Improve and debug the shopping app

You are evaluating a live-shopping mobile app from a product-minded engineering viewpoint. Respond to the following as one connected exercise:

1. How would you assess the app experience, and what improvements would you propose?
2. How would you identify product categories that are underperforming?
3. Suppose the team suspects a bug is hurting 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. Overview: This question tests product-minded engineering skills including product intuition, user-experience assessment, telemetry-driven diagnostics, funnel and segmentation analysis, and debugging/observability abilities relevant to a machine learning engineer. Read the full machine learning engineer interview experience this question came from