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Updated weekly · Last refresh Oct 17

ESPN Consultant Interview Questions

The questions to prepare for a ESPN Consultant interview. Questions from real interview reports rank first. Updated daily.

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~3htotal time
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1
MetricsStart here. 3 questions · ~24 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsESPN
Essential Digital Engagement MetricsEasy

Tests ability to select and interpret engagement metrics tied to ESPN digital performance.

KPIsLeading IndicatorsEngagement MetricsESPN
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2
Behavioral & Leadership13 questions · ~104 min
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3
More topics6 questions · ~48 min
Market Analysis for New Sports ProductMedium

Tests structured market research, segmentation, and decision-making for ESPN product opportunities.

EstimationCompetitive AnalysisMarket SizingESPN
Launching a New ESPN AppMedium

Tests end-to-end execution planning from discovery to launch and iteration for ESPN.

Launch PlanningSuccess CriteriaRisk AssessmentESPN
Designing a Marketing Campaign StudyHard

Tests experimental design, statistics reasoning, and rigor for measuring marketing impact at ESPN.

ExperimentationCausal InferenceA/B TestingESPN
Ensuring Data IntegrityMedium

Tests controls for correctness, referential integrity, and reliable transformations at scale.

Data Qualitylarge datasetsdata integrityESPN
Impact of Broadcasting Deal on SubscribersMedium

Tests causal reasoning and modeling inputs for subscriber growth decisions at ESPN.

EstimationCompetitive AnalysisGrowth StrategyESPN
Handling Positive and Negative FeedbackEasy

Tests your receptiveness, professionalism, and ability to iterate based on stakeholder input.

Trade-offsSuccess CriteriaRisk AssessmentESPN

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Month-Over-Month RetentionMedium
Practice
Practice drill

Calculate monthly active-user retention for Unity Ads using CTEs, joins, date truncation, and conditional aggregation.

Window FunctionsRetentiontransactionsInsurifyUnityDoorDash
Top Users by EngagementMedium
Practice
Practice drill

Rank Dayforce users by quarterly engagement and return the top 10% using aggregation and NTILE().

sql queryEngagement MetricsDayforceLatticeCondé Nast
Handle Nulls in Large JoinsMedium
Practice
Practice drill

Write a PostgreSQL join that preserves all orders and clearly classifies NULL and unmatched customer keys.

null handlinglarge datasetsJoinsPatternSwiggyQuantiphi
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