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

0 practiced

An executive requests a one-page weekly revenue dashboard. Describe the layout, top 8 visuals or metrics you'd include (e.g., YoY, WoW, cohort view), what filters or drill-downs you would provide, and two design choices to ensure the dashboard is actionable for senior leadership.

HardTechnical

0 practiced

Describe how you would use difference-in-differences or synthetic control methods to evaluate a product feature launched only in City X when national advertising also ramped up. Explain assumptions, data needs, limitations, and what robustness checks you would run.

HardTechnical

0 practiced

You built a predictive churn model that flags accounts for outreach. After three months, flagged accounts show no uplift from outreach. Design a diagnostic plan to find why the intervention failed, including data comparisons, A/B re-test ideas, and how you'd change model features or treatment design.

HardTechnical

0 practiced

Explain how you would detect and mitigate selection bias when analyzing the effect of a loyalty program introduced for self-selected members. Suggest analytic alternatives (propensity score matching, regression adjustment, instrumental variables, or synthetic controls) and practical considerations for each.

EasyBehavioral

0 practiced

Tell me about a time you translated ambiguous analytic results into a clear recommendation for a business stakeholder. Briefly describe the situation, the analysis you ran, the recommendation you made, and how you handled uncertainty when presenting the outcome.

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