How Duolingo built an AI conversation bot – Zan Gilani (Principal Product Manager, Duolingo)

In this episode, Zan Gilani, principal product manager at Duolingo, discusses the innovative use of AI in language learning, particularly through the video call feature with their character, Lily. He shares insights on creating engaging and authentic conversational experiences, the importance of reducing stress in language learning, and the principles that guide Duolingo's product management approach. Zan also highlights the journey of developing the video call feature, the significance of A/B testing, and the challenges of scaling the product effectively.

Featured Links: Follow Zan on LinkedIn and his website | Duolingo Lily feature | 'What we learned at Pendomonium and #mtpcon Raleigh: day 2' feature by Louron Pratt

Chapters
00:00 Introduction to Duolingo and Zang Gilani
03:02 The Role of AI in Language Learning
05:51 Principles of Effective Conversational AI
09:11 Creating a Stress-Free Learning Environment
11:52 Duolingo's Product Management Approach
14:49 The Journey of the Video Call Feature
17:47 A/B Testing and Metrics in Product Development
21:04 Scaling and Future Directions for Duolingo

Key takeaways
Speaking a foreign language can be emotionally draining.
Duolingo's video call feature allows for real-time conversation practice.
Authenticity in conversations is crucial for effective learning.
Entertainment value is key to maintaining user engagement.
Reducing stress in language learning enhances confidence and willingness to engage.
Duolingo's product philosophy focuses on long-term user motivation.
The team runs over 380 tests daily to optimize user experience.
Building a working prototype is essential for gaining support.
Scaling requires careful planning and onboarding processes.