Overview
The article discusses LinkedIn's efforts to enhance its search experience by streamlining the infrastructure and improving both member and engineer interactions. It highlights the significant reduction in onboarding time for new search entities and the positive impact on member engagement and job applications.
What You'll Learn
1
How to reduce onboarding time for new search entities to less than one week
2
Why a consistent architecture across platforms enhances developer productivity
3
How to implement a reusable search framework for improved UX components
Prerequisites & Requirements
- Understanding of search infrastructure and API design
- Experience with frontend and backend development(optional)
Key Questions Answered
How has LinkedIn improved its search experience for members?
LinkedIn has revamped its search experience by creating a streamlined and intuitive interface that integrates various entities like people, jobs, and groups. This overhaul has led to a significant increase in member engagement, with a double-digit percentage rise in job applications and connections made through search results.
What architectural changes were made to support new search entities?
The engineering team focused on creating a consistent architecture that allows for faster onboarding of new search entities, reducing the time from 21 weeks to just 1 week. This was achieved through the development of reusable UI components and a common API endpoint.
What are the key design principles for LinkedIn's new search infrastructure?
The design principles include commitment to craftsmanship, a testable and debuggable platform, accessibility, security, and maintaining a fast user experience. These principles guided the development process to ensure high-quality outcomes.
How does the new search framework enhance developer productivity?
By implementing a reusable search framework, LinkedIn has enabled partner teams to build complete search functionalities across all platforms within a week. This consistency reduces the need for custom implementations, streamlining the development process.
Key Statistics & Figures
Reduction in onboarding time for new search entities
95%
The time decreased from 21 weeks to just 1 week, significantly enhancing developer productivity.
Increase in job applications from search results
Double digit percentage increase
This improvement indicates that members are finding more relevant opportunities through the enhanced search experience.
Key Actionable Insights
1Implement a reusable search framework to enhance UX consistency across platforms.This approach allows for faster development cycles and reduces the onboarding time for new features, which is crucial in a rapidly evolving tech landscape.
2Focus on architectural consistency to improve developer experience and productivity.A consistent architecture minimizes confusion and redundancy, enabling developers to work more efficiently and effectively across different platforms.
3Prioritize comprehensive tracking and monitoring in your search infrastructure.Having robust tracking in place allows for better data collection and analysis, which can significantly improve machine learning models and user experience.
Common Pitfalls
1
Failing to standardize UI components can lead to inconsistent user experiences.
Without a common framework, different teams may implement their own solutions, resulting in a fragmented experience that confuses users and complicates maintenance.
2
Neglecting to incorporate comprehensive tracking can hinder data-driven improvements.
Without proper tracking, it becomes difficult to understand user interactions and improve the search experience based on real data.
Related Concepts
Search Infrastructure Design
API Development Best Practices
User Experience Optimization