Metrics, Guardrails, and Evaluation Criteria Questions
Design appropriate success metrics for experiments. Understand primary metrics, secondary metrics, and guardrail metrics. Know how to choose metrics that align with business goals while avoiding unintended consequences.
MediumTechnical
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When running multiple concurrent experiments that might interact (e.g., UI change and recommendation algorithm), how do you design metrics and analysis to detect interactions and avoid misleading conclusions? Discuss factorial design, randomization orthogonality, interaction terms in models, and when to use cluster-randomized or paired designs.
MediumTechnical
0 practiced
Implement a Python function to compute the average treatment effect (ATE) and a 95% bootstrap confidence interval for a binary outcome. Signature: def compute_ate_with_bootstrap(treatment: np.ndarray, outcome: np.ndarray, n_bootstrap: int = 1000) -> Tuple[float, float, float]. Assume treatment is 0/1 and arrays are same length. Return (ate, ci_lower, ci_upper). Write clear, efficient code and mention assumptions about independence.
MediumTechnical
0 practiced
You observe a 10% increase in clicks but a 5% decrease in purchases after a UI change. Outline an investigative plan: which metrics to compute, how to segment users, what causal checks to run, potential confounders, and experiments or analyses you'd run next to identify root cause and decide on action.
HardTechnical
0 practiced
How would you detect and adjust for regression-to-the-mean or seasonality effects when evaluating metric changes in an experiment running over multiple weeks? Describe statistical methods (time-series decomposition, difference-in-differences, control time-series, seasonality modeling) and practical steps to make the experiment results robust.
MediumTechnical
0 practiced
Explain uplift modeling versus predictive scoring. For an uplift model, what primary metric(s) should you use (e.g., incremental conversion rate, incremental revenue) and how do guardrails differ compared to a standard predictive model? Describe an experiment design to validate an uplift model.
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