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Lincoln Institute of Land Policy Interview Questions

The questions to prepare for Lincoln Institute of Land Policy interviews, across all roles. Questions from real interview reports rank first. Updated daily.

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1
A/B Testing & ExperimentationStart here. 4 questions · ~36 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchLLincoln Institute of Land Policy
Experimentation Pitfalls in PolicyMedium

Tests awareness of bias, validity threats, and failure modes in policy-focused experiments.

data integrityLLincoln Institute of Land Policy
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2
Metrics3 questions · ~27 min
Investigate Metric DropMedium

Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.

metric selectionDiagnosiskpi hierarchyLLincoln Institute of Land Policy
Investigate Metric DropMedium

Assesses structured debugging of metric changes and identification of data or logic issues.

root cause analysisLLincoln Institute of Land Policy
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3
Product Sense3 questions · ~27 min
Land-Use Policy Dashboard DesignMedium

Tests ability to define KPIs and design a dashboard for evaluating land-use policy outcomes.

user engagementdashboard designLLincoln Institute of Land Policy
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4
Behavioral & Leadership4 questions · ~36 min
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5
More topics3 questions · ~27 min
SQL Window Functions Rolling AverageMedium
Practice

Calculate three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.

Window FunctionssqlLLincoln Institute of Land Policy
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceLLincoln Institute of Land Policy
Statistical Significance for Policy MakersMedium

Evaluates communication of statistical ideas in a way that supports policy decisions.

CommunicationStatistical SignificanceLLincoln Institute of Land Policy

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