourage daily use. The company has achieved remarkable growth, with 100 million monthly active users, largely through organic, viral marketing on platforms like TikTok, where its quirky brand persona resonates widely. This allows for a very low customer acquisition cost. Duolingo now faces strategic decisions about expanding into subjects like math and music, which fit its interactive, skill-based model. The case also highlights its use of generative AI, such as the chatbot Lily, to practice conversation and potentially increase fluency. While some critique its gamified approach as less serious, Duolingo's mission is to make high-quality education universally accessible and enjoyable, suggesting its methods could redefine modern learning.

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In my formative years, I had the good fortune to attend schools that required me to take a foreign language, which was not the norm in all schools. Over eight years of middle school and high school, I completed four years of French, four years of Spanish, and one year of Latin for good measure. And after dozens, perhaps even hundreds of hours, conjugating verbs and memorizing vocabulary, I can say with confidence that I hardly remember a thing. "Monger," you say. Well, I'm in good company because less than 20% of people who learn a language in high school retain much of anything beyond five years. It's hard to learn a new language and even harder to maintain proficiency if you're not speaking it regularly. But what if it were fun? What if you actually looked forward to language lessons? Today on Cole Call, we welcome Professor Jeffrey Rayport and Nicole Keller to discuss the case "Duo Lingo" on a streak. I'm your host Brian Kenny and you're listening to Cole Call on the HPR Podcast Network. Jeffrey Rayport's research focuses on growth stage technology ventures and how to scale them. He is an expert in e-commerce and is credited with pointing the term "viral marketing." I didn't know that, Jeffrey, until I re-read your bio today. That's pretty impressive. Back in my Miss spent youth, what can I say? It's great to have you back on Cole Call. Nicole Keller is assistant director at Harvard Business School's California Research Center and a co-author of the case. Nicole is also a graduate of Harvard Business School. Great to have you back on the show as well. Thank you for having me back. I think the last time I was on Cole Call. I was on the very back end of COVID and my voice was very raspy. It's nice to be on again today with real voice. I don't remember that. You're very thoughtful in sites that you shared with us that day. That was about the Angel City Football Club, which was a really fun case to talk about. If people want to go look that one up, it's still available. Today is about something completely different, but I think equally relatable. "Duo Lingo" is as hot as it gets in apps. They've been around for a while. They have built a tremendous reputation for themselves in the space of teaching people, which is how to learn languages, but how to enjoy doing it. I downloaded the app. I'm trying to figure out what language I want to learn. I'm not going to go for French or Spanish. Clearly, those didn't work out for me. And you weren't thinking about English. I mean, there's always the opportunity to brush up those skills. I hope you appreciated my monies, because that was a pretty good French accent, even though it's been a while. It sounded excellent. I was going to say suck. I blew. You should have. That would have been great. Okay. Let's get started. Jeffrey, I'm going to ask you to start by telling us what the central issue is in the case and what your cold call is to start the discussion in class. We start the class by asking students about growth. So this is a course called scaling technology ventures. As you said, it's about growth stage in the tech sector. And of course, this is a classic tech business. They do business by fielding a mobile app. Clearly, businesses have a lot of ways to grow. They can span geographic footprint, but maybe the most commonplace one and common to our listeners is product or service line diversification. And in this case, dualingo, as you just said, is widely known for language learning. Dualingo can teach you more than 40 languages. And Brian, I must say that despite your educational history, even you might be able to learn a language if you put the zap to work. I think you'd find them to the test. Absolutely. So we are asking about the specific moves that they're contemplating into subject matter adjacencies, one being math and the other being music and asking the question, is this the way to grow? And implicit in that is the question of, is there a headroom to grow simply as a language learning app? Is it necessary to move into adjacent academic subjects to do that? And how credible would moves like that be to their 100 million monthly active users? And they call them, let me turn to you for a second. Dualingo has grown from a free language platform into a $15 billion company. They have a lot of different revenue streams. What are the sort of key strategic decisions that allow them to make these transformations? Well, I think first and foremost, dualingo was an early adopter of analytical AI. Their AI system is called Bird Brain. Everything at dualingo has a fun name or character to it. So this is Bird Brain. I forgot to bring duo. I was going to bring you a plush animal so we could have him as inspiration on the table. That would have been great for a photo op too. Yes. I can still remember back in my office. That's all right. Bird Brain system knows exactly the words you got right yesterday and the grammar that you got right and the grammar that you got wrong. So it would know that you got La Lache right yesterday. It's not going to review that again with you tomorrow when you go back on the app. So it and it's going to know exactly how hard and how easy to make the exercises that you're given so that it's very motivating. So if it's too hard, you're going to be demotivated. If it's too easy, you're going to think it's boring. Your analytical AI allows them to just find that perfect sweet spot for your learning. So that's one thing. And then I