Tools Used: Figma, Product Strategy, User Research, UX Wireframing, Experiment Design, Metrics Definition

Category: Product Management · Growth · Engagement · Retention

🧩 Problem Statement

Duolingo is highly effective at converting short bursts of attention into long-term habits through relevance, feedback, and visible progress.

However, during short, high-intent moments like upcoming travel, learners face friction:

• Motivation is high, but learning direction is unclear
• Generic lessons feel overwhelming and unfocused
• Users don’t know what to practice right now for real-world conversations

As a result, Duolingo risks missing a key opportunity to deliver contextual value at a moment when learners are most likely to engage consistently.

🛠️ Approach & Methodology

1️⃣ Core Interaction Analysis

• Analyzed Duolingo’s existing habit loop:
  • Short lessons
  • Immediate feedback
  • Progress signals
• Identified upcoming travel as a:
  • Clear goal
  • Time-bound deadline
  • Real-world application trigger
• Hypothesized that adapting learning to a specific trip context would improve engagement and perceived usefulness without disrupting core mechanics

2️⃣ User Research & Persona Definition

• Defined a primary persona:
  • Young professional traveling internationally
  • High motivation, low clarity on what to practice
• Identified the core pain point:
  • Learners want practical confidence fast, not abstract language mastery
• Extended insights to secondary personas:
  • Frequent business travelers
  • Backpackers
  • Students studying abroad