Data Interpretation & Dashboard Literacy Questions
Practice interpreting data visualizations, trend lines, and metric dashboards. Develop ability to identify what's noteworthy (seasonality, anomalies, correlations) vs. normal variation. Think about causation vs. correlation. Practice explaining what a metric trend means in business terms and what actions it might suggest.
MediumTechnical
0 practiced
You have a dashboard showing month-over-month revenue growth. The plot shows one month with an unusually high value. Describe statistical and business checks to decide whether to smooth the chart, annotate it, or remove the point before presenting to leadership.
HardTechnical
0 practiced
Given event data with fields: user_id, event_name, occurred_at, device_type, country, and revenue_amount, describe a prioritized plan to instrument and build a dashboard that answers: "Which user cohorts drive 80% of revenue and why?" Include analyses, visualizations, and potential pitfalls.
MediumTechnical
0 practiced
You observe two metrics trending together: weekly referral clicks and new user signups. Propose an approach to evaluate whether referral clicks are causally driving signups. Include at least two empirical methods and practical constraints a PM would face running them.
MediumTechnical
0 practiced
Design a small set of core metrics (3–5) to put on a weekly executive dashboard for a two-sided marketplace (buyers and sellers). For each metric, provide a one-sentence rationale and mention whether it is leading or lagging.
HardTechnical
0 practiced
A product metric shows a large variance across regions. How would you determine whether to localize the product experience, apply different growth strategies, or normalize metrics for comparability? Propose an analysis plan and decision criteria.
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