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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.

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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 1–8 of 8 · filtered from 100Clear filters
  1. 004What companies are you excited about right now?Sourcing and deal flowIntermediatefirst roundBattery VenturesVenture Capital · Boston · 2019General AtlanticTechnology, Media and Telecom · New York · 2016

    Say this

    Have three ready, deliberately different, and lead with why each one matters rather than what it does. One private company in the firm's stage and sector, one public company where you have a real view, and one that is early and slightly contrarian.

    Then walk it

    1. For each, the same four-beat structure: the shift in the world that makes it possible, what the company does, the evidence it is working, and the one thing that would kill it.
    2. Keep it to ninety seconds each. The failure mode is a five-minute product description with no investment view attached.
    3. Make at least one of them a company the firm could plausibly invest in next quarter. That is the real test: whether you can see through their lens, not just yours.
    4. Have a number for each. Revenue run rate if it is public, headcount growth or download trend if it is private, and say where you got it so they know you are not guessing.
    5. The contrarian one earns the most credit and carries the most risk. Say what consensus believes and why you think consensus is wrong. If you cannot state the consensus view accurately, do not use the slot.
    6. Then be ready for the flip: the interviewer will ask why they should not invest. Having the bear case ready is what makes it look like judgement rather than enthusiasm.

    Where candidates lose it

    Naming the same three companies every candidate names, or naming something the firm already owns without knowing it. Read the portfolio page before you walk in. And never pitch a company in their portfolio as a new idea — it happens constantly and it ends the interview.

    Expect next

    • Why should we not invest in that one?
    • What would you need to believe for it to be a ten-bagger?
    • What do you think about our portfolio?

    Reported by candidates at Battery Ventures (Venture Capital, Boston, 2019); General Atlantic (Technology, Media and Telecom, New York, 2016). Source: Wall Street Oasis.

  2. 005If you were sourcing growth equity investment opportunities, which areas would you look for?Sourcing and deal flowIntermediatetechnicalGeneral AtlanticGeneralist · Beijing · 2014

    Say this

    Areas where the business model is already proven and what is left is a capital and execution problem, not a product-risk problem. That means recurring or repeat revenue, a unit economic already in the black, and a market growing faster than nominal GDP.

    Then walk it

    1. The growth equity filter is different from venture: I am not paying for the possibility that it works, I am paying for the certainty that it scales. So the screen is evidence-heavy — net retention, payback, cohort behaviour over at least eight quarters.
    2. Structural tailwind first. Something in the world changed and is still changing: payments digitisation, healthcare shifting to value-based contracts, industrial software replacing spreadsheets. I want the tailwind to run longer than my hold period.
    3. Then market structure. Fragmented markets with a clear consolidator, or category leaders in markets big enough that second place is still a good business. Duopolies with price wars are where growth capital goes to die.
    4. Then the capital-efficiency test: does more money actually buy more growth here? In sales-led B2B, yes, you can hire quota-carrying reps against a known payback. In a consumer business where CAC rises with scale, often no.
    5. Then the entry question, which is where growth deals are actually won or lost: is there a founder-led business that has never raised institutional money and needs a partner for a specific reason — an acquisition, a geography, a secondary for early employees.
    6. Concretely, if I were arguing one today: vertical software in regulated industries, where the incumbent is a twenty-year-old on-premise system, switching is painful but compliance forces it, and net retention sits above 115 percent.

    Where candidates lose it

    Listing hot sectors. The question is about the screen, not the fashion. Growth equity cares about proof, so any answer that does not mention retention, payback and whether capital converts into growth is a venture answer given in a growth seat.

    Expect next

    • How is that screen different from an early-stage one?
    • What would make you pass on a company growing 60 percent a year?
    • Where does a growth investor actually add value?

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

  3. 080Tell me about a trend in technology or software products you have been following.Sector theses and marketsIntermediatefirst roundInsight PartnersSoftware · New York · 2022Bessemer Venture PartnersVenture Capital · New York · 2022

    Say this

    Pick a trend narrow enough to have a testable investment implication, then say who wins, who loses and what you would buy. A trend without a winner and a loser is an observation, and the failure mode here is describing something everybody already knows.