think another thing they've done super well is they really leaned into gamification. And they've really taken a page out of the gaming apps playbook. They use experience points and they use leaderboards and they use hearts. You lose hearts if you get something wrong. So watch out for that, Brian. You can earn them back again through various things. And all of that makes the learning whole process very fun. That's another thing that they've done very differently. And streaks are very important to do a link up. So the streak means how many consecutive days you've been on the app. And people are very into their dual-lingo streak so much so that they posted on social media and tell their friends about it. So streaks are a very big deal. There are 20% of their users have a streak of over 365 days. So that's 7 million users who haven't missed a day on the app in 312. Which is a real nice me of Whartle and Peloton and tapping into the competitiveness that most of us have if you tap deep enough. Do they have psychologists on staff? How do they understand the psychology of these things? And how does it factor in to the way that they retain people on the app? The fascinating thing about dual-lingo for Decolon me is that this is of course the world's biggest edtech app. We don't tend to think of it as edtech because it's so incredibly entertaining. And there's a lot of evidence that if you ask who does dual-lingo compete with, it's not necessarily Coursera, Utemy and Khan Academy. It's TikTok and Instagram. Having said that, despite the fact that it's education and entertainment, this is a company run by two computer scientists, Louis Vanan and his students, Severin Hacker, no longer a student. They are now CEO and CTO are the co-founders of the company. So what's remarkable is that this issue of how to build engagement is something they have turned into a massive mathematical or quantitative exercise. They use something called a Markov model, which is a very interesting way of representing multiple variables that have dependencies on one another. But the model assumes that the present state is what it is. No need to worry about where it came from and how it got there. The question is how do you move forward? And on that basis, they're looking for these interesting, high-leveraged relationships between variables. And it's that focus as technologists and as data analytics guys that they have managed to create this incredible level of engagement. In fact, Severin Hacker, whom we worked with to put together this case, referred to the app as a motivation engine. They have about 15 billion lessons a week that they are analyzing. So it's a massive amount of visibility in two, user behavior. And on that basis, they can then fine tune it to create this habit formation, which is quite remarkable. Just to add to that, they even know what time you were on the app yesterday. So in terms of helping you build the streak or maybe it's helping them build the streak, depending on which way you think about it, they will send you a notification right around the same time that you were on the app yesterday. To remind you, it's time. If you want to keep your streak up, let's go. So this AI system is all designed to keep you using the app. And Brian, you mentioned the question of what role does psychology play in and what is fascinating is that of course they have psychologists and data scientists on staff. But again, it is so interesting because it's driven from these metrics that feed the AI. So just an example, depending on who you are in your personality profile and your behavior, whether you're on a streak or not on a streak, when you continue a lesson, you might get a button to click on that says, continue as and go to the next lesson. But you also might get a button that says commit to my mission. These are obviously two very different ways of influencing behavior. Duo, of course, is the famous green owl that is the mascot of duo, lingo. And in some cases, the motivating statement from duo is that if you don't complete your lesson, duo will be mad. Another one, if you don't complete your lesson, duo will be sad. And another one, duo is reminding you to come back tomorrow and keep doing your lessons. In that sense, it is a very sophisticated system that in a sense has automated the psychological understanding of the individual user across a hundred million users to create motivation and a regular steady drumbeat of engagement. Yeah. So it sounds like they are sort of delivering on the promise that we've heard so much about AI, where AI is going to find ways to serve things to you before you even know you need them. And what you're describing, I think the case talks about micro optimizations. Is that the same? That is absolutely right. Absolutely right. And on every level, I think it's interesting that tech companies, when they talk about this kind of micro optimization, we hear always the phrase A, B testing. And we always think about it as the e-commerce platform, which has a buy button and the buy button could be green or it could be red, which color gets the higher conversion to purchase. In this case, it's so much more nuanced because it's not just about the attributes of a digital interface. It's about the nature of the messaging, the emotional tone. passive versus active, all these things that are attuned to a unique students or users' personality. Super impressive. Nicole, I want to talk about their social media, the way that they approach their marketing. Describe a little bit kind of how they go at that and how it allows them to sort of compete on the same level as TikTok. Do NLGOT is known for its fun and quirky personality. So they've got the brightly colored graphics and they've got their cast of endearing characters. And then they're known for peppering in these almost silly, you know, ridiculous sentences into the exercises that you do. And they're so fun and silly that people will go ahead and repost those then to their social media account. And that gets them visibility. And you know how effective that is when you realize that 80% of dual-lingos customer acquisition is organic. So you can only imagine the positive economics that come out of that. And then the other thing they've done