Shared controls · source records · decision gates
How I keep important numbers tied to their sources.
A plain-language set of checks for inputs, tests, source records, and the next decision.
The system is not a promise that every project is perfect. It is a set of habits that makes weak inputs, late information, lucky results, and overconfident conclusions easier to catch before they become a business decision.
Every serious project follows the same six questions.
The details change. The questions are deliberately boring.
These controls are the practical version of “trust, but verify.”
Each one exists because a specific kind of claim has gone wrong before: late data, a moved goalpost, a number nobody can trace.
The controls are real because the record includes the awkward parts.
These are not hypothetical failure modes. Each changed the public record or the next decision.
A source record is not a wall of technical output.
It is the shortest useful answer to: "Where did this claim come from, and what would make me doubt it?" Depending on the project, that can be a JSON file, a test, a timestamped registry, a build result, or an owner decision record. I call these receipts when they are attached to the portfolio.
For marketing measurement: the portfolio page links to the campaign receipt and the detailed method page.
For Options research and Sports research: the staged pages show counts and governance, while sensitive strategy details remain withheld.
For the job search tool and the YouTube video workflow: the receipt shows the funnel and the owner boundary.
For Delve: the receipt is currently a build/test record plus a clear note about which UI ideas are exploratory.
“It ran” and “it is ready” are different statements.
A project can be documented and locally verified without being ready for a polished public claim. That distinction is intentional.
Checks reduce avoidable mistakes. They do not make uncertainty disappear.
This system does not promise perfect data, perfect models, commercial success, or a correct answer every time.
It does promise a better question, a visible rule and a traceable source, a chance to catch the result lying, and a clear statement of what remains unknown.
See the deepest technical example in the marketing measurement method →
Make the proof checkable.
This is the standard every project on this site is held to, including whatever we’d build together.