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Series A Readiness Framework

Assess whether your finance function is ready for Series A fundraising

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A frank assessment of whether your financials are Series A ready — covering MRR growth, NRR, unit economics, burn multiple, financial model quality and data room completeness.

How to Use This Framework

Series A investors conduct rigorous financial due diligence. This framework evaluates the maturity of your financial model, historical financials, unit economics, due diligence readiness, and investor narrative across the five areas that institutional investors scrutinise most intensively during a Series A process.

Score each question: 2 = fully in place, 1 = partially in place, 0 = not in place. The interactive scoring panel below updates in real time. Areas where you score 0 are your immediate remediation priorities — address them before opening conversations with investors, not after they surface in diligence.

Why this matters: The most common reason Series A processes stall is not a weak business — it is a finance function that cannot withstand institutional scrutiny. A driver-based model, clean historical financials, and a clearly articulated unit economics story are the baseline expectation at Series A. This framework tells you where you stand against that baseline.

Assessment

Area 1: Financial Model Quality

Q1. Does your financial model use driver-based assumptions rather than top-down percentage growth rates?

Q2. Does your model include cohort analysis showing revenue, retention and churn behaviour by customer cohort?

Q3. Does your model include at least three scenarios (base, upside, downside) with explicit profitability milestones?

Q4. Is the model auditable, documented, and reviewable by an external adviser without a guided walkthrough?

Area 2: Historical Financials

Q5. Do you have at least 24 months of clean, consistently formatted management accounts available for investor review?

Q6. Are audited statutory accounts filed and available for the last two financial years?

Q7. Is your revenue recognition policy documented, consistently applied, and compliant with IFRS 15 or FRS 102?

Q8. Do you maintain actuals vs budget analysis with written commentary explaining material variances?

Area 3: Unit Economics

Q9. Are CAC, LTV, and payback period defined, calculated from actual data, and tracked monthly?

Q10. Is gross margin calculated by product or segment, with COGS including all direct costs (hosting, support, payment processing)?

Q11. Is churn analysis conducted monthly with root cause identification for churned customers?

Q12. Are NRR and GRR calculated monthly and tracked over at least 12 rolling months?

Area 4: Due Diligence Readiness

Q13. Is a structured data room organised with standard sections and ready to share with investors?

Q14. Is the company's legal and IP position clean, with all IP assigned to the company and no outstanding disputes?

Q15. Is the cap table clean, fully diluted, and up to date including all options, warrants, and convertibles?

Q16. Have all key customer contracts been reviewed for assignment restrictions, change-of-control clauses, and termination rights?

Area 5: Investor Narrative

Q17. Is the metrics story in the investor deck fully consistent with the financial model and management accounts, with no numerical conflicts?

Q18. Are the primary growth drivers (sales capacity, product adoption, market expansion) clearly articulated with supporting evidence?

Q19. Is the path to profitability explicitly modelled, with the specific milestones (ARR, gross margin, headcount) that trigger EBITDA breakeven?

Q20. Have comparable companies been benchmarked on key metrics (growth rate, NRR, gross margin, burn multiple) to contextualise performance?

Your Score
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Priority action: Any area where you score 4 or below out of 8 is a red flag. Institutional investors probe all five of these areas systematically. A single weak area — especially model quality or unit economics — is sufficient to derail a Series A process or materially reduce valuation.

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