5 Simple