really well is they've really leaned into TikTok. And that's a fun story. They had a social media coordinator who was just 23 years old when she started. Azaria Parvez. And you know at 23, she's probably using a lot of TikTok and she thought to herself, dual-lingos should probably be on TikTok. Can I give it a try? And one thing we realized in the case is that dual-lingo really has a nice culture, a really positive culture about allowing innovation to bubble up from within. And so they said, sure, give it a roll. So she actually became the persona of dual-lingos the owl. And she built dual-lingos TikTok's presence to almost 11 million followers. So pretty amazing that she was able to do that. And she continues, and dual-lingo continues to do crazy social media antics. And actually the day that Jeffrey taught the case in February was the day that dual-lingo died. And it was posted on X that dual-lingo has died. This was very upsetting to us. It was go coarse devastating for the students. Yeah. And the reason that was posted at that time was that people hadn't continued their streak. And so dual was disappointed and dual-lingo died. So even on your phone when you opened it up around that time, dual-lingo had X's over its eyes because it was dead. And then they took it a step further a few days later. And they said that duo had been hit by a Tesla cyber truck. And anyone with information was meant to come forward. This became even more upsetting because it wasn't just duo the owl that died, but it turned out Louis von On recorded a video that was released, pushed through social media channels in which he delivered the sad news that not only the cyber truck killed duo, all the other characters were dead too. And they're like a dozen of them just to make sure that we haven't upset the listeners of phone call, all of them have come back to life starting with duo. So if it's over, say thank goodness. Why is this company such a valuable public company? When you can acquire customers and 80% of your acquisition is word-of-mouth, is result of viral distribution. That drives down your customer acquisition cost quite considerably. Our estimate from the cases, it's about two and a half bucks. The average e-commerce site might pay 35 to 60 dollars to acquire a customer and you've dual-lingo acquiring for two and a half dollars for customers that ultimately have a significant amount of economic value to them. And it's partly because they not only join based on a referral with a higher level of conviction, but they stick around because that's what streaks are all about. And all these behavioral economics and effects that we're talking about built into the app. Now they're not the only firm that's doing this. There's other language education platforms out there. What are some of the differences? And I guess what I'm wondering is, would the criticism maybe be that dual-lingo's not taking this seriously enough? Like this is too gamified and you're really not going to learn much, but it's a fun to engage with from time to time. It's interesting that you say that. We encountered some limited skepticism in the classroom with the two sections that we taught the case where a few students were saying, "Listen, I've been on a streak. The app is really fun. I learned a little bit, but it didn't teach me how to speak the language." And in that sense, my retort was, for all of us and your story at the beginning of this podcast, a perfect illustration of all of us studying foreign languages in middle school and high school and how many of us actually came out of those classrooms speaking, that's a very high bar. And we should talk about that because one of the ways in which they're using the new flavor of AI, meaning not analytical AI, but generative AI, is actually to cross that line into something that would actually create fluency and language proficiency in a way that I would argue would be very tough to do in a classroom or with conventional software-based learning. So they have Lily their video call. So when you finish a lesson and you've gotten, and I'm fairly early on in Spanish right now, but it offers up that Lily will do a video call with me and so we can chat and we can speak in Spanish. And I think the idea there is to obviously really practice the language in a very low-risk way. I am more willing to practice with Lily on my phone than I am with a Spanish-speaking person because I don't want to mess up, but I'm okay messing up in front of Lily. It's a chatbot. It actually do think this will help them cross the chasm and help people get fluent. I think this new way of using AI will help them take their language learning to the next step. It is worth saying that yes, there are absolute critics of dual language. Your point who'd say, listen, if you're serious about language, you go off and study Rosetta. You do not use a lightweight mobile app that is so incredibly entertaining and even addictive. I think we would argue as fans of the company that if you go all the way back to the mission that Luis and Severin articulated at the beginning of this story back in 2011 when the company was launched, they set out to execute on the following mission, quote, "to develop the best education in the world and make it universally available." We are like looking at this and very impressed by the fact that maybe the future of education has a lot to do with gamification. And as opposed to gamification, essentially inditing it for being too frivolous, maybe in an attention-scarious world where we're all dealing with too many information streams in a given time, including in classrooms if students have digital devices. Maybe this is a very interesting human factors experiment, time 100 million humans, on how actually to get education done for certain kinds of subjects in a completely modern way. Well, that's a good transition to where they're trying to go. The best education, you didn't say the best language education, you said education. And the case talks about them thinking about pushing into some other areas, music being one, math being the other. If they could find a way to make math fun, I think that would be an enormous breakthrough. But talk a little bit about how do you extend the success that they've been