Mejuri

Search Feature Optimization

Year

2019

Launch Date

Fall 2024

Project Type

UX/UI

Role

Lead Product Designer

Agency

Project Overview

Mejuri's existing search functionality has not been fully optimized, leading to a suboptimal user experience. Given the high intent typically associated with users utilizing search functions, there is a significant opportunity to impact sales and customer satisfaction through targeted improvements.

Problem

Mejuri's existing search functionality has not been fully optimized, leading to a suboptimal user experience. Given the high intent typically associated with users utilizing search functions, there is a significant opportunity to impact sales and customer satisfaction through targeted improvements.

Approach

  1. Enhanced Usability
    • Simplified the ability to re-search items, reducing the steps required to refine or alter search queries.
    • Introduced search term recommendations to assist users in refining their searches based on common and related queries.
  2. Search History and Recommendations
    • Integrated a feature to display users’ search history along with recommended products, enhancing the personalized shopping experience.
  3. Improved Default State
    • Configured the search bar to display popular searches when not in use, guiding users towards trending products and searches.
  4. Optimized Loading Results Experience
    • Addressed the issue where the "sorry, no results" message was mistakenly shown during the loading phase. Implemented a clear loading indicator to set correct expectations.
  5. Predictive Search Functionality
    • Deployed predictive search capabilities to offer real-time suggestions and possible product matches as users type their queries.
  6. Enhanced Error Handling and Suggestions
    • Provided helpful suggestions and alternative search terms when no matches are found, ensuring users are not left without options.
  7. Search URL Accessibility
    • Enabled the creation of URLs for specific search results, making it easier for users to return to or share their searches.

‍

No items found.

Results

Increased User Engagement: The introduction of predictive search and search recommendations significantly increased user interaction with the search feature.

Higher Conversion Rates: With more relevant search results and an improved user experience, there was a noticeable improvement in conversion rates from search.

Enhanced Customer Satisfaction: The clarity in the loading results and the ability to easily share and revisit searches enhanced overall customer satisfaction.

‍

Key Takeaways

Balancing Speed and Accuracy

Implementing predictive search required optimizing the balance between speed of results and the accuracy of suggestions, ensuring a seamless user experience without overwhelming the user with irrelevant options.‍

‍

Integrating with Existing Infrastructure

‍Enhancing search functionalities involved deep integration with Mejuri's existing product database and handling large datasets efficiently to maintain fast response times.‍

‍

User Adaptation

‍Educating users about the new features and encouraging their use was critical to ensure the uptake of enhanced functionalities.

‍

View More Projects

Mojo Brand Identity

Gwella Branding

Staples Brand Refresh