kimo
GuideIntermediate16 minBI

Prepare your data room for a fundraise

A fundraising data room is a structured, access-controlled folder of the documents and data investors need to verify your story: corporate records, financial statements, a metrics pack with written definitions, key contracts, product and security material, and people documents. Prepare it before you start the round, and make sure every number in it reconciles with your deck, your ledger and your bank.

Maya Lindqvist · Co-founder & CEO
16 min read

At a glance

Level
Intermediate
Time
16 min

Prerequisites

  • Closed monthly books for at least the trailing 12 months
  • An up-to-date cap table and option ledger from your counsel
  • Billing, ledger and CRM data accessible (directly or through Kimo)
  • Written metric definitions, or a plan to write them this week

You will end up with

A seven-folder data room with a reproducible metrics pack, seven passing reconciliation checks and staged access controls, ready before your first investor meeting.

Founders often treat the data room as a legal formality that starts after the term sheet. In practice, it is the place where investors test whether the numbers in your deck are real, consistently defined and repeatable. A clean room shortens diligence and signals operational maturity; a messy one creates the follow-up questions that slow a process down at the worst moment.

Y Combinator’s Series A guidance, summarized by TechCrunch, put it bluntly: a diligence request can sink a round. Its example was a request for a month-by-month breakdown of major customers, and its advice was to ask what the investor is trying to learn and to prepare the relevant customers before reference calls.1 The same report noted that founders meet about 30 investors on average to produce one term sheet,1 so you will answer the same questions many times. A data room lets you answer them once.

01 —

What do investors ask for in due diligence?

Requests cluster into a predictable set. Law-firm checklists such as Cooley GO’s sample VC due diligence request list exist precisely so founders can see what investors will look for before they close, and organize corporate and legal records in advance.2 Financial and metrics requests vary more by investor and stage, which is why they cause most of the back-and-forth.

AreaWhat diligence verifiesTypical requests
Corporate and legalThe company exists, is owned as stated and can issue the sharesCharter and bylaws, board and stockholder minutes and consents, cap table, option ledger, prior financing documents
FinancialHistorical performance and the plan are credibleAnnual and monthly financial statements, budget vs. actual, financial model, tax filings
MetricsThe KPIs in the deck are defined and reproducibleARR and MRR bridge, retention cohorts, unit economics, customer-level revenue export
CommercialRevenue is real, contracted and not overly concentratedTop customer contracts, pricing, pipeline, churned customer list, references
Product and securityThe product works as described and is safe to scaleArchitecture overview, security policies, incident history, IP assignments, open-source usage
PeopleThe team can execute and is properly contractedOrg chart, key employment and contractor agreements, equity plan
Board materialsGovernance is functioningPast board decks and minutes, investor updates
The seven areas of a fundraising data room and what each one proves.
02 —

When should you build the data room?

Before you start meeting investors. A practical sequence is: corporate and financial folders four to six weeks before launch (they depend on your accountant and counsel), the metrics pack two to three weeks before (it depends on clean definitions), and commercial and people folders in parallel. Share in stages: a light “teaser” room with the deck and headline metrics during first meetings, the full room after a partner meeting or term sheet.

03 —

A data-room structure that works

Number the folders so they sort in the same order for everyone, and keep a one-page index at the top that lists every document, its date, its owner and its access level.

data-room/ folder tree
bash
00_Index_and_ReadMe.pdf
01_Corporate/
    Charter_and_Bylaws/  Board_Minutes_and_Consents/  Cap_Table/  Prior_Financings/
02_Financials/
    Statements_Annual/  Statements_Monthly_TTM/  Budget_vs_Actual/  Financial_Model/  Tax/
03_Metrics/
    Metric_Definitions.pdf  ARR_MRR_Bridge.xlsx  Retention_Cohorts.xlsx
    Customer_Level_ARR_anonymized.csv  Unit_Economics.xlsx  Reconciliations.pdf
04_Commercial/
    Top_Customer_Contracts/  Pricing/  Pipeline_Snapshot/  Churned_Customers/
05_Product_and_Security/
    Architecture.pdf  Security_Policies/  Incident_Log/  IP_Assignments/  OSS_Inventory/
06_People/
    Org_Chart.pdf  Key_Agreements/  Equity_Plan/
07_Board/
    Board_Decks/  Investor_Updates/
04 —

The metrics pack: what goes in 03_Metrics

This is the folder investors open first and the one that most often reveals problems. Charts are not enough: an analyst will want to rebuild your ARR and retention from customer-level data and get the same answer. Give them what they need to succeed.

