What is VC readiness?

VC readiness means being ready for a serious review: clear metrics, understandable unit economics, an organized data room, and known risks with mitigation.

What is a data room and what should it include?

A data room is an organized folder with evidence: legal, financials, traction, product, and risks. Minimum: simple cap table, key contracts, P&L/burn/runway, cohorts or funnel, and a roadmap with measurable milestones.

Which KPIs are essential for SaaS/AI?

Activation, cohort retention, growth (MoM), ARPA or revenue, gross margin, CAC (if paid acquisition), and sales cycle (if B2B).

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VC Readiness — get due diligence-ready without chaos

Q: Do I need revenue to be ready?

Not always. But you do need signals: real usage, early retention, or validated demand (pilots/POCs) plus a clear acquisition plan.

Put your metrics, documents, and narrative in order so an investor says: “ok, let’s continue.” Practical checklist, scorecard, and a minimum viable data room.

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Quick answer: VC readiness means you can back up four things with evidence: real traction, business economics, controlled risks, and repeatable execution.

VC Readiness Scorecard (what gets evaluated)

1) Narrative

Problem, ICP, wedge, why now, why you.

2) Traction

Cohorts/retention, growth, pipeline (if B2B).

3) Economics

Margin, CAC, payback, LTV/proxy.

4) GTM

Primary channel, funnel, repeatable process.

5) Ops & risk

Legal, basic security, IP, critical dependencies.

6) Milestones

Roadmap with 2–3 measurable milestones per quarter.

Minimum viable data room (folders + docs)

Legal

Simple cap table
Incorporation/corporate documents
Key contracts (customers/partners)

Financials

Basic P&L (last 3–6 months if available)
Burn and runway (clear)
Pricing + cost structure

Traction / Commercial

Cohort retention (or funnel if no cohorts)
KPIs: activation, growth, ARPA/revenue
Pipeline and conversions (if B2B)

Product / Security

Roadmap (3 measurable milestones)
High-level architecture (one page)
Basics: access control, backups, roles

Unit economics without making things up

No mature LTV yet: use a proxy (ARPA × observed retention) and state assumptions.
CAC: separate paid vs organic (and how you estimate each).
Payback: time to recover CAC (if applicable).
Margin: define gross margin and why it matters.

12 hard questions (you will get asked)

Who is your real ICP and how did you validate it?
What is your cohort retention?
Which acquisition channel works best and why?
What’s your key funnel conversion rate?
What beats the “in-house/Excel/agency” alternative?
What is your gross margin now and in 12 months?
How do you estimate CAC at this stage?
What could kill you in the next 90 days?
What critical dependencies do you have (person/vendor/channel)?
What milestones will the raise achieve, and by when?
What evidence of demand do you have (users/pilots/revenue)?
What would let you grow 3× without doubling cost?

FAQs

What is a data room?
An organized folder with evidence: legal, financials, traction, product, and risks.

Do I need revenue to be ready?
Not always, but you do need clear demand/retention signals and an acquisition plan.

How long does VC readiness take?
3–21 days, depending on how organized and measured you already are.

Which KPIs are essential?
Activation, cohort retention, growth, margin, CAC (if paid), and sales cycle (B2B).

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Disclaimer: educational content only. Not financial/legal advice.