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Earnest Research Interview Questions

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

50questions
~8htotal time
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1
CodingStart here. 6 questions · ~58 min
2
SQL & Data Manipulation5 questions + 1 drill · ~58 min
3
Machine Learning3 questions · ~29 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 TradeoffEarnest Research
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4
Metrics6 questions · ~58 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 IndicatorsEarnest Research
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5
Strategy5 questions · ~48 min
Staying Current on Industry TrendsEasy

A practical approach for tracking industry trends, competitor moves, and market changes in a way that informs strategy decisions.

EstimationCompetitive AnalysisGrowth StrategyEarnest Research
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6
Execution5 questions · ~48 min
Choose Monolith or MicroservicesMedium

Evaluate the execution trade-offs between monoliths and microservices and explain how you would choose the right approach.

Trade-offsRisk AssessmentScope ManagementEarnest Research
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7
More topics20 questions · ~192 min
Assess Feedback for Product ImprovementsEasy

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

User ResearchUser NeedsPain PointsEarnest Research
Significance of A/B TestingEasy

Explain why A/B testing matters in marketing analytics and how it supports causal, metric-driven campaign decisions.

ExperimentationGuardrail MetricsA/B TestingEarnest Research
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.