able to have with the personality of dual-lingo into other educational subjects? One thing that's interesting by way of a screen is in talking with Severin Hacker, one of our questions was, could you teach history? Could you teach literature? Could you teach somebody to become a neurosurgeon on an app? And he had what seemed like a very credible and persuasive response, which is, look, we set out to create something that went well beyond language instruction. So your point is exactly right, which is this about creating a better kind of education. But they had no illusions about the idea that this would fit everything. So a couple key conditions. One is that you could learn it on a mobile app. So we talk about, say, learning how to do brain surgery. It's unlikely that you could do enough reps on a mobile app. So clearly that would be impractical. But the other one was that this is fundamentally about academic areas where you can quote-unquote learn through interaction or learn by doing. And so, wrote repetition, series of exercises, stimulus response, type educational processes. And so they believe that while history might be off the table, as well as neurosurgery, that music and math actually fit those requirements quite well. I think there was actually a line in the case where he may have said that those are like languages in some ways. And I think that's a really interesting insight because people who are mathematicians have described it in the same way. Absolutely. And they're like languages. There is skills acquisition. I mean, you, Brian, are a musician and you know, they're doing things like note identification, ear training, sight reading for all of us who've spent time trying to learn musical instruments. Those are all sort of core fundamental skills that are that you put together in order to create music. And they believe through wrote repetition and interaction with the layer of motivation created by the elements of gamification that they can actually address a learning agenda quite in a quite serious and substantive way. Yeah. And there's another language out there of coding. And a lot of people think is that something that they could also move into because coding is very much like one of these subjects and you can probably learn it in a similar way. And so that's an exciting opportunity for them to they haven't tried it yet. But they might. This is a fasting company for us to have written this case about for one other big reason we haven't talked about, which is that many people worry that generative AI is some kind of death star that will crater a lot of businesses and especially ones that look like this where they're teaching things where, for example, if Jenny I can do coding that then takes a beautiful shiny new line of business as Nicole just said and puts a conservo mat cloud of doubt over it. Sure. But even go back to language. A lot of people have believed that because of the existence of Google translate built into our smartphones. If you choose to deploy it, who needs to learn a foreign language again? And this is where it's interesting, which is that this is a company that has been fueled by generative AI rather than the opposite. I tend to and share this with the students that, to some extent, this is a very dramatic right now tale of two cities in the capital markets. And what I mean is if you put Duolingo side by side with another edtech platform called CHAG, which every one of our MBA students knows because CHAG helped them get through high school, college, maybe in business school, you'd check study in all those tutors and the database of 100 million answers. It's a very interesting story. You have Duolingo that went public at a roughly three and a half, four billion dollar valuation. And last time we checked prior to the recent market meltdown, it was 17, 18, 19 billion, a doubled in value just during the time we were writing the case. Meanwhile, CHAG from the advent in November 2022 of CHAT GPT, the introduction from OpenAI of GPT model 3.5, CHAG is down from its market high by 96%. Wow. Why is it down? Because there was considerable concern that that database of 100 million answers was now obsolete by a Gen AI that could provide answers for everything. Yeah. Nicole, let me come back to you because the case references the super app approach that Duolingo is considering. Can you talk a little about that and how it factors in? Yeah. They did initially launch math as its own app. And then they ultimately decided that they were going to move to a super app model. This was a subject of a lot of debate in Jeffrey's classroom. But ultimately, I think they decided that one of the reasons they had to move to a super app was because of discoverability problems. There's 2.2 million apps on the Apple App Store. There's 3 million apps on Google Play. It's just hard. It's hard to break through that clutter, even for a brand as well known as Duolingo. It's still hard. It was hard for them to break through that clutter. So that was one reason. Another reason was friction. When you get a new app, you have to download it. You have to set up your username and your password and then you have to log in. And all that takes time and time is friction on one of these mobile apps. So if you're on the main app, those Duolingo users are already signed in ready to go. They can start using it right away. So they decided that was another reason to go with the super app idea. But then also from a cost standpoint, the whole idea was to replicate the gamification features like leaderboards and streaks and the experience points. Ultimately, is it better to just build that once and be able to apply that same model to all these different adjacent subjects? Or do you want to have to pay for your engineers to keep building that over and over and over again? So from a cost standpoint, I think they decided they would get more economies of scale if they just kept it all in one super app. We talked about in the case and in the class that there are some risks to the whole super app approach because these new subjects are new. Yeah. It's taken them 12 years to get the languages to where they are today and they're really good. They're really high quality. But you know, math and music are