  1. Metric definitions. One page per metric: formula, inclusions, exclusions, source system, owner and change history. Use SaaS metrics, defined once as the template. Andreessen Horowitz’s point that ARR excludes one-time and professional services fees, and that bookings are not revenue, belongs in this document explicitly.3
  2. ARR and MRR bridge. Monthly, for at least 24 months (or since launch): starting MRR, new, expansion, contraction, churn, ending MRR.
  3. Retention cohorts. Revenue and logo retention by monthly or quarterly cohort, plus net and gross revenue retention on a trailing-12-month basis. See cohort analysis.
  4. Customer-level ARR export. One row per customer per month with an anonymized ID, segment, plan, region, start date and MRR. This is what lets an analyst reproduce every chart.
  5. Unit economics. Gross margin, CAC payback, LTV:CAC, burn multiple and runway, each with the variant you use stated.
  6. Reconciliations. The checks in the next section, signed off with dates.
customer_level_arr_export.sql (anonymized)
sql
-- One row per customer per month; stable pseudonymous ID for diligence.
select
    -- :'salt' is a psql variable: psql -v salt=... (keep it secret)
    'C-' || substr(md5(c.id::text || :'salt'), 1, 10) as customer_ref,
    c.segment,
    c.region,
    c.plan_name,
    date_trunc('month', c.first_paid_at)::date   as first_paid_month,
    m.month_start,
    round(m.mrr, 2)                              as mrr,
    round(12 * m.mrr, 2)                         as arr
from mrr_monthly m
join customers c on c.id = m.customer_id
where m.month_start >= date_trunc('month', current_date) - interval '24 months'
order by customer_ref, m.month_start;
05 —

Which reconciliation checks should you run before sharing?

Every figure that appears in more than one place must agree, or the gap must be explained in writing. The SEC’s guidance for public-company KPIs asks for clear definitions, consistent methods and controls around metrics built from internal data;4 a private-company data room benefits from the same discipline. Run these seven checks and file the results in 03_Metrics/Reconciliations.pdf.

#CheckPass condition
1Deck ARR vs. metrics pack ARRIdentical for every period shown
2Customer-level export sums to total MRRZero difference, every month
3MRR bridge roll-forwardStarting + new + expansion − contraction − churn = ending, every month
4Billing MRR vs. ledger subscription revenueWithin an agreed tolerance; timing differences listed
5CRM closed-won vs. new and expansion MRREvery won deal above a threshold appears in billing; exceptions listed
6Ending cash vs. bank statementsExact match at each month end
7Cap table vs. option ledger and board consentsEvery grant approved; totals match fully diluted count
Seven reconciliation checks to run before any investor sees the room.
Check 4: billing MRR vs. ledger subscription revenue
sql
with billing as (
    select month_start, sum(mrr) as billing_mrr
    from mrr_monthly
    group by month_start
),
ledger as (
    select period_month as month_start, sum(amount) as ledger_sub_revenue
    from ledger_lines
    where account_code in ('4000', '4010')   -- subscription revenue accounts
    group by period_month
)
select
    b.month_start,
    b.billing_mrr,
    l.ledger_sub_revenue,
    round((l.ledger_sub_revenue - b.billing_mrr) / nullif(b.billing_mrr, 0), 4) as gap_pct
from billing b
join ledger l using (month_start)
where abs(l.ledger_sub_revenue - b.billing_mrr) / nullif(b.billing_mrr, 0) > 0.02
order by b.month_start;

A gap between billing MRR and recognized subscription revenue is normal: revenue is recognized as service is delivered under ASC 606,5 while MRR is a point-in-time measure of active subscriptions. Mid-month starts, credit notes and annual invoices create timing differences. What matters is that the gap is small, stable and explained. A sudden widening usually means a classification change in the ledger or a billing data issue.

Billing MRR vs. ledger subscription revenue
  • Billing MRR
  • Ledger subscription revenue
Figure. Illustrative data for a fictional company, $k per month. The gap reflects mid-month starts and credit notes and stays within the 2% tolerance.
06 —

The financials folder: what “good” looks like

Investors will compare your financial statements with the obligations they will receive after closing. Information rights in venture deals commonly include annual statements within 90–180 days of fiscal year end, unaudited quarterly statements within 45 days of quarter end, sometimes monthly statements, and a board-approved budget before the fiscal year starts.6 Showing that you already produce these on that cadence is reassuring.

  • Monthly P&L, balance sheet and cash flow for the trailing 24 months, closed and reviewed.
  • Budget vs. actual for the current and prior year, with variance commentary.
  • A financial model whose starting point ties to the latest closed month exactly.
  • A note on accounting policies that affect metrics: revenue recognition, capitalized costs, COGS classification.
07 —

Which red flags do diligence teams look for?

Experienced analysts look for a handful of patterns that suggest the headline numbers are fragile. None is fatal on its own if it is disclosed and explained; all of them are damaging when an investor finds them first.

