BCG Case Interview Practice: 10 Examples & What to Expect

BCG case interviews are interviewer-led and exhibit-heavy: the interviewer hands you 3-5 data exhibits sequentially and asks targeted questions at each stage, rather than letting you drive the full analysis. Candidates who've only practiced McKinsey-style candidate-led cases often underestimate this format — the exhibit interpretation requirements are more demanding, and BCG's specific questions test different skills than open-ended prompts.

The most common BCG failure mode is not weak frameworks or slow math — it is treating each exhibit as an isolated question and never building a hypothesis across the case. After three charts, a strong candidate knows exactly what is wrong with the client. A weak one is still describing what the axes say.

BCG cases are exhibit-heavy — typically 3-5 data visualizations per case — and interviewer-led, meaning the interviewer guides you through specific questions rather than you driving the structure. That format sounds easier, but it has a trap: candidates answer each question competently in isolation without synthesizing across exhibits. After exhibit one shows declining revenue per transaction, exhibit two shows the decline concentrated in the enterprise segment, and exhibit three shows a new competitor entered enterprise 18 months ago, a strong candidate says: "My hypothesis is that this is a competitive pricing response problem in enterprise." A weak candidate summarizes exhibit three without connecting it to the first two.

This guide walks through 10 BCG-style case examples with the analytical approach for each, covers BCG-specific format nuances including the written case interview (a 2-hour, 40-slide format used in some final rounds, with a downloadable BCG example PDF), and explains what BCG specifically looks for in how you work through their cases. For the full format overview including the Casey chatbot assessment, see the BCG Case Interview Guide.

How BCG Differs from McKinsey and Bain

Understanding where BCG sits relative to the other MBB firms shapes how you practice. BCG is not simply "McKinsey but interviewer-led." According to BCG's case interview preparation resources, case interviews assess "business judgment, logical reasoning, and quantitative aptitude" — but the format in which those skills are tested differs meaningfully across firms:

What this means for practice: BCG gives you slightly more room than McKinsey to shape your approach, but probes harder on whether you can extract the "so what" from data. If you have been practicing only McKinsey-style cases (where exhibits are handed to you with clear questions), BCG will feel harder because the questions require more independent synthesis. If you have been practicing only Bain-style candidate-led cases, BCG will feel more structured but the exhibit volume will be higher than you expect.

How to Build a Running Hypothesis Across a BCG Case

The single skill that separates strong from exceptional BCG candidates is maintaining and updating a hypothesis as each new exhibit arrives. Here is the framework:

1. After exhibit 1: Form an initial hypothesis. "Revenue is declining — my hypothesis is this is price-driven, not volume-driven."
2. After exhibit 2: Refine or pivot. "The second exhibit shows volume is actually up but average transaction value is down. My hypothesis shifts to a mix problem — we are selling more of the lower-priced products."
3. After exhibit 3: Converge. "This exhibit confirms that the product mix shifted after a competitor entered the premium segment. My hypothesis is now that competitive pressure pushed sales toward our value tier."
4. In your synthesis: Connect all exhibits explicitly. "Exhibits 1, 2, and 3 together tell us that the revenue decline is a mix effect driven by competitive entry in premium, not an overall demand problem."

Practice this on every case below. After the third exhibit prompt, pause and articulate your hypothesis in one sentence before reading the worked approach.

BCG's Preference for Market Sizing as Openers

One BCG-specific nuance that catches candidates off guard: BCG interviewers frequently open cases with a market sizing question before diving into the strategic problem. This is more common at BCG than at McKinsey or Bain.

For example, a BCG case about whether a retailer should enter a new product category might start with: "Before we get into the strategy, let's size this market. How large is the US market for premium pet food?"

The market sizing isn't disconnected from the case — it establishes the opportunity size that informs the subsequent strategic analysis. If your market sizing estimate suggests a $2B market with limited growth, the strategic case for entry is very different than if the market is $8B and growing at 12% annually.

This means your market sizing needs to be solid. BCG interviewers will test your assumptions and push back on your logic more aggressively than in a standalone sizing exercise. For a structured approach, see Market Sizing Step-by-Step.

