What PE Buyers Actually Look For in Your Technology Team

I have spent 30 years advising businesses through growth, scaling, and M&A. I have sat alongside PE firms during due diligence processes. I have watched what questions they ask, what concerns trigger further investigation, and what finally determines their offer price. Over time, a pattern has become clear: the technology team is often the most valuable asset in the business, yet it is assessed through informal conversations rather than structured evaluation.

Most businesses preparing for PE exit focus on financial statements, tax structure, and legal compliance. These remain essential. But increasingly, the technology team — its depth, its stability, its capability, its knowledge base — is the deal-breaker question. Buyers ask: "Can this business operate without the current CTO? If the lead engineer leaves, does the whole system fall apart? How much of the value is in the code vs. in the people who wrote it?"

I have seen deals fall apart because the technology team could not withstand scrutiny. I have seen valuations reduced by 20-30% because of key person risk. And I have seen deals done at premiums because the technology team was demonstrably capable, well-documented, and independent of individual contributors.

The difference is usually not in the actual quality of the technology. It is in whether that quality — and the stability of the team that maintains it — is visible and defensible during due diligence.

The PE Technology Team Assessment Framework

Based on what I have observed in actual due diligence processes, PE buyers assess technology teams across six dimensions. Each dimension is important, but the strength of the weakest dimension often determines the overall assessment.

1. Key Person Dependency Analysis

This is the first and most ruthless assessment. PE buyers ask: If the CTO, lead architect, or three most senior engineers left tomorrow, could this business survive?

What they want to know:

• Is technology knowledge concentrated in individuals or documented systemically?
• How much of the architecture lives in someone's head vs. documented design decisions?
• If the lead engineer left, how long would it take to find a replacement? How difficult would the transition be?
• Are key technical decisions dependent on a particular individual's judgment, or are there decision-making frameworks?

What impresses buyers: Clear separation of responsibility, documented architecture decisions, multiple people who can step into each critical role. A business where knowledge is distributed rather than concentrated.

What concerns buyers: The founder who is also the CTO and won't accept that they need to eventually step back. The lead engineer whose departure would require a 6-month search followed by a 12-month transition. The undocumented codebase that only the original architect can navigate.

2. Team Tenure and Retention Rates

PE buyers look at the historical tenure distribution of the engineering team. They want to understand: Is this team stable or is it a revolving door?

What they assess:

• Average tenure of the team
• Median tenure (often more informative than average)
• Retention rate over the past 2-3 years
• Reasons for departures (promotions, departures to startups, departures due to dissatisfaction)
• Planned departures or people on notice

A team where people stay 4-5+ years on average signals stability, institutional knowledge, and probably good culture. A team where people stay 2 years on average signals either high-growth churn (people getting promoted elsewhere quickly) or culture/satisfaction issues.

What buyers prefer: A team where senior engineers have been with the company 5+ years and mid-level engineers 3-4 years. This demonstrates that people view it as a stable, growing place to work.

What concerns buyers: Recent spikes in departures, particularly if they correlate with technical changes or leadership shifts. An engineering team where 40% of people have been there less than a year.

3. Engineering Culture and Capability Assessment

PE buyers want to assess whether the engineering team is world-class, competent, or struggling.

This is evaluated through:

• Code review and decision quality. Buyers will read code. They will review pull requests and design documents. They are assessing whether code shows evidence of strong technical decision-making, testing discipline, and thoughtful architecture.
• Speed and efficiency of delivery. Buyers want to know: Can this team ship features in 2-week sprints, or does it take 3 months? Is deployment friction high or low? Can they do continuous deployment or are releases painful?
• Technical communication. Buyers assess whether engineers can clearly explain technical decisions, document their reasoning, and justify architectural tradeoffs. Can an engineer explain why they chose architecture A over B? Or do they just say "that's how we always do it."
• Collaboration and knowledge sharing. Buyers want to see evidence that the team learns from each other, that knowledge flows across the team, that junior engineers are mentored by seniors. This is about organisational capital, not individual brilliance.

What impresses buyers: A team that can explain the tradeoffs in their technology choices. A team that ships frequently. A team that has invested in observability and monitoring so they can operate reliably at scale.

What concerns buyers: A team that cannot articulate why they made particular architectural decisions. A team that ships infrequently and painfully. A team that has high defect rates or frequent production incidents.

4. Technical Debt Quantification

Most businesses have some technical debt — areas of the codebase that are not ideal but that work adequately. PE buyers want to understand: How much technical debt exists, how much is it constraining future development, and what would it cost to address?

What they assess:

• What is the ratio of time spent on technical debt vs. new features?
• Is technical debt actively being managed or accumulating?
• Which areas of the codebase are most problematic?
• What is the estimated cost to replace vs. refactor the problematic areas?
• Is technical debt constraining the business's ability to grow or change?

