Technical due diligence checklist
A technical due diligence checklist sets out what an investor or acquirer will examine in a company's technology, and the evidence management should have ready. Most reviews cover six areas: strategy, product, team, engineering approach, platform and security. The businesses that come through well are the ones that can produce clear, current evidence for each, quickly.
- 1. Strategy
Does the technology plan support the growth the investment case assumes?
Have ready- Roadmap tied to the business plan
- Budget and headcount
- Record of key decisions
- 2. Product
Can the roadmap deliver what the forecast depends on?
Have ready- Roadmap against delivery history
- Customer-specific work
- Usage analytics
- 3. Team
What happens if two key people leave after completion?
Have ready- Organisation chart
- Contractors and what they own
- Who holds critical knowledge
- 4. Approach
Can the team ship change safely and predictably?
Have ready- Delivery process as it runs
- Pipeline and testing
- Incident log and releases
- 5. Platform
Will the platform scale, and what will it cost to maintain?
Have ready- Architecture diagrams
- Hosting cost trend
- Technical debt register
- 6. Security, data and IP
What liabilities would we inherit, and do they own what they are selling?
Have ready- Evidence that controls work
- Pen tests and data records
- IP and licence position
- Evidence only in people's heads
- Management and engineers giving different answers
- Documents written for the deal
I have sat on both sides of the technical due diligence table. For seven years I was CTO of iamproperty, answering the questions. Now, at Stable State, I am usually the one asking them, either for an investor or for a management team getting ready to sell. The same handful of issues come up again and again, so alongside the checklist I have included a few anonymised stories from that work.
How to use this checklist
Technical due diligence is not an exam with a fixed syllabus. Every buyer arrives with its own request list, shaped by the deal, the sector and what worries its investment committee. Underneath that variety, though, the same six questions come up again and again, and this article follows them, using the six areas of the Stable State Technology Readiness Framework.
For each area, the question I ask management teams is not "what will they ask?" but "could we answer it convincingly this afternoon?" Treat "have ready" literally. If producing a document would take a fortnight of engineering time in the middle of a live deal, it is not ready, and the scramble to produce it will be visible to the buyer. Use what follows as a baseline rather than a guarantee of coverage.
1. Strategy
Investors start by asking whether the technology is pointed in the same direction as the business. They want to understand how technology spend and priorities relate to the business plan, and whether the technology roadmap can support the growth the investment case assumes. A plan that promises new markets or products, sitting on a roadmap that says nothing about either, is the kind of disconnect a buyer notices quickly.
They will also look back at the significant decisions that shaped the platform: what was built, what was bought, what was outsourced and why. Increasingly they ask about AI too, and the test is whether the plans are credible, resourced and connected to commercial outcomes rather than included because the board expected to see them.
Management should be able to show a technology strategy or roadmap that visibly connects to the business plan, the technology budget and headcount with actuals and forecast, and a short record of the major decisions of the last two or three years and the reasoning behind them. That record matters more than it sounds. It shows a buyer that decisions were made deliberately, not inherited by accident.
From experience: A B2B software business I assessed had an investment case built around launching in the US within 18 months. Its technology roadmap, which was genuinely good, did not mention the US once: no data residency, no multi-currency billing, no thought about support hours. Nobody had done anything wrong. The board and the engineering team had simply never put the two documents side by side. Fixing the roadmap took an afternoon. A buyer finding it first would have been a much harder conversation.
2. Product
The product review is where the revenue forecast meets reality. A buyer wants to know whether the roadmap can deliver what the forecast depends on, and the most persuasive evidence is not the roadmap itself but how well previous roadmaps were delivered. A team that has consistently shipped what it planned earns belief in its next plan.
Investors also want to understand how product decisions are made and by whom, how well the business understands the way customers actually use the product, and how much of the product is genuinely shared. Customer-specific features, forks and bespoke deployments are common in growing businesses, and they are not fatal, but they change the economics of the platform and buyers will want to see them clearly.
Have the current roadmap ready alongside a candid record of what was delivered against previous ones, a list of customer-specific work, and whatever product and usage analytics the business already relies on.
From experience: One company I worked with described itself as a single multi-tenant SaaS product. When we listed every deployment, there were four versions of the codebase in production, each kept alive for one large customer who had paid for "a small change" years earlier. Those four customers were about a third of revenue and well over half the support effort. None of that was a deal-breaker. Having it on one page, with a plan to consolidate, turned a likely price chip into a growth story.
3. Team
A buyer is not only acquiring a platform. It is acquiring the people who keep that platform running and move it forward, often at the moment those people are considering their own futures. The team review therefore looks at structure, capability and capacity against what the plan will ask of them, at attrition and hiring, and at whether there is a credible layer of leadership beneath the CTO.
The issue that attracts most attention is key person dependency: knowledge, access or responsibility concentrated in one or two individuals. Close behind it is the use of contractors and agencies, and in particular which systems they own and whether anyone in-house understands them.
