The checklist
This interactive tool is in development.
How investors actually use a data room
Most investors open three things first, the cap table, the historical financials, and the current round terms. Everything else gets read once those three reconcile.
The ordering matters because it shows where preparation pays. A polished product roadmap fails to compensate for a cap table refusing to match Companies House.
Inconsistency causes the most common delay. The problem is rarely a missing document. The problem is a number saying one thing in the deck and another in the spreadsheet. Investors read the discrepancy as weak grip on the numbers rather than dishonesty, which damages confidence just as effectively.
What a Seed data room needs
At Seed, investors expect gaps. The diligence examines the team and the opportunity, with documents serving as a sanity check.
| Group | Docs | What investors are checking |
|---|---|---|
| Corporate and legal | 6 | Clean structure, no surprises in the constitution |
| Cap table and funding | 5 | Who owns what, fully diluted, including SAFEs and options |
| Financials | 7 | Whether the numbers match the pitch deck |
| Product and market | 6 | Whether the opportunity is real and understood |
| Team and IP | 4 | Who is committed, and whether the company owns what it built |
| Traction evidence | 3 | Whether anyone actually wants the product |
Unnecessary at Seed. Audited accounts, detailed cohort analysis, formal board minutes, and an HR policy suite. Including them signals inexperience more than thoroughness.
What a Series A data room needs
At Series A the burden shifts from potential to evidence. The diligence asks whether the business works, rather than whether it could.
| Added at Series A | Why |
|---|---|
| 24+ months monthly financials | Trend matters more than a snapshot |
| Cohort retention and churn, with definitions | Definitions get checked, and inconsistent ones are a red flag |
| Unit economics with workings | CAC, LTV and payback, showing the calculation rather than the conclusion |
| Revenue by customer and segment | Concentration risk becomes visible |
| Signed contracts for material revenue | Verbal agreements fail diligence |
| Board minutes and resolutions | Governance maturity |
| Litigation and contingent liabilities | Surprises kill deals late |
| GDPR and data-processing documentation | Increasingly a gating item in the UK |
The Series A difference. At Seed, absence is forgivable. At Series A, absence is a finding.
How long does preparing a data room take
A Seed data room takes two to five working days to assemble properly. A Series A data room takes two to four weeks, mostly because the financial detail and signed contracts need gathering from several places.
Preparation should start before the raise, rather than during it. Assembling a data room while running investor meetings creates the inconsistencies causing delay, since documents get produced under time pressure and stop matching each other.
Frequently asked questions
An investor data room should contain corporate and legal documents, a fully diluted cap table, financials and a financial model, product and market evidence, team and IP documentation, and traction evidence. Seed rounds need around 31 documents. Series A rounds need around 47.
A Seed data room proves the team and the opportunity are credible, and gaps are acceptable. A Series A data room proves the business works, requiring 24+ months of monthly financials, cohort retention, unit economics with workings, and signed contracts for material revenue. At Seed a gap is forgivable. At Series A a gap is a finding.
A Seed data room takes two to five working days. A Series A data room takes two to four weeks. Starting before the raise avoids the inconsistencies caused by assembling documents under time pressure.
Most Seed rounds run fine on a well-organised Google Drive or Dropbox folder. Investors care about finding documents rather than the software. Move to a dedicated platform once access logs matter, since knowing who opened what is real signal during a raise.
Four things, in order of frequency. Numbers disagreeing across documents. A data room assembled once and never updated. Aggressive permissions on routine files. A folder of documents with no index explaining what is there.
Yes, name them and explain why. "No audited accounts, we are pre-audit at this stage" closes a question. Silence leaves it open, and investors fill silence with the least favourable assumption.
Next step
Preparing to raise? Book a strategy session with Lucy Colson to pressure-test the raise before investors do.
The AI Diligence Tool answers investor questions directly from an approved data room, so routine follow-ups stop landing in the founder's inbox.