    Then walk it

    1. Structure: the shift, the mechanism, the winners, the losers, and the specific investment it implies. Five beats, two minutes.
    2. Pick something with a second-order consequence you can argue. Everyone can say 'AI is changing software'. The interesting version is a consequence: if AI agents do the work, seat-based pricing breaks, so software revenue shifts from headcount-linked subscriptions to outcome or consumption pricing — and that revalues every company whose growth model assumed seat expansion.
    3. Then the winners and losers from that mechanism. Winners: companies with usage-based pricing already in place, and those owning proprietary workflow data. Losers: seat-based tools whose net revenue retention depended on their customers hiring more people, which is precisely the metric that justified their multiple.
    4. Give one number that grounds it. Something like the share of the leading software companies' net retention historically attributable to seat expansion versus price increases, or the gross margin compression at companies paying large inference bills. Numbers are what make it look like work rather than reading.
    5. Then the falsifier, which almost nobody offers: what would tell you this trend is not happening. If net retention at seat-based leaders holds up over the next four quarters, the thesis is wrong and you should say what you would do about it.
    6. And connect it to the firm's mandate. At a software-focused growth fund, the trend should imply something about what they should stop buying, not just what they should buy. That is the version that gets remembered.

    Where candidates lose it

    Naming a trend so broad it is a headline — AI, cloud, remote work. The interviewer has heard it twenty times this week. Go one level deeper into a mechanism with winners and losers, and bring a falsifier. Also: have two trends ready, because the first follow-up is often 'give me another one'.

    Expect next

    • Who loses from that?
    • What would make you conclude you are wrong?
    • Give me another one, in a different sector.

    Reported by candidates at Insight Partners (Software, New York, 2022); Bessemer Venture Partners (Venture Capital, New York, 2022). Source: Wall Street Oasis.

  4. 081Why software?Sector theses and marketsIntermediatefirst roundVista Equity PartnersPrivate Equity · Austin · 2023

    Say this

    Because the economics are the best in business: near-zero marginal cost, recurring revenue, negative churn when it works, and high switching costs once the product is embedded in a workflow. And because the outcomes are predictable enough to underwrite while the upside is still uncapped.

    Then walk it

    1. The economic case in one line: 80 percent gross margins mean the incremental dollar of revenue is almost all contribution, so growth compounds instead of consuming capital the way a hardware or services business does.
    2. Recurring revenue with expansion is the structural advantage. A company at 120 percent net retention grows the existing base by a fifth each year without selling anything new, which is why the market pays revenue multiples for software and earnings multiples for almost everything else.
    3. Switching costs make it durable. Once a product holds the data and the workflow and three integrations, the cost of ripping it out is far higher than the licence fee, which is why well-run software businesses have such low churn in the enterprise segment.
    4. Then the personal reason, and this is what the question is actually asking. Make it specific: a job where you saw a workflow change when the tool changed, a product you built or sold, a company you followed through a transition. Generic admiration for software is not an answer.
    5. For a fund like this one, add the operating angle: software is the category where a buyer can genuinely improve the asset — pricing, sales productivity, retention motions — because the levers are well understood and repeatable across companies. That is why software-focused funds exist rather than generalists.
    6. And name the honest risk, because they will test it: the era of assuming any vertical SaaS company at 30 percent growth trades at 10 times revenue is over, AI is compressing the moat on thin-workflow products, and the interesting question now is which software businesses own something that a model cannot reproduce.

    Where candidates lose it

    Reciting SaaS metrics as the whole answer. They know the metrics. What they cannot get from a textbook is why you specifically care, so the personal beat has to be concrete and real. And if you cannot articulate what AI does to the software moat, you sound like you learned the sector in 2019.

    Expect next

    • What is the most interesting software company you have looked at recently?
    • What does AI do to the software moat?
    • Why this firm rather than a generalist fund?

    Reported by candidates at Vista Equity Partners (Private Equity, Austin, 2023). Source: Wall Street Oasis.

  5. 084How do you think the venture capital process will change in the next five to ten years, and how should we prepare?Sector theses and marketsHardsuperdayWPWarburg PincusVenture Capital · New York · 2013

    Say this

    Three shifts I would bet on: sourcing and early diligence become largely data-driven, the industry barbells into a handful of very large platforms and many small specialists with the middle squeezed out, and liquidity stops depending on IPO windows because secondaries and continuation vehicles have become permanent infrastructure.

