Calibration Data De-Identification with anonym.plus

HR Solution · Performance & Talent · EEOC / Title VII

Calibration data de-identification is the removal of names from rating grids before managers compare scores. Title VII, enforced by the EEOC, bars bias by protected class. anonym.plus masks each identifier on your device, so the session weighs work alone, not the person.

When this applies

A calibration meeting lines up scores across a team. You blind the names first, so the discussion stays on merit and helps guard against Title VII bias claims.

How anonym.plus handles it

1. Open the rating grid in anonym.plus on your device.
2. Local OCR reads a scanned score sheet.
3. The tool flags names and any class-linked terms.
4. Confirm the flags and keep the score columns.
5. Mask each name with a stable code.
6. Save the blinded grid locally.

What you need to provide

• The rating grid (XLSX-as-TXT, PDF, DOCX).
• The Mask operator for stable, blind codes.
• Optional name map, sealed and kept off-grid.

PII entity types detected

Compliance achieved

• Supports bias-blind review under Title VII.
• Helps managers avoid class-based scoring the EEOC enforces.
• Offline work keeps sensitive class data off any server.
• AES-256-GCM guards the working copies.

Limitations & cautions

Blinding names does not remove bias from prior scores. If a rating already reflects a protected trait, masking alone will not cure it. Audit the inputs, not just the labels.