Design an A/B Test for Dashboard Engagement Impact
AmazonData Scientist · OnsiteLast updated
Amazon data scientist experimentation prompt on designing an A/B test for an energy-usage dashboard redesign, including hypotheses, metrics, guardrails, power, test duration, seasonality, and analysis methods.
Scenario
Product team is launching a redesigned energy-usage dashboard and needs to measure its impact.
Question
How would you design an A/B test to determine whether the new dashboard increases user engagement? Which metrics and statistical methods would you use, and how would you decide the test duration?
Hints
State hypothesis, randomize, compute sample size, discuss p-values, guardrail metrics.
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