314,552 interview questions from 6,000+ companies.
Tests communication of complex analytics to nontechnical stakeholders, with emphasis on influence, clarity, and driving action from insights.
Tests communication of complex technical ideas to non-technical partners, including clarity, stakeholder alignment, and influence on decisions.
Tests prioritization under pressure across multiple projects, including time management, stakeholder communication, and ownership of trade-offs.
Tests conflict resolution and influence without authority when a stakeholder or financial advisor disagrees with your recommendation.
Design a marketing campaign experiment with a pre-registered metric plan, power calculation, and ship rule that respects guardrails.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Define a success metric for a new feature that captures real user value, not just raw usage.
Tests data-driven decision making, ownership, and change leadership when project metrics indicate the original plan should change.
Explain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.
Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
Explain why an observed marketing relationship can be correlated without being causal, and how you would validate a true causal effect.
Explain how you evaluate models using the right metrics, validation strategy, and error analysis for the problem.
Framework for keeping marketing analysis tied to client goals, decision needs, and measurable business outcomes.
Tests SQL proficiency with window functions and correct partitioning and ordering.
Tests influence without authority: using data to respectfully persuade a manager to change a decision and own the outcome.
Describe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.
Design lag, rolling, and calendar features for a forecasting problem with temporal dependence.
Design an end-to-end A/B test for a pricing page, including MDE, guardrails, analysis plan, and a ship decision.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
23 total questions