The BCG Written Case Interview

Some BCG offices use a written case format in addition to — or in place of — one of the standard oral case interviews. This format is used primarily in second-round interviews, and BCG offices in the US, Russia, Sweden, the Netherlands, and South Africa have been known to include it (IGotAnOffer written case guide). You'll know well in advance if your interview includes a written case.

The format:

• You receive approximately 40 PowerPoint slides containing data, charts, tables, and sometimes press clippings
• You're given 3-4 key questions to answer
• You have 2 hours to review the material and prepare 3-5 presentation slides with your recommendations
• You then present and discuss your slides with the interviewer for about 40 minutes, during which they will challenge your analysis and probe your reasoning

Key constraints:

• You can use a calculator
• You cannot write on the slides BCG provides (they reuse them with other candidates)
• Your own slides need to tell a clear story — not just dump data, but synthesize it into a recommendation

How this differs from a standard case: The written case tests your ability to prioritize information under time pressure, self-direct your analysis without interviewer guidance, and communicate findings in slide format. You have 40 slides of data and 2 hours — you cannot read everything deeply. You need to triage: which slides contain data relevant to the 3-4 questions, and which can be skimmed or skipped?

How to prepare: Practice building slide-based recommendations from data packages. BCG has published a written case example PDF directly on their careers domain. Work through it under timed conditions. PrepLounge's community also has discussion threads on BCG written case preparation with candidate reports from recent rounds.

Preparing for the Casey Chatbot Assessment

If you are applying to BCG, you may face the Casey chatbot before or alongside traditional case rounds. According to BCG's interview process page, Casey is a text-based online case assessment that tests structured thinking, math, and data interpretation. The assessment lasts approximately 25-35 minutes and consists of more than 20 questions based on several business scenarios, including a combination of multiple-choice questions, free-text answers, and a video summary. It is a separate preparation track from live cases.

Casey question types to practice:

• Integrated reasoning: Combine information from multiple sources (text, tables, charts) to answer a question. This directly parallels the multi-exhibit synthesis skill used in live BCG cases.
• Multi-source reasoning: Evaluate which data sources are relevant to a specific question. Casey may present 4-5 sources and ask which ones you need — testing your ability to triage information, not just analyze it.
• Table and graphic interpretation: Read specific values from complex tables and charts under time pressure. Practice reading waterfall charts, stacked bar charts, and scatter plots quickly — BCG cases use all three frequently.
• Quantitative reasoning: Multi-step math problems embedded in case context. These are similar to what you will see in live cases but delivered in text form.

Key difference from live cases: In Casey, you cannot ask the interviewer clarifying questions. You must extract all relevant information from the materials provided. This makes triage skill — quickly identifying which data matters — even more important than in live cases.

Practicing with any chatbot-based case tool (including our AI case practice) builds relevant skills for this format. For detailed Casey coverage, see the BCG Case Interview Guide.

10 BCG Case Practice Examples

Case 1: Profitability Decline — European Specialty Chemicals Manufacturer

Prompt: A European specialty chemicals manufacturer has seen operating margin decline from 14% to 10% over two years despite revenue growing 12%. The CEO hired BCG to diagnose why profitable growth is not translating to the bottom line.

How BCG would walk you through this (3 exhibits):

• Exhibit 1: Revenue waterfall by product segment showing that growth is concentrated in commodity-grade products (+22%) while specialty products grew only 3%.
• Exhibit 2: A cost breakdown showing raw material costs rose from 38% to 44% of revenue, with a callout that commodity-grade products use 2.3x more raw material per revenue dollar than specialty products.
• Exhibit 3: A margin-by-segment chart showing specialty products at 22% margin vs. commodity products at 6% margin.

Practice the hypothesis chain:

• After exhibit 1: "Revenue grew, but mostly in commodity-grade. My hypothesis is that the margin decline is a mix problem — we are growing in the wrong segment."
• After exhibit 2: "Raw material costs grew disproportionately, which makes sense if the growth is in material-intensive commodity products. My hypothesis is strengthening: this is a revenue quality problem, not a cost control failure."
• After exhibit 3: "Confirmed. The 4-point margin decline maps almost exactly to the shift in revenue mix from 22%-margin specialty to 6%-margin commodity. The fix is in the commercial strategy, not operations."

