Outcome studies. Methodology, not testimonials.

Each case dissected: where we started, what we ran, what shipped. The pattern repeats — that's the playbook.

METHODOLOGY · 4 PILLARS

The playbook every case runs through

No bespoke kickoff. The same four pillars carry every engagement from brief to outcome.

01

Diagnosis before scope

No proposal without a 30-min technical call. We size the gap before pricing it.

02

CTO match, not HR match

Engineers picked by an active CTO, validated against a real architecture decision.

03

Onboarding < 24h

Same Slack, same dailies, same metrics. Sprint zero shared with your team.

04

Outcome-tied scorecard

Each engagement ships a 90-day scorecard against the KPI that justified hiring.

CASES · DEEP DIVES

Four engagements, opened up

Each block: problem we walked into, approach we ran, stack on the ground, outcome at 90 days.

Fintech Scale-up · Spain
PROBLEM

Local hiring funnel was 14 weeks per role. Roadmap slipping a sprint per month while board pressed for product velocity.

APPROACH
  1. Audit of current squad to identify bottleneck (turned out to be backend Go, not frontend).
  2. Five Go seniors shortlisted in 9 days, 3 hired after CTO round.
  3. Onboarding playbook ran during sprint zero — first PR merged on day 4.
STACK

Go · Postgres · Kafka · GCP · Datadog

OUTCOME

3x delivery throughput in 90 days, measured by points/sprint and lead time.

3x throughput
SaaS Enterprise B2B · EU
PROBLEM

Board demanded -30% engineering opex without sacrificing release cadence. Local team plateauing on judgment calls.

APPROACH
  1. Replaced 3 expiring local contractors with nearshore seniors at -55% rate.
  2. Architecture review uncovered 2 incident risks — fixed in week 4.
  3. Code review SLA tightened from 36h to 6h with new ownership map.
STACK

TypeScript · Node · Postgres · AWS · Pulumi

OUTCOME

Engineering opex -40% YoY, deploy frequency 1.4x, no regression in change-failure rate.

-40% opex
HealthTech Startup · post-Series A
PROBLEM

Closing round on Friday, integration deadline with hospital partner the following month. Hiring couldn't be the blocker.

APPROACH
  1. Pre-vetted candidates pulled from sector-specific pool the same day round closed.
  2. Three concurrent CTO interviews on Monday morning, all three offers Monday afternoon.
  3. Compliance onboarding (HIPAA-equivalent) packaged as ready-to-run module.
STACK

Python · FastAPI · Postgres · AWS · HL7/FHIR

OUTCOME

First production code shipped 72h after offer. Hospital integration delivered on schedule.

72h to first commit
Bonus Iuri LegalTech · Barcelona
PROBLEM

Domain-expert founder, no technical co-founder. Needed production SaaS — not a prototype — to close pilot contracts.

APPROACH
  1. Fractional CTO ran spec + architecture in week 1, locked scope to 9 legal flows.
  2. Squad of 2 (full-stack + AI) delivered against weekly demo cadence.
  3. Compliance baked in: GDPR, EU AI Act risk classification, audit log from day 1.
STACK

Next.js · TypeScript · Postgres · OpenAI · Stripe · Auth0

OUTCOME

Multi-tenant SaaS in production at day 42. First 3 pilot contracts signed within 60 days of launch.

42 days to prod
LESSONS · WHAT REPEATS

Patterns that hold across every case

01

Diagnosis time pays back 10x

Cases skipping the technical call always re-scoped mid-flight. The 30-min upfront call is the highest-ROI step we run.

02

Senior + onboarding > more seniors

Three engineers with a clean ramp outperform five engineers dropped in cold. Sprint zero is not a luxury.

03

Outcome metric beats output metric

We track points/sprint internally but only sign engagements against an outcome the customer's board cares about.

Want the playbook applied to your case?

30-min diagnostic call with an active CTO. No deck, no pitch — we map your bottleneck and tell you whether we can move the needle.