A Seamless Search Experience
Enhanced Product Discovery and Navigation, Reducing Friction by 27% and Increasing Engagement with a 4x Boost in Product Views
OVERVIEW
Reebonz’s search experience was redesigned to enhance product discoverability and streamline navigation. The new search system introduced persistent search functionality, service-specific filters, and a more intuitive search flow, eliminating friction and improving the efficiency of product discovery.
The results were impactful:
A 27% reduction in back-button clicks
A 4x increase in rental product views
A 47% boost in conversion rates.
MY ROLE
Improved search experience through UX/UI design
Conducted data-driven analysis to identify and solve key pain points
Enhanced search usability and optimized filtering systems
TOOL
Figma, Redash, Crazy Egg
TEAM
1 Product Manager
1 Product Designer
2 Engineers
1 Analytics
TIMELINE
September 2022 - February 2024
(12 Months)
CONTEXT
About Reebonz
Reebonz is an online platform offering three luxury services:
With such diverse offerings, optimizing the search experience was crucial to ensuring that users could quickly and accurately find their desired products.
PROBLEM DISCOVERY
Inefficient
Search Experience
Users struggled to edit their search terms, requiring repeated use of the back button, leading to frustration and abandonment.
Uneditable Search Bar in Result Page
Product Categorization Issues
Store, Rent, and Vintage items were mixed together, making it difficult for users to find the specific type of product they were looking for.
Mixed Products in Search Result Page
PROJECT GOAL
1.
Simplify search modification for a smoother user flow
2.
Providing service-specific search results for Store, Rent, and Vintage categories
PROJECT TASK I
Improving
Search Editing Process
PROBLEM
Barriers in Search Modification
Leading to User Frustration
1
Back-button clicks were 3x higher than other navigation actions, indicating inefficiencies in search terms modification.
2
The Back button did not provide a clear exit from search, functioning more like a browser back action. Instead of returning users to their previous page, it only reverted their most recent action, causing unintended friction.
APPROACH
Unified Search Header
Across Pages
The same search bar header was implemented across the search page, input field, and search results page, allowing users to modify their search directly on the results page without navigating elsewhere.
Enhancing
Back-Button Usability
After the improvement, the Back button now returns users directly to the previous page, enabling a faster and more intuitive search experience.
DESIGN DECISION
Refining
Back Button Behavior
Analyzing search navigation across multiple e-commerce platforms, I identified four major approaches to handling Back button interactions. Most platforms allowed users to exit search seamlessly instead of stepping back through each past action (Pattern 2).
Previously, our Back button functioned like a browser back action, requiring users to undo each modification one by one (Pattern 1). This created unnecessary friction, making it difficult to exit search efficiently.
To resolve this, I redesigned the Back button behavior to return users directly to their pre-search page, aligning with common UX patterns and improving navigation flow.
PROJECT TASK II
Optimizing
Filtering & Categorization
USER SEGMENTS & KEY INSIGHTS
Through user data analysis, three primary user types were identified:
Luxury Buyers
Prioritize brand and price, searching for specific products quickly.
01
Luxury Renters
Focus on rental availability and reservation type (subscription vs. one-time rental).
02
Vintage Buyers
Emphasize product condition and authenticity, making more deliberate purchase decisions.
03
PROBLEM
65% of users reapplied product-type filters after initial searches, suggesting inefficiencies in categorization.
APPROACH
Making Service-Specific
Exploration Easier
1
Redesigned it into a fixed tab structure, allowing users to easily switch between Store, Rent, and Vintage.
2
Customized filters were introduced for each service: the Rent was refined with Reserve/Subscribe filters, while the Vintage category included Product Condition filters, enabling users to quickly find essential information.
DESIGN DECISION
The initial design (V1) used an Integrated tab, grouping Store (new) and Vintage (pre-owned) products under 'Store' based on the assumption of shared purchase behavior.
V2 prioritized Store due to business data showing higher search volume for new products, removing Rent tabs in favor of a direct link to rental listings. However, heatmap analysis revealed strong rental search intent, prompting an iterative redesign (V3).
Further user research confirmed distinct browsing behaviors among Store, Rent, and Vintage users, leading to the final four-tab solution (V4): All, Rent, Vintage, and Store.
This structure elevated Rent as a top revenue category, improved Vintage discoverability, and used the All tab to encourage service exploration—enhancing both user experience and business alignment.
IMPACT
Back-Button Clicks
User Interactions
Conversion Rate
Key Takeaways
1
Data-Driven UX Enhancements
Yield Tangible Results
User behavior analysis allowed us to accurately identify key pain points and apply effective solutions. Combining both quantitative and qualitative data proved essential in optimizing the search experience!
2
Unexpected Outcomes
Require Further Analysis
While the initial goal was to improve the search experience, conversion rates increased by 47%, an unanticipated yet valuable outcome. Future projects should consider optimizing both the search and purchase journey in parallel.
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