The investment memo that gets approved at committee represents the tip of a research iceberg: the thesis development that preceded it, the diligence that tested it, the reference calls that refined it, the competitive analysis that contextualized it. The research-to-output workflow for VCs is the process that converts market observation, founder conversations, and diligence findings into investment decisions with a defensible rationale.
The research-to-output workflow for venture capitalists covers five major cycles: investment thesis development, initial company evaluation, deep diligence, investment committee memos, and portfolio company board preparation. Each cycle takes inputs from research and produces outputs that either drive investment decisions or enable portfolio company support.
Cycle 1: Investment Thesis Development
Investment theses are not simply beliefs about what's investable — they're structured positions about market dynamics, technology trajectories, and founder landscape that guide where a firm deploys time, develops relationships, and ultimately places capital.
The thesis development structure:
INVESTMENT THESIS — [Sector/Category, Date]
THESIS STATEMENT:
What we believe: [Clear, falsifiable statement of our investment position]
MARKET CONTEXT:
What's happening in this market: [The dynamics that create the opportunity]
Why now: [What's changed that makes this the right time]
Sources: [How we know this — primary research + reports + portfolio intelligence]
Date: [When this market intelligence was gathered — currency matters]
TECHNOLOGY DYNAMICS:
What technology trends underlie this opportunity: [The tech stack that enables the market]
What's the technology risk: [What could undermine the opportunity]
COMPETITIVE LANDSCAPE:
How the market is structured today: [Who's doing what + where value accrues]
What's the competitive insight: [What the market structure reveals about opportunity]
Last updated: [Date — landscape changes]
FOUNDER LANDSCAPE:
Who's building in this space: [Founders we've seen + their approaches]
What differentiated founder we're looking for: [The specific founder profile]
INVESTMENT CRITERIA:
What we're looking for: [The specific criteria for companies in this thesis]
What we're NOT looking for: [Explicit exclusions]
Stage preference: [Where in the company lifecycle we invest]
KEY ASSUMPTIONS:
This thesis assumes: [What must be true for this to be a good investment area]
What would falsify this thesis: [Evidence that would make us reconsider this thesis]
THESIS CONFIDENCE:
Current conviction level: [High / Medium / Exploring]
What would increase conviction: [What we need to learn to become more confident]
VERSION HISTORY:
[Date]: [Original thesis + what it was]
[Date]: [What changed + why]
Current: [Current thesis]
The falsification criteria — what would make us reconsider this thesis — is what distinguishes a thesis from a belief. A thesis with explicit falsification criteria gets updated when the market changes; a belief persists regardless of evidence.
Cycle 2: Initial Company Evaluation
The first evaluation of a company — typically a first meeting or deck review — produces a quick assessment that determines whether to proceed to deeper diligence. The research output from initial evaluation is a structured first pass.
INITIAL COMPANY EVALUATION — [Company, Date]
SOURCE: [How this company came to us]
SECTOR FIT: [ ] Strong fit [ ] Moderate fit [ ] Weak fit [ ] Pass on fit alone
COMPANY OVERVIEW:
What they do: [Clear statement of the product and market]
Stage: [Current funding stage + ARR/traction]
Founders: [Who + relevant background]
THESIS FIT:
Does this fit our investment thesis: [ ] Yes [ ] Partial [ ] No
How: [Specific connection to thesis]
Thesis gaps or stretches: [Where it doesn't fully fit + whether that's okay]
INITIAL MARKET ASSESSMENT:
Market size: [Is this a large enough market?]
Market dynamics: [Does the market support venture returns?]
Competition: [Initial competitive context]
INITIAL TEAM ASSESSMENT:
Why these founders for this problem: [Domain expertise, prior experience, founder-market fit]
Concerns: [Any early concerns about the team]
PRODUCT/TRACTION:
What's the evidence of product-market fit (or path to it): [What traction exists]
What's compelling: [The most interesting signal]
What's unclear: [The biggest open question]
INITIAL RISKS:
The most significant risk: [What concerns us most at this stage]
DECISION:
Decision: [ ] Proceed to deep diligence [ ] Pass [ ] Watchlist [ ] Need more info
Next step: [Specific action if proceeding]
Pass reason (if passing): [Specific reason — not generic]
Watchlist criteria (if watchlisting): [What would make this investable]
Cycle 3: Deep Diligence
Deep diligence is the structured process of testing an investment thesis against the specific company — the customers, the technology, the market, the team, and the financial model.
DEEP DILIGENCE — [Company, Date]
DILIGENCE THESIS:
What we're trying to confirm or disconfirm: [The specific investment hypothesis we're testing]
CUSTOMER DILIGENCE:
Customers interviewed: [Number + segments represented]
Customer intelligence gathered:
Is the product solving a real problem? [Evidence + strength]
How painful is this problem without the product? [Evidence]
Why did they choose this product vs. alternatives? [Decision factors]
What are they most likely to churn over? [Retention risk intelligence]
Net Promoter: [Would they recommend? To whom?]
