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.
HardTechnical
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Describe the structure of a five-year financial model to forecast cash flows for a new product. Include revenue drivers, customer growth assumptions, churn, gross margin, operating expenses, capex and working capital. Given sample cash flows: Year0 = -2,000,000; Year1 = 500,000; Year2 = 800,000; Year3 = 1,200,000; Year4 = 1,600,000; Year5 = 2,000,000 and a discount rate of 10%, calculate the NPV. Show calculation steps and discuss qualitatively how a 2 percentage-point increase in annual churn would affect NPV.
HardTechnical
0 practiced
Design a KPI taxonomy and data dictionary for an e-commerce company ensuring metrics are MECE, have unambiguous definitions, a calculation SQL, an owner, data source, refresh frequency and known limitations. Provide example entries for six KPIs including one derived metric and one raw metric, and explain how you would publish and govern this dictionary.
HardTechnical
0 practiced
You need to estimate conversion-lift for a small user segment with sparse data. Compare a frequentist approach versus a Bayesian approach for this use case, explain how you would set informative priors from historical data, and outline steps to implement a Beta-Binomial Bayesian estimator. Discuss how you would present posterior distributions and decision thresholds to non-technical stakeholders.
MediumTechnical
0 practiced
Construct a MECE issue tree to evaluate a proposed 15% subscription price increase for a SaaS product. Cover revenue impacts, customer segmentation, competitor responses, legal/contract implications and operational implementation. Then describe three data analyses (including data sources and methods) you would run to estimate price elasticity and expected revenue impact.
HardTechnical
0 practiced
Your product org has 60 proposed experiments but capacity for 6. Create a quantitative prioritization framework that scores each idea on expected impact, confidence, cost/time to implement and strategic alignment. Define scoring formulas, normalization approach, weights and demonstrate ranking on six sample ideas with hypothetical inputs.
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