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Defining and Using Success Metrics Questions

Learn to propose metrics that directly tie to business or product goals. Understand primary metrics (direct measure of success, like feature adoption rate or API call volume) versus secondary metrics (supporting indicators like latency, error rates, or user satisfaction). Practice proposing 2-3 realistic metrics for different scenarios. At entry-level, you don't need statistical sophistication, but you should understand how to measure whether something worked and why certain metrics matter.

MediumTechnical
0 practiced
Given 12 months of historical active-user and MRR data, describe a method to set realistic metric targets for the next quarter. Explain how to account for seasonality, recent trend changes, desired growth targets, and confidence intervals when proposing targets.
HardTechnical
0 practiced
You're testing a paid trial for a premium feature. Define the metrics to determine monetization potential: trial-to-paid conversion rate, ARPU uplift, retention of payers, and explain how you would compute a Minimum Detectable Effect (MDE) for conversion given baseline conversion and available traffic. List the data you need to compute MDE.
MediumTechnical
0 practiced
For a freemium SaaS product, propose a set of metrics to measure churn and early warning signals. Define monthly churn rate, monthly revenue churn, and suggest a leading indicator that could predict churn three months in advance, including how you'd compute it.
MediumTechnical
0 practiced
You're prioritizing three competing features for the roadmap. Propose a metric-driven scoring rubric: list four metrics to include (impact, confidence, effort, risk), describe how to quantify each, propose weights, and explain how you'd validate the resulting priority ordering with stakeholders.
HardTechnical
0 practiced
10% of user events are missing for a week because of an SDK bug. Propose a strategy to (a) estimate the true value of affected metrics for that week, (b) communicate uncertainty to stakeholders, and (c) prevent similar incidents in the future. Discuss trade-offs between imputation, exclusion, and re-collection.

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