Key customer insight: [The most important thing customers told us]
Concern from customer calls: [The most significant concern that emerged]
MARKET DILIGENCE:
Market size research: [Source + methodology + date]
Competitive landscape: [Who's competing + their approach + where they're stronger/weaker]
Market timing assessment: [Why now is right or early or late]
Market intelligence sources:
Analyst reports: [Which + date + key takeaway]
Expert interviews: [Who + date + key insight]
Primary research: [What we looked at directly]
TECHNOLOGY DILIGENCE:
Technical assessment: [What engineering evaluation revealed]
Technical differentiation: [What's genuinely hard to replicate]
Technical risks: [What could be problematic]
TEAM DILIGENCE:
Reference calls: [Number conducted + who]
Reference intelligence:
What references say about [Founder 1]: [Strengths + concerns]
What references say about [Founder 2]: [Strengths + concerns]
Team gaps: [Where the team is thin relative to what the company needs]
FINANCIAL DILIGENCE:
Unit economics: [LTV/CAC + payback period + at what scale]
Revenue quality: [Recurring vs. one-time + customer concentration]
Burn and runway: [Monthly burn + runway at current rate]
Path to profitability: [What it takes to reach breakeven]
INVESTMENT THESIS TEST:
What diligence confirmed about the thesis: [Evidence supporting investment]
What diligence challenged about the thesis: [Evidence against or questions raised]
What remains uncertain: [What we couldn't fully assess]
DECISION RECOMMENDATION:
Recommendation: [ ] Invest [ ] Pass [ ] Invest with conditions [ ] Need more time
Investment thesis: [The specific reason to invest if recommending]
Key concerns: [What we're taking risk on]
Mitigants: [Why we think the risks are acceptable]
Cycle 4: Investment Committee Memo
The investment committee memo converts the diligence findings into the document that drives the investment decision discussion.
INVESTMENT COMMITTEE MEMO — [Company, Date]
INVESTMENT RECOMMENDATION: [Invest / Pass / Conditional invest]
COMPANY OVERVIEW:
What they do: [Clear two-sentence description]
Stage: [Current stage + round being evaluated]
Investment amount: [Our proposed investment + lead vs. follow]
Valuation: [Pre-money valuation + our ownership]
WHY WE'RE EXCITED:
[The most compelling 3-4 reasons this is a good investment]
INVESTMENT THESIS:
Market: [The market opportunity + why now]
Product: [The product insight + why it wins]
Team: [Why these founders for this problem]
WHAT WE LEARNED IN DILIGENCE:
Confirmed: [What diligence validated]
Concerns raised: [What diligence surfaced as a concern]
Remains uncertain: [What we don't know going in]
RISKS AND MITIGANTS:
[Risk 1]: [Mitigant]
[Risk 2]: [Mitigant]
[Risk 3]: [Mitigant]
COMPETITIVE DYNAMICS:
Competition: [Who the real competition is]
Why this company wins: [Specific differentiation]
EXIT SCENARIOS:
Natural acquirers: [Who would likely acquire and why]
IPO path: [Is this a standalone public company candidate]
Return scenarios: [Rough return analysis at expected and downside scenarios]
WHAT WE'RE WATCHING:
Key milestones: [What the company needs to achieve to validate the thesis]
Inflection points: [What should change our view — positively or negatively]
Cycle 5: Portfolio Board Preparation
Board meeting preparation converts ongoing portfolio monitoring into organized context for productive board engagement.
BOARD PREP — [Company, Date of Board Meeting]
CONTEXT SINCE LAST BOARD:
Key developments: [What's happened at the company since the last board meeting]
Competitive developments: [What's changed in their competitive landscape — with dates]
Industry developments: [What's happened in their sector that's relevant]
METRICS REVIEW:
Key metrics vs. plan: [Are they ahead / on track / behind on key metrics]
Trend: [Is trajectory improving, stable, or deteriorating]
PREPARED QUESTIONS:
[ ] [Question about metric or strategy]
[ ] [Question about team or operations]
[ ] [Question about competitive dynamics]
SUPPORT TO PROVIDE:
Introductions needed: [Who the company needs to meet + who I can connect them to]
Resources needed: [What other help the company needs]
DECISIONS TO MAKE:
[ ] [Decision requiring board approval or discussion]
[ ] [...]
Key Takeaways
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The VC research-to-output workflow covers five cycles. Investment thesis development (structured position with falsification criteria + version history); initial company evaluation (quick structured pass/proceed assessment); deep diligence (customer + market + technology + team + financial assessment); investment committee memos (synthesis of diligence into decision document); portfolio board preparation (pre-meeting context processing for productive engagement).
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Investment theses require explicit falsification criteria. A thesis with documented "what would falsify this" criteria gets updated when the market changes; a thesis without them persists regardless of evidence. The falsification criteria are what make a thesis a testable proposition rather than a persistent belief.
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Deep diligence must document what was disconfirmed, not just confirmed. The diligence memo that only reports evidence supporting investment is not diligence — it's confirmation. Explicitly documenting what diligence challenged about the thesis is the intellectual discipline that distinguishes rigorous diligence from motivated reasoning.
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Thesis version history captures the investment learning. Investment firms that update their thesis without recording what changed and why lose the learning. The version history — what we used to believe, what changed it, and why — is more valuable than just the current thesis.
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Portfolio board preparation is the practice that makes board engagement valuable. The board member who arrives at a meeting without having processed the competitive context, prepared questions, and identified support to provide consumes meeting time on context transfer. The sixty minutes of pre-board prep is what makes the board meeting hours productive for both the investor and the portfolio company.
Conclusion
The research-to-output workflow for venture capitalists links market intelligence, founder assessment, and customer diligence to investment decisions through structured cycles: investment thesis development with explicit falsification criteria and version history; initial company evaluation with a structured pass/proceed framework; deep diligence that explicitly documents both confirmations and challenges; investment committee memos that synthesize diligence into decision documents; and portfolio board preparation that converts ongoing monitoring into productive board engagement. The documentation of research behind each investment decision creates the institutional record that makes investment pattern recognition cumulative rather than requiring each decision to be reasoned from scratch.
See also: Web Clipping for Research Papers.