Fractional CTO
Strategic tech leadership without the full-time overhead.
We set technical direction, create decision logs, and run 90-day evidence cycles to de-risk roadmap bets.
Where we help
- Roadmaps aligned to business goals
- Architecture and platform strategy
- Engineering org design and governance
- Exec-ready metrics and reviews
You get
- Weekly leadership cadence (1–3 days/week typical)
- Decision Log (ADR-style) for traceability
- Quarterly Evidence Cycle plan with measurable targets
- Stakeholder comms and hiring support
Tech Stack & Architecture Advice
Decisions backed by experiments, not opinions.
We baseline current performance, form hypotheses, and validate design shifts with observability goals and rollback plans.
Typical engagements
- Architecture reviews (monolith, modular, microservices)
- Cloud and cost strategy (Azure/GitHub/Azure DevOps)
- Resilience, performance, and reliability improvements
Artifacts
- Architecture Review Report + experiment plan
- Updated ADRs and target state diagrams
- “Adopt / hold / trial” recommendations with evidence
Tech Leadership Advice (Team Structure & Hiring)
Build a high-leverage engineering org.
We design team topologies, hiring loops, and delivery rituals that raise the bar—validated with predictive scoring and outcome metrics.
Focus areas
- Team structure and responsibilities
- Interview design & scorecards for senior .NET engineers
- Onboarding, career paths, and feedback rhythms
Outputs
- Operating Model playbook
- Hiring loop and rubric pack
- 90-day implementation plan with leading/lagging indicators
Training for Software Development Teams
Evidence-based learning that sticks.
Workshops designed with spacing, retrieval practice, interleaving, and deliberate practice—measured with pre/post and on-the-job transfer.
Popular topics
- .NET & Azure fundamentals to advanced
- CI/CD and DevEx (GitHub Actions/Azure DevOps)
- Testing strategy and code review excellence
Format
- Hands-on workshop + 4-week reinforcement cadence
- Short micro-assessments and code katas
- Team-specific exercises on your codebase
Engineering Playbooks & Working Standards (Docs)
Clear, adoptable standards with measurable acceptance criteria.
We codify how your team builds, tests, and ships—so quality doesn’t depend on heroics.
Deliverables
- Playbooks for branching, testing, reviews, and releases
- Definition of Ready/Done and quality gates
- Templates, checklists, and examples developers will actually use
Hands-On High-Value Engineering
When you need sleeves-rolled-up help on the hardest parts.
We execute alongside your team on projects where correctness and speed matter.
Common requests
- CI/CD setup and refactoring (GitHub Actions/Azure DevOps)
- Azure environments and guardrails (IaC, policies, security)
- Production fire-fighting and performance tuning
- Unblocking complex technical problems
Outcomes we target
- DORA improvements (lead time, CFR, MTTR)
- Reduced toil and faster feedback loops
- Fewer incidents and safer deploys
How We Work (The Scientific Programmer Method)
- Observe – Baseline delivery & quality (lead time, CFR, MTTR, PR cycle time, cloud cost).
- Hypothesize – Define a testable change (e.g., “If we add automated rollback, CFR drops from 7%→3%”).
- Experiment – Run a small, safe-to-fail pilot with clear success criteria.
- Measure – Compare pre/post results on an agreed time window.
- Decide – Adopt, iterate, or roll back. Capture the learning in a Playbook.
Every engagement includes a Decision Log and concrete artifacts (reports, playbooks, dashboards) so improvements stick.
Engagement Models
- Fractional CTO — 1–3 days/week, 90-day cycles
- Projects — Fixed-scope outcomes (e.g., CI/CD overhaul in 4–6 weeks)
- Workshops — 1–3 days + reinforcement plan
- Advisory Retainer — Weekly cadence, async reviews, office hours
[Book a discovery call]
FAQs
Do you advise and execute?
Yes. We combine leadership and hands-on engineering. We run small experiments first, then scale what works.
Can you work with our in-house leadership?
Absolutely. We often partner with Heads of Engineering/Platform Leads to fill specific gaps and accelerate outcomes.
Do you only work with .NET and Azure?
That’s our centre of gravity, but the method (hypothesis-driven, evidence-based) applies broadly across modern stacks.
Get in Touch
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