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.

EasyTechnical

61 practiced

You need to estimate the minimum sample size for an A/B test where baseline conversion is 5%, desired minimum detectable effect is +0.8 percentage points, alpha=0.05, and power=0.8. Describe how you would compute this and which assumptions you must validate before launching the experiment. You can express formulas or describe tools you'd use.

EasyTechnical

56 practiced

Using Excel or Sheets, explain step-by-step how you would identify the top 20% of customers contributing to 80% of revenue (Pareto). Describe which functions, pivot tables, or charts you'd use, and how you'd make this repeatable for monthly reports.

MediumTechnical

53 practiced

You find out that a reported increase in conversion is driven by a spike in one high-value customer's orders. Explain how Simpson's paradox or outlier effects can mislead business decisions, and describe a robust approach to report aggregated metrics that guard against such misleading signals.

MediumTechnical

63 practiced

A VP questions the validity of your recommendation because data collection changed mid-quarter. Describe how you would quantify the effect of the instrumentation change on reported metrics, what adjustments or disclaimers you would make to your analysis, and how you would prevent similar issues going forward.

MediumTechnical

62 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.

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