Evaluate Cohort Posting Patterns Using Metrics and Tests
Company: TikTok
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Technical Screen
##### Scenario
After computing cohort-level posting metrics, stakeholders need to know if creator behavior differs across cohorts.
##### Question
How would you evaluate whether posting patterns are the same or different among cohorts? Which metrics, visualizations, and statistical tests would you use, and what thresholds or criteria would drive your conclusion?
##### Hints
Think retention curves, average posts per user, KS-test/ANOVA, confidence intervals, visual overlays.
Quick Answer: This question evaluates a data scientist's skills in cohort analysis, time-dependent behavioral metrics, and rigorous statistical comparison under challenges such as right-censoring and heavy-tailed posting distributions.