eval-suite

Batch content quality evaluation produces per-item scores, per-dimension averages, and a prioritized revision list. It requires defined inputs including content sources, content type, evaluation depth, and an optional auto-reject threshold to filter low-scoring assets.

Ranking content pieces involves generating a composite score for each item to create a prioritized list. This process identifies common issues across the set and provides targeted guidance per dimension with impact estimates for necessary revisions.

Yes, you can score a content library against an optional baseline. By defining content sources, content type, and evaluation depth, the assessment outputs per-dimension averages and highlights items falling below your defined auto-reject threshold.

Batch content evaluation supports campaign asset sets by comparing items, ranking them by composite score, and producing a portfolio-level quality assessment. It requires specifying content sources, content type, evaluation depth, and an auto-reject threshold.

Generating a portfolio-level content quality assessment requires defined content sources, content type, evaluation depth, and an auto-reject threshold. Optional inputs include evidence and a baseline to refine the per-item scoring and revision roadmap.