    Then walk it

    1. Sourcing: the parts of the job that are pattern-matching over observable data — hiring velocity, repo activity, app rankings, payment data — get automated, and several firms already run this. What does not automate is the founder judgement and winning a competitive round, so the value of a partner shifts toward those and away from coverage.
    2. Company formation changes the cheque sizes. If a team of four can build what needed thirty people, seed rounds get smaller and the number of credible companies goes up. That is good for small specialist funds and awkward for large funds that need to deploy, because you cannot put $20m into a company that needs $3m.
    3. Structure: the barbell. Multi-billion platforms doing seed through pre-IPO with adjacent credit and wealth businesses, and small high-ownership specialist funds. The $300m to $800m generalist fund with no particular edge is the position under most pressure, and that is the strategic question for most firms in this market.
    4. Liquidity: secondaries, continuation vehicles and employee tender offers are now standard rather than distressed, driven by ten-year holds and the DPI problem. Firms that build a dedicated liquidity capability will return capital faster and raise more easily, and that is becoming a real differentiator with LPs.
    5. How to prepare, which is the half of the question candidates skip. Build the data platform now because it takes years of accumulated data to be useful. Decide explicitly which end of the barbell you are on and stop pretending to be both. Build the secondary capability. And protect the thing that does not commoditise: the relationships that get you into a round you would otherwise be shown after it is full.
    6. And the honest hedge: people have been predicting the disruption of venture for thirty years and the core of the job — a small number of judgement calls on people, made under uncertainty — has not changed. What changes is the mechanics around it, so I would be confident about the sourcing and liquidity predictions and much less confident that the decision itself gets automated.

    Where candidates lose it

    Answering only the first half. 'How should we prepare' is the actual question and it wants concrete firm-level actions. Also predicting that AI will replace investment judgement, which sounds bold and lands badly in a room whose entire business is that judgement. Be specific about what commoditises and what does not.

    Expect next

    • Which end of that barbell should we be on?
    • What part of the job will not be automated?
    • What should we start doing this year?

    Reported by candidates at Warburg Pincus (Venture Capital, New York, 2013). Source: Wall Street Oasis.

  6. 085How is the Indian venture market structurally different from the US?India venture marketIntermediatetechnicalIndian venture capital

    Say this

    Four differences that actually change how you invest: a very large user base with low willingness to pay, so monetisation lags adoption badly; a thinner but improving exit market; lower entry valuations which means more ownership per rupee; and a regulatory and domicile layer that has no US equivalent.

    Then walk it

    1. Monetisation is the big one. India has hundreds of millions of internet users and a small paying segment — the top tier of households drives almost all discretionary digital spend. So a consumer company can have enormous scale and tiny revenue, and TAM built on user counts is systematically misleading. The number that matters is paying users, not users.
    2. That drives the model choice: the successful Indian consumer companies mostly monetise through payments, lending or commerce rather than subscription, because the willingness to pay for software directly is limited. This is why so many Indian startups end up with a financial services layer attached.
    3. Exits were the historic weakness and have genuinely improved. Domestic listings have become a real path — a run of consumer internet, fintech and SaaS listings since 2021 absorbed large blocks of venture stock, and strategic M&A from domestic corporates and global acquirers is more active than a decade ago. But exit scale is still smaller and slower, so a fund's return model has to assume longer holds and more mid-sized outcomes.
    4. Pricing and ownership: seed and Series A rounds in India price well below equivalent US rounds, so the same cheque buys more ownership. That partly offsets smaller exits, and it is why India-focused funds can work at a smaller fund size.
    5. Then the structural layer with no US analogue: FEMA pricing rules on foreign investment, sectoral FDI caps, GIFT City and Mauritius or Singapore holding structures, SEBI AIF registration for domestic funds, and the fact that standard SAFEs do not work so instruments are CCPS or CCDs. Getting this wrong is not a theoretical problem — it delays rounds by months.
    6. And the one genuine advantage worth naming: Indian SaaS selling globally from an Indian cost base. Companies building for US customers with Indian engineering costs have a structural gross-margin and burn-multiple advantage, and that is the category where Indian venture has produced its cleanest global outcomes.

    Where candidates lose it

    Reciting the total internet user number as if it were the market. The paying population is a small fraction of it and every Indian consumer thesis that assumed otherwise has failed. Also claiming exits do not happen in India — that was true in 2015 and is outdated now, and an Indian interviewer will correct you.

    Expect next

    • How would you size a market where only the top decile pays?
    • Why does every Indian consumer company end up in lending?
    • What has changed about Indian exits in the last five years?
  7. 086Sequoia India became Peak XV. What does that tell you about the market?India venture marketIntermediatetechnicalIndian venture capital

    Say this

    That India and Southeast Asia are now large enough to support a locally governed, independently branded franchise, and that running one global multi-stage brand across geographies with different cycles, LP bases and conflict maps had become harder than it was worth. The split was structural rather than a retreat.

