Legal/Compliance asks: How does Empatyzer protect aggregate anonymity for small teams?

Empatyzer protects aggregate results using product limits and data handling rules. The core visibility rule is that employers see only aggregates and trends, not raw individual responses. We enforce a minimum-group threshold: statistics are released only for teams of at least five people. For smaller groups the platform blocks detailed reports and instead shows broader summaries or suggests combining groups. Aggregation uses blending and averaging to prevent tracing single answers. Visibility is also controlled by user privacy choices: people can hide their profile so their responses are not used in an identifiable way. Empatyzer does not provide employers with raw individual results or full profiles; it supplies interpretations and recommendations at the aggregate level. Contractual terms and platform-level technical safeguards limit data use and make reconstructing individual answers difficult. In practice, even when analyzing smaller units the risk of re-identification is minimal thanks to thresholds, blending, and access controls. Company administrators see only aggregated data and any attempt to de-anonymize would require breaking multiple protection layers. If a client needs extra isolation, higher thresholds or additional anonymization can be applied. When an account is deleted, that person's data are removed according to the retention policy.

Empatyzer's aggregate anonymity relies on a minimum group size of five, data aggregation, and not sharing raw individual results.