Fin Maverick
Foundations VocabularyAccounting & ReportingEconomics & MacroQuant Methods & ProgrammingBusiness & Company AnalysisCorporate Finance & ValuationBehavioural Finance
Banking & Market InfrastructureFixed Income & RatesDerivatives & Structured ProductsPublic EquitiesTransactions & DealsPortfolio ConstructionFunds & AMCs
Private Markets & AlternativesRisk, Treasury & ControlAI & Digital FinanceStochastic Calculus & PricingWealth & Personal FinanceIndian Markets & RegulationProfessional Practice
Explore NISM prep
Series-VIII · Equity DerivativesSeries-XII · Securities Markets FoundationSeries-V-A · Mutual Fund DistributorsSeries-XV · Research AnalystSeries-XIX-E · Category III AIF ManagersSeries-XIX-D · Category I & II AIF ManagersSeries-XIX-C · Alternative Investment Fund ManagersSeries-XVI · Commodity DerivativesSeries-VI · Depository OperationsSeries-II-A · Registrars & Transfer AgentsSeries-I · Currency DerivativesSeries-VII · Securities Operations & Risk Management
Explore Bootcamps
Equity ResearchPortfolio ManagementMutual Fund MasteryInvestment Banking Analyst
Private Equity AnalystQuant & Hedge Fund AnalystBreaking Into VCFinancial Analyst Program
Risk Management ProgramPrivate Wealth ManagementDebt Capital MarketsDerivatives Foundation
Explore Free Courses

Equity Research6

Writing an Investment ThesisBuilding a Discounted Cash FlowReading an Annual Report FastReading a Sector Before a CompanySpotting Quality of Earnings Red FlagsBuilding a Revenue Forecast From Drivers

Portfolio Management3

Rebalancing: When, Why and What It CostsStrategic and Tactical Asset AllocationMeasuring Risk in a Portfolio

Mutual Fund Mastery3

Comparing Funds Without Being FooledHow a NAV Is Struck and Which Day You GetReading a Fund Factsheet Properly

Derivatives Unlocked4

Hedging a Real ExposureThe Greeks, PracticallyFutures, the Basis and What Moves ItReading an Option Payoff

AI For Finance2

Retrieval and Grounding for FinanceDocument Extraction in Finance

Breaking Into Quants4

Backtesting a StrategyHypothesis TestingCleaning Financial DataRegression for Finance

Breaking Into VC3

Sizing a MarketReading a Term Sheet as a FounderHow a Venture Round Actually Works

Financial Analyst Program4

Common Size and Trend AnalysisReading a Cash Flow StatementRatio Analysis That Says SomethingBuilding a Working Capital Schedule

Risk Management Program2

Credit Exposure and How It Is ReducedValue at Risk and What It Hides

Investment Banking Analyst3

Precedent Transactions and Why They DifferReading a Term Sheet StructurallyBuilding a Comparable Companies Table

Private Wealth Management3

Tax Aware Portfolio DecisionsBuilding a Client Risk ProfileGoal Based Planning Arithmetic

Debt Capital Markets3

Analysing an Issuer's CreditDuration and What It Does Not Tell YouBond Pricing and Yield Mechanics

Private Equity Analyst2

Fund Waterfalls and CarryThe LBO in Structure

Hedge Funds Analyst2

Short Selling MechanicsLong Short Mechanics
QuarksCourses
Explore Interview Preparation
Investment BankingEquity ResearchVenture CapitalistPrivate EquityHedge Funds
QuantFinancial AnalysisPrivate Wealth ManagementDebt Capital MarketsRisk Management
Derivatives FoundationPortfolio ManagementMutual Fund Mastery
PartnershipsShowdown
Log inSign up
Interview tracksAll
1Investment Banking
Question bankPuzzlesCase studies
2Equity Research
Question bankPuzzlesCase studies
3Venture Capital
Question bankPuzzlesCase studies
4Private Equity
Question bankPuzzlesCase studies
5Hedge Funds
Question bankPuzzlesCase studies
6Quant
Question bankPuzzlesCase studies
7Financial Analysis
Question bankPuzzlesCase studies
8Private Wealth Management
Question bankPuzzlesCase studies
9Debt Capital Markets
Question bankPuzzlesCase studies
10Risk Management
Question bankPuzzlesCase studies
11Derivatives Foundation
Question bankPuzzlesCase studies
12Portfolio Management
Question bankPuzzlesCase studies
13Mutual Fund Mastery
Question bankPuzzlesCase studies

Venture Capital interview preparation

Sourcing, unit economics, term sheets, cap tables, fund economics and the India venture market. Every question is either traced to a named firm from a public candidate report, or tagged at desk level when we could not trace it — answers lead with the point, then the mechanism, then the limitation.

