I would focus on improving LinkedIn's Jobs product. My primary goal would be to enhance the job discovery and application process to increase user engagement and conversion rates.
1. User Personas & Pain Points: I'd consider two key personas:
* Job Seekers: Often overwhelmed by irrelevant listings, struggle with tailoring applications, and face uncertainty about application status.
* Recruiters: Need efficient ways to find qualified candidates and manage their pipeline.
2. Prioritized Use Cases:
* Personalized Job Recommendations: Move beyond basic keyword matching to leverage AI for understanding user skills, career aspirations, and even inferred interests from their profile activity.
* Streamlined Application Process: Implement a one-click apply feature for jobs that match a high degree of profile completeness, and provide clear status updates on submitted applications.
* Skill-Based Matching: Develop a more robust system that highlights not just job titles but also the specific skills required, allowing users to identify and apply for roles that align with their developing expertise.
3. Proposed Solutions:
* Enhanced Recommendation Engine: Utilize machine learning to analyze user profiles, activity (posts liked, articles read, connections made), and past job applications to provide highly relevant job suggestions. This could include "jobs you might be interested in based on your recent activity."
* "Quick Apply" with Profile Optimization: For roles where a user's profile is a strong match, offer a "Quick Apply" option that pre-fills application fields. The system would also prompt users to complete missing profile sections crucial for specific job types to improve their chances.
* Application Tracker: Integrate a dashboard for job seekers to track the status of their applications (viewed, under review, interview scheduled, rejected) directly within LinkedIn, reducing anxiety and the need for manual follow-ups.
* Recruiter Insights: For recruiters, provide more granular data on candidate engagement with their job postings and offer AI-powered suggestions for passive candidates who might be a good fit but haven't actively applied.
4. Goals & Metrics:
* Increase Job Application Conversion Rate: Measure the percentage of users who view a job and subsequently apply.
* Improve User Engagement with Job Features: Track metrics like time spent on the Jobs page, number of jobs saved, and frequency of job searches.
* Boost Recruiter Satisfaction: Monitor recruiter feedback and the rate at which posted jobs receive qualified applicants.
LinkedIn