Product and User Behavior Analytics Questions
Analyzing how users actually behave in a product, from event data that already exists. Covers cohort construction and cohort analysis, retention curves and how to interpret their shape, engagement, stickiness and activation metrics, behavioral segmentation used as an analytical lens, funnel and conversion interpretation, and the statistical treatment of small or noisy cohorts, including churn and uplift modeling. The scope is reading and interpreting behavioral data, not instrumenting its collection, defining the metrics themselves, diagnosing why a specific metric moved, or attributing conversions to acquisition channels.
No published Product and User Behavior Analytics questions for Machine Learning Engineer yet
This topic is part of the Machine Learning Engineer interview scope, but we have not published questions for it under this role yet. Browse the other topics in this category, or start a practice session to work through it interactively.