TEAM SUMMARY
Engineering: what the review adds up to
Capacity freed, AI tools and the skills to build — built from each person's plan. The page to show leadership.
By the numbers
Click a card for the detail.
Capacity freed
~2.0 FTE
of 8.0 FTE (25%) · 8 of 8 roles scored
Reinvested in
System design, mentoring, and cross-team… · Competitive strategy and roadmap trade-o… · Security and performance testing depth · +5 more
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AI tools
6 of 8 use one
In use today: GitHub Copilot ×3, ChatGPT ×2, Claude ×2
Adoption gap: 2 people
More than half of their work could be automated or augmented, and they use no AI tool yet.
Show today vs. next ↓
Skills to build
7 skills
across 8 people
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| Diego Alvarez · QA Engineer | 40% automatable | ~0.4 FTE |
| Maya Chen · QA Engineer | 40% automatable | ~0.4 FTE |
| Ben Foster · Product Manager | 25% automatable | ~0.3 FTE |
| Grace Liu · Product Manager | 25% automatable | ~0.3 FTE |
| Jordan Lee · Software Engineer | 20% automatable | ~0.2 FTE |
| Nina Torres · Software Engineer | 20% automatable | ~0.2 FTE |
| Sam Patel · Software Engineer | 20% automatable | ~0.2 FTE |
| Alex Kim · Senior Software Engineer | 10% automatable | ~0.1 FTE |
Only the automatable share counts as capacity freed (FTE × automatable %). AI-augmented work gets faster too, but isn't counted — so this is a cautious estimate.