Red flagHow it shows upWhat to do before sharing
ARR includes non-recurring revenueServices or setup fees in the ARR exportRemove them and restate; show services revenue separately
Customer concentrationTop customer or top 10 customers hold a large share of ARRShow the trend and the contract terms of the largest accounts
Quarter-end spikesNew MRR clusters in the last week of each quarterExplain the sales motion; show start dates vs. close dates
Blended retention onlyNRR shown without GRR or cohortsAdd GRR and cohort tables; let the data speak
Model does not tie to actualsFinancial model starts from a different number than the latest closeRebase the model on the closed month
Unexplained definition changesLast round’s deck used a different NRR methodDocument the change, the reason and a recast
Common diligence red flags and how to defuse them in advance.
08 —

Preparing customer references

Reference calls are part of diligence at almost every stage from Series A onward. Choose four to six customers that represent your core segment, not only your happiest accounts, and ask their permission early. Brief each one on who may call and roughly when, and keep a shared log so the same customer is not contacted by several funds in one week, which is the coordination problem YC’s guidance highlights.1

  • Mix tenures: one recent customer, one long-tenured, one that expanded, and ideally one that had a rough start you resolved.
  • Give investors context before the call: segment, use case, contract size range.
  • Thank references afterwards and tell them the outcome; you will need them again.
09 —

Access control and hygiene

Before you send the link

  • Every document is dated and the index lists owner and access level.
  • Viewer access is per person, watermarked, logged and set to expire.
  • Download is disabled for sensitive folders (contracts, people) until a term sheet is signed.
  • Customer names are pseudonymized in exports; a mapping is ready for confirmatory diligence.
  • Draft or superseded versions are removed; each folder has one current version.
  • The deck, the metrics pack and the financial model show identical numbers for the same periods.
  • Someone owns answering questions within one business day during the process.
10 —

Generating and refreshing the data room with Kimo

The metrics pack is the part of the room that goes stale fastest: a fundraising process can run for two or three months, and investors will ask for the latest month more than once. In Kimo Business Intelligence, the 03_Metrics folder is generated from the same certified measures as your board deck: definitions export from the semantic layer with their change history, the bridge and cohorts export as spreadsheets, the customer-level file is pseudonymized automatically, and the seven checks run on every refresh with results attached.

  1. Step 1:

    Certify the metric set

    Start from the SaaS metrics template and certify each measure with an owner.

  2. Step 2:

    Create the room

    In Board decks, open Data room, pick the periods and the folders to generate, and choose staged access levels.

  3. Step 3:

    Run the checks

    Kimo runs the seven reconciliation checks and blocks publication of the metrics folder until each one passes or carries a written explanation.

  4. Step 4:

    Refresh monthly

    When a month closes, regenerate. Every version is kept, so you can show an investor exactly what they saw and what changed.

Legal, corporate and people documents stay where your counsel keeps them; Kimo links to them from the index rather than copying them. For the broader routine (board meetings, investor updates and fundraising from one set of definitions), read The Board Pack Playbook.

Sources

6 references
  1. YC just published a 70-page Series A guide so founders don’t tank their own prospects (opens in a new tab)
    TechCrunch2020techcrunch.com

    Diligence requests and reference checks can sink a round; about 30 investor meetings per term sheet.

  2. Sample VC Due Diligence Request List (opens in a new tab)
    Cooley GOcooleygo.com

    What VCs look for before closing a financing.

  3. 16 Startup Metrics (opens in a new tab)
    Andreessen Horowitz2015a16z.com
  4. Commission Guidance on Management’s Discussion and Analysis (Release 33-10751) (opens in a new tab)
    U.S. Securities and Exchange Commission, Federal Register2020govinfo.gov

External sources were accessed at the time of writing. Kimo product details, customers and figures in examples are illustrative unless a source is cited.

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Frequently asked questions

When should I open the data room to investors?

Share a light version (deck and headline metrics) during first meetings and the full room after a partner meeting or term sheet. Build all of it before you start the process.

Should I share customer names in the data room?

Share anonymized customer-level data early and named data after a term sheet, under NDA. Prepare reference customers before calls, and coordinate so many investors do not contact the same customer.

Do I need audited financial statements for a Series A?

Not always. Many early-stage companies provide unaudited statements until later rounds, though investors may request audits. Ask your counsel and accountant what your investors and your stage typically require.

Why does my billing MRR differ from revenue in the accounts?

MRR is a point-in-time measure of active subscriptions; revenue is recognized as service is delivered. Mid-month starts, credit notes and annual invoices create timing differences. Keep the gap small, stable and explained.

How often should the metrics folder be updated during a raise?

Every time a month closes. Keep previous versions so you can show any investor exactly what they reviewed and what changed.

Put it to work

Skip the setup — start from a working version.

Monthly investor update: The one-page monthly update: highlights, KPIs, asks — drafted by Kimo.

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