Case study 01

Scaling Without
Breaking

How a global SaaS company tripled its UK engineering capacity, reduced cycle times by 55%, and moved from missing every delivery commitment to hitting 90% of planned work — without pausing a single sprint.

Sector

Global SaaS / FinTech

Location

United Kingdom

Duration

~9 months

Confidentiality

Client anonymised

Delivery vs commitment

90%

↑ from 58% at baseline

Average cycle time

2.6 days

↓ from 8+ days per team

Product Owner agility

85/99

↑ from 3/99 at baseline

"The business wants to grow. We are not in a position to do that — none of the structural elements are in place."
Head of Engineering — at commencement
Why this engagement is on my personal site

This engagement began because the Head of Engineering had seen me work in a previous role. He didn't issue a brief or run a selection process. He commissioned the work on the basis of what he'd observed. That's the pattern I want to be clear about: the referral came from demonstrated results, not from a proposal.

It also led directly to a second engagement — documented in Case Study 02 — where the same client made a specific exception to their freeze on external engagements during COVID-19. The trust was already established. That's the relationship this kind of work produces when it goes well.

The full diagnostic methodology, assessment data, and intervention detail are documented on orchiture.com. What follows is the shape of the engagement.

One team becoming three — without the structural conditions in place

A global cloud accounting platform — UK subsidiary of a major US SaaS company — needed to triple its engineering capacity. The business was growing. The team structure wasn't ready for it.

The original team was scaling into three. Engineering managers were being promoted from individual contributor roles — technically strong, but without experience leading teams at this pace of change. In the eight sprints before engagement, zero had delivered their committed scope. Cycle times were running at 7–15 days per user story, with high variability between team members.

The product ownership model was the underlying problem: the wrong people were doing product work, and this was creating a cascade of downstream dysfunction. But this wasn't visible from inside the system. The diagnostic found it.

What the organisation saw

Missed sprint commitments. Slow cycle times. New teams not performing. Process issues. Coaching gaps.

What the diagnostic found

A product ownership model that put the wrong people in the wrong roles — blocking everything downstream. The structural root, not a symptom.

Five interventions, sequenced over nine months

All changes ran alongside live delivery. There was no protected transformation phase.

Month 1–2
Structural diagnostic
Agility assessment across all teams. Five Dysfunctions baseline for the origin team. Delivery flow analysis. Product ownership mapping. A written diagnostic with evidence, not a list of opinions.
Month 2–4
Product ownership redesign
The highest-leverage intervention. The Product Owner agility score was 3/99 — the structural root cause of the delivery failures. Intensive coaching, practice redesign, and accountability structure rebuilt from first principles.
Month 3–6
Three-team topology and transition
Domain mapping, team right-sizing, Reverse Conway Manoeuvre. New Engineering Managers coached through the transition. Working agreements established for each team.
Throughout
Ways of working co-design
Sprint cadence, planning protocols, retrospective practice, and commitment culture — co-designed with the teams, not imposed on them. Five Dysfunctions model used to surface trust gaps and build accountability.
Throughout
Leadership system integration
Findings shared across the full Engineering, Product, and Design leadership triad. Nothing escalated without evidence. Nothing within remit waited for permission. Operating as a genuine partner to leadership, not a consultant reporting in from outside.
Measured outcomes, five months after commencement

All results tracked continuously via flow metric data, sprint completion records, and quarterly agility assessments against the same framework used at baseline.

Work delivered vs committed
58% 90%
Across 12 consecutive sprints
Sprints completing full plan
0% 42%
From zero in 8 prior sprints
Product Owner agility score
3/99 85/99
Above 75-point target threshold
Cycle time by team — before & after Moving average in days per user story
Team 1 (origin)
7–15d
Team 2
−55%
Team 3
−59%
Team 4
−52%
The signals that matter for a CTO reading this

The most impactful change — fixing the product ownership model — had nothing to do with Scrum ceremonies. It was a structural diagnosis: the wrong people were doing the wrong work. Engineers reported not having enough time to write code; one hadn't written any at all, spending their time instead doing work that should have belonged to product management. Removing that constraint unblocked everything downstream.

The engineering organisation tripled in team count and improved delivery simultaneously. There was no protected transformation phase. This is only possible when the diagnosis is structural rather than symptomatic — when you fix the root, not the branch.

The prior relationship is also worth naming. The Head of Engineering commissioned this work because he'd seen the same approach work at a previous company. He didn't issue an RFP. That kind of trust is the strongest available signal about a methodology — and it's what produced the second engagement.

The organisation that started this engagement could not keep a sprint commitment. The one that ended it was scaling three teams at once, shipping with confidence, and building the structural conditions for further growth. Those are different kinds of organisations. The gap between them is what this engagement built.

"He was crucial in ensuring the smooth expansion from one scrum team to three. James coached us individually as well as as a team and helped me develop skills and thought processes which make me a better team member and software engineer. He clearly has a deep understanding of agile processes but is not wed to one ideology, adapting to a team's unique need. Though he is no longer working with us his work is still impacting us positively."

Senior Software Engineer

Next case study

Unwinding the Feature Factory

The same client. A different product organisation. A specific exception to a COVID-era freeze.

Read case study 02 →

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