Improve Profile Completion Rate
Overview
This question evaluates a data scientist's skills in product analytics and experimentation, specifically metric definition and baselines, user segmentation, intervention prioritization, and experiment design to improve professional profile completion on a networking platform.
LinkedIn
Jul 12, 2025, 6:59 PM
Data Scientist
Onsite
Analytics & Experimentation
24
0
Increasing LinkedIn Profile Completion — Analytics & Experimentation (Onsite)
Context
Profile completeness affects members' visibility in search, quality of job matches, recruiter outreach, and trust. Assume a profile comprises fields such as: photo, headline, about/summary, experience (roles, descriptions, dates), education, skills, certifications, location, contact, open-to-work, and links. You may define a profile completeness score and choose field weights as needed.
Questions
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Metrics and Baselines
- What metrics would you use to quantify profile completion, and what current baselines would you establish?
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Segmentation
- How would you segment users to uncover completion gaps across demographics and intents?
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Interventions and Prioritization
- Propose interventions to improve completion and explain how you would prioritize them.
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Experimentation Framework
- Propose an experiment design to measure the effectiveness of your interventions, including success metrics, guardrails, and analysis approach.
Solution
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