Improve Profile Completion Rate

Q: Improve Profile Completion Rate

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.

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Question

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

Metrics and Baselines
- What metrics would you use to quantify profile completion, and what current baselines would you establish?
Segmentation
- How would you segment users to uncover completion gaps across demographics and intents?
Interventions and Prioritization
- Propose interventions to improve completion and explain how you would prioritize them.
Experimentation Framework
- Propose an experiment design to measure the effectiveness of your interventions, including success metrics, guardrails, and analysis approach.

Improve Profile Completion Rate

Increasing LinkedIn Profile Completion — Analytics & Experimentation (Onsite)

Context

Questions

Solution

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