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Phaidra Interview Questions

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

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1
CodingStart here. 11 questions · ~94 min
List Containment ProgramMedium
Practice

Filter nested collections to retain only items containing every required object, using set membership efficiently.

deduplicationArraysArray ManipulationPhaidra
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2
Metrics3 questions · ~26 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisPhaidra
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3
Product Sense4 questions · ~34 min
Turn Analysis Into ActionMedium

Explain how to connect customer analysis to clear business actions, product decisions, and measurable outcomes.

Feature PrioritizationUser NeedsValue PropositionPhaidra
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4
System Design12 questions · ~102 min
Consistency vs AvailabilityHard

Assesses understanding of CAP trade-offs and distributed system behavior.

Trade-offsdistributed systemsconsistencyPhaidra
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5
SQL & Data Manipulation3 questions + 3 drills · ~56 min
Handle Missing ValuesMedium

Tests data cleaning choices and impact on downstream modeling quality.

Data WranglingCTEsAggregationsPhaidra
Dashboard Design for User SegmentsMedium
Practice
Practice drill

Measure dashboard adoption by Johns Hopkins user segment using joins, aggregation, and reporting-period filters.

User NeedsJoinsData WranglingThe Johns Hopkins University
Managing the 'Everything' Dashboard RequestMedium
Practice
Practice drill

Create a unified Johns Hopkins University dashboard result by combining department activity, users, and targets.

User NeedsJoinsData WranglingThe Johns Hopkins University
Daily Session Funnel Conversion RatesHard
Practice
Practice drill

Calculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.

User NeedsData WranglingAggregations
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6
Machine Learning3 questions · ~26 min
Time-Series Anomaly DetectionMedium

Tests practical ML coding ability for anomaly detection on temporal data.

Cross-ValidationFeature EngineeringSupervised LearningPhaidra
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7
More topics14 questions · ~119 min
Optimize Multi-Terabyte ETL PipelineMedium

Explain how you improved a slow ETL pipeline on multi-terabyte data, including bottleneck analysis, tuning choices, and validation.

ETL optimizationdata processingperformancePhaidra
A/B Test for Alerting StrategyHard

Tests experimental design and statistical analysis for operational product changes.

MDEGuardrail MetricsA/B TestingPhaidra
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.