Create a factorial comparison with identical cases across configurations. Report interactions and uncertainty across cases.
Name the expected effect, metric and what would count against the hypothesis.
Record fixtures, source, version, parameters, units, controls and how cases are split.
| Case and split | Baseline result | Changed result | Interpretation |
|---|---|---|---|
The benefit of filtering depends on whether retrieval introduces hostile content; component effects are not simply additive.
Record your new case and rerun the original cases after redesign.
Explain the mechanism, one exact result and what would overturn your conclusion.
Case variation is not automatically independent sampling. Identify the population before interpreting uncertainty.
Next test: _ . Project filename: _ . Work that is mine and tools I used: ____ .
Use fictional data. Download a resumable project before changing devices. On a shared device, turn remembering off and clear your work when finished.