LinkedIn — Job Recommendation Redesign
Improving relevance & explainability for job seekers
Product TeardownRecommendation SystemsUX
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The Insight
LinkedIn's job recommendations often feel generic, lacking transparency about why a role was suggested. Job seekers struggle to understand recommendation signals, leading to low engagement with suggested roles.
My Approach
- ▸Analyzed the existing recommendation feed to identify patterns in low-engagement suggestions
- ▸Studied competitor approaches to explainable recommendations
- ▸Designed a transparent recommendation framework showing match signals
What Was Built
- ▸Redesigned job recommendation cards with explainability layers
- ▸Added match-reason tags showing why each role was recommended
- ▸Proposed feedback loops to improve future recommendations
The Outcome
- ✓Comprehensive product teardown with actionable redesign proposals
- ✓Framework for transparent, explainable job recommendations
Reflection
Content coming soon — detailed case study in progress.