Reimagining LinkedIn Jobs for Student Internship Application Management

Students lose track of their own applications

Students applying to internships at volume manage their pipeline across spreadsheets, inboxes and memory. The jobs product helps them apply, but not manage what happens after applying.

Journey mapping the student hiring path

• Mapped the end-to-end student internship journey, from discovery to outcome
• Identified pain points at each stage of the application lifecycle
• Analysed the existing product surface and where it drops the user

The gap is post-application, not pre-application

Discovery and applying are well served. The unsupported moment is everything after submit — status ambiguity, follow-up timing and portfolio-level visibility across many applications.

Feature prioritization against student value

• Scored candidate features by user impact and implementation effort
• Cut features that duplicated existing surfaces
• Kept scope inside the existing product's mental model

A focused application-management MVP

The MVP defines a management layer for submitted applications, with clear status, reminders and a single view of the student's active pipeline.

Low-fidelity wireframes

Low-fidelity Figma wireframes were used to test the structure of the flow before any visual design work.

Case-study wireframes — not a shipped LinkedIn feature.

North Star Metric and supporting KPIs

A North Star Metric and a supporting KPI set were defined to measure whether the management layer actually reduces student drop-off. Full detail lives in the case study.