Worked approach:

1. Quantify the mix effect. If commodity revenue grew from $60M to $73M and specialty stayed at $140M, total revenue grew from $200M to $213M. At old mix, blended margin would have been ~12.5%. At new mix with commodity at 34% of revenue (up from 30%), blended margin drops to ~10.5% — matching the observed decline.
2. The key question becomes: why is the client growing in commodity? Likely explanations: sales team is incentivized on revenue (not margin), or a competitor exited commodity and the client absorbed volume without margin discipline.
3. Recommendation: reset sales incentives to reward margin contribution, not revenue. Cap commodity-grade production at current levels unless margin exceeds 10%. Redirect commercial investment to specialty product innovation where the moat is stronger.

Case 2: Market Entry — Electric Vehicle Charging

Prompt: A large European energy utility is considering entering the US electric vehicle fast-charging market. Should they?

BCG's approach: Would guide you through market size, competitive landscape, required investment, and strategic fit in separate question segments.

The key insight pattern: Market entry cases at BCG typically end on the question of strategic fit, not just market attractiveness. Is the EV charging business adjacent to what the client knows, and does their existing asset base create a real advantage?

Worked approach:

• Market size: US EV fleet is growing rapidly; charging infrastructure is lagging demand. Market looks large and underpenetrated.
• Competitive landscape: ChargePoint, EVgo, and Tesla's Supercharger network are incumbents. A utility entering faces real competition from established players with installed bases.
• Investment required: Fast-charging infrastructure is capital-intensive — $50-150K per station depending on power level. Site acquisition and grid connection are long-lead, high-cost items.
• Strategic fit: A utility has grid expertise and potentially existing land assets at substations. They can connect chargers to the grid at lower cost than a pure-play charging company. This is a genuine competitive advantage.
• Recommendation: Entry is attractive but execution risk is high. Recommended path is a partnership or JV with an existing US network to leverage their customer relationships while the utility contributes grid expertise and capital.

Case 3: Pricing Strategy — SaaS Company

Prompt: A B2B SaaS company has been growing at 25% annually but its net revenue retention (NRR) dropped from 115% to 102% last year. What's driving this, and what should they do?

BCG's approach: Would show you a cohort analysis and customer segment breakdown.

The key insight pattern: NRR decline in SaaS is almost always either expansion revenue drying up (upsell and cross-sell slowing) or churn increasing. The exhibit data tells you which.

Worked approach:

• If the exhibit shows that gross revenue retention is stable (~95%, meaning low churn) but expansion revenue has dropped from 20% to 7%, the problem is the upsell motion, not the product.
• This suggests the commercial team is either not pursuing expansion systematically or the product hasn't evolved to generate natural upsell opportunities (features that users hit ceilings on).
• Quantification: At $100M ARR, the NRR decline from 115% to 102% represents $13M in forgone annual expansion revenue. Over three years, this compounds.
• Recommendation: Redesign the expansion playbook — including triggers for expansion outreach (usage thresholds, team size growth) and product-led growth features that make upgrades natural rather than sales-driven.

Case 4: Operations — Hospital System Efficiency

Prompt: A regional hospital system's operating costs per patient have increased 22% over four years while patient volume has grown only 8%. The CEO wants to understand why and how to close the gap.

BCG's approach: Would walk you through a cost-per-service breakdown, staffing ratios, and potentially a case-mix analysis.

The key insight pattern: Healthcare cost problems are often labor-driven (60-70% of hospital costs) or driven by case mix complexity (sicker patients cost more per encounter).

Worked approach:

• Start by decomposing the 22% cost increase by category. If labor costs per patient grew 28% while supplies grew 6%, labor is the clear driver.
• Check whether case mix has shifted — if the system is serving sicker patients on average (more ICU days, more complex procedures), higher cost per patient is expected and not necessarily a problem.
• If complexity is stable and labor costs are still growing disproportionately, look at staffing ratios and overtime utilization. A common pattern: hospitals that expanded staff during high-demand periods haven't adjusted back, and agency nurse utilization (at 2-3x the cost of permanent staff) has become structural.
• Recommendation: Target the highest-growth cost category with a specific intervention — e.g., reduce agency nurse utilization from 18% of nursing hours to 8% through retention programs and scheduling optimization, saving an estimated $X million annually.

