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Duolingo CEO and co-founder Luis von Ahn was tired of the gray and dreary design aesthetic edtech companies used to emulate universities. Instead, he and the company’s early team sought inspiration from games like Angry Birds and Clash Royale, looking to build a class that screamed more cartoon anarchy than lecture hall. From that frenetic creativity came the company’s distinctive mascot: a childish and rebellious evergreen-colored owl named Duo.

Duolingo didn’t just throw out the old colors though — it wanted to completely rethink language learning from the bottom up for mobile. So it replaced top-down curriculums with analytics-driven growth strategies, becoming consumed by an ethos that has more recently been dubbed product-led growth.

Used by companies such as Calendly, Slack and Dropbox, product-led growth is a strategy in which a company iterates its product to create loyal fans-turned-customers who popularize the product with others, creating a viral growth loop. It’s an attractive route because it vastly lowers the cost of acquiring users while also increasing engagement and thus retention. Duolingo, for example, has taken this model and found ways to embed engagement hooks, pockets of joy and addictive education features within its core app.

With early venture capital in its pocket, Duolingo could afford to focus on product over profits.

In part one of this EC-1, we explored how von Ahn’s previous products around CAPTCHA led to Duolingo’s launch, the rise and fall of crowdsourced translation as a way to disrupt language learning, and the accidental iteration of a top education app by a pair of interns. The startups’ early signs of success gave it energy to focus on growth to accomplish two things: know what they’re doing works, and garner a lot of user data so it continued iterating the product into something that was ever more addicting to use.

Now, we’ll analyze how Duolingo used product-led growth as a lever to expand its consumer base, and how a company built on gamification tries to balance its whimsy with education outcomes.

Duo, Duolingo’s mascot, flying around. Image Credits: Duolingo

From Angry Birds to an amusing and sometimes scowling owl

Tyler Murphy, having graduated from his intern position at Duolingo launching the company’s iOS app, noticed that the gaming world was rapidly innovating around him in the mid-2010s. Angry Birds was no longer the only popular game on mobile, and video games generally were getting more engaging, with in-app currencies, progress bars and an experience that felt creatively addictive. He suddenly saw connections between the entertainment that games provided and the patient learning required for languages.

“Wouldn’t it be cool if the skill got harder and harder, kind of like how a character in a game gets more powerful and powerful?” he remembers asking. Duolingo had taken early inspiration from Angry Birds as well as Clash Royale later, following that game’s launch in 2016. “Half the people at Duolingo were playing Clash Royale, at some point,” he said. “And I think that shaped our product roadmap a lot and our design language a lot.”

Games solved a problem that was acutely personal for Murphy. The employee, who would go on to become chief designer at Duolingo, had gone to college to teach Spanish to students, but ultimately left the field after struggling to inspire kids in a classroom setting. The realization that Duolingo could borrow from gaming instead of monotonous edtech companies gave an adrenaline rush — and permission — to the team to experiment with new approaches to learning.

Every game needs some form of experience points and leveling up, and for Duolingo learners, that progress comes in the form of skill trees.

These trees, which were conceived by a design agency during the company’s early development, are Duolingo’s core experience, a visual representation of language skills that are interconnected and get progressively more difficult and refined over time. Each skill is a prerequisite for another. Sometimes it’s just logic: in order to be able to speak about restaurants, you probably should be able to introduce yourself first. Sometimes, however, it’s a necessary building block: in order to speak about your routine, you should be able to speak about basic everyday activities.

In Duolingo, each unit has its own suite of skills, each of which is broken down into five lessons. Once you complete all five lessons, you can move to the next skill. Complete all skills and you can move to the next unit. Depending on the language, a user might encounter an average of 60 skills across nine different units within a course.

Duolingo Skill Tree UX in 2012. Image Credits: Duolingo

Duolingo Skill Tree UX in 2021. Image Credits: Duolingo

The growth power of a cartoon owl meme

Duolingo had its “leveling up” model figured out, but now it had to integrate gamification into every nook and cranny of its app. One of its first challenges was rebuilding the sort of teacher-student emotional bond that can help students stay motivated to learn. No one likes to fail, and Duolingo stumbled upon a scalable approach through its cartoon owl mascot Duo — also thought of by the design agency behind the skill trees.

Whenever users succeed or fail at their lessons today, they are likely to be encouraged or admonished by Duo’s presence. Designers sprinkled Duo throughout the product, looking at Super Mario Brothers as an example of how to use iconic art to create a friendly gaming experience. In early iterations of the app, Duo was present but static, more of an icon than a personality. That changed as the company increasingly pushed harder on engagement.

