Most program reviews grade the outcome and call it a lesson. WorldbyFlow's decision review grades the process on what was knowable at the time, kept separate from how it turned out, so "good process, bad outcome" is an available verdict and the learning is real.
Written for Runs a large change programme and its governance.·Runs in the General domain
A large change program is a long argument about whether it is working. The scans here give that argument a structure: a review of a past decision on its process, a risk read that names the single points of failure, a track record on the vendors and advisers you depend on, a study of the method you are meant to be following, and the tests that would show the program is failing before the steering committee does.
A decision graded on its process given what was knowable at the time, separate from the outcome. The review that produces a lesson rather than a scapegoat.
Single points of failure named and cascades walked explicitly. The risk register with the mechanism shown, which is what a steering committee actually needs.
What a vendor or an adviser promised against what it delivered, dated. The read before renewing the contract that runs your program.
The method you have adopted, studied: where it came from, what the evidence says it does, where it fails. Agile at scale is a claim, and this grades it.
The tests that would show the transformation is not working, named in advance. The page that turns a program into one with honest checkpoints.
The order matters. The first read gives you the structure; the next ones fill the parts that are hardest to source by hand.
Pick one everyone has an opinion about. If the process grade and the outcome grade come apart the way you suspected, the frame is doing its job.
The single points of failure with the cascade walked. Take the top two to the next steering committee.
What would show it is failing, and when you would know. The honest checkpoints, written before they are needed.
The falsification signals become watched items so the program reports its own trouble.
Every figure and quote links to where it came from. A claim the scan could not source is marked as such rather than dressed up.
Export the reviews as PDFs for the steering committee, or share them as pages the program leads can open and annotate.
Ask a follow-up question of any result, or run a Red Team pass that tries to break its own conclusions before someone else does. How the grades work →
The AI-attributed layoff figure is a measure of what companies choose to disclose, not an independently audited count of jobs automation replaced, because Challenger's reason field depends entirely on employer language with no external verification step.
The fastest way to judge the result is to pick a subject you know cold and read it against what you know. If a colleague sent you here with an invitation, the credits land on your account when you sign up.