Improve and debug the shopping app
WhatnotMachine Learning Engineer · Technical Screen
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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.
You are evaluating a live-shopping mobile app from a product-minded engineering perspective.
Answer the following as one integrated exercise:
- What do you think of the app experience, and what improvements would you suggest?
- How would you identify product categories that are underperforming?
- 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.
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