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How do you order Coffee?

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Transforming Language Learning with GenAI

by Team 5

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Agenda

  1. Introduction
  2. Environment Analysis
  3. User needs discovery
  4. Feature proposal
  5. A/B testing
  6. Next steps

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Duolingo is market leader with a Market Cap of 9B

Environment Analysis for Duolingo (3C)

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CompanyThe company offers a platform for learning different languages through bite-sized lessons designed to feel like games for over 40 languages.

Freemium model that allows users to access basic features for free, with premium subscriptions available for enhanced learning experiences.

Customers�Targets broad audience of language learners, including students, professionals, and casual learners.

Over 500 million registered users worldwide, spanning across different age groups, from children to adults, and diverse geographic regions.

Direct competition from other apps like Babbel, Rosetta Stone, Memrise and indirect from language schools and learning apps.

Competition

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What our customers are saying?

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User feedback on Reddit and Play Store frequently questions the usability of Duolingo for fluent conversations

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Focusing on Customer Needs

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Lack of Conversational Confidence

A user experience study published on Statista found that 80% of learners expressed that not being able to practice with native speakers was a significant barrier to continuing their subscription to language learning services

Gap in Accent and Diction Training�UGC indicates that learners find it challenging to mimic native accent and diction. ��Need for personalised solutions�Traditional one-size-fits-all solutions are not working.

User : A student travelling to a new country on exchange program

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Objective: Improve Late Journey User Retention

Solutions Explored:

  • Agent Based Chat�
  • Peer-Peer Community Challenge �
  • AI enabled voice chat

Prioritization Rubric

  • User confidence Impact�
  • Retention�
  • Effort to build�
  • Scalability

With high scalability and quick to market and reasonable retention - Introducing DuoLE

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DuoLE

डुओले

ثنائي

দুয়োলে

Дуолей

多樂

დუოლეი

דואוליי

デュオレー

ಡ್ಯುಲೇ

ឌុយឡាយ

듀오레이

ਦੁਆਲੇ

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DuoLE is an GenAI enabled voice chatbot capable of having real time conversations

  • DuoLE – Duolingo Language Engine will be powered by proprietary language model and be able to have natural conversations with users on a wide range of topic depending on users' proficiency
  • DuoLE will use a voice modulation framework to sound like a native speaker with special focus on accent and diction

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A look into the product mock-up

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Practice real world scenarios

Practice with AI

Get a prompt based on lessons progressed so far and converse

Tap here to start a conversation with Gen AI bot

Motivation Card

A motivational nudge with tangible output of using the above feature

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DuoLE will be integrated with existing service to offer highly accurate voice chat

  • Develop a POC with Data and AI teams�
  • Test the system within the company and gather customer feedback�
  • Perform integration with existing stack – reduce developer time�
  • Ensure model works on any language – can be used for all present or future offerings�
  • Enable integration with both mobile and desktop app

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98%

Aim: Achieve accuracy in understanding the user input and responding 1

1. Run 1000 hour of conversations in French

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Implementing A/B tests for Continuous Improvement

  • Our A/B tests will focus on 3 key areas
    • Engagement
    • Retention
    • Monetization
  • Each test will have a hypothesis and metrics to prove/ disprove the hypothesis
  • We will run multiple A/B tests at the same time because running separate tests will take too much time and give isolated results
  • All tests will be run for a duration of 2 weeks post which we will decide if we have enough data to evaluate the hypothesis
  • The user base for all A/B tests will be 1% of customers randomised demographically

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A/B testing with different voices

Area - Engagement

Hypothesis - Users are more receptive to certain voices than others

Variable - Use 4 different voices

Metric - Average session duration per user per day

Cohort - 1% of randomized French learners worldwide

Duration - 2 weeks

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Young woman

18-23 year old

Middle aged woman

40-50 year old

Middle aged man

40-50 year old

Young man

18-23 year old

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Q&A