McKinsey
Interview Prep

Hypothesis-first: is the share loss driven by volume (fewer units sold) or mix (lower-value SKUs growing)? Then segment by channel (grocery vs. e-commerce), geography, and customer cohort. Investigate root causes across product (quality, innovation gap), price (value perception vs. competition), promotion (share of voice), and distribution (shelf placement, availability). Form a prioritized hypothesis and test it.

McKinsey consultants regularly lead client teams as external advisors — influence without authority is the core leadership challenge. Describe a situation where you drove significant change without a reporting relationship, what the resistance was, how you built credibility and alignment, and what changed as a result.

Structure: 1) Demand side — what is the addressable patient population, growth rate, and unmet need? 2) Supply side — what is the competitive landscape (nearby cancer centers, capacity constraints)? 3) Financial feasibility — capital cost, operating cost, revenue model, break-even timeline. 4) Strategic fit — does this align with the hospital's mission and capabilities? Drive to a go/no-go recommendation with key conditions.

Top-down: US population ~330M, average household 2.5 people = ~130M households, average household fills up once per week = ~130M fill-ups/week. Average station serves ~1,000 fill-ups/week (12 pumps × ~12 cars/hour × 7 hours = ~1,000). So ~130,000 stations. Cross-check: 50 states × ~2,600 stations/state — plausible for a large state-by-state mix. Actual answer: ~145,000.

Intellectual humility and rigor are McKinsey's highest analytical virtues. Describe what position you had taken (and why you were confident), what new evidence emerged, how you processed it (fighting confirmation bias), and how you updated your position publicly and professionally.

Commercial due diligence structure: 1) Market (grocery sector growth, e-commerce disruption, competitive intensity), 2) Business position (market share, store economics, loyalty program, private label penetration), 3) Customer analysis (basket size trends, retention, demographic trajectory), 4) Value creation levers (margin improvement, network expansion, digital capability), 5) Risks (labor costs, real estate, competitive response from Walmart/Amazon). Synthesize to an investment thesis.

Walk through the business question, the data you had access to (and its limitations), the analytical methodology, the key assumptions, how you stress-tested your conclusions (sensitivity analysis, alternative scenarios, independent review), and what the analysis led to. Show analytical rigor and epistemic humility about what the data could and couldn't tell you.

Structure a prioritization framework: 1) Strategic alignment (does it advance the company's core thesis?), 2) Financial impact (magnitude and timing of value creation), 3) Feasibility (do we have the capability and resources?), 4) Risk (what if it fails?), 5) Dependencies (does it enable or block other initiatives?). Score each initiative on these dimensions, weight by the company's stated priorities, and drive to a ranked recommendation.