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Free · About four minutes

How much engineering capacity is trapped in your delivery path?

Twelve questions about how work actually moves from decision to production. You get a score out of 36, your AI-native delivery maturity band, the one area to fix first, and an estimate of what the gap is worth per year in your own figures.

No email required. Your results appear immediately.
Built for teams of 10 to 60 engineers who already have AI tools on seats.
A self-report snapshot, not an audit. It is deliberately quick.
Question 1 of 12

Press 1 to 4 to choose

The picture is forming.

Six answered, six to go. The first half covered how work moves and what gets written down. The second half covers the tools, the checks, and the cadence.

CTOs who have already booked finish this first, so the number is live on the call rather than guessed at.

Three numbers, and we can size the gap.

These stay in your browser. Nothing is sent anywhere unless you ask for a copy at the end.

Everyone who ships code, including leads.
Salary plus employer costs, tooling, and overhead. Change it if you have a better figure.

Trapped Capacity Scorecard

of engineering capacity is trapped in how the work moves.

per year
per month

Self-report estimate from your answers and team numbers, not a system audit. A Blueprint Sprint replaces this with a costed capacity model.

If the share lost is different

Same team size and loaded cost, the neighbouring estimates. Your figure above stays as you set it.

Where the score comes from

Each area is scored out of 6 from two questions.

Do this week

Fix first

Your three lowest areas, in order.