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.

EasyBehavioral

0 practiced

Tell me about a time you defined success metrics and guardrails for a cross-functional product launch. Use the STAR structure: describe the situation, your task, actions you took to align stakeholders and instrument metrics, and the measurable result. Emphasize how you handled trade-offs and disagreements.

MediumTechnical

0 practiced

A new fraud detection model reduces fraud rate by 30% but increases false positives 4x, negatively impacting legitimate customer conversions. Propose a guardrail bundle (metrics and thresholds), propose business-level thresholds, and design an A/B test protocol to balance fraud reduction against customer experience.

MediumTechnical

0 practiced

You're evaluating a credit-risk scoring model. The team currently uses ROC-AUC as a primary metric, but product owners care about reducing realized default rate and expected loss. Describe appropriate primary metrics and guardrails (e.g., calibration, expected loss, PD buckets), how to reconcile those goals, and what evaluation changes you'd propose.

MediumTechnical

0 practiced

You have these tables:

sql

experiments(user_id, variant, assigned_at)
sessions(user_id, session_id, started_at)
payments(payment_id, user_id, status, amount, occurred_at)

Write SQL to compute payment_failure_rate (failed payments / total payment attempts) per variant for users with at least one session in the last 30 days. Include counts and a 95% Wilson score CI for proportion. Return variant, failures, attempts, rate, ci_lower, ci_upper.

HardTechnical

0 practiced

Describe a time you changed an organization's accepted metric (for example switching from gross bookings to net revenue) because the old metric led to misaligned incentives. Explain how you built consensus, migrated dashboards and reports, handled legacy consumers, and measured the impact of the change on behavior.

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