LinkedIn Career Planner
The AI-Powered LinkedIn Career Planner aims to transform the career planning experience for users by providing personalized career paths, skill gap analysis, and upskilling recommendations.
Problem Statement
How might we simplify career planning and skill development on LinkedIn by providing personalized, AI-driven guidance that helps professionals explore career paths, identify skill gaps, and upskill efficiently?
Problem Background
Early to mid-career professionals, including students, graduates, and young professionals, often find career planning overwhelming. They struggle to identify career paths, required skills, and steps to progress. While LinkedIn is widely used, its career guidance lacks personalization, leading users to spend time manually analyzing profiles and job descriptions. Surveys and a 2023 Linkedin report shows that users want AI- powered tools for skill gap analysis and career guidance. With workforce skills evolving rapidly, Linkedin is well-positioned to use AI to simplify career planning and enhance user experience.
Research Insights
User Pain Points
Through a survey, I found that students, recent graduates, and early to mid career professionals struggle with career planning.
- Overwhelming process – Identifying skills, certifications, and career paths is confusing.
- Lack of personalization – LinkedIn’s job recommendations don’t provide tailored guidance.
- Unclear industry trends – Users don’t know which skills/roles are most valuable.
- Time-consuming research – Manually analyzing LinkedIn profiles for career progression is inefficient.
Supporting Data
- 83.3% use LinkedIn for job searches, but only 16.7% use it frequently for career planning.
- 100% of respondents are interested in an AI-driven tool that provides career path recommendations.
- 66.7% want AI-generated career roadmaps, while 50% want personalized skill gap analysis.
- 50% find it difficult to access relevant career information.
Feedback
Users expressed frustration with LinkedIn’s current career tools and showed strong interest in AI-driven career insights.
- "Job matches should be more relevant - I get suggestions that don’t align with my experience."
- "I’d love a ‘real career path’ feature that shows actual steps taken by professionals in my desired field."
- "With AI, it can definitely be better."
Landing on the Solution
To address the challenges identified in our research, I propose integrating an AI-powered career planning tool within LinkedIn. This tool will provide users with personalized career path suggestions, skill gap analysis, and upskilling recommendations.
Key Features:
- Personalized Career Paths: AI suggests 3 career paths based on user profile + industry trends.
- Skill Gap Analysis: Compares user skills to target job roles, highlighting missing skills.
- Career Transitions: AI recommends realistic job pivots based on successful transitions.
- Upskilling Recommendations: Suggests LinkedIn Learning courses based on desired fields and roles.
Future Steps
We can look to expand to these features in the future :
- Upskilling Recommendations Based on Market Demand
- LinkedIn Profile Optimization Based on Job Trends
- AI-Driven Salary and Career Growth Projections
Learnings
Product Manager Learnings:
Siddhant Bajaj
The AI Product Management Co.Lab Program was a great learning experience that helped me build key product management skills. Through this program, I:
- Improved communication & storytelling – Learned how to turn research into a clear product vision.
- Created my first wireframe– Gained hands-on experience with design fundamentals.
- Prioritized features effectively – Used impact vs. feasibility frameworks to focus on what matters.
- Validated user pain points with data – Developed a structured approach to understanding user needs.
Overall, this program gave me a solid foundation in product thinking and decision-making.
Designer Learnings:
Designer Learnings:
Jo Sturdivant
- Adapting to an Established Team: Joining the team in week 6 of 8 was challenging, as I had to quickly adapt to existing workflows, dynamics, and goals. This mirrors real-world situations where you often integrate into teams mid-project, and flexibility is essential.
- Work-Blocking for Efficiency: With only two weeks to complete the project, I learned the importance of a structured work-blocking system. This approach allowed me to manage my time effectively and meet deadlines under pressure.
- Making Data-Driven Design Decisions: Unlike my past projects, I had to rely on research conducted by others. This was a valuable experience in using pre-existing data to guide design decisions, helping me focus on the core insights without starting from scratch.
Developer Learnings:
Developer Learnings:
Vanady Beard
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As the back-end developer, I learned how important it is to create efficient and reliable systems that support the entire application. This experience also taught me the importance of optimising the database and ensuring the backend is scalable and easy to maintain.
Developer Learnings:
Stephen Asiedu
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As a back-end developer, I've come to understand the importance of being familiar with various database systems and modules. This knowledge enables me to build diverse applications and maintain versatility in my work. I've also learned that the responsibility for making the right choices rests on my shoulders, guided by my best judgement.
Developer Learnings:
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Developer Learnings:
Maurquise Williams
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- Process of Creating an MVP: Developing a Minimum Viable Product (MVP) taught me how to focus on delivering core functionalities balancing between essential features and avoiding scope creep.
- Collaboration in a Real-World Tech Setting: This experience taught me how to collaborate efficiently in a fast-paced tech environment, keeping the team aligned and productive, even while working remotely across time zones.
- Sharpening Critical Thinking and Problem-Solving Skills: This experience honed my ability to think critically and solve problems efficiently. By tackling challenges and finding quick solutions, I sharpened my decision-making and troubleshooting skills in a dynamic, real-world setting.
Developer Learnings:
Jeremiah Williams
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All in all this experience was very awesome I learned that in coding with others being transparent is key
Developers Learnings:
Justin Farley
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I learned how important communication is when working with a team. Communication provides understanding, advice, ideas, and much more. While working with the product team, I’ve found that communication keeps everything flowing smoothly. Working with a team also showed me that every member brings something different to the table and we all have to work together in order to align and meet our end goal.