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Case Study B2B SaaS

Fractional CTO for Series A

An anonymized startup brought on fractional CTO leadership to improve engineering decision-making, scale the team, and regain delivery predictability during rapid growth.

Fractional CTO

Results

Team size
2 → 12
Engagement
8 months

Overview

The startup had strong momentum, but engineering leadership was stretched thin. Decisions weren’t documented, delivery predictability was slipping, and hiring needed structure. The goal was to provide fractional CTO leadership that improved execution now while building foundations for the next phase of growth.

Starting point

Architecture choices were made in the moment, and teams lacked a shared understanding of standards. Onboarding depended on informal knowledge transfer. Roadmap commitments weren’t consistently connected to engineering capacity, which led to thrash and missed expectations.

Goals & success criteria

  • Create a clear technical roadmap that matched business priorities
  • Establish a consistent, lightweight architecture decision process
  • Scale hiring from early-stage to a growing team with repeatable loops
  • Improve onboarding and mentorship so new hires became productive quickly
  • Increase delivery predictability without slowing product learning

What we did

  • Decision-making cadence: introduced a lightweight weekly rhythm for architecture and roadmap tradeoffs (short, written, and actionable).
  • Architecture standards: defined baseline conventions for APIs, data ownership, reliability, and operational expectations—right-sized for current constraints.
  • Delivery planning: tied roadmap commitments to capacity, clarified what “done” means, and reduced context switching.
  • Hiring and onboarding: built consistent interview loops, scorecards, and onboarding checklists.
  • Team mentorship: paired with engineers, reviewed designs, and coached emerging tech leads to distribute leadership.

Key technical decisions

  • Favor incremental architecture evolution over big rewrites
  • Document decisions (ADRs) to reduce repeated debates
  • Create “golden paths” for common work (services, deployments, observability)
  • Align operational expectations early (on-call, incident learning, runbooks)
  • Standardize onboarding and dev environment setup to reduce ramp time

Risk management

  • Avoided strategy-heavy process that would slow execution
  • Prioritized a small set of standards that delivered immediate leverage
  • Designed rituals to be sustainable: short, written, and repeatable
  • Ensured knowledge transfer so leadership wasn’t concentrated in one person

Outcomes

Over an 8‑month engagement, the engineering team scaled from 2 to 12 while maintaining clearer architecture standards and improved delivery predictability. Hiring and onboarding became repeatable, and leadership capacity was distributed across the team.

Handoff & operating model

  • Hiring scorecards and interview loops
  • Onboarding checklists and architecture documentation norms
  • A decision-making cadence and lightweight metrics
  • Coaching plans for tech leads and senior engineers

If you’re facing a similar challenge

If you need senior technical leadership without a full-time executive hire, see Fractional CTO.

Engagement Notes

Context

The company needed consistent technical leadership while scaling hiring and delivery. Architecture decisions and roadmap tradeoffs had to become explicit and repeatable.

Constraints

  • Architecture decisions happening ad hoc and rarely documented
  • Hiring needed structure, standards, and consistent evaluation
  • Delivery priorities shifting quickly as the product evolved
  • Limited leadership bandwidth: execution couldn’t pause for strategy work

Approach

  1. Established technical strategy and a lightweight decision-making cadence
  2. Defined architecture standards, review rituals, and documentation norms
  3. Improved hiring loops, onboarding, and senior mentorship
  4. Aligned roadmap tradeoffs with business goals and delivery capacity
  5. Introduced pragmatic engineering metrics and operational practices

Stack

Cloud platform CI/CD Observability

Lessons Learned

  • Teams scale faster when decisions are documented and repeatable.
  • Hiring velocity improves when the bar is clear and interview loops are consistent.

Want similar results?

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