Your board asks hard questions. Now you have real answers.

Gitrevio gives CTOs a data-backed view of their entire engineering organization — from org-wide health to individual team performance to strategic headcount decisions.

Your board wants to know if engineering is efficient. Your CEO wants to know why the product roadmap is slipping. Your CFO wants to know if you really need those six new hires. And you're making $500K+ decisions based on anecdotes from skip-levels and a spreadsheet your VP maintains manually.

Gitrevio replaces guesswork with intelligence. Not more dashboards — actual answers to the strategic questions that determine your engineering organization's success.

Board-ready reports, generated by AI

Stop spending your Sunday night building the engineering slide for Monday's board deck. Gitrevio generates board-ready reports that show org health trends, delivery predictability, headcount ROI, and strategic risk — backed by real data, not self-reported status updates.

Schedule monthly board reports automatically. Each one shows what changed, why it changed, and what you're doing about it. Drill into any number if the board asks a follow-up — because every metric is traceable to underlying data.

Your board gets the executive summary. You get the intelligence to answer any question they throw at you.

# Board Report — Q1 2026
Engineering Org Health: 74/100 (+6 QoQ)
Delivery predictability: 82%
Headcount efficiency: +12% vs Q4
Attrition risk: LOW (1 watch)
Tech debt trajectory: STABLE
AI tool ROI: +18% throughput
# Key decisions needed
1. Backend team at capacity — hire or reallocate
2. Payments service: bus factor = 1
3. Mobile velocity declining — root cause identified

Org-wide health at a glance

The Org Health Score combines twenty signals into a single, drillable number. When the score moves, you know exactly which team, which signal, and what caused it.

Composite Health Score

Twenty signals — delivery velocity, code quality, review efficiency, sprint predictability, knowledge distribution, attrition risk — in one number your board can understand.

Team-level breakdown

See which teams are thriving and which are struggling. Drill from org-wide to team-level to individual signals. Spot problems before they surface in missed deadlines.

Trend analysis

Week-over-week, month-over-month, quarter-over-quarter. Track whether your organizational changes are actually improving engineering health or just shuffling problems around.

> What happens if we hire 3 engineers for the platform team?
# What-If Simulation
Current team: 8 engineers
Projected team: 11 engineers
Onboarding cost: -15% velocity for 8 weeks
Break-even: week 12
Steady-state velocity: +28% (not +37.5%)
Review load impact: seniors pulled into mentoring
# Recommendation
Stagger hires: 2 now, 1 after 6 weeks.
Assign dedicated mentors to reduce senior disruption.
Expected full ramp: 16 weeks

Headcount decisions backed by data

Adding three engineers doesn't give you 37.5% more output. It gives you 8 weeks of reduced velocity while seniors mentor, followed by a gradual ramp-up that depends on your onboarding effectiveness and the team's review capacity.

Gitrevio's What-If Simulator models this with your actual org data — your onboarding curves, your review patterns, your team dynamics. Not industry averages. Your numbers.

Use it for hiring, reorgs, team splits, and departures. Every headcount decision becomes a data-informed decision.

Strategic intelligence for the C-suite

Questions CTOs need answered — and currently answer with gut feeling.

M&A due diligence

Evaluate an acquisition target's engineering health. Code quality, tech debt, knowledge distribution, bus factor, team velocity. Know what you're buying before you sign.

Technology strategy validation

Is the microservices migration actually improving velocity, or just creating coordination overhead? Measure the real impact of architectural decisions on team output.

Budget justification

Show your CFO exactly what engineering dollars produce. Cost per feature, ROI per hire, productivity trend per dollar invested. Replace 'trust me' with data.

Capacity planning

Can the current team deliver the 2026 roadmap? Where are the constraints? What's the minimum viable hiring plan to hit targets? Answer these before the offsite, not after.

Attrition risk at scale

Org-wide view of attrition risk. Which teams are fragile? Which departures would cause cascading failures? Act on behavioral signals months before the resignation email.

AI transformation measurement

Your company invested in AI coding tools. Are they working? Measure adoption rates, productivity impact, code quality effects, and cost per AI-generated feature across the entire org.

How CTOs use Gitrevio

Monthly board reports — automated, data-backed, generated by AI. No more Sunday night slide-building. Schedule once, review the draft, send.

Weekly org health digest — what changed, where, and why. Takes 5 minutes to read, replaces the hour-long VP roundtable that never surfaces real problems.

Before every headcount decision — run the What-If Simulator. Know the onboarding cost, the break-even timeline, and the real velocity impact. Present the numbers to your CFO.

Continuous attrition monitoring — alerts when risk scores change. Act before the resignation lands on your desk. Retain the people who hold your organization together.

Run your engineering org on data, not intuition.

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