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
For acquisition channels (paid search, organic, referrals), list six leading indicators a growth team should track. For each metric specify the expected early-signal timing (hours/days/weeks) and one tracking instrument or tag to capture it.
MediumTechnical
0 practiced
Draft a metric-dictionary entry for 'activated_user' for a freemium SaaS product. Include: human-readable definition, SQL pseudocode to compute it, owner, update frequency, dependent dashboards, potential edge cases (imported users, bots), and an example query snippet.
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.
MediumTechnical
0 practiced
Outline a step-by-step plan, including Python/pandas pseudocode, to build a simple OLS regression that predicts weekly revenue from leading metrics (weekly signups, 7-day active users, feature_adoption_rate). Discuss train/test split, time-series cross-validation, feature engineering (lags/rolling), and evaluation metrics.
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.
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