Delivery constraint diagnostic
Based on DORA 2025 research (Google Cloud)

Find where your delivery waits — before you point AI agents at it.

16 questions, about 5 minutes. You leave with your team’s probable constraint, where AI will actually speed up your delivery, and your five DORA metrics against the 4,867 respondents of the 2025 survey. Nothing is kept on the server.

In figures

16

questions, one per screen, ‘I don’t know’ always available

5 min

or so; you can resume later in the same browser

4,867

DORA 2025 survey respondents your five metrics are compared with

  1. Answer

    Sixteen questions, one per screen. DORA questions come from the survey (CC BY 4.0); questions written by JDUCRAFT are labelled as such. You can resume later: your answers are saved in your browser.

  2. Read

    The probable constraint, the signals that confirm or contradict it, your metrics against the 2025 respondents, three first moves. A printable report, a link to share, no account.

  3. Talk it through, if you like

    A free 30-minute reading call: we go through your answers, name the constraint, you leave with two leads. Then, if the question deserves it, a three-consecutive-day audit at a fixed price.

  1. Your probable constraint, and how confident we are

    The model says what it knows and what it does not, with every answer that weighs for or against. A hypothesis to check, not a verdict.

  2. Your five DORA metrics against 4,867 respondents from 2025

    Lead time, deployment frequency, recovery, change failure rate, rework: the share doing better, the same and worse, with the report’s figure and page.

  3. Where AI changes something, and where it changes nothing

    From what your team already hands to AI and what DORA measures: three first moves, and what to re-measure in a month.

Portrait of Jonathan Duberville

Jonathan Duberville

Independent Staff Engineer and software architect — Lille and Paris

Over fifteen years of software engineering. I help teams find where their delivery waits before they point AI agents at it. The diagnostic gives you a hypothesis; the audit checks it against your real flow.

Start

Every figure carries its origin: DORA 2025 data with figure and page, JDUCRAFT reading, or estimate.

Method and sources