True anonymous surveys require data inventory, not just removing name fields

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Building a genuinely anonymous survey demands a systematic audit of every data point that enters, persists in, or leaves a system — not merely omitting a name field. Developers at CandorKit, a short-lived survey tool, outlined a framework that labels each collected value as required, optional, or prohibited for a given task. The platform avoids storing names, account IDs, IP addresses, and cookies alongside responses, instead hashing owner keys and using URL fragments that browsers do not transmit in standard HTTP requests. However, the team notes that network providers, small group sizes, unique events, and free-text answers can still expose respondents even when identity columns are absent from the database. The core principle is subtractive design: systematically removing identity paths, limiting data retention to defined expiry windows, and clearly communicating what anonymity guarantees do and do not cover.

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