Objective
Building a robust category structure keeping the users expectations, market trends and internal data into consideration
Process
•Reviewed current Shelf Space to identify the ambiguous categories
•Identified “Strength” and “Growth” categories based on supply and demand
•Evaluated Other E-commerce/ Classified sites
•Conducted Card Sorting to understand real users perception
•Redesign the IA on the basis of the tree test
•Test the redesigned versions and final shelf space proposal based on the results
Methodology
•Online “Tree testing” and “Card sorting” for validation of the final design conducted with the real users of OLX by intercepting them on the site through User zoom (200 participants) across different categories in different geographies across India.
•Offline card sorting – 16 participants
Insights
•Renaming of categories
•Need to merge categories to improve abundance
•Change level (Bring bike from L2 to l1)
•New shelf space
Go Live Strategy
•Initially we rolled out changes for 1 week on IOS, Windows and desktop platform for 1 week, once we confirmed that there are no drop offs we rolled out 100% on android
