Analyze Negative Reviews' Impact on Coupon Repurchase Rate

Q: Analyze Negative Reviews' Impact on Coupon Repurchase Rate

Evaluates causal analysis of negative reviews on coupon repurchase behavior using exposure-aware data. Strong answers define treatment and outcome, collect exposure data, control confounding, and validate estimates with robustness checks.

Q: How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Q: What difficulty level is this interview question?

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

Q: What role is this question designed for?

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

Question

Measuring Negative Reviews' Impact on Coupon Repurchase

Management wants to understand how negative customer reviews affect the probability that a user repurchases the same coupon.

Design an analysis to quantify the causal impact of negative reviews on repurchase behavior.

Constraints & Assumptions

Distinguish negative reviews written by the focal user from negative reviews visible to that user before the repurchase decision.
Define the treatment, outcome, unit, and time windows before modeling.
Address confounding from coupon quality, merchant quality, price, promotion, seasonality, and user preferences.
Avoid reverse causality and post-treatment leakage.

Clarifying Questions to Ask Guidance

What counts as a negative review: rating threshold, text sentiment, complaint category, or volume shift?
Did users actually see reviews before deciding whether to repurchase?
What is the coupon lifecycle and expected repurchase window?
Are we estimating the effect of review exposure, review availability, or overall coupon reputation?

Part 1 - Define the Estimand

Specify outcome, treatment, unit of analysis, and time windows.

What This Part Should Cover Guidance

Use a user-coupon or user-merchant decision unit.
Define repurchase within a fixed window after eligibility or first purchase.
Define treatment as exposure to negative reviews before the decision, or an intent-to-treat proxy based on review availability.
Specify pre-period covariates and exclude information observed after treatment.

Part 2 - Data Requirements

List the data needed to measure review exposure and repurchase.

What This Part Should Cover Guidance

Include review ratings, text sentiment, timestamps, review visibility, page impressions, and ranking position.
Include transaction history, coupon attributes, merchant attributes, prices, discounts, inventory, and campaign calendar.
Include user history, acquisition channel, location, device, and prior engagement.
Include whether a user had an opportunity to see the review content.

Part 3 - Causal Inference Approach

Propose modeling or causal methods to isolate the review effect.

What This Part Should Cover Guidance

Use matching, fixed effects, difference-in-differences, propensity scores, or doubly robust methods where appropriate.
Include coupon, merchant, user, and time fixed effects when data supports them.
Check covariate balance, overlap, parallel trends, and sensitivity to unobserved confounding.
Consider natural experiments such as review moderation timing or delayed review display if available.

Part 4 - Interpretation and Validation

Explain how you would validate and communicate the results.

What This Part Should Cover Guidance

Report effect size, confidence intervals, and business impact on repurchase.
Segment by review severity, user type, merchant quality, and coupon category.
Run placebo tests, pre-trend checks, negative controls, and robustness checks.
Explain limitations if exposure is inferred rather than directly observed.

Follow-up Questions Guidance

How would you design an experiment to test review-display changes ethically?
What if negative reviews reduce repurchase but improve long-term trust?
How would you handle users who read reviews on another device or platform?

Analyze Negative Reviews' Impact on Coupon Repurchase Rate

Quick Overview

Analyze Negative Reviews' Impact on Coupon Repurchase Rate

Measuring Negative Reviews' Impact on Coupon Repurchase

Constraints & Assumptions

Clarifying Questions to Ask Guidance

Part 1 - Define the Estimand

What This Part Should Cover Guidance

Part 2 - Data Requirements

What This Part Should Cover Guidance

Part 3 - Causal Inference Approach

What This Part Should Cover Guidance

Part 4 - Interpretation and Validation

What This Part Should Cover Guidance

Follow-up Questions Guidance

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