Jump to the question bank
Go deeper

Breaking Into VC Bootcamp

Question banks tell you what gets asked. This course gives you the work behind an answer that survives a follow-up.

Explore the course →
Question bank

100 questions, mapped to the firms that asked them

Questions
100
Traced to a firm
31
Firms
12
Updated
September 2026
Asked at
All firmsGeneral Atlantic9Insight Partners7Silver Lake6Vista Equity Partners4Bessemer Venture Partners3ACAccel2Advent International2Battery Ventures2Andreessen Horowitz1Coatue Management1Sequoia Capital1WPWarburg Pincus1
Topic
All topicsSourcing and deal flow5Market sizing and estimation8Founders and teams5Unit economics and cohorts11Term sheets12Cap table and dilution7Early-stage valuation7Portfolio construction6Board and governance4Down rounds and secondaries4Exits and liquidity4Fund economics5Sector theses and markets6India venture market6Fit and motivation10
Level
AnyCoreIntermediateHard
Type
AnyTechnicalFitCaseMarket viewBrainteaser
Showing 1–3 of 3 · filtered from 100Clear filters
  1. 008A founder tells you their TAM is fifty billion dollars. How do you stress-test that?Market sizing and estimationIntermediatetechnicalEarly-stage VCGrowth equity

    Say this

    Rebuild it bottom-up in front of them and see where the two numbers diverge. Then test the three places TAM claims usually break: who actually has a budget, what they actually pay, and whether the product they are buying is the one that reaches all of those customers.

    Then walk it

    1. Ask how they built it. If the answer is a research-house report, the number is not theirs and they have not thought about it. If they can build it live, that alone is most of the signal I need about the founder.
    2. Test the customer count. 'All small businesses' is not an addressable base. How many have the problem acutely, have the budget, and are reachable through a channel you can afford? That usually cuts the base by 80 to 90 percent.
    3. Test the price. Founders assume enterprise pricing on an SMB base. If the claimed ACV is $30,000 and the customers are 20-person firms, the pricing and the segment contradict each other.
    4. Test the product boundary. A $50bn TAM often assumes three products they have not built. Ask what share of it today's product addresses, and you frequently get from $50bn to $400m in one question.
    5. Then the important reframe, and I would say it kindly: the size of the TAM barely matters at seed. What matters is whether the first $10m of revenue is reachable from one segment with one product. A huge TAM with no beachhead is a worse company than a $1bn market with an obvious wedge.
    6. And I would not treat a bad TAM slide as disqualifying. Plenty of great companies had absurd TAM slides. It is a probe into how the founder thinks, not a scorecard item.

    Where candidates lose it

    Treating this as gotcha — catching the founder out and feeling clever. Diligence is not cross-examination. The useful output is a defensible number and a read on how the founder reasons under pressure, and you get neither if you turn it into an argument.

    Expect next

    • What is the smallest market you would still invest in?
    • How do you find the beachhead segment?
    • What if they refuse to rebuild it with you?
  2. 010If you were to open a restaurant, what would be your key concerns?Market sizing and estimationIntermediatetechnicalGeneral AtlanticGeneralist · Beijing · 2014

    Say this

    Treat it as an investment, not a hobby: location economics, the unit-level P&L, working capital, and whether the concept is repeatable. The concerns in order are rent as a share of revenue, labour, food cost, and whether I can get a second site to work.

    Then walk it

    1. Unit economics first. Restaurant maths is brutal and well known: food cost around 30 percent of revenue, labour 25 to 30, rent under 10, leaving a single-digit to low-teens operating margin if everything goes right.
    2. So the binding constraint is revenue per square foot, which is really seats times turns times average ticket. Forty seats, two turns at lunch and two at dinner, ₹600 average ticket, 26 days — that is about ₹2.5m a month, or ₹30m a year. Every cost decision has to fit inside that.
    3. Then the capital question: fit-out and deposit are largely sunk and unrecoverable, payback on a new site typically runs 18 to 30 months, and the lease term has to be long enough to earn that back. A three-year lease on a five-year payback is not a business.
    4. Working capital is the thing people miss. Suppliers on short credit, aggregators paying out on a lag, staff paid monthly, plus perishable inventory. A profitable restaurant can die on a cash timing mismatch.
    5. Then the concern I would lead with as an investor: is it repeatable without me? A single great restaurant is a job, not an asset. What makes it scalable is a standardised menu, a central kitchen, a manager who is not the founder, and a site-selection model that has worked twice.
    6. And the delivery question, which changed the maths: aggregator commissions of 20 to 30 percent turn a thin dine-in margin negative unless you price a separate delivery menu. Cloud kitchens exist because that one number is so punishing.

