How would you analyze retail volume drop?
Company: Citi
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Technical Screen
Business case (Product/Risk Analytics):
Recently BTC volatility is very high, but **retail user trading volume has decreased** on Coinbase.
Explain how you would investigate this with data and turn the analysis into an actionable decision. Your answer should include:
1. How you would **validate** the symptom (definitions, data quality).
2. A structured set of **hypotheses** across market, user, product, and risk/compliance factors.
3. The key **segmentations** and **funnels** you would analyze (new vs existing, geo, asset, platform, acquisition channel).
4. What analyses you would run to distinguish **demand drop** vs **product friction** vs **risk controls** vs **measurement artifacts**.
5. What concrete actions you might recommend depending on the findings.
Quick Answer: Evaluates skills in data quality validation, causal hypothesis generation, segmentation and funnel analysis, attribution and experimentation within product, market, user, and risk domains; category/domain: Analytics & Experimentation for a Data Scientist role, abstraction level: high-level diagnostic and strategic analysis.