grade-experiment

Experiment grading is the process of evaluating evidence to assign a grade (I/II/III plus a letter) and updating frontmatter fields like grade, confidence, expectancy, and version. You need it when new evidence arrives across discovery, validation, or production stages.

To grade experiments, open the experiment document, assess evidence since the version date, apply the rubric to assign a grade, and update the frontmatter, Reading, and Change Log sections to reflect current findings reproducibly.

Yes, you can reproduce evaluations using a defined workflow that requires frontmatter fields and a Reading and Change Log reflecting current-version evidence, enabling audits and traceability across discovery, validation, and production stages.

Experiment grading works across discovery, validation, and production stages to update grade, confidence, expectancy, version, and Change Log as new evidence arrives, ensuring documents reflect current evidence consistently.

Grading experiments without frontmatter fields like grade, confidence, expectancy, and version creates ambiguity and slows decision-making. The process requires a Reading and Change Log reflecting current-version evidence to maintain a reproducible evaluation.

The best way to structure experiment documents for grading is to include frontmatter fields for grade, confidence, expectancy, and version, alongside a Reading and Change Log that reflects current-version evidence for reproducible assessments.