Improve and debug the shopping app
Company: Whatnot
Role: Machine Learning Engineer
Category: System Design
Difficulty: medium
Interview Round: Technical Screen
You are evaluating a live-shopping mobile app from a product-minded engineering perspective.
Answer the following as one integrated exercise:
1. What do you think of the app experience, and what improvements would you suggest?
2. How would you identify product categories that are underperforming?
3. Suppose the team believes there is a bug affecting category performance or user experience. How would you debug it?
Your answer should explain how you would combine direct hands-on use of the app, product intuition, metrics, dashboards, logs, funnels, segmentation, and hypothesis-driven investigation.
Quick Answer: This question evaluates product-minded engineering competencies including product intuition, user-experience assessment, telemetry-driven diagnostics, funnel and segmentation analysis, and debugging/observability skills relevant to a machine learning engineer.