Diagnose Job-Application Decline: Funnel Stages and KPIs Analysis
Company: LinkedIn
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Onsite
##### Scenario
A job-search platform notices a sudden drop in its job-application metric.
##### Question
The job-application metric has declined; how would you systematically diagnose the cause? Which funnel stages and upstream/downstream KPIs would you examine? How would you separate external factors (e.g., seasonality) from product issues? What analyses would you run to evaluate demand–supply balance (job postings vs. seekers)? How would you segment results (platform, user type, region) to localize the problem?
##### Hints
Think full-funnel breakdown, time-series baselines, supply/demand ratios, cohort & geo splits, external benchmarks.
Quick Answer: This question evaluates a data scientist's skills in product analytics, diagnostic funnel analysis, KPI selection, time-series and causal reasoning, and supply–demand assessment across segmented cohorts within the Analytics & Experimentation domain.