Metric Hierarchies & Leading/Lagging Indicators Questions
Learn the difference between lagging indicators (revenue, retention cohorts) and leading indicators (signups, feature adoption, content views). Understand that leading indicators enable faster feedback loops. Practice building metric cascades: how does North Star break down into team-level metrics? How do leading metrics predict lagging outcomes?
EasyTechnical
0 practiced
You're responsible for instrumenting events to support leading indicators like feature_adopted and first_7_day_engagement. List recommended event names, event properties, user identifiers, and minimum retention requirements. Explain the rationale for each choice.
HardTechnical
0 practiced
Two candidate leading metrics A and B both correlate with revenue but are negatively correlated with each other. Propose methods to combine them into a composite leading signal (weighted sum, PCA, ensemble model), discuss trade-offs between predictive performance and explainability, and describe how you would validate the composite's predictive value.
HardTechnical
0 practiced
You observe that users who adopt feature X have higher 90-day retention. Design an observational study to assess whether feature X causes retention: list assumptions, covariates to collect, matching or propensity score approaches, potential unobserved confounders, sensitivity analyses, and when an RCT is preferable.
HardTechnical
0 practiced
Create an organizational policy to assign metric ownership, define the approval workflow for metric definition changes, and a conflict-resolution process for metric disagreements across teams. Specify roles, responsibilities, change request steps, SLAs for reviews, and tooling to enforce and audit the policy.
MediumTechnical
0 practiced
You're running an A/B test to improve onboarding where the primary metric is 30-day retention. Waiting 30 days is slow. How would you pick an early leading signal to evaluate the experiment at interim checkpoints while controlling Type I error? Include statistical and practical trade-offs.
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