Implement Partners is a technology delivery performance consultancy. We investigate why technology teams and organisations aren't delivering the value they are capable of — and find the real constraint, not just the visible one.
Exponential backlog growth was a product management problem — not an engineering problem
Reactive planning had resulted in wasted engineering effort
From diagnostic findings to full organisational restructure
Engineering gets blamed. We find out if it's fair.
When technology organisations fail to deliver outcomes, everyone blames engineering. Product blames engineering. Support blames engineering. Sales, Marketing, Finance and Operations do blame everybody — but especially engineering.
Engineering takes the blame because delivery is where issues become visible: the slipping roadmap, the unhappy customers, the feature gaps. But it is never the whole story. In our experience issues impacting technology delivery are as often upstream of engineering as inside it. To understand this, you need to look at the whole system. That's what we do.
An independent, multi-method investigation of the full system that turns technology investment into business outcomes — engineering, product, organisation, strategy, and AI. We don't just measure performance. We investigate why the system produces the results it does, and what to do to improve them.
To start, we look at the engineering metrics to baseline delivery velocity, quality, capacity allocation, and AI productivity impact. We work with whatever metrics tools your teams already use — DX, LinearB, Swarmia, Pluralsight Flow, Jira, Azure DevOps — to gain an objective view of performance in your technology org benchmarked against comparable technology businesses. The empirical "as-is" baseline and the signals of issues.
We then run an analysis not only across engineering teams, but the wider organisation. We talk to stakeholders who see problems and who may shape and cause them. We look at strategy, metrics, product lifecyle, roadmap; we look at tools and processes; we look at skills and resources; we look at leadership, collaboration and culture. We look for signal-to-cause linkages. It's rarely just one issue and seldom inside the engineering function alone.
We then bring the quantitative and qualitative analysis together to build an objective, evidence-based understanding of technology delivery performance in your organisation. We show you what's working, what isn't, where, and why. We show the impact of those issues in hard data and ROI. And we provide a roadmap of actions — short-term and immediate actions, as well strategic recommendations needed to acheive your goals.
We produce deliverables specific enough to brief a board on, prioritise from, turn into work, and execute.
Engineering, product, organisational, or strategic. The diagnostic separates symptoms from causes — most of the time, the visible problem isn't the real one.
We benchmark your performance against businesses at your stage and in your delivery profile. These give you a real sense of where you are and where you can go.
We give you specific interventions to action that are sequenced, prioritised, and built around your context. We map them to customer-facing or internal operational outcomes you want your technology organisation to deliver.
Our expert team are on hand to complement your team with implementaion of solutions. Expertise on demand, when you need it, for how long you need it.
Two recent engagements. One where the engineering team was outperforming. One where they weren't. In both cases, the real story was elsewhere.
The CTO engaged us after a two-year replatforming investment to provide objective data on ROI. The data showed 2-day development cycles against a 3.5–5 day industry average, with only 5% of capacity lost to bugs. Engineering was performing well above benchmark. But our 360 analysis surfaced a different picture: a backlog growing 480% faster than the team could absorb, driven by a structurally broken product planning and roadmap process. On foot of the results, the CEO initiated a product management transformation within 60 days of receiving the findings.
Avg. dev cycle (industry: 3.5–5 days)
Backlog growth rate surfaced as root cause
From findings to action
The business was missing technology deadlines and market opportunities. Leadership knew things were wrong but couldn't pinpoint root causes or prioritise fixes. The data confirmed delivery was struggling — 45-day average lead time, 30% of engineering capacity absorbed by bug fixing, and capacity wasted in abandoned work. But our 360 analysis of the wider system revealed more. Problems in strategy, leadership, collaboration, skills, processes, and key-person dependencies. The leadership team had the evidence for a full reset and acted within two months.
Avg. lead time per change
Engineering time lost to bug fixing
Days of effort wasted on abandoned work
We work with mid-market technology companies as well as Private Equity-backed technology businesses. We tailor our service delivery and outcomes to align with client needs.
CEO, CTOs in mid-market technology companies (up to 10 teams) who need an independent, evidence-based view of technology delivery performance in order to understand issues, identify how to improve, and achieve better business outcomes.
Operating Partners and portfolio CEOs who need a rapid, independent technology assessment for an acquisition, an evidence-based input to inform the value creation plan, or insight on delivery performance trajectory in the run up to a liquidity event or exit.
If you're under pressure to improve technology delivery and aren't sure where the real problem sits, a 30-minute call is usually enough to understand your specific situation and whether we can help.
