Upload a graded scorecard CSV Or paste CSV (first three columns: interaction, grader, agent; every later column is a scorecard item, scored 0 to 5)

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How it works

Groups graded scorecards by interaction, then compares every grader pair on every scorecard item.

Reports exact-agreement percent, mean absolute difference and weighted Cohen kappa (quadratic weights) per item and overall.

Builds a calibration pack: the 10 highest-variance interactions, with the per-grader scores side by side.

Builds a blind re-grade queue from interactions graded only once, so a second grader can score them without seeing the first grade.

Sample data uses synthetic names only (Agent A, Grader 1). Audio transcription is not in v1; see the good first issues for a future local-only adapter.