Case 5: M&A — Consumer Goods Acquisition

Prompt: A large consumer goods company is considering acquiring a premium snack brand for $350M. Revenue of the target is $45M. Is this a good deal?

BCG's approach: Would guide you through revenue multiple justification, synergy analysis, and integration risk in sequence.

The key insight pattern: Revenue multiple of roughly 7.8x is high for consumer goods. The deal must be justified by either premium growth prospects or significant synergies — and BCG interviewers expect you to quantify which.

Worked approach:

• Revenue multiple context: 7.8x revenue is justified if the target is growing 30%+ annually with strong brand equity in a premium category that the acquirer can't build organically. If growth is 15%, the multiple is hard to justify without substantial synergies.
• Synergy analysis: Revenue synergies (distribution through the acquirer's retail network — how many additional points of distribution, at what estimated revenue per point). Cost synergies (manufacturing, procurement scale, G&A elimination). Quantify each.
• Integration risk: Premium brands often lose brand equity when absorbed into large CPG companies. Maintaining brand independence post-acquisition is typically required, which limits cost synergy realization.
• Recommendation: Contingent on growth trajectory. If target is growing 30%+ with defensible brand positioning in an expanding premium segment, the deal is justifiable even at 7.8x with conservative synergies. At 15% growth, the acquirer is overpaying unless synergies exceed $20M annually.

Case 6: Growth Strategy — Fitness App

Prompt: A fitness app with 3M monthly active users wants to grow to 10M MAU in three years. What's the path?

BCG's approach: Would show you user acquisition economics, retention cohorts, and channel-level CAC data.

Key insight pattern: Growth to 10M requires understanding current acquisition cost and retention profile. If retention is low, you're filling a leaky bucket — and the math on 10M MAU becomes very expensive very quickly.

Worked approach:

• Current state: 3M MAU. Need 7M incremental net MAU in 36 months. But if 50% of new users churn within 60 days, you'd need to acquire far more than 7M gross users.
• Retention math: If 60-day retention is 50%, acquiring 7M net users requires approximately 14M gross user acquisitions. At a blended CAC of $8, that's $112M in acquisition spend alone.
• If retention improves to 65%, the same 7M net target requires approximately 10.8M gross acquisitions — $86M, a $26M savings.
• Channel economics: Paid social (high cost, scalable), word-of-mouth/referral (low cost, harder to control), partnerships (fitness equipment brands, gyms, health insurers — variable cost, high credibility).
• Recommendation: Fix retention first, then scale acquisition. Improving 60-day retention from 50% to 65% reduces the total acquisition budget by ~23%. Then focus on the lowest-CAC, highest-volume channels — referral programs and fitness brand partnerships before scaling paid social.

Case 7: Profitability — Airline Ancillary Revenue

Prompt: A major US airline's core ticket revenue is flat, but its CEO wants to improve EBITDA margin by 4 points over two years. Where should they focus?

BCG's approach: Would show you a revenue breakdown by category (ticket, baggage, seat upgrades, cargo, loyalty program) and a margin-by-category analysis.

Key insight pattern: Airlines generate a significant and growing share of profit from ancillary fees and loyalty programs. The question is which ancillary categories have the most margin expansion opportunity with realistic implementation timelines.

Worked approach:

• Revenue breakdown analysis: If baggage revenue has been growing at 8% annually but the pricing analysis shows the company is still below market rates for premium cabin baggage, there's a revenue yield opportunity.
• Loyalty program economics: Airline loyalty programs are often the most profitable segment of the entire airline when managed as financial products (credit card partnerships). If the loyalty program's co-brand credit card agreement hasn't been renegotiated recently, it may be significantly underpriced relative to current market benchmarks.
• Quantification: A 15% improvement in co-brand economics on a $2B loyalty program could contribute 1.5-2 margin points alone.
• Recommendation: Two-lever approach — pricing optimization on ancillary fees (quick win, 12-18 months, 1-1.5 margin points) and loyalty program renegotiation with credit card partners (larger opportunity, 18-24 months to realize, 1.5-2 margin points).

