##### 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.

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.

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What difficulty level is this interview question?

This is a medium difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at TikTok.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at TikTok during technical interviews.

Evaluate Cohort Posting Patterns Using Metrics and Tests

Assessing Whether Cohorts Have the Same or Different Posting Patterns

Context

You have multiple creator cohorts (e.g., by signup month or first-post week). For each cohort, you have posting activity over time. Your goal is to determine whether posting behavior is materially different across cohorts, accounting for time since cohort start and data issues like right-censoring and heavy-tailed distributions.

Task

Propose how you would evaluate whether posting patterns are the same or different among cohorts.

Address:

Metrics to compute (per cohort and over cohort age).
Visualizations to reveal similarities/differences.
Statistical tests/models to assess significance and effect size.
Thresholds/criteria to conclude "same" vs. "different."

Assessing Whether Cohorts Have the Same or Different Posting Patterns

Context

Task

Propose how you would evaluate whether posting patterns are the same or different among cohorts.

Address:

Metrics to compute (per cohort and over cohort age).
Visualizations to reveal similarities/differences.
Statistical tests/models to assess significance and effect size.
Thresholds/criteria to conclude "same" vs. "different."

Evaluate Cohort Posting Patterns Using Metrics and Tests

Quick Overview

Assessing Whether Cohorts Have the Same or Different Posting Patterns

Context

Task

Solution

Submit Your Answer to Earn 20XP

Evaluate Cohort Posting Patterns Using Metrics and Tests

Quick Overview

Assessing Whether Cohorts Have the Same or Different Posting Patterns

Context

Task

Solution

Submit Your Answer to Earn 20XP