An end-to-end product management case study — from user research and journey mapping to root-cause analysis, feature prioritization, MVP definition, wireframe design, and success metrics.
This case study explores how LinkedIn Jobs could improve the internship application experience for students by introducing a centralized application tracking system. The project follows a structured product management process: user research, journey mapping, root cause analysis, feature prioritization, MVP definition, wireframe design, and success metrics.
LinkedIn is one of the primary platforms used by students to discover internships and entry-level job opportunities. While the platform enables job discovery at scale, the application journey often becomes difficult to manage as students apply to multiple roles simultaneously.
This case study aims to investigate the challenges students face throughout the internship application process, identify key pain points through user research, and propose product improvements that enhance the overall experience.
Students applying for internships and entry-level jobs often struggle to find relevant opportunities, track application progress, manage deadlines, and follow up effectively.
The objective of this study is to identify the most critical pain points in the student job application journey and propose a product solution supported by user research.
"A poor application management experience can lead to missed opportunities, lower engagement, and frustration during the job search process."
A mixed-methods approach — quantitative reach through a survey, qualitative depth through interviews — aimed at students actively navigating the internship search.
Ten questions designed to surface search behavior, tracking habits, frustration points, and satisfaction with LinkedIn Jobs today.
These insights were synthesized to understand common challenges faced by students during internship applications, and were used to guide product decisions throughout this case study.
Problems were prioritized using an Impact vs. Frequency framework. High-frequency problems affecting a large number of students, and significantly impacting the internship application journey, were assigned the highest priority.
| Opportunity | Impact |
|---|---|
| Application Tracking | High |
| Follow-Up Reminders | High |
| Centralized Dashboard | High |
| Job Relevance Improvements | Medium |
| Referral Management | Medium |
| Problem | Freq. | Severity | Priority |
|---|---|---|---|
| Application Tracking | High | High | P1 |
| Missing Follow-Ups | High | High | P1 |
| Relevant Job Discovery | High | Medium | P2 |
| No Centralized View | High | Medium | P2 |
Among the identified challenges, Application Tracking emerged as the highest-priority problem due to its high frequency and severity. Students applying to multiple internships often struggle to track application status, manage follow-ups, and maintain visibility into their job search pipeline. Since application tracking is closely linked to follow-ups and application visibility, addressing this problem has the potential to improve multiple parts of the internship application journey.
Students applying to multiple internships and jobs lack a structured way to track application progress, interview stages, recruiter communication, and follow-up actions within LinkedIn.
The primary persona grounding every product decision in this case study.
Mapping Kushal's path from job discovery to interview reveals where uncertainty and effort accumulate.
Core problem — students struggle to effectively track and manage internship applications after submission. Why does this happen?
Students apply through LinkedIn, Internshala, Unstop, company career pages, referrals, and other job portals. As a result, application information becomes fragmented and difficult to manage.
Most students rely on memory, screenshots, notes, or spreadsheets to track applications. These methods are often inconsistent and difficult to maintain.
Once an application is submitted, students receive limited visibility into its progress. This creates uncertainty regarding the next steps.
Students rarely have a systematic reminder mechanism for recruiter follow-ups, resulting in missed opportunities.
Interview schedules, recruiter communication, and application status updates are often stored in different places, creating additional complexity.
The primary issue is not the application process itself. The core problem is the absence of a centralized system that helps students monitor application progress, manage follow-ups, and maintain visibility throughout the hiring journey.
Based on the identified user pain points and root causes, multiple solution approaches were explored before selecting a final direction.
| Solution | Description |
|---|---|
| Application Tracker | Allows students to monitor application status across opportunities |
| Follow-Up Reminder System | Sends reminders for recruiter follow-ups and pending actions |
| Job Search Dashboard | Provides a centralized view of applications and upcoming activities |
| AI Job Matching | Improves discovery of relevant internship opportunities |
| Interview Management Tool | Helps students organize interview schedules and preparation |
Application Tracker, Dashboard, and Follow-Up Reminders were selected for the MVP because together they address the highest-priority user pain points while requiring moderate implementation effort. More advanced capabilities such as AI Job Matching and Interview Preparation were intentionally deferred to future releases.
| Solution | User Impact | Effort | Priority |
|---|---|---|---|
| Application Tracker | High | Medium | P1 |
| Follow-Up Reminder System | High | Low | P1 |
| Job Search Dashboard | High | Medium | P1 |
| AI Job Matching | Medium | High | P2 |
| Interview Management Tool | Medium | Medium | P2 |
To determine which features should be included in the initial product experience, features were evaluated based on user impact and implementation effort.
| Feature | User Impact | Effort | Priority |
|---|---|---|---|
| Application Tracker | High | Medium | P1 |
| Follow-Up Reminders | High | Low | P1 |
| Centralized Dashboard | High | Medium | P1 |
| AI Job Matching | Medium | High | P2 |
| Interview Preparation Hub | Medium | High | P2 |
The initial product experience focuses on solving the most critical user pain points around application management and follow-ups.
The solution enables students to track application status, monitor hiring progress, manage follow-ups, and view all active applications from a single dashboard — reducing uncertainty and improving visibility throughout the internship application journey.
Student discovers a job opportunity on LinkedIn.
Student submits an application.
Student clicks "Track Application".
Application is automatically added to the Application Dashboard.
Student updates application status as the hiring process progresses.
System generates reminders for pending follow-ups.
Student views all applications from a centralized dashboard.
Student manages interviews and tracks progress until the final outcome.
The proposed flow reduces the need for external tracking tools and provides students with a centralized location to monitor application progress, manage follow-ups, and maintain visibility throughout the hiring process.
The proposed solution consists of three core features designed to address the most critical user pain points identified during the research process.
Help students monitor the progress of every internship application from submission to final outcome.
Provide a centralized view of all active internship applications.
Reduce missed recruiter follow-ups and improve application management.
The MVP focuses on three features — Application Tracker, Application Dashboard, and Follow-Up Reminders. These directly address the highest-priority user pain points identified during the research phase while maintaining a focused and achievable product scope.
A set of success metrics were defined to measure user adoption, engagement, and application management efficiency.
This metric measures the average number of internship applications actively tracked by a student within the platform. It was selected because it directly reflects the core value of the solution: helping students manage and monitor their internship applications effectively.
Tracked Applications per Active Job Seeker was selected because it directly measures whether users are consistently using the proposed application management system. Increased adoption of application tracking naturally drives dashboard engagement, reminder usage, and overall product value.
The proposed solution consists of three primary interfaces — Application Tracker, Application Dashboard, and Follow-Up Reminder System — shown here across four core screens.
The proposed solution is expected to improve the internship application experience by helping students organize, track, and manage their job applications more effectively — reducing friction during the application journey while improving visibility into hiring progress.
This project helped develop a structured product thinking approach by moving from user research to solution design and success measurement.
This case study explored how LinkedIn Jobs could better support students throughout the internship application journey.
Through user research, journey mapping, root cause analysis, feature prioritization, and wireframe design, it proposed a centralized application management solution to simplify application tracking and reduce missed opportunities.
The project demonstrates a structured product management approach that balances user needs, business value, and measurable product outcomes.