Buyers expect some technical debt. What they want to see is evidence that it is being managed deliberately rather than ignored.

5. Documentation and Knowledge Management

Buyers assess: Is the knowledge base of the team accessible to others, or is it trapped in individuals' heads?

What they look for:

• Architectural documentation. Is there a clear articulation of the system architecture? Can someone new to the team understand how components connect and why key decisions were made?
• Runbooks and operational procedures. Are there documented procedures for deploying code, rolling back, handling incidents?
• Decision records. Are significant technical decisions documented with reasoning? Or are they tribal knowledge?
• Process documentation. Are the team's development processes, code review standards, and testing practices documented?
• Knowledge base and FAQ. Is there a centralised place where common issues and solutions are documented?

What impresses buyers: A team that has invested in documentation not as overhead but as an essential operational tool. A new team member can get productive within 2 weeks because the knowledge is recorded, not distributed across people.

What concerns buyers: Knowledge trapped in individuals. A codebase with no comments or documentation. A team where every decision lives in the minds of a few people.

6. Leadership Depth and Succession Planning

PE buyers want to know: Is there a deep bench of technical leadership, or are you dependent on one or two people at the top?

What they assess:

• How many people are capable of making architectural decisions?
• Is there evidence of internal promotion from junior to senior roles?
• How far down the organisation does technical capability go?
• Is there a plan for succession in critical leadership roles?
• Are potential leaders being developed intentionally?

A business with three capable engineering leaders is more valuable than a business with one, because it has redundancy and option value. A business that has promoted people internally demonstrates that it has institutional knowledge transfer mechanisms.

The Technology Team Assessment Scorecard

Here is the structured framework I recommend for technology team assessment during PE due diligence:

Scoring interpretation:

• Average score 1-3: Significant risk. Expect 30-40% valuation discount and substantial earn-out requirements tied to team retention.
• Average score 4-6: Moderate risk. Expect standard valuation with some founder earnout (12-18 months) and team retention provisions.
• Average score 7-8: Low risk. Expect premium valuation with minimal earnout and standard management continuity provisions.
• Average score 9-10: Exceptional. Expect strong valuation multiple and strong buyer confidence in post-acquisition execution.

How to Prepare Your Technology Team for Due Diligence

Based on what I have seen work in practice, here is how to prepare:

Month 1-2: Honest assessment. Use the scorecard above to assess where your team actually stands. Be ruthless about identifying weaknesses. This is not the time for optimism; it is the time for clear-eyed assessment.

Month 3-4: Documentation blitz. Document architecture, key decisions, operational procedures. Focus on the highest-leverage documentation that will give a buyer confidence in your team's stability and capability.

Month 5-6: Eliminate key person dependencies. Make decisions about how to distribute knowledge. If the CTO is the only person who understands the architecture, start having the next level down shadow key decisions and document the reasoning.

Month 7-8: Leadership development. Promote from within where possible. Identify high-potential people for expansion roles. Demonstrate that you have a succession pipeline, not a dependence on current individuals.

Month 9-10: Technical debt assessment. Quantify your technical debt. Estimate replacement costs. Present a clear plan for managing the debt post-acquisition if necessary.

Month 11-12: Due diligence preparation. Package engineering documentation, team information, and leadership structure into a data room. Prepare your engineering leadership to answer buyer questions in a structured way. Rehearse responses to difficult questions about key person risk and technical debt.

The AI Capability Dimension

AI has added a new dimension to technology team assessment. PE buyers increasingly ask: How AI-ready is your engineering team?

What they assess:

• Do your engineers understand what AI can and cannot do?
• Is your architecture designed to integrate AI capabilities?
• Do you have the data pipeline infrastructure to support AI?
• Is your organisation experimenting with AI, or is it defensive about AI?

Making Invisible Capability Visible

The technology team is often the most valuable asset in a technology business, yet it is the hardest to assess from a distance. PE buyers cannot know whether your team is truly exceptional or competent or mediocre without investing time in detailed assessment.

The businesses that achieve premium valuations are those that make this assessment easy. They provide structured evidence of team capability, stability, and depth. They document their architecture and decisions. They demonstrate that knowledge is distributed rather than concentrated. They show that they have intentionally built organisational capital.

The Opagio Growth Platform provides the framework to assess and improve your technology team's intangible assets. From knowledge documentation through to leadership development, it helps you make the invisible visible before a PE process begins. For technology businesses 6-12 months from a potential PE process, this assessment is not optional. It is the difference between a standard multiple and a premium one.

Mark Hillier is Co-Founder and CCO of Opagio. He brings 30+ years of experience advising businesses through growth, scaling, and successful PE exits. His client roster includes Legal & General, AEW UK Investment Management, and Salmon Harvester. At Opagio, Mark leads go-to-market strategy and client acquisition across the SME and investor markets.