Engineering is typically the largest cost line with the least visibility. The Operating Partners hear "engineering is fine" but lack independent data to confirm or challenge that. CEOs can't answer the board's questions about delivery capacity. CFOs can't benchmark what they can't measure.
Our PE-tailored team diagnostic gives a data-driven, objective and evidence-based view not just of engineering performance, but of the system around it. Where the real constraints are. Whether they sit inside engineering or somewhere else. And what to do about them.
Most engineering assessments treat engineering as the unit of analysis. We treat the whole organisation as the unit of analysis, with engineering as the lens.
Delivery problems are rarely just engineering problems. They might be a missing product management function, a CEO injecting work directly into the backlog, poor sales discipline creating reactive demand, or a lack of strategic clarity at the board level. Engineering metrics alone won't surface any of that. That's why we combine delivery data with targeted interviews, competitive analysis, strategy review, and organisational capability assessment gain a full picture of not just what's happening in engineering, but why.
Every engagement starts by understanding the thesis. It determines which questions matter, which metrics to benchmark, and what the diagnostic needs to reveal.
Different stages of the PE lifecycle surface different questions. The diagnostic adapts to where you are.
Technology and delivery capability assessment for deal underwriting. Targetted diagnostic of delivery to gain visibility on what you are actually buying.
A 360 assessment of the technology and wider organisation to provide a full-system diagnostic. The foundation for the value creation plan.
Ongoing performance measurement, monitoring and intervention to inform continuous delivery optimisation. Keeping delivery on track against the thesis.
Preparing the product and technology narrative for buyer scrutiny. Evidencing the story, fixing what matters, and building credibility to achieve maximum value.
Engineering metrics show the symptoms. Interviews, research, and analysis reveal the organisational causes. We combine both — no workshops, no six-month programmes. Focused, rigorous, and light on management bandwidth.
We connect to the delivery and engineering tools the team already uses — no new platforms to deploy. This gives us the quantitative picture: throughput, cycle time, capacity allocation, quality signals.
Focused conversations with engineering, product, commercial, and leadership stakeholders. Not a survey exercise — structured interviews designed to surface how work flows into engineering, where priorities break down, and what the data can't show on its own.
We assess the business context the engineering function operates in — market positioning, competitive landscape, product strategy coherence, and organisational capability. The data only makes sense when you understand the strategic demands being placed on the team.
Cross-company benchmarking that no internal team can replicate. Engineering performance contextualised against comparable businesses — independent data that carries weight at the board and at exit.
Not a report — the ability to act. Quantitative evidence and qualitative insight synthesised into clear findings, root causes, and specific interventions. Rich enough to support investment, restructuring, or leadership decisions.
The same diagnostic surfaces different value depending on your role.
You need to drive operational and commercial improvements in portfolio companies and drive the value-creation initiatives.
You hear "engineering is fine" from the CTO but lack independent data to confirm or challenge that at the board level. Engineering is the fastest-changing specialism in your portfolio — and most mid-market funds don't have a dedicated technology OP.
Diagnostic accuracy. Not just "engineering is slow" but "engineering is slow because there's no product function triaging demand and the CEO is injecting work directly." That's an entirely different intervention than hiring more engineers.
We give you an independent view of engineering performance and the system around it — because most of what looks like an engineering problem turns out to be a product management problem, a prioritisation problem, or a leadership problem. We show you which it is.
Executing the value creation plan under PE board oversight. Needs evidence for board conversations and the confidence to act.
The board wants evidence, not opinions. If growth is the thesis but the roadmap is congested, you're caught between the board's expectations and the CTO's assurances. You need independent data to resolve the gap.
A board-ready objective view of engineering performance and, critially, which levers to pull to optimse. The diagnostic shows whether the constraint is in engineering, in product management, in how work is prioritised, or in how the business itself generates demand.
Too many delivery problems aren't engineering problems. They're product management gaps, unclear strategy, reactive prioritisation, or organisational noise. The diagnostic shows you which levers to pull.
Accountable for engineering execution and, very often, product management and internal operations too. You need engineering work and issues translated into financial metrics and board narratives.
The board is asking why the roadmap is slipping and you know it's not your team's fault. But you can't prove it. Requirements change mid-sprint, there's no product management layer filtering demand, and priorities shift weekly. Your metrics dashboards show what's happening inside engineering but not why.
Independent evidence that covers the full system including the things outside your control that affect your team's performance. If the bottleneck is in engineering, we'll find it. But if it's upstream, we'll find that too. Hugely valuable when you know the problem isn't yours but can't prove it.
We assess engineering performance in context — not just what your team delivers, but what's being asked of them, how work reaches them, and whether you and the wider organisation are set up for them to succeed.
Needs engineering translated into the same financial language applied to every other cost line.
Engineering is typically the largest cost line with the least visibility. You can't benchmark R&D efficiency against peers, and a buyer at exit will ask "what does engineering cost relative to comparable businesses, and what do you get for it?" You need a credible answer.
A financially-framed view of engineering economics with spend efficiency, capacity allocation, and the organisational drivers behind the cost profile. This is an auditable narrative for the board and for exit.
Engineering is typically the largest cost line with the least visibility. We give you a clear, financially-framed view of what that spend is producing — and whether the cost profile is being driven by engineering itself or by how the rest of the business demands work from it.
Owns the product roadmap and commercial alignment. In many mid-market portcos this role is vacant — which is itself a signal.
Without a functioning product management layer, engineering absorbs the chaos of unfiltered commercial demand. Everyone blames engineering for being slow, but the constraint is upstream — and nobody is measuring that.
Independent data connecting product management effectiveness to engineering delivery outcomes. If the CPO role is vacant, the diagnostic surfaces that gap — and our interim CPO engagement provides methodology-led leadership, not just a body.
We assess how work flows into engineering — including whether there's a functioning product management layer between commercial demand and engineering capacity. In many mid-market businesses, this layer is thin or missing entirely. We make that visible.
A four-week engagement that gives you a board-ready view of engineering health and the organisational system around it. Low commitment, high signal — most engagements start here.