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As its meandering route to monetization will demonstrate, Duolingo isn’t mission-oriented, it’s mission-obsessed.

Co-founders Luis von Ahn and Severin Hacker never wanted to charge consumers for access to Duolingo content, a purpose imbued throughout the company’s culture. For years in order to work at Duolingo, you had to be comfortable with joining a company in Pittsburgh that was in no rush to make money. The startup, filled with education enthusiasts and mission-driven employees, became “very college pizza vibes,” Gina Gotthilf, former VP of Marketing at Duolingo, described. Everyone was against making money and having structure — some employees even threatened to quit if Duolingo ever charged a cent to users.

“One thing that recruited me was this brilliance that we can kill two birds with one stone,” she said, referring to Duolingo’s original translation-service business model we talked about in part one of this EC-1. “It was obviously tied to Luis’ thinking and reCAPTCHA and it was magical and brilliant.”

Free may not have paid the bills, but it did come with a valuable upside: growth. By 2017, Duolingo would boast having 200 million users, which was double von Ahn’s goal when he first launched to the public on the TechCrunch Disrupt stage.

Duolingo launched saying it would never do advertisements, subscriptions or in-app purchases — approaches that now all exist on the platform. Today, Duolingo has a simple freemium business model that is remarkably unconventional. It has a free version with all of its learning content, and it charges a subscription of $6.99 per month for paywalled features such as unlimited hearts, no advertisements and progress tracking. It also has a number of other revenue streams it’s developing, such as language proficiency tests.

As we’ll explore, Duolingo’s route from anti-business rebel to conventional consumer subscription is complex, full of twists and turns. While Duolingo never wanted to look like other edtech companies, as we saw with its product strategy in part two, it turns out that evolving from college pizza vibes meant that it would have to take a page from its peers.

Duocon, Duolingo’s new conference to celebrate education and language. Image Credits: Duolingo

Business only speaks one language: Money

“They had users and in Silicon Valley, there was this notion that if you have users, you can turn anything into money,” said Bing Gordon, the Kleiner Perkins Caufield & Byers (KPCB) partner who led Duolingo’s $20 million Series C in 2014.

“This was not very controversial back then, at least with investors,” von Ahn said. “This became controversial for us once we raised a ton of money, and we still weren’t making more money.”

While the company’s investors were relatively lenient in the early years, patience was starting to run thin. In June 2015, Duolingo raised a $45 million Series D round led by Laela Sturdy of Google Capital (later rebranded CapitalG), valuing the company at $470 million. She invested because of Duolingo’s growth and engagement numbers, but confronted von Ahn with some direct advice.

“She said to me, ‘Look, it worked for you to continue getting bigger and bigger checks from venture capital,’” von Ahn said. “‘But this is the last time it works for you … if you’re trying to con people, you cannot con anybody bigger than us [at Google].’” Duolingo’s valuation wouldn’t just be at stake next time it went fundraising on Sand Hill Road — its very survival would be as well.

Looking back, Sturdy said that she always “had confidence that they would come up with a revenue model” because of Duolingo’s passionate and organic users.

When a startup chooses to raise venture capital, it sets itself on a heavily-prescribed course. Suddenly, success isn’t defined merely as cash-flow breakeven with a long-term sustainable business. It has to be an exit of some sorts, and a big one at that. While Duolingo used venture as a lifeline to fund its product development, venture also came with pressure to become a billion-dollar company, or more. And that meant making revenue, not just growing engagement.

Von Ahn says his conversation with Sturdy is what really changed his mindset about money. After the Google check hit Duolingo’s bank account, he and Hacker began thinking about ways to make Duolingo as much a monetary success as it had been an educational one.

Duolingo’s Pittsburgh HQ. Image Credits: Duolingo

Dr. Ahn or: How I learned to stop worrying and love the revenue(s)

“It was clear that Luis didn’t have commercial instincts, he had cultural instincts and a deep focus on learning,” said Gordon. “[When we invested] Duolingo predicted it was on the verge of revenue growth, and it turned out it was not on the verge of revenue growth.”

What Gordon is alluding to was a litany of monetization attempts in Duolingo’s past. Translation, which helped von Ahn’s previous two startups, didn’t work when applied to language-learning services, and the company only secured two customers before ending the service. Business partnerships, such as a relationship with Uber to certify and train drivers in Brazil to speak English, didn’t catch fire.

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