Max Fashion Search Experience
Max Fashion
Designing an intuitive and efficient search experience for a fashion e-commerce app.
The Problem
Users struggled to find specific items due to poor search relevance and lack of advanced filtering options, leading to high drop-off rates and lower conversion.
Context
Redesigning the search experience for a leading fashion retailer app to improve product discoverability and user satisfaction.
Key Decisions
- 01Implemented elastic search for real-time suggestions and spell correction
- 02Introduced visual search allowing users to find products by uploading images
- 03Redesigned filter UI to be more accessible and intuitive on mobile
Execution
- Analyzed search logs to identify common failed queries and user intent
- Prototyped multiple filter interactions and tested with 20 users
- Collaborated with backend team to optimize search result latency
Measurable Impact
Increased search conversion rate by 18%
Reduced 'no results' found queries by 45%
Improved average search session duration by 25%
Visual search adoption grew by 15% month-over-month
Key Learnings
"Search is not just about keywords; it's about understanding intent
"Visual search bridges the gap between inspiration and purchase
"Micro-interactions in filters significantly improve usability