A VC fund investing $5M–$10M in early-stage startups was tired of diligence reports that focused only on the numbers — it needed a partner who understood how startups actually fail.
$5–10M
check sizes supported
Red flags
caught that standard diligence misses
WHAT WE DID
Assessed team dynamics and product-market fit alongside the financials
Applied startup operating experience to spot non-obvious risks
Focused on the scalability of each business model
WHAT CHANGED
Smarter investment decisions, pitfalls avoided
Practical, actionable insights instead of number dumps
More successful closes for the fund
The situation
A VC fund investing $5M–$10M in early-stage startups was tired of diligence reports that focused only on the numbers. It needed a partner who understood how startups actually fail.
At early stage, the financial statements are thin by definition. A company with limited operating history offers little to analyze in the conventional sense, which means diligence that confines itself to the numbers examines the least informative part of the business.
How startups fail is rarely a financial event in the first instance. It is a team that fractures, a product that finds no durable demand, or a model that works at small scale and does not survive being multiplied.
What we did
Assessed team dynamics and product-market fit alongside the financials. Alongside rather than instead. The financials still matter; they are simply insufficient on their own at this stage.
Applied startup operating experience to spot non-obvious risks. Operating experience is what distinguishes risks that look serious from those that are. Someone who has run a company recognizes which problems are normal for the stage and which are structural.
Focused on the scalability of each business model. Early traction can be produced by effort that does not multiply — a founder personally closing every deal is real revenue and not yet a repeatable model.
What changed
The fund was supported across $5M–$10M check sizes, with red flags caught that standard diligence misses.
Investment decisions improved and pitfalls were avoided. The fund received practical, actionable insights instead of number dumps. And it closed more successfully.
The last outcome matters as much as the risk avoidance. Diligence that only identifies reasons to decline is easy to produce and of limited value to a fund whose business is deploying capital. Useful diligence distinguishes the risks worth pricing from those worth walking away from.
What this means for early-stage investors
The financial section of an early-stage diligence report is the easiest part to produce and the least predictive. It reliably describes what has happened at a company where very little has happened yet.
The predictive questions are operational: does this team function under pressure, does the demand recur without being manufactured, and does the model still work at ten times the size. None is answered by the ledger.
That is an argument for diligence conducted by people who have operated rather than only analyzed. Recognizing which problems are survivable at seed stage is pattern recognition, and it comes from having lived through the patterns.