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Protagonist Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~53 min
2
Machine Learning4 questions · ~33 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffProtagonist
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3
Execution7 questions · ~59 min
Resolve Conflicting Stakeholder PrioritiesMedium

Explain how you align stakeholders with competing priorities, make trade-offs explicit, and keep execution on track.

Trade-offsRisk AssessmentScope ManagementProtagonist
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4
Metrics7 questions · ~59 min
Using Metrics to Drive DecisionsEasy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading IndicatorsProtagonist
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5
A/B Testing & Experimentation6 questions · ~50 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchProtagonist
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6
Product Sense6 questions · ~50 min
Assess Feedback for Product ImprovementsEasy

Framework for evaluating customer feedback and turning it into prioritized product improvements.

User ResearchUser NeedsPain PointsProtagonist
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7
More topics16 questions · ~134 min
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallProtagonist
Production Pipeline Quality MonitoringMedium

Approach for adding data quality checks, observability, and production monitoring to a data pipeline.

Data QualitymonitoringobservabilityProtagonist
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.