    Where candidates lose it

    Answering as a diner — menu, ambience, chef. The interviewer is testing whether you naturally reach for a unit-level P&L and a payback period on an unfamiliar business. Lead with the cost structure and the repeatability, then let the concept discussion follow.

    Expect next

    • How long before you open a second location?
    • Would you ever invest in a restaurant chain? What would you need to see?
    • What is the payback period on a new site and how would you shorten it?

    Reported by candidates at General Atlantic (Generalist, Beijing, 2014). Source: Wall Street Oasis.

  3. 011Size the market for electric two-wheelers in India.Market sizing and estimationIntermediatetechnicalIndian venture capitalGrowth equity

    Say this

    Start from the total two-wheeler market, take the realistic electric penetration curve, then convert to revenue at the electric price point. India sells roughly 17 to 18 million two-wheelers a year, electric is in the high single digits of that today, and the plausible path is 25 to 30 percent within five to seven years.

    Then walk it

    1. Base: about 17 million two-wheelers a year, in a country with roughly 300 million households, so penetration is already high and the market is mostly replacement plus first-time urban buyers.
    2. Penetration: electric is around 6 to 10 percent of new sales now, concentrated in scooters rather than motorcycles, because urban short-trip use suits the range and the drivetrain.
    3. So at 25 percent penetration that is roughly 4.5 million units a year. At an average selling price of ₹1.1 lakh, that is about ₹500bn, call it $6bn of annual vehicle revenue.
    4. Then the segments that matter more for a venture return, because the vehicle itself is a low-margin manufacturing business: batteries and swapping, charging infrastructure, and financing. Financing is the interesting one — at 80 percent loan-to-value on $6bn of sales that is roughly $5bn of annual originations.
    5. Then the constraints I would name unprompted: subsidy dependence, since FAME-type incentives have repeatedly moved the price point and demand with it; battery cell import reliance; and the fleet segment, where delivery and ride-hailing operators buy on total cost per kilometre and adopt years ahead of retail.
    6. Cross-check: electric two-wheeler penetration in China ran far higher far earlier, which says the ceiling is not technological. And petrol at ₹105 a litre against electricity means a running cost gap of roughly 80 percent per kilometre, which is why the fleet segment converts first.

    Where candidates lose it

    Producing one unit number and stopping. The investable question is which layer of the stack has venture-scale margin, and for EVs that is usually batteries, swapping or financing rather than assembling vehicles. Also: ignoring subsidy dependence, which has already reset this market twice.

    Expect next

    • Which layer of that value chain would you actually invest in?
    • What happens to the unit economics if the subsidy goes away?
    • How would you diligence a battery-swapping company?

Firm tags come from public, anonymous candidate reports on Wall Street Oasis: strong signal, not sworn testimony. Firms are named as the places a question was reported, not as partners of Fin Maverick. Answers are written for this page to show how to think out loud; they are not scripts to recite.

Puzzles

100 Venture Capital puzzles, solved step by step

Try each one before you read the answer: probability, mental maths and the brainteasers interviewers use to watch you think.

Solve the puzzles →
Case studies

100 Venture Capital case studies, worked step by step

A business, its numbers and a task, as in an assessment day or a case round. Work it on paper, then open the solution one step at a time.

Work the cases →
Fin Maverick Free CoursesExplore Free Courses
Fin Maverick BootcampsExplore Bootcamps
Fin Maverick

Finance education that ends in a job, not a certificate that gathers dust. Built for young India.

LEARN
CalculatorsFrameworksComparisonsInterview RoadmapsShowdown
RESOURCES
All CoursesFree CoursesBootcampsInternships
COMPANY
AboutJob openingPartnership
LEGAL
Privacy PolicyTerms & ConditionsContent LicenseReturn & Refund Policy
© 2026 FIN MAVERICK / BUILT FOR INDIA.DO FINANCE, DO NOT JUST READ ABOUT IT.