Metric Frameworks and Goal Alignment Questions

Understand how to choose, define, and apply metric frameworks that align product work to company objectives. Topics include common frameworks such as Acquisition, Activation, Retention, Revenue, Referral as well as selecting a single North Star metric that represents overall business success. Candidates should be able to define metrics at multiple levels including feature level, product level, and business level; distinguish leading indicators from lagging indicators and explain how leading metrics predict lagging outcomes; decompose a North Star into measurable submetrics and team level signals that teams can influence directly; set measurable targets and success criteria; and explain why a given metric is the most appropriate North Star for a particular business model. Practice scenarios include choosing metrics for feature launches, improving conversion or retention, reducing friction in checkout flows, and increasing engagement or virality, and describing how those metrics map to business outcomes and Objectives and Key Results.

EasyTechnical

30 practiced

Scenario (easy): Describe three common 'vanity metrics' that can mislead stakeholders. For each, explain why it's misleading and suggest a more meaningful alternative metric that better aligns with business objectives.

EasyTechnical

29 practiced

Briefly describe what cohort analysis is and why it is useful for measuring retention. Given a table of user events, what basic SQL approach would you take to compute a 30-day retention cohort (users who returned on day 30 after signup)? You do not need to write full SQL, but outline the steps and key functions you would use.

HardTechnical

35 practiced

Correlation vs causation investigation (hard): A new onboarding flow coincided with improved engagement but later a drop in retention. As analyst, outline step-by-step analyses you would run to determine whether the onboarding change caused the retention drop or if other factors are responsible.

EasyTechnical

26 practiced

Explain what a 'guardrail' metric is and provide three examples of guardrails you would track for an engagement optimization experiment that aims to increase daily active users (DAU). For each guardrail, define exactly how it would be calculated.

MediumTechnical

35 practiced

Design a dashboard in Tableau or Power BI that reflects a product metric framework for growth (Acquisition → Activation → Retention → Revenue). List the key visualizations, filters, and update cadence. Explain how you would make the dashboard actionable for PMs and executives, and what data sources you would join.

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