Case 8: Market Sizing as Strategic Opener — Digital Health Platform

Prompt: A large pharmaceutical company is considering launching a direct-to-consumer digital health platform for chronic disease management. Before we discuss the strategy, how large is the US market for digital chronic disease management?

Why this is BCG-specific: BCG frequently opens strategic cases with a market sizing question. The sizing is not disconnected — your estimate directly informs whether the strategy is worth pursuing. If the market is $2B and mature, the case pivots to niche positioning. If it is $15B and growing 25% annually, the case is about speed to market. Your sizing shapes every subsequent answer.

Worked approach (top-down):

• US adults with at least one chronic condition (diabetes, hypertension, heart disease, asthma, COPD): approximately 133M (CDC data, ~53% of adults)
• Subset likely to use digital tools: younger, insured, smartphone-enabled. Approximately 60% of chronic disease patients → ~80M potential users.
• Current digital health adoption among chronic disease patients: approximately 15-20% → ~14M active digital health users.
• Average annual spend per user on digital health tools (subscriptions, remote monitoring devices, app-based coaching): approximately $400-600/year.
• Market size estimate: 14M users x $500 = approximately $7B annually, growing at ~20% as adoption increases.

Sanity check: McKinsey Health Institute estimates the US digital health market at $80B+ broadly, with chronic disease management representing roughly 8-10% — that is $6-8B, consistent with our estimate.

How this connects to the case: A $7B market growing at 20% is large enough to justify a pharmaceutical company entering. The next exhibit would likely test whether the pharma company has a defensible advantage (patient data, provider relationships, drug adherence integration) or is entering a crowded market where pure-play digital health companies already dominate.

For a structured framework on market sizing, see Market Sizing Step-by-Step.

Case 9: Competitive Response — Fast Food Chain

Prompt: A fast food chain is losing market share to a new competitor that opened in the same geographic markets 18 months ago. Traffic is down 12% in affected markets. What should they do?

BCG's approach: Would show you traffic trends before and after competitor entry, customer survey data on switching reasons, and potentially a competitor comparison on key attributes.

Key insight pattern: Competitive response cases require understanding what specifically the competitor is winning on — price, quality, speed, format, or brand perception — before recommending a response. The wrong diagnosis leads to the wrong response.

Worked approach:

• If customer survey data shows the competitor wins on quality perception ("fresher ingredients," "better taste") and a younger demographic (18-34) is disproportionately switching, the response is product investment, not price reduction. Price cuts would erode margins without addressing the actual reason for switching.
• If the competitor wins primarily on price with otherwise similar quality, the response is either a value-tier menu or targeted promotions in affected markets.
• In the quality scenario: Invest in quality differentiation on the items where the perception gap is largest (likely core burger/protein items, not sides or drinks). Targeted local promotions in affected markets to rebuild traffic while the product investment takes effect.
• Quantification: A 12% traffic decline in affected markets represents $X million in lost revenue. Recovering half that traffic through product reformulation and marketing would cost $Y million with a Z-month payback period.

Case 10: Operations — Supply Chain Resilience

Prompt: A consumer electronics manufacturer sources 85% of its components from three suppliers in one geographic region. Following recent supply disruptions, the CEO wants to improve supply chain resilience. How?

BCG's approach: Would guide you through supply chain risk assessment, diversification options, and cost-resilience tradeoff modeling.

Key insight pattern: Supply chain resilience involves a tradeoff between concentration (cost efficiency, established relationships) and diversification (resilience, higher unit costs). The recommendation must quantify what the resilience improvement costs versus what disruption risk costs.

Worked approach:

• Risk quantification: What's the cost of a major disruption? If a 90-day supply shortage halts production on $500M annual revenue, the revenue-at-risk is approximately $125M per quarter, plus customer relationship damage and market share loss.
• Diversification options: Geographic diversification (new suppliers in different regions, 12-18 month qualification period), inventory buffering (strategic stockpiles of 45-90 days for critical components), near-shoring (higher unit cost but lower geographic and geopolitical risk).
• Cost of diversification: Dual-sourcing typically adds 5-12% to component costs due to lower volume discounts. Inventory buffering has carrying cost implications of 15-25% of inventory value annually.
• Recommendation: Tiered approach — maintain primary suppliers for cost efficiency on low-risk, easy-to-substitute components. Dual-source the 3-5 highest-risk components (long lead time, single geographic origin, no substitutes) and build 45-day strategic inventory on those same components. Full dual-sourcing of all components would increase costs beyond what the risk profile justifies.

