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McKinsey & Interview Questions

The questions to prepare for McKinsey & interviews, across all roles. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 5 questions · ~56 min
2
Coding5 questions · ~56 min
Maximum Sum Contiguous SubarrayEasy
Practice

Use Kadane's algorithm to find the contiguous subarray with the largest sum in linear time.

Dynamic ProgrammingArraysGreedyMcKinsey &
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3
Strategy4 questions · ~45 min
Operational Cost Reduction FrameworkMedium

Frameworks to identify manufacturing cost savings while protecting quality and operational performance.

Strategic PlanningCost-Benefit AnalysisBusiness AcumenMcKinsey &
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4
Pipelines4 questions · ~45 min
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityMcKinsey &
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5
Execution4 questions · ~45 min
Manage Technical Debt DeliberatelyMedium

Explain how you would prioritize and execute technical debt work without losing stakeholder alignment or delivery momentum.

Trade-offsRisk AssessmentScope ManagementMcKinsey &
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6
Metrics4 questions · ~45 min
Analyze a Successful CampaignEasy

Describe how you would evaluate a successful marketing campaign using funnel KPIs, conversion, and ROI.

KPIsDiagnosisEngagement MetricsMcKinsey &
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7
More topics24 questions · ~269 min
Handling Imbalanced Fraud LabelsMedium

Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.

Cross-ValidationFeature EngineeringSupervised LearningMcKinsey &
Correlation Versus Causation ExplanationMedium

Explain why correlation measures association, while causation requires evidence that changing one variable changes the other.

CorrelationCausal InferenceCommunicationMcKinsey &
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