Data Analysis and Hypothesis Testing Questions

Covers the end to end use of quantitative and qualitative data to find issues, generate insights, form hypotheses, run tests, and measure impact in support operations. Candidates should describe how they instrumented data sources, performed exploratory analysis and segmentation, translated qualitative signals from conversations into testable hypotheses, designed controlled experiments or pilot programs, and interpreted results to drive product, process, or tooling changes. Include discussion of dashboards and reporting, key support metrics, common statistical considerations, and concrete examples where analysis led to measurable outcomes.