Universal search
Zac Lin
Universal search
Mar 2020
-
Mar 2021
Universal Search allows accurate and efficient search for users to dive into the content which they are really into. Main functions include keyword suggestions and search history records. Search results will be categorized for direct and easy targeting. Meanwhile, code buried points are implemented in order to recommend content precisely. This project aims to retain and attract users with smart content search/ recommendation and hence, create more chances for business.
My Roles
User Research
Visual design
Interaction
Tools used
Sketch
Overflow
Zeplin
Abstract
InVision
Skills
Rapid prototyping
Scroll Down
My Responsibilites
The Challenge
The Solution
Learning and Takeaways
Design Goal
- Extendable
Layout and information hierarchy need to prepare for the growing types and amount of content.
- Low Learning Curve
Easy to adapt and browse to decipher the WANTED content
- Intelligent for Aggregated Content
Push the WANTED content (Big Data)
Site Map
User Journey Map
There are two kinds of search action:
- Users know clearly what they are searching for - Help them get result efficiently
- Users don't have a clear idea of what to search - provide more topics what user interested in
Sketching
Card Design idea
User Flow Diagrams
User Flow for App
User Flow for Web
Wire-framing
Visual Design
Key Screens for Universal Search on App
Key Screens for Universal Search on Web
Conclusion