new and they will admit they're not probably at that quality standard yet. And so what happens if you get a user who tries it out and then says, that's not really what I was expecting or that's not up to do a lingo standards. Will they go back? So I think there are legitimate risks to the first time user experience that they'll have to navigate. Are there also brand risks here? I mean, how far can you really push? How far should you push? This is probably an existential question for entrepreneurs anyway and you look at a lot of these ventures. What is reasonable for them to expect to be able to do or should they just stay in their lane? It's a great question because of course, dual lingo has both second language and language built into it. I mean, that's the essence of the name. It reminds me a little bit of the brand constraint that TV guide had in the late 90s when they tried to become a guide to the internet and the problem was their brand name was TV guide. That was a problem and another existential risk. The flip side of that argument though is that in the same way that people will say, this is the uber of X to talk about say a mobile based, you know, sort of sharing economy app, it is commonplace in the business world to talk about, I've got a great concept. It's the dual lingo of X and that has become so widespread that saturday live even did a parody of dual lingo for talking to children, which was one of their parries. It actually very funny skit. It may well be that they built enough equity in the name that again is associated not just about language, but about entertainment, about motivation, about improving yourself and that that has then become something that's transcended the underlying meanings of either dual or lingo. And thus is not a brand constraint. That's certainly what they're betting on. Nicole, you described the social media approach and the personality that they developed. It sounds to me like the culture there must be very entrepreneurial that they give people the freedom to experiment and do these things with the brand. At one point does the AI perhaps become a tension there because the AI is doing its thing. Does it impede their ability to continue to shape the brand and make it funny and fun and personable? Yeah, I think that's a real challenge for dual lingo. In the past, all of dual lingo was built by experts in learning science and teaching and entertainment who really could ensure that dual lingo maintained its signature style while also being a very effective learning tool. So now that AI is going to be building a lot of the content, dual lingo is really going to have to train it and monitor it so that it retains dual lingo's voice. And they're confident that they can do that, but they are putting guardrails on it. If you're on lily and you start to go astray and you're not talking about ordering your coffee at the local cafe, it is going to guide you right back and get you on to appropriate subjects if you're trying to take it somewhere it shouldn't be going. So you can't go rogue on lily. And there's also a bridge too far. There are some AI features that dual lingo decided were just a bridge too far. One of them was that they were looking at a feature that would clone a user's voice to create audio of them speaking. And they finally decided that was just simply too creepy and they decided not to do that. Yeah, we've seen that done in other places and it is creepy. It is very creepy. Yes. Probably should be against the law. But Jeffrey, you mentioned Google translate before. Why would anybody go to the effort to learn a language when the technology that allows you to translate is only going to get better and better? There is a fascinating answer to that, which is that dual lingo may teach more than 40 languages on that app. But the primary benefit to acquiring a language is not about 40 languages. It's about English. It turns out that of the eight billion humans on earth, a solid two billion are acquiring a second language and of that 25% of the human population on this planet, 1.4 billion, meaning 70% of them are acquiring English. Why would so many people learn English? And one of the things that we uncovered in this process is that those who acquire English effectively as a second language increase their earning power by 30 to 50% over the next chapters of their career. If you think about what that really means, if I'm now English proficient in a way I wasn't three years ago, English proficiency is not showing up for a meeting with you, Brian holding Google translate operating on my smartphone. It's actually me talking. So what's interesting is that yes, all of these ways in which AI or generative AI could become a death star for the business seem to have done the opposite, which is that one of the benefits in addition to what Nicole was describing with being able to have what seemed like natural language conversation with an avatar named Lily and take you beyond just sort of wrote classroom learning. Another part of it is that their ability to go into these adjacent subjects without massive cost to the development of content and materials is that they're using AI to do it. I mean, including one of the concepts they had a few years ago was, gee, people would really do well learning a language if they could listen to a podcast in the language they're learning. People love podcasts. We know that because you have such a huge fissure ship here at Coltcom. You hear that listeners? You love podcasts. They absolutely humans are genetically engineered to love podcasts. So they thought we wouldn't be great if you're studying French. You'd have a podcast in French. The estimate for how long it would take to build that was about five years plus a very large amount of deployed capital in the age of generative AI. They could do that in a few months. And there's now something called dual radio, which is a podcast and all the languages dual lingo will offer within the app. So it is very interesting to think that some of it is about avatars and being able to do a bunch of very interactive things. But some of it is also back to this issue of how do you make a business organization filled with brilliant human talent, even more productive than they already