Self-Diagnostic: Are You Practicing Like a BCG Candidate?

Based on BCG's own interview preparation guidance and consistent feedback from candidates in IGotAnOffer's BCG prep guide and Glassdoor interview reviews, after working through the 10 cases above, ask yourself these questions:

1. After exhibit 3 in each case, could you state your hypothesis in one sentence? If you were still summarizing individual exhibits without connecting them, you are not synthesizing — the skill BCG weights most heavily.
2. Did you connect the market sizing opener (Case 8) to the strategic recommendation? BCG uses sizing to frame the opportunity. If your sizing was disconnected from your strategic analysis, practice linking them.
3. Did you quantify your final recommendation? "Dual-source your top 5 components at an 8% cost premium, offset by $30M in reduced disruption losses" is a BCG-caliber recommendation. "Diversify your supply chain" is not.
4. Did you lead with the conclusion in every answer? BCG interviewers evaluate top-down communication. "The key insight is X, supported by Y and Z" — not "Let me walk through the data and see what we find."

For BCG's full scoring criteria, the Casey chatbot assessment, and a complete prep plan, see the BCG Case Interview Guide. For exhibit reading technique, see Reading Charts and Exhibits in Case Interviews. For quantitative sharpness, see Case Interview Math Practice.

BCG's Official Practice Resources

BCG publishes several practice resources on their careers website that are worth working through:

• Interactive practice cases: BCG has published scenarios including a climate target business case, a digital bank strategy refresh, and a cloud migration case for a consumer goods company. These are available at BCG's case interview preparation page.
• Written case example: BCG has published a downloadable written case PDF that gives you a realistic sense of the data volume and question format for the written case interview.
• Casey chatbot preparation: BCG's online assessment — the Casey chatbot — is a text-based case simulation that tests structured thinking, math, and data interpretation in approximately 30-35 minutes, according to IGotAnOffer's Casey assessment guide. Practicing with any chatbot-based case tool (including our AI case practice) builds relevant skills for this format.

How to Practice These Cases

For each of the 10 cases above:

1. Read only the prompt. Cover the worked approach.
2. Write your own structure for 2 minutes — what exhibits would you expect? What is your initial hypothesis?
3. Read each exhibit description one at a time. After each, write one sentence updating your hypothesis.
4. Write your recommendation with a specific number attached.
5. Uncover the worked approach and compare. Where did your hypothesis chain break?

Then practice in simulation. Our AI case practice dashboard includes BCG-format case simulations with exhibit handoffs and evaluation of your synthesis across them. For more worked examples across all firm formats, see Case Interview Examples.

Sources

• BCG Case Interview Preparation — BCG's official case prep resources, practice quizzes, and assessment overview. Checked March 2026.
• BCG Interview Process — BCG's description of interview stages including the Casey online assessment. Checked March 2026.
• BCG Online Case Assessment Guide — IGotAnOffer — Third-party guide covering Casey chatbot format, question types, and preparation strategy. Checked March 2026.

Sources and Further Reading (checked March 10, 2026)

• BCG case interview preparation and interactive practice cases: careers.bcg.com/global/en/case-interview-preparation
• BCG written case interview example PDF: media-publications.bcg.com/BCG-Written-Case-Example.pdf
• IGotAnOffer BCG case interview guide: igotanoffer.com/blogs/mckinsey-case-interview-blog/bcg-case-interview
• IGotAnOffer BCG Casey chatbot guide: igotanoffer.com/en/advice/bcg-online-case-assessment
• IGotAnOffer written case interview guide: igotanoffer.com/blogs/mckinsey-case-interview-blog/written-case-interview
• Glassdoor BCG interview reviews: glassdoor.com/Interview/Boston-Consulting-Group-Interview-Questions-E3879.htm
• Management Consulted BCG case interview: managementconsulted.com/bcg-case-interview
• PrepLounge BCG written case preparation: preplounge.com/consulting-forum/how-to-prepare-for-the-written-case-interview-at-bcg-final-interview-rounds-973