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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 1–4 of 4 · filtered from 100Clear filters
  1. 079Pitch me a company that is not in our portfolio that we should invest in.Sector theses and marketsHardsuperdayInsight PartnersSoftware · New York · 2022Insight PartnersLeveraged Buyouts · New York · 2023General AtlanticGrowth Equity · New York · 2022General AtlanticGrowth Equity · New York · 2021Silver LakeTechnology, Media and Telecom · San Francisco · 2022

    Say this

    Structure it in five beats and keep it to three minutes: the shift in the world, the company and its wedge, the evidence it is working, why it fits this firm's mandate, and what would kill it. Then stop and let them interrogate it — the pitch is the setup, the cross-examination is the actual test.

    Then walk it

    1. Beat one, the shift: what changed in the last two years that makes this possible and did not before. Regulation, a cost curve, a behaviour change, a platform. Without a 'why now', it is a feature, not a company.
    2. Beat two, the company and the wedge: what they sell, to whom, and why they win that first narrow segment. Be specific about the wedge — 'AI for healthcare' is not a wedge; 'prior-authorisation automation for mid-sized orthopaedic practices' is.
    3. Beat three, the evidence, with numbers and their source: revenue or run rate, growth, retention if you can find it, headcount trend from LinkedIn, app-store ranking, review velocity, whatever is observable. Say where each number came from. Two real numbers beat a page of narrative.
    4. Beat four, why this firm: stage, cheque size, sector fit, and what the firm specifically brings. If they lead $30m growth rounds, do not pitch a pre-seed. This beat is what separates a prepared candidate from someone reciting a favourite company.
    5. Beat five, the bear case and the price. Name the two things that would kill it, say what you would diligence first, and give a valuation view — what you would pay and why. A pitch with no price is not an investment recommendation.
    6. Then the return maths, briefly, because it is what they will ask: what has to be true for this to be a 10x. If you cannot get to a fund-returning outcome, say so and explain why it is still interesting, or pick a different company.

    Where candidates lose it

    Pitching a company already in their portfolio, or a household name where you have no edge. Check the portfolio page first. The second trap is describing the product for two minutes and never giving an investment view: no price, no bear case, no return maths. And pick something checkable — if you claim a revenue figure, know where it came from, because they will ask.

    Expect next

    • What would you pay for it, and what would you not pay?
    • What is the strongest argument against this investment?
    • What would you diligence first, and who would you call?

    Reported by candidates at Insight Partners (Software, New York, 2022); Insight Partners (Leveraged Buyouts, New York, 2023); General Atlantic (Growth Equity, New York, 2022); General Atlantic (Growth Equity, New York, 2021); Silver Lake (Technology, Media and Telecom, San Francisco, 2022). Source: Wall Street Oasis.

  2. 082What do you think about this portfolio company?Sector theses and marketsHardsuperdayInsight PartnersGeneralist · New York · 2025Battery VenturesVenture Capital · Boston · 2019

    Say this

    Give a real assessment with a view, not a compliment. Say what you think the original thesis was, what evidence you can see about whether it is working, the one risk you would watch, and what you would want to know that you cannot see from outside. Flattery is the wrong answer and so is dismissal.

    Then walk it

    1. Reconstruct the thesis first: at the stage they invested, what must they have believed? That framing shows you can think like an investor rather than a customer, and it gives you something concrete to test.
    2. Then the observable evidence. Hiring trend and which functions they are hiring into, pricing page changes, customer logos on the website, review volume, app rankings, whether they have raised since and at what reported price. All public, all checkable.
    3. Then a view with a number attached where you can: my guess is they are somewhere between $20m and $40m of ARR based on headcount and the segment, growing well but slowing, and the interesting question is whether they can move upmarket before the incumbent bundles the feature.
    4. Then the risk. Pick one and make it specific — a competitor bundling, a channel dependency, a regulatory change, customer concentration. One well-argued risk is worth more than five generic ones.
    5. Then the question you cannot answer from outside, which is the most useful thing you can offer: 'what I would really want to see is net retention in the sub-$25k cohort, because everything about the pricing page suggests they moved upmarket and I cannot tell whether they kept the long tail or shed it.'
    6. And keep it genuinely respectful. These are their companies and the founders are their relationships. Critical is fine, dismissive is disqualifying, and there is a real difference between 'here is the risk I would watch' and 'I don't think this works'.

    Where candidates lose it

    Praising it, which shows nothing, or trashing it, which shows no judgement about the room you are in. Also: do not guess the numbers if you have not looked. This question rewards half an hour of preparation on three or four of their most prominent companies, and the candidates who do it are immediately obvious.

    Expect next

    • Would you have invested at the last round price?
    • Which company in our portfolio would you not have done?
    • What would you want to diligence about it?

    Reported by candidates at Insight Partners (Generalist, New York, 2025); Battery Ventures (Venture Capital, Boston, 2019). Source: Wall Street Oasis.

  3. 083What is the worst investment this firm has made, and why?Sector theses and marketsHardsuperdayBessemer Venture PartnersGrowth Equity · New York · 2014

    Say this

    Pick a publicly known writedown, explain the thesis that must have made sense at the time, and then say what turned out to be wrong. The point is to analyse a decision under uncertainty, not to score a point. Answer with respect and with a lesson, and do not pretend the firm has never lost money.

    Then walk it

    1. Choose a company that has been publicly reported as shut down, sold below the last round, or written down. Never speculate about a live portfolio company's trouble — that is a bad-judgement signal about discretion, and the room will notice.
    2. Then be generous about the original thesis. Reconstruct why it was a reasonable decision with the information available. Investors respect someone who can see the case for a decision that went wrong, because that is the position they are in every week.
    3. Then the specific failure mode, and pick one: the market was smaller than underwritten, the unit economics never worked at scale, capital intensity was misjudged, the moat was a feature, or a regulatory assumption failed. Naming the category is what makes it analysis.
    4. Then the generalisable lesson, which is the whole reason the question exists: something like 'the pattern seems to be paying a growth multiple for revenue that was bought rather than earned, and the tell was a burn multiple above 3 that got explained as investment'.
    5. Some firms have literally institutionalised this — Bessemer publishes an anti-portfolio of the great companies it missed, which is a direct invitation to have this conversation intelligently. Knowing that a firm does this, and referencing it, is a strong signal you have done real preparation.
    6. And a light touch on tone: this is a test of whether you can disagree with the people interviewing you without being either sycophantic or rude. Say the analysis, offer the lesson, and do not moralise about their judgement.

    Where candidates lose it

    Two opposite failures. One, refusing to answer — 'I'm sure they were all well considered' — which reads as either no preparation or no spine. Two, being gleeful about a loss, or speculating about a live company that is visibly struggling. Pick something publicly resolved, be generous about the original thesis, and land on a lesson.

    Expect next

    • What would you have done differently at the time?
    • What is the most common way investors get a thesis wrong?
    • Which of our investments do you most admire, and why?

    Reported by candidates at Bessemer Venture Partners (Growth Equity, New York, 2014). Source: Wall Street Oasis.

  4. 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.

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.

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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.

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