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Updated weekly · Last refresh Aug 30

Gappify Product Growth Analyst Interview Questions

The questions to prepare for a Gappify Product Growth Analyst interview. Questions from real interview reports rank first. Updated weekly.

16questions
~2htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~28 min
Handle Peeking in Customer ExperimentsHard

Decide how to analyze an experiment when results are checked repeatedly and multiple comparisons may inflate false positives.

PeekingExperimentationStatistical SignificanceGappify
Choosing Randomization Unit for UI TestMedium

Choose the right randomization unit for a customer-facing experiment and explain how that choice affects metrics, power, and validity.

ExperimentationGuardrail MetricsA/B TestingGappify
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2
Behavioral & Leadership7 questions · ~65 min
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3
More topics6 questions · ~56 min
Compare Signup Cohorts by RetentionHard
Practice

Use CTEs, joins, and date logic to compare 30-day activity rates across monthly signup cohorts.

Window FunctionsDate FunctionsCTEsGappify
Diagnose Activation Conversion DropHard

Investigate why signup to activation conversion fell from 41% to 29% after onboarding and acquisition changes.

Funnel AnalysisConversion RateDiagnosisGappify
Seasonality vs Product Issue DetectionHard

Use time-series decomposition and intervention analysis to tell normal seasonal movement from a true product problem.

RegressionCorrelationTime SeriesGappify
Roadmap With Competing PrioritiesHard

Build and execute an engineering roadmap when product, reliability, and platform priorities compete for the same team capacity.

RoadmappingScope ManagementPrioritizationGappify
Investigate User Engagement DeclineMedium

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

RetentionDiagnosisEngagement MetricsGappify
Testing Engagement Change for NoiseMedium

Decide whether a change in user engagement is statistically real using hypothesis testing and confidence intervals.

Confidence IntervalsHypothesis TestingStatistical SignificanceGappify

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Compare User Retention by CohortHard
Practice
Practice drill

Use CTEs, joins, and month-based aggregation to calculate cohort retention over time from signup and activity data.

Window FunctionsDate FunctionsCTEsWorkdayAmazon Development Center U.S.The Sparks Foundation
Detect Post-Launch Customer Behavior ShiftsMedium
Practice
Practice drill

Use CTEs, joins, and conditional aggregation to compare customer orders before and after a product launch.

Window FunctionsDate FunctionsCTEsQuoraMotiveIntuit
The finish line: interview-readyComplete all 16 questions plus 2 hands-on drills to finish this plan.