Case and Business Frameworks Questions

Techniques for structuring analytical and persuasive responses to business problems in interviews and real world settings. Covers the end to end approach: clarifying the situation and objectives, scoping and prioritizing issues, forming a hypothesis, and building a logical, mutually exclusive and collectively exhaustive breakdown or issue tree. Includes common case interview frameworks such as profitability analysis, market entry, pricing, growth and operations, as well as business case components like problem statement, proposed solutions, cost benefit analysis, financial metrics such as return on investment and payback period, implementation plan, risk identification and mitigation, stakeholder impact, and success metrics. Emphasizes quantitative estimation and back of the envelope calculations, qualitative considerations such as competitive positioning and customer impact, synthesis into a clear recommendation, and communication techniques for telling a compelling business story under time pressure.

MediumTechnical

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After a major UI update, analytics shows a churn spike among users acquired within the previous six months. As the data analyst, outline a hypothesis-driven analysis plan: list at least six plausible hypotheses, the dataset(s) required for each, specific SQL queries or analysis methods to test them, and the criteria you would use to recommend rollback versus iterating with patches.

EasyTechnical

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Explain a simple framework to prioritize analytical tasks under time constraints such as ICE (Impact, Confidence, Ease). Use three candidate tasks—compute cohort retention, run a pricing elasticity analysis, and create an A/B test dashboard—and assign hypothetical ICE scores with brief rationale for each.

HardTechnical

0 practiced

Company gross margin fell by 10 percentage points last quarter. Build a MECE analytical plan to diagnose the cause: list prioritized hypotheses (product mix, commodity input price rises, increased discounts, returns, data/classification errors), specify the SQL aggregations or joins you would run and the dimensions to slice by (product, channel, cohort, geography), and describe how you would present initial findings to executives within 48 hours.

HardTechnical

0 practiced

You are leading analysis for a five-year market-entry plan for a consumer lending product with a $5M marketing constraint in year 1 and uncertain regulatory approval. Leadership expects 30% gross margin by year 3. Outline an analytical roadmap to estimate 5-year revenue and profitability: list models to build, key assumptions per model, primary data sources, validation steps and sensitivity scenarios. Provide an initial topline projection example for year 1 using conservative assumptions: addressable users 4,000,000, penetration 0.5%, average revenue per user $60 — show year 1 revenue calculation.

EasyTechnical

0 practiced

Compare hypothesis-driven analysis with exploratory analysis in the context of the data analyst role. For each approach, describe one scenario where it is preferable, one concrete deliverable you would produce, and one limitation. Include a short example where hypothesis-driven analysis leads to a faster business decision and one where exploratory analysis uncovers unexpected opportunities.

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