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

0 practiced

You propose three tactical actions to increase conversion: A (small UI tweak), B (email campaign), C (discount). Provide a prioritized recommendation and defend it with a data-driven approach that quantifies expected lift, cost, speed to implement, and risk. Explain how to track which action drove observed changes after rollout.

HardTechnical

0 practiced

A new competitor launched a similar product at a lower price. As a data analyst on the strategy team, outline how you would quantify potential market share impact over 6 months. Include required data, analytical approaches (e.g., cohort shifts, elasticity estimates), assumptions for a top-down market-sizing, and how to present uncertainty.

HardTechnical

0 practiced

A stakeholder claims that increasing free-trial length will increase paid conversion by 20%. Design an experiment and an observational fallback plan to test this claim, including metrics, sample allocation, guardrails, and how you'd estimate long-term effects beyond the test window.

HardTechnical

0 practiced

A cross-functional leadership asks you to recommend one of three operational changes but wants a ranked list with estimated impact, implementation effort, and risk. Describe an analytic framework you would use to score and prioritize these actions quantitatively, including how to normalize different scales and incorporate uncertainty in scoring.

EasyTechnical

0 practiced

A product team plans to launch a 'saved items' feature to increase engagement. As a data analyst, list 6 KPIs (primary and leading indicators) you would define to measure success, explain how you'd instrument them in analytics events or backend logs, and recommend a minimum observation period and rollout scope for initial measurement.

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