are. And it's very clear that some of their ability to explore new areas and develop new features is based on the productivity gains of putting genai to work. We've heard about Khan Academy. We've talked about a lot of the competitors that are in the space today. Dual lingo is going to have to continue to find ways to innovate, to differentiate themselves from these other groups. Did you talk with them and all about how they're thinking about the future and what that might look like? Yeah. If you look at the competitive ed tech landscape, it's very crowded. And you have both subject matter experts like prodigy for math, musician for music. And then there's a whole host of other more general ed tech players. Like you mentioned, like Coursera and Khan Academy. So on one hand, you can look at that and think, it's pretty fragmented. Now one's actually figured this out. Is this even a winnable market? But I think, you know, what we've talked about today is that dual lingo secret sauce is its gamification, which makes learning fun and sticky. And most of the other competitors that we've looked at don't use gamification. The other players are emphasizing learning over fun. And I think Duolingo has sort of this unique approach of focusing on the fun and you learn in the process. That makes it unique. And I should also note, I think we mentioned it before, but they don't feel that it's competing against other language apps like Rosetta Stone. Duolingo really feels like it's competing for your free time that you spend on apps like Instagram or like X. So in a way, they're not looking at the competition as being other edtech players, but just other ways you spend your time on your fun. That's a great insight. In fact, we did the Candy Crush case a while back there if you remember. Yes. You spend an inordinate amount of time on your phones playing games and things. So this seems to play right into their hands. Yes. And it's interesting that the psychological appeal of getting the same kind of snackable, highly addictive entertainment, but for something that feels worthwhile. Right. It's a very interesting differentiator for them. Yeah. Yeah. So let me give you the final word in this, Jeffrey. As we think about the challenges and opportunities that lie ahead for Duolingo, what do you think some of the lessons are that other tech companies can take from what they've been able to do? From my point of view, we've learned so much from this case, so I don't want to minimize it, but maybe it's two big things. One is that as we talked about before, we live in an attention-scarious economy. And so I increasingly think that the challenge for every company that fields digital devices, apps, screens is competing in a world where because attention is scarce, engagement is harder and harder to come by. We know that what creates valuable companies is customers who not only buy once, but come back over and over again. And it strikes me that there's a very profound lesson here about the power that goes beyond gamification of essentially using data and analytics, artificial intelligence to figure out how to maintain connection with the user. And what Duolingo is demonstrating as kind of laboratory for the world is, I would argue, valuable for any business that is thinking about competing again in any sector of the economy, which has too many competitors, too many offers, and too much choice. The other is something we haven't talked about as sort of an angle on this question of why move into math and music to complement languages is, of course, what they're doing is they're creating not a singular educational offer but a bundle. And it always reminds me of that famous quote from Jim Barclayl, the co-founder of Netscape, one of the early web browsers, who said there are only two ways to make money in business. One is to bundle and the other is to unbundle. And it's a very profound statement, which we could devote as separate podcast episode to, but clearly one of the things that they're betting on is that this is what in the gaming world is referred to like King as a freemium model or a free-to-play model, meaning that all of us can use Duolingo without paying for it, but about 8% of their monthly active users choose to pay. The question is, when somebody becomes a paying customer, that's a beautiful thing, because that means 8 million people are subsidizing 92 million people who get to use it for free, and they're accessing tiers of services and power tools and the kinds of AI applications we've been talking about. Clearly, those are a lot of benefits, but the other benefit is it's a bundle. And so part of the logic here is that like Netflix, which has a super abundance of programming that comes into a household where on any given day, if there are four or five members of a family, four may have tuned out and they'd be watching Hulu, but one of them is following a series on Netflix. And as long as there's one person in the household who still wants to stay connected, that subscription doesn't get canceled. One of the ways in which Severin Hacker talks about the new multi-subject Duolingo is that the aspiration or the ambition is that it becomes what he calls a forever app that is a utility like electricity, whatever we have in our homes. This is a knowledge utility that is sufficiently engaging that actually gets the education job done. And it's a forever app because there's always something somewhere on this app that will appeal to someone who's on a streak living in any given household. That's great. That's a great vision. Nicole Jeffrey, Merci beaucoup. Merci bien Brian. It is a pleasure to be here. Thank you so much. If you enjoy Cole-Colp, you might like our other podcasts. After hours, climate rising, deep-purpose idea cast, managing the future of work, Sky Deck, think big, buy small and women at work. Find them on Apple Spotify or wherever you get your podcasts. And if you could take a minute to rate and review us, we'd be grateful. If you have any suggestions or just want to say hello, email us at Cole-Colp at hps.edu. Thanks again for joining us. I'm your host, Brian Kenny, and you've been listening to Cole-Colp, an official podcast of Harvard Business School and part of the HPR Podcast Network.

