How can we enhance Lazada's mobile app search functionality to help users find products faster?

Introduction

To enhance Lazada's mobile app search functionality and help users find products faster, we need to take a comprehensive approach that considers user behavior, pain points, and technological opportunities. I'll outline a strategy to improve the search experience, focusing on key user segments and their specific needs.

Step 1

Clarifying Questions (5 mins)

• Looking at Lazada's position in the e-commerce market, I'm thinking about the competitive landscape. Could you share insights on how our search functionality compares to major competitors like Shopee or Amazon?

Why it matters: Helps identify gaps and opportunities for differentiation Expected answer: Lazada's search is functional but lacks advanced features like visual search Impact on approach: Would focus on innovative search technologies to leapfrog competitors

• Considering user behavior, I'm curious about the most common search patterns. What percentage of users use text search versus category browsing, and how does this impact conversion rates?

Why it matters: Determines where to focus our efforts for maximum impact Expected answer: 70% text search, 30% category browsing; text search has higher conversion Impact on approach: Would prioritize text search improvements while considering category integration

• Thinking about Lazada's broader strategy, how does improving search align with other company initiatives? Are we focusing on increasing average order value, user retention, or expanding to new market segments?

Why it matters: Ensures our solution supports overarching business goals Expected answer: Primary focus on user retention and increasing repeat purchases Impact on approach: Would emphasize personalization and efficiency in search results

• Considering the technical infrastructure, what are the current limitations of our search engine? Are we using any AI or machine learning models in our current implementation?

Why it matters: Identifies technical constraints and opportunities for innovation Expected answer: Basic keyword matching with some ML for ranking, but no advanced NLP Impact on approach: Would explore integrating more advanced AI/ML technologies