Buyers and investors don't walk away from deals because they found a bad number. They walk away — or worse, they stay and cut the price — because they found a number they couldn't explain, sitting next to a financial story that didn't hold together. Two Traverse CFOs who sit on opposite sides of that dynamic, one preparing companies to be bought and one preparing companies to raise, on what actually determines how diligence goes.
The Documents That Actually Move a Deal
Most founders assume diligence is primarily about the size of the numbers. In practice, it's about the coherence of the story. A buyer's team is trying to build confidence that the business they're underwriting is the business they're actually going to own — and every document in the data room either builds that confidence or chips away at it.
As in our case study on healthcare sale readiness, the work that moved the deal wasn't a single impressive metric — it was a data room organized well enough, and a quality-of-earnings story clear enough, that the buyer's diligence team stopped finding new questions and started finding confirmation.
- Explain every adjustment, don't just list it. A quality-of-earnings schedule full of add-backs with no narrative invites scrutiny. One with a clear explanation for each adjustment — and a conservative hand on which ones are included — builds credibility instead.
- Reconcile historicals to the bank, not just the books. Financials that tie cleanly to actual bank statements signal a level of control that a buyer's team notices immediately, and one that's rarer than most founders expect.
- Surface customer concentration and contract terms yourself. If a buyer discovers a customer concentration risk or an unfavorable contract term on their own, it reads as something you hid. If you disclose it plainly with context, it reads as something you understand and have already priced in.
None of this changes the underlying numbers. What it changes is how much the buyer trusts them — and trust is what keeps a deal moving at the pace and price the seller wants.
Metrics That Survive Buy-Side Scrutiny
On the capital-raise side, the failure mode looks different but comes from the same root cause: metrics that were never standardized enough to survive being asked the same question twice. A founder who quotes net revenue retention one way in the deck and a slightly different way when an investor asks a follow-up question doesn't just lose a debate — they lose the investor's confidence in every other number in the model.
Investors aren't primarily testing whether your growth is real. They're testing whether your finance function can be trusted to report it consistently after the check clears. The data room is the audition for that ongoing relationship.
In our case study on a Series B raise, the turning point wasn't a stronger growth number — it was standardizing net revenue retention, CAC, and LTV to a defensible, consistently applied methodology, then holding to that definition under every follow-up question in diligence. That consistency is what let the round move from six weeks of diligence to a signed term sheet, rather than stalling in a loop of re-explained metrics.
For founders preparing to raise, the work to do before the data room opens isn't polishing the pitch — it's picking a metric definition, documenting it, and making sure the person answering investor questions six weeks from now gives the exact same answer as the deck.