Analyze Impact of Customer Reviews on Sales Performance
Overview
This question evaluates a data scientist's competency in causal inference, experimental design, time-series and panel analysis, metric definition, and confounder control for quantifying the impact of product review metrics on sales, and belongs to the Analytics & Experimentation domain.
Google
Jul 12, 2025, 6:59 PM
Data Scientist
Technical Screen
Analytics & Experimentation
17
0
Measuring the Impact of Product Reviews on Sales
Context
You are asked to propose how to quantify and causally estimate the impact of product review metrics (e.g., average rating, review volume) on sales performance. Assume you have access to product-level daily/weekly sales, traffic, pricing/promotions, inventory, and review data over time.
Task
Outline a concrete analysis plan and/or experiment that:
- Defines metrics and data required.
- Estimates associations while discussing correlation vs. causation and time-lag effects.
- Proposes a causal identification strategy using observational methods (e.g., panel regression, natural experiments) and/or A/B testing.
- Specifies how to control for confounders and validate results.
Solution
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