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Analyze Negative Reviews' Impact on Coupon Repurchase Rate

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competency in causal inference, experimental design, and observational analytics, including the ability to define treatment and outcome, choose appropriate units and time windows, specify necessary exposure data, and address confounding.

  • medium
  • TikTok
  • Analytics & Experimentation
  • Data Scientist

Analyze Negative Reviews' Impact on Coupon Repurchase Rate

Company: TikTok

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

##### Scenario Management wants to measure how negative customer reviews affect the coupon repurchase rate. ##### Question Design an analysis to quantify the impact of negative reviews on the probability a user repurchases the same coupon. Which data, model, or causal inference technique would you use to isolate the review effect from confounders? ##### Hints Consider matched cohorts, fixed-effects regression, difference-in-differences, or propensity scoring to address selection bias.

Quick Answer: This question evaluates a data scientist's competency in causal inference, experimental design, and observational analytics, including the ability to define treatment and outcome, choose appropriate units and time windows, specify necessary exposure data, and address confounding.

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TikTok
Jul 12, 2025, 6:59 PM
Data Scientist
Technical Screen
Analytics & Experimentation
21
0

Scenario

Management wants to measure how negative customer reviews affect the repurchase rate of a coupon.

Task

Design an analysis to quantify the causal impact of negative reviews on the probability that a user repurchases the same coupon. Specify:

  • The outcome, treatment, unit of analysis, and time windows.
  • The data you would need (including exposure to reviews).
  • A modeling and/or causal inference approach that isolates the review effect from confounders (e.g., matched cohorts, fixed effects, difference-in-differences, propensity scoring).

Solution

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