Implement Partners is a boutique technology delivery performance consultancy. We help technology organisations and teams deliver 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 will also point the finger.
Engineering takes the blame because delivery is where issues become visible: the slipping roadmap, the feature gaps, the botched launch, the unhappy customers. But it is never the whole story. In our experience, issues impacting delivery of outcomes 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 — strategy, 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 data and metrics to baseline delivery velocity, quality, capacity allocation, and AI productivity impact. We work with whatever metrics tools your teams already use — Swarmia, LinearB, DX, Pluralsight Flow, Jira, Azure DevOps — and code analysis to build an objective view of performance in your technology org benchmarked against comparable businesses. This gives us the empirical "as-is" baseline as well as signals of performance issues.
We then run qualitative analysis across engineering teams as well as the wider organisation to find causes for issues. We look at strategy, product lifecyle, roadmap, and requierments; we look at tools and processes; we look at skills and resources; we look at leadership, collaboration and culture. We look for causal linkages to issues we see in the engineering data. It's always a range of issue and never only inside the engineering function.
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 improve technology delivery in 60 to 90 days.
We produce deliverables specific enough to brief a board on, prioritise from, turn into work, and execute.
Engineering, product, organisational, or strategic and how they work together. 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 in the PE-backed business engaged us after a two-year replatforming investment in order to provide objective data on ROI to a skeptical leadership. Our 360 findings showed marked improvement: 2-day development cycles against a 3.5–5 day industry average. Only 5% of capacity lost to bugs. Engineering was performing well above benchmark.
But our 360 analysis surfaced a different issue: a backlog growing faster than the team could absorb, driven by a structurally broken product strategy, planning, and roadmap process. The technology team could not fix this. Nor should they. On foot of this insight, the co-CEO's initiated a product management transformation.
Avg. dev cycle (industry: 3.5–5 days)
Backlog growth rate surfaced as root cause
From findings to action
This technology business was missing technology deadlines and market opportunities. Leadership knew things were wrong but couldn't pinpoint root causes or prioritise fixes. Our 360 findings confirmed technology delivery was struggling — 45-day lead times, 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 were all impacting delivery. We provided a prioritised roadmap of corrective actions. The leadership team had the evidence and plan for a full strategic and tactical reset and acted within 60 days.
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 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.
