Error analysis is the process of grouping failures into categories so teams can understand what to fix. Instead of treating every bad output as a one-off, error analysis looks for patterns: retrieval miss, stale context, judge misalignment, prompt ambiguity, tool outage, or policy gap.
Good error analysis feeds the improvement loop. Failure categories become dataset slices, new evals, better rubrics, policy changes, or product fixes.