"매 logical reasoning 의 stress test". 매 ambiguous business problem + 매 limited info + 매 30 min. 매 MBB (McKinsey, BCG, Bain) 의 hiring filter. 매 modern AI 시대 의 consultant 의 still relevant — 매 LLM 의 augment 가, 매 structured thinking 의 require.
매 inbound → operations → outbound → marketing → service.
→ 매 모든 의 mechanical 적용 X. 매 problem 의 fit.
매 modern (AI era)
매 LLM 의 framework / data 의 augment.
매 case 의 still 인간 의 final.
매 structured thinking 의 increasingly valuable.
매 AI 의 한계 (hallucination, judgment) 의 understand.
매 prep resource
매 "Case in Point" (Marc Cosentino).
매 "Case Interview Secrets" (Victor Cheng).
매 PrepLounge / Management Consulted (mock).
매 firm 의 own case prep.
매 anti-pattern
매 framework 의 force.
매 structure 없이 jump.
매 silent thinking.
매 panic on numbers.
매 ignore interviewer 의 hint.
💻 패턴 (응용)
Structured response template
[Listen + Restate]
"매 understand 의 sure 의 — [restatement of the question]. Right?"
[Clarify]
"Before structuring, may I ask:
1. What is the company's current state?
2. Are we looking at a specific market / time horizon?
3. How is success defined?"
[Structure (after 60 sec think)]
"I'd like to break this into [N] areas:
1. [Bucket 1]: [why this matters]
2. [Bucket 2]: ...
3. [Bucket 3]: ...
Let me start with [bucket 1] because [reasoning]."
[Analyze each bucket]
[Synthesize + 5R]
"To summarize:
- The question was [Recap].
- I recommend [Recommend].
- Because [Reasons 1-3].
- Risks include [Risk 1-2].
- Next steps would be [Retention]."
"How many tennis balls fit in a Boeing 747?"
1. Plane volume: ~875 cubic meters (interior, after subtracting walls/seats).
2. Tennis ball volume: ~0.0001 m³ (4πr³/3 with r=3.4cm).
3. Packing efficiency: ~70% (FCC packing).
= 875 / 0.0001 × 0.7 ≈ 6.1 million tennis balls.
Sanity check: 매 reasonable order of magnitude.
Mock interview prompt
MOCK_PROMPTS=["Our client is a regional grocery chain. Profits dropped 15% last year. Why?","Should our pharma client enter the African market?","How would you size the global market for electric toothbrushes?","A streaming service is losing subscribers. What would you investigate?","Our manufacturing client has 30% scrap rate. How to reduce?",]defpractice_session():importrandomprompt=random.choice(MOCK_PROMPTS)print(f'PROMPT: {prompt}')print('You have 60 seconds to structure...')# 매 record voice + 매 transcribe + 매 LLM critique
LLM-assisted prep
defcase_critique(transcript):returnllm.generate(f"""You are a McKinsey case interview coach. Evaluate this case response transcript on:
1. Structure (MECE? clear buckets?)
2. Logic (sound reasoning? cause-effect?)
3. Math (correct? clear?)
4. Communication (concise? confident?)
5. Insight (non-trivial conclusions?)
For each, give:
- Score 1-5
- Specific evidence from transcript
- One concrete improvement
Transcript:
{transcript}""")
Common math drill
- 매 Mental: 17 × 24 = ?
Trick: (20-3)(24) = 480 - 72 = 408
- 매 Percentage: $4.5M is 36% of total revenue. What's revenue?
$4.5 / 0.36 = $12.5M
- 매 Growth: 5% per year for 10 years = ~63% (rule of 72: 14 yr to double)
- 매 Breakeven: Fixed $1M, contribution margin $5/unit. Breakeven volume?
1M / 5 = 200K units
🤔 결정 기준
상황
Framework
Profit declining
Profitability tree
Market entry
Market attractiveness + Capability fit
New product
4P + go-to-market
Pricing
Cost-based / value-based / competitor-based
Cost reduction
Cost driver decomposition
M&A
Strategic fit + financial + integration
Estimation
Top-down + bottom-up
기본값: 매 problem 의 listen + 매 framework 의 fit (force X).
Antigravity Agent