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.

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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.

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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.‍

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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.‍

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User Adaptation

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

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