Management should have an organisation chart showing roles, tenure and employment type, a list of contractors and agencies with the components each is responsible for, and an honest view of who holds critical knowledge and access, together with what is being done about it. We cover this in more depth in key person dependency in technical due diligence.
From experience: I once asked a leadership team a simple question: if your lead developer won the lottery tomorrow, what would stop working? There was a long pause. He was the only person with production database access, the only one who understood the billing integration, and the domain names were registered to his personal email address. He was loyal and had no plans to leave, but a buyer does not price loyalty. Over the next few months we spread that knowledge and access across the team, and he was, frankly, relieved.
4. Approach
The engineering approach tells a buyer whether the roadmap can be trusted. Investors look at how work moves from an idea into production, how testing and code review work, how often and how safely the team releases, and how incidents are handled when things go wrong. What they are really assessing is predictability. A team that delivers steadily and recovers well from problems is one whose plans are worth believing.
The evidence here should describe the delivery process as it actually runs, not as the wiki says it should. That means the build and deployment pipeline and the approach to automated testing, the incident log with any post-incident reviews, and a release history over a meaningful period. A year of real data is far more persuasive than a well-written process document that nobody follows.
From experience: The most reassuring thing I have seen in a data room was not a process document. It was an honest incident log: eighteen months of outages, each with a short write-up of what happened, what the team changed and how long recovery took, and the recovery times got noticeably shorter. It told the buyer exactly what they wanted to know. Things go wrong here, and this team gets better when they do.
5. Platform
This is the part of due diligence most people picture: the architecture, the code and the technical debt. A buyer wants to know whether the platform can handle the volumes the plan assumes, what it costs to run and how that cost grows with revenue, and which third-party services and dependencies would be hard to replace.
The aim is not a perfect codebase, which no growing business has. It is a platform the team understands and can describe consistently. Current architecture diagrams that the engineers agree are accurate, hosting and infrastructure costs with the trend over time, a list of critical dependencies and any evidence of performance under load all help.
So does a technical debt register that records each significant item with its impact and an estimate of the effort to resolve it. Debt that management has identified and sized is a very different conversation from debt a buyer finds for itself, as we explain in technical debt and company valuation.
From experience: I have seen two businesses with remarkably similar problems: an ageing framework at the heart of the product that would take a couple of engineers most of a year to replace. The first had it in a debt register with a cost estimate and a plan in the roadmap, and the buyer noted it and moved on. The second had never written it down, and the buyer's reviewer found it. That became weeks of extra questions and, in the end, a holdback on part of the price. Same debt, very different outcome.
6. Security, data and IP
The final area covers the liabilities a buyer would inherit. Investors look at access control, vulnerability management and incident history, at what personal data the business holds, where it lives and how it is protected, and at the risk carried by suppliers and third parties. They also check that the business actually owns what it is selling: the code, the IP and the right to use the open-source components inside the product.
The common weakness here is security that exists on paper but not in practice. Policies matter far less than evidence that they are followed, such as regular access reviews and recent penetration tests with the findings tracked to resolution. Alongside that, have records of data processing, any certifications the business holds such as Cyber Essentials or ISO 27001, an inventory of open-source components and their licences, and contracts confirming that the business owns code written by contractors and agencies. IP gaps in particular are far easier to close before a deal than during one.
From experience: One founder was confident they owned all their IP. When we checked, the first version of the product had been built by a small agency on a contract that said nothing about who owned the code. The agency was friendly and signed an assignment within a fortnight, so it was a cheap fix. Discovered by a buyer's lawyers mid-deal, with the agency knowing exactly how much leverage it had, it would have been a very different conversation.
Gaps that slow a process down
In my experience, it is rarely an individual technical issue that makes due diligence painful. The process slows down when evidence exists only in people's heads, so every answer has to be reconstructed and the same few people become a bottleneck. It slows further when management and the technical team give different answers to the same question, because inconsistency makes a buyer look harder at everything else.
And it suffers when documents are produced for the deal. Buyers can tell the difference between documentation the team genuinely uses and documentation written last week, and the second kind undermines confidence rather than building it.
From experience: I have watched a CEO tell a buyer the platform could "easily" handle ten times the current load, and then heard the lead engineer, in the next session, say it would need a significant rebuild. Both were being honest from where they sat. The buyer spent the next two weeks working out which of them to believe.
When to start
Ideally 12 to 24 months before a transaction. That leaves time to fix what matters, not just to document it. The businesses I have seen come through due diligence most smoothly were not the ones with the best technology. They were the ones that had already asked themselves the hard questions.
The Technology Exit Readiness guide explains why the timing matters, and a ClearView assessment shows where you stand against all six areas in two weeks.
If you are on the other side of the table, see how Stable State approaches technical due diligence for investors.
Find out what the checklist says about you.
ClearView assesses your business against all six areas in two weeks, and tells you what to fix before a buyer asks.
