Investigate Anomalies in Coinbase Wallet Engagement Metrics
Company: Coinbase
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Technical Screen
##### Scenario
Coinbase Wallet engagement or metric anomaly investigation.
##### Question
When examining the wallet anomaly, under what hypotheses would you frame your analysis? What data signals would confirm or refute each hypothesis?
##### Hints
Define clear falsifiable hypotheses (e.g., tracking issue, product change, market movement) and required data slices.
Quick Answer: This question evaluates a data scientist's ability to investigate product wallet metric anomalies by forming falsifiable hypotheses and specifying the exact analytics, feature-flag, backend, acquisition, and on-chain signals that would confirm or refute each hypothesis.