Business Problem Solving and Recommendations Questions
Frameworks and skills for taking ambiguous business questions through analysis to clear, actionable recommendations. Includes decomposing complex problems into analyzable components, identifying key drivers, selecting focused analyses, synthesizing data backed findings, and articulating specific next steps and implementation considerations. Emphasizes communicating recommendations in business terms, estimating potential impact when possible, acknowledging trade offs and limitations, prioritizing among multiple actions, and tailoring communication to different stakeholders. Covers translating research or analytic results into feasible product or operational changes and defending choices with evidence.
MediumTechnical
58 practiced
List concrete steps and tooling choices you would use to ensure analytic recommendations are reproducible and auditable in a corporate environment (data lineage, version control, notebook practices, automated tests, model cards, deployment tracking). Explain trade-offs between speed and governance and give a minimal viable reproducibility checklist for a rapid pilot versus an enterprise deployment.
MediumSystem Design
55 practiced
You receive raw event logs at ~200M events/day with: user_id, event_name, timestamp, and payload JSON. Design an ETL/analytics pipeline to compute DAU/MAU, cohort analyses, and support ad-hoc SQL queries. Include storage choices (data lake vs OLAP), partitioning and clustering strategy, batch vs streaming trade-offs, pre-aggregation strategy, retention policy, and high-level cost vs performance considerations.
MediumTechnical
58 practiced
You have multiple stakeholders with conflicting priorities for analytics work. Describe a structured, data-driven workshop you would run to produce a ranked list of initiatives with clear metrics (value, cost, risk). Include required pre-work, scoring rubric, roles during the workshop, decision rules (e.g., consensus vs weighted vote), and post-work governance to ensure execution.
EasyTechnical
60 practiced
You see a sudden drop in conversion rate on the website but only have aggregate metrics and no raw events immediately available. Outline the top 5 prioritized next steps you would take (quick wins first) to triage the issue and produce initial recommendations to stakeholders. Explain why you ordered these steps.
MediumTechnical
63 practiced
A production churn model's AUC dropped from 0.78 to 0.66 over two months. Outline a systematic debugging plan to find the root cause: list the specific data, model, and business checks you would run (e.g., feature distributions, label delay, upstream pipeline changes), scripts/queries to run, how you'd prioritize potential causes, and your communication plan to stakeholders.
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