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gap

Override analytics

Corrections are recorded, but nothing measures which rules keep getting overridden.

What's missing

Every override becomes a rule, but there's no view across them: which rules fire most, which get overridden repeatedly, where the system and the humans disagree.

Why

A rule that's overridden every week is a wrong rule. Without the tally, it just keeps costing a correction each time instead of getting fixed once.

How I'd build it

Log every judge verdict and every human override to one store, and review the tally on a cadence: recurring overrides get promoted to rule changes, dead rules get retired. The learning loop already captures the events — this adds the aggregation.

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