The Delivery 360
The Delivery 360 is our framework approach that allows us to deliver an independent, evidence-based diagnostic that investigates the full system around technology delivery — not just engineering in isolation. The Delivery 360 provides a clear picture of where the constraints sit, why they exist, and what to do about them.
Most engineering problems aren't engineering problems. They might be product management gaps, collapsed governance, unclear strategy, or reactive prioritisation. Metrics tools show you what's happening inside engineering. They can't show you why.
The Delivery 360 combines quantitative engineering data with structured qualitative research across the organization—interviews, surveys, and desk research—to produce findings that are specific, evidenced, and actionable. We go in with the hypotheses leadership already has. We validate or invalidate them. And we surface causes and symptoms that weren't visible from the inside.
Hypothesis-driven. 4 to 6 weeks for finding
Context is critical to achieving outcomes at speed. Leadership and teams typically already have hypotheses about what's wrong. These hypotheses inform our scope. But our process ensures we're not limited by opinion and arrive at an objective view.
We start by understanding the strategic context — what the business is trying to achieve, where leaders believe the constraint is, and what questions the diagnostic needs to answer. This shapes what we measure, who we speak to, and how we weight the findings.
We connect to the engineering and project management tools your teams use to extract delivery metrics. Performance is benchmarked against comparable businesses — not abstract industry averages. This data gives us baseline performance and signals on issues in technolgy.
Structured conversations across the organisation — deliberately cross-functional. Engineering, product, commercial, leadership, and operational teams. Role-specific surveys deployed to the broader team. All instruments map to the eleven dimensions.
Quantitative metrics, qualitative findings, and contextual research combined into an integrated diagnostic across all eleven dimensions. Findings are specific, evidenced, and actionable — causes identified and recommendations prioritised.
Eleven dimensions. One diagnostic.
The Delivery 360 investigates technology delivery performance across eleven dimensions, structured around the organisational systems that determine whether engineering can deliver.
Is there a clearly articulated product and technology strategy that stakeholders understand, trust, and can work from? Or is the roadmap a feature list without strategic context?
Who decides what, how fast, and with what authority? Are decision rights clear? Are leaders operating in their roles — or has governance collapsed?
How does performance compare to peer businesses? How does the competitive landscape shape what engineering needs to deliver? Can the organisation absorb change — technology shifts, market pivots, new competitive threats? Or does it lack the learning loops and adaptive capacity to respond?
How are decisions made about what gets built? Is prioritisation evidence-based or politically driven? Are requirements interrogated before reaching engineering, or does the team absorb under-articulated demand?
Where is engineering time and money actually going? What proportion of capacity is consumed by strategic work vs. maintenance, bugs, and unplanned demand? Is the investment profile aligned to business priorities?
Does engineering effort connect to measurable business outcomes? Are KPIs defined, tracked, and acted on — or is the organisation measuring outputs without knowing whether they translate to value? Does data actually influence decisions?
How does work move through the system? What tools? Are they set up correctly? Are processes defined, followed, and effective — or do teams bypass formal processes via Slack and ad hoc requests?
What's in the stack and is it being used as intended? Are tools enabling visibility and coordination, or creating noise? Is there tooling in place to measure delivery performance — and if so, is anyone looking at it?
How do functions interact? Product and engineering, sales and product, leadership and teams. Are handoffs clean? Or do joint planning rituals produce late-stage conflict and rework?
Are the right people in the right roles? Are teams structured as product teams with domain ownership, or as shared resource pools? Are there key-person dependencies that create bottlenecks and risk?
The data-heavy dimension. Engineering performance measured across three lenses: speed (cycle time, lead time, release frequency), quality (bug rates, change failure, rework), and investment focus (strategic vs. reactive capacity allocation).
Light touch. High impact.
We're intentionially light-touch on the team. Most engagements complete in four to eight weeks weeks without disrupting delivery. Board-ready output for leadership.
What makes this different?
Engineering metrics tools measure what's happening inside engineering. The Delivery 360 investigates the whole organisational system — including the strategic, product, and leadership context that determines whether engineering can ever deliver.
Most assessments are self-reported questionnaires that produce a score. The Delivery 360 combines hard data with independent investigation.
We start with what leadership already suspects. The diagnostic is focused on the questions that matter to this business at this moment — not a generic audit.
No major assessment framework connects engineering performance metrics to business and financial outcomes. The Delivery 360 bridges both.
Not all engineering problems are engineering problems. They might be product management gaps, a reactive CEO injecting work, poor sales discipline, unclear strategy, or collapsed governance. The Delivery 360 surfaces which it is — with evidence.
Start with a conversation
A 30-minute call is usually enough to know whether a Delivery 360 would be useful — and what it would look at in your situation.
