Management Consultant Case Study Interview Questions & Answers (2026)

Since revenue is flat but profits are down 15%, this is a cost problem. I'd disaggregate: Profit = Revenue - COGS - SG&A - Other costs. Let me ask: which cost categories have increased? Interviewer says COGS increased 12%. I'd drill deeper: COGS = (Volume × Unit Cost) + Shrinkage + Distribution. Volume is likely stable if revenue is flat (unless we're selling more low-margin items, which I'd check). So either unit costs from suppliers increased, or operational costs (shrinkage, distribution) grew. Let me ask about supplier costs. Interviewer says supplier costs up 8% due to food inflation. That's partially external, but competitors face the same pressure. So why is our client impacted more? I'd hypothesize: 1) our client has less supplier bargaining power than larger chains, 2) our product mix shifted toward lower-margin categories, or 3) we haven't passed costs to consumers through price increases. After confirming that competitors raised prices 5% while our client held prices flat, my recommendation: implement targeted price increases on inelastic items (staples, branded products) while maintaining competitive pricing on elastic items (produce, private label). I'd also recommend renegotiating top 10 supplier contracts and exploring private label expansion (higher margins). Expected impact: recovering 8-10% of the 15% profit decline through pricing, with the remainder through procurement optimization.

I'd evaluate this across four dimensions. Market attractiveness: mid-tier hotel market size and growth rate. Let me ask about the market. Interviewer says it's a $200B market growing 4% annually. That's large and healthy. Competitive landscape: who are the incumbents? Marriott, Hilton, and IHG dominate with established brands. Differentiation will be challenging. Our client's capability: what assets transfer from luxury to mid-tier? Brand reputation (potentially), operational excellence, customer service training. What doesn't transfer: luxury supply chain, high-end design, premium pricing power. Financial analysis: mid-tier hotels have lower RevPAR ($100-150 vs $400+ for luxury) but lower operating costs. Let me estimate: 200-room mid-tier hotel, $120 average rate, 75% occupancy = $6.6M revenue. Operating margin ~20% = $1.3M profit per property. Development cost $30M. Payback: ~23 years. That's too long for organic build. Brand risk: this is the critical issue. Launching a mid-tier brand under the luxury name dilutes the premium positioning. But a separate brand under the same parent company (like Marriott's portfolio approach) mitigates this. My recommendation: don't enter organically — the payback period is prohibitive and brand risk is high. Instead, consider acquiring an existing mid-tier brand (proven operations, no brand dilution) or creating a separate branded chain that leverages the parent's operational capabilities without the luxury brand name.

I'd approach this in four steps. Step 1 — Define and measure churn: what counts as churn (account closure vs dormancy)? What's the current churn rate? Let me ask. Interviewer says 8% annual churn rate, target is 6%. Step 2 — Segment churners: not all churn is equal. I'd segment by customer value (high-value vs low-value), churn reason (competitive offer, poor service, life event), and predictability (sudden vs gradual disengagement). Let me ask about churn reasons. Interviewer says 40% leave for competitor rates, 30% cite poor digital experience, 20% life events (relocation), 10% service complaints. Step 3 — Targeted interventions per segment: For rate-driven churn (40%): proactive retention offers triggered when customers show rate-shopping behavior (visiting competitor pages, reducing balances). Match competitive rates for high-value customers. For digital experience (30%): mobile app and online banking investment — this is a product issue, not a marketing fix. Specific improvements based on customer feedback. For life events (20%): largely unpreventable, but offering relocation support and maintaining the relationship can retain some. For service complaints (10%): service recovery program with escalation and follow-up. Step 4 — Financial case: average customer lifetime value = $2,000. Reducing churn from 8% to 6% on 500K customers = 10,000 fewer churned customers = $20M in preserved lifetime value annually. Budget request for the retention program: $5M/year. ROI: 4:1.

I'd evaluate across five dimensions. SaaS fundamentals: ARR and growth rate (>30% YoY is strong), net revenue retention (>110% indicates expansion revenue exceeding churn), gross margin (>70% for healthy SaaS), CAC payback period (<18 months), and LTV:CAC ratio (>3:1). These metrics tell us if the business model works at unit economics level. Growth potential: TAM size and penetration (early penetration = more runway), product roadmap credibility, expansion opportunities (new segments, upsell, geographic), and whether growth is sustainable or driven by one-time factors. Competitive position: market share trends, product differentiation (feature parity vs genuine moat), switching costs (high switching costs = defensible), and competitive threats (big tech entering the market?). Customer analysis: concentration risk (is >20% of revenue from one customer?), contract structure (annual vs monthly — annual is more predictable), and customer satisfaction (NPS, G2 reviews). Management and team: key person dependencies, engineering talent quality, and culture fit with PE ownership (can they operate with financial discipline?). Financial model: I'd build a 5-year DCF model with scenarios (base, upside, downside) and compare the implied valuation to the asking price. For PE, the key question is value creation strategy: can we grow ARR through sales investment, expand margins through operational efficiency, or both? My recommendation would depend on whether the company passes the unit economics test (NRR >100%, LTV:CAC >3) and whether there's a credible path to 2-3x value creation over a 5-year hold period.

I'll use a bottom-up approach based on EV demand. Step 1 — EV count: ~330M total vehicles in the US, ~5% are currently EVs = ~16.5M EVs. By 2030, estimates suggest 25-30% = ~85M EVs. I'll use 16.5M current for current market and 50M for 5-year projections. Step 2 — Charging need: EVs charge primarily at home (~80% of charges). The remaining 20% need public charging, but not all at the same time. Average EV needs public charging ~2x per week. Step 3 — Station capacity: average charging session takes 30 minutes (DC fast) to 4 hours (Level 2). At a fast charger: ~20 sessions per day per port. At Level 2: ~4 sessions per day per port. Assuming 70% fast, 30% Level 2 mix for public charging. Step 4 — Stations needed: 16.5M EVs × 20% public charging × 2 sessions/week = 6.6M public sessions/week ÷ 7 = ~943K sessions/day. At 20 sessions/day per fast port × 70% utilization: 943K × 0.7 / (20 × 0.7) = ~47K fast ports needed. At 4 sessions/day per L2 port: 943K × 0.3 / (4 × 0.7) = ~101K L2 ports. Total: ~148K ports. At ~4 ports per station = ~37K stations. Revenue sizing: average charging session $15, 6.6M sessions/week × 52 = $5.1B annual revenue. Sanity check: current US has ~65K public charging ports — my estimate suggests we need ~2.3x more, which aligns with industry reports calling for major expansion. For 2030 with 50M EVs, multiply by ~3x: ~110K stations, ~$15B market.