Podcast Summary

Key Points:

  1. Duolingo's success stems from its use of analytical AI (Bird Brain) for personalized learning and heavy gamification (streaks, leaderboards) to boost engagement and retention.
  2. The company achieves viral, low-cost growth through organic social media marketing, particularly on TikTok, and a fun brand personality.
  3. Duolingo is exploring expansion into adjacent subjects like math and music, leveraging its interactive, skill-based learning model, while also using generative AI (e.g., chatbot Lily) to improve language fluency.
  4. A core strategic issue is whether growth requires diversifying beyond language learning or if there is sufficient headroom in its original market.

Summary:

The discussion centers on Duolingo's innovative approach to education, which combines advanced AI and gamification to make language learning engaging and habit-forming. Its analytical AI system, Bird Brain, personalizes lessons by tracking user performance to maintain motivation, while features like streaks and leaderboards tap into behavioral psychology to encourage daily use. The company has achieved remarkable growth, with 100 million monthly active users, largely through organic, viral marketing on platforms like TikTok, where its quirky brand persona resonates widely.

This allows for a very low customer acquisition cost. Duolingo now faces strategic decisions about expanding into subjects like math and music, which fit its interactive, skill-based model. The case also highlights its use of generative AI, such as the chatbot Lily, to practice conversation and potentially increase fluency.

While some critique its gamified approach as less serious, Duolingo's mission is to make high-quality education universally accessible and enjoyable, suggesting its methods could redefine modern learning.

FAQs

Duolingo's mission is to develop the best education in the world and make it universally available, extending beyond just language learning.

Duolingo uses analytical AI, like its Bird Brain system, to personalize lessons by tracking user progress and adjusting difficulty to maintain motivation and engagement.

Gamification, including streaks, leaderboards, and experience points, makes learning fun and addictive, encouraging daily use and habit formation among users.

About 80% of Duolingo's customer acquisition is organic, driven by word-of-mouth, social media sharing, and viral marketing, keeping acquisition costs low.

Duolingo is exploring adjacencies like math and music, focusing on subjects that can be learned through interactive, repetitive exercises on a mobile app.

The app uses notifications timed to previous usage, personalized messaging, and emotional cues (like Duo the owl being sad or mad) to motivate users to maintain daily streaks.

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