Diversity Survey De-Identification with anonym.plus

Strip respondent identity from a diversity survey so demographics stay aggregate.

Diversity survey de-identification is the removal of respondent identity from a voluntary self-ID dataset. EEOC and Title VII guidance keeps such data apart from hiring choices. anonym.plus marks names and direct IDs on your device, so demographics inform analytics without naming a person.

When this applies

A voluntary survey pairs demographic answers with a name or an email. You strip the direct identity so responses stay aggregate only.

How anonym.plus handles it

  1. Open the survey data in anonym.plus on your device.
  2. The tool scans each response for direct identifiers.
  3. It flags names, emails, and employee IDs.
  4. Confirm the flags and keep the demographic fields.
  5. Turn the name map OFF for irreversible removal.
  6. Save the cleaned dataset locally.

What you need to provide

PII entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONrespondent name → [RESPONDENT]
OriginNRPself-ID field → [DEMOGRAPHIC]
ContactEMAIL_ADDRESSwork email → [EMAIL]
IdentifiersUS_SSNemployee ID → [SSN]
LocationLOCATIONoffice site → [LOCATION]
DatesDATE_TIMEsubmit date → [DATE]

Compliance achieved

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Limitations & cautions

A small office plus a rare demographic can re-identify one respondent. Aggregate or suppress tiny cells before you publish a chart, so no person is singled out.

Frequently asked questions

Why separate self-ID data from hiring?

EEOC / Title VII guidance keeps voluntary self-ID apart from decisions. Stripping identity supports that separation.

How do I avoid re-identifying small groups?

Bucket or suppress cells with few respondents. The tool removes direct IDs; you control aggregation.

Is the data uploaded?

No. The app runs locally, so survey responses stay on your device.