    Then walk it

    1. The stated logic, and the credible one: portfolio conflicts across geographies as the firm went multi-stage, different market cycles, and the complexity of one brand carrying accountability for very different books. Similar reasoning drove the separation of the China business.
    2. What it signals positively: the India and Southeast Asia franchise had scale, a track record and an LP base of its own. Peak XV manages several billion dollars, which is a size that does not need a parent brand to raise. That is a market maturing.
    3. What it signals about the local competitive set: Accel India, Elevation, Blume, Lightspeed India, Nexus and Matrix — now Z47 — have all built independent franchises with local governance. The market no longer runs on satellite offices of Sand Hill Road firms, which is a real change from 2010.
    4. The context worth being honest about: it followed a difficult period of governance issues at some Indian portfolio companies, and a broader reckoning about diligence standards in the 2021 vintage. Anyone claiming the timing was purely strategic is glossing over that, and an Indian interviewer will respect you naming it plainly rather than reciting the press release.
    5. The consequence for founders: local decision-making without a global investment committee, and local LP relationships, which usually means faster decisions and more willingness to back models that only make sense in this market. The offsetting loss is access to a global platform for US expansion.
    6. The wider pattern: global funds are either localising with independent entities or concentrating on late-stage cross-border deals. For a candidate, the useful observation is that this makes the India seed and Series A market more competitive and more locally priced than at any point before.

    Where candidates lose it

    Treating it as a scandal story or as pure PR. Both readings are incomplete. Name the structural reasons — conflicts, cycles, LP base — and also acknowledge the governance backdrop, because pretending it did not exist looks either uninformed or evasive. And know the other local franchises by name; a candidate who only knows Peak XV has read one article.

    Expect next

    • Which Indian funds do you think are best positioned and why?
    • What happened with governance in the 2021 Indian vintage?
    • Does a global platform still help an Indian founder?
  8. 090What happened to Indian consumer internet valuations after 2021, and what did it teach you?India venture marketHardsuperdayIndian venture capitalConsumer VC

    Say this

    A sharp repricing: private marks cut by half or more in many cases, several companies listing well below their last private round, and a two-year gap where growth-stage capital simply stopped. The lesson is that GMV growth bought with discounts was never revenue, and the market had been paying software multiples for negative-contribution-margin businesses.

    Then walk it

    1. What happened mechanically: global rates rose, crossover funds withdrew from private markets, and the growth-stage bid disappeared. Companies that had raised at high multiples on a 2021 growth rate could not raise at all, so the reset came through down rounds, markdowns by mutual fund holders, and listings below the last private price.
    2. The visible markers: several high-profile Indian unicorns were written down repeatedly by their public-fund shareholders, funding into Indian startups fell dramatically from the 2021 peak, and a number of consumer companies that did list traded below their final private valuation for a period.
    3. The first lesson, which is specific to India: discount-funded GMV is not a business. Companies were buying transactions with cashback and calling the result growth, and contribution margin per order was negative for years. Once the capital stopped, the growth stopped instantly, which proves it was purchased rather than earned.
    4. The second lesson is about governance. The 2021 vintage included diligence failures on reported metrics and on related-party arrangements in a handful of well-known companies. That produced a permanent tightening in how Indian rounds are diligenced, and it is why forensic work on revenue recognition is now standard rather than optional.
    5. The third lesson is about pricing discipline in a competitive window. Rounds were being signed in days with valuations set by competition rather than analysis, and the funds that held their price lost deals in 2021 and look considerably better in 2026.
    6. What it did not teach: that Indian consumer is uninvestable. The businesses with genuine unit economics came through it and several are now profitable and public. The correction was in price and in the quality of the underwriting, not in the thesis that a few hundred million Indians moving online creates large companies.

    Where candidates lose it

    Either dismissing Indian consumer entirely or claiming nothing was wrong. Both are lazy. The credible answer separates what was mispriced — discount-funded GMV at software multiples — from what remains true, and names the governance dimension, because that is the part Indian investors actually talk about internally.

    Expect next

    • Which of those companies do you think is genuinely good now?
    • How would you diligence reported GMV today?
    • What would make you pay a 2021-style multiple again?

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.

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100 Venture Capital puzzles, solved step by step

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