How to read a technical due diligence report

A technical due diligence report lands three days before the investment committee, runs thirty to sixty pages, and is read by people who may not have written code in twenty years, or ever. That is by design. The report is written for you, the investor, and a good one does not require a technical background to act on. It does require knowing where the decision lives inside the document.

After writing these reports for funds and watching how committees use them, we can tell you where readers go wrong. They read the technical due diligence report front to back like a novel, give every finding equal weight, and leave the meeting remembering the most colorful detail rather than the most expensive one. Here is how to read one properly.

What a technical due diligence report must answer

An executive summary that earns its place answers three questions on the first page. Can the product do what the sales deck and the business plan claim? Can this team build what the roadmap requires? And what will it cost, in money and months, to fix what is broken? Everything else in the report is evidence for those three answers.

If the summary you received does not answer them, that is your first question back to the provider. Reports that open with methodology and tooling inventories instead of conclusions are hiding either a rushed job or a reluctance to commit.

How the scorecard works

Most reports include a scorecard: six to ten areas, typically architecture, code quality, security, scalability, data, team, and AI practice, the same sections as the underlying checklist, each scored on a scale. Two rules for reading it.

First, scores are relative to stage and thesis, never absolute grades. A low scalability score at a seed-stage company with forty customers is normal and close to meaningless. The same score at a target selling enterprise contracts with uptime commitments is a finding with a price tag. The question is whether the system holds the plan you are underwriting, which is a different question from whether the code is good.

Second, read the spread rather than the average. A profile of straight threes describes a different company from fives everywhere and a single one in security, even when the mean is identical. Committees tend to anchor on the average, and deals tend to die on the outlier.

Severity is money and time, or it is noise

A finding marked critical should translate into euros and weeks: what it costs to fix, how long the fix takes, and what happens if nobody fixes it. When we rank a risk register by severity, the ranking encodes that translation. Critical means it threatens the investment thesis or business continuity within the holding period. High means fund it and fix it in the first year, and price that work now. Medium and low belong on the management team’s agenda rather than on the IC’s.

If the report you are holding assigns severities without fix estimates, send it back. "Severe but unquantified" is nothing you can negotiate with. Pricing technical debt into the deal is its own discipline, and it starts from those estimates.

Negotiation points versus deal breakers

Most findings, including most critical ones, are negotiation material rather than reasons to walk. Technical debt with a credible price becomes a price adjustment or an escrow. A missing compliance artifact becomes a condition precedent. Key person concentration becomes a retention package. The report gives you the list and the amounts; the deal team does the rest.

Genuine deal breakers are rarer and more specific: the product demonstrably cannot do what was claimed, there is data or license exposure that no budget remediates cleanly, or the gap between the roadmap and the team’s demonstrated capability cannot be closed by hiring. We keep a separate note on the red flags that matter, and it is deliberately short.

Five questions to ask your DD provider

The written report is half the value. The read-out call is the other half, and it is where a non-technical reader extracts the most. Ask these:

1. What did you not get to see, and does that worry you?
2. If you had one more week, what would you spend it on?
3. If you were spending the company’s own money, which finding would you fix first?
4. Did the session with the CTO change your view of anything in the data room?
5. Where does your account differ from what management told us directly?

The answers tell you how much confidence sits behind the scores, which no scorecard can encode. A provider who answers crisply has done the work. One who retreats into hedged language has handed you a document rather than an opinion.

Read this way, the report stops being a hurdle before signing and becomes the first draft of your ownership plan: the findings you negotiated over turn into the backbone of the first hundred days after close. And if the reports you receive today do not survive this kind of reading, that is a scoping conversation to have before the next deal. It is also, plainly, how we build ours: our technical and AI due diligence ships with an executive summary that commits, a scorecard read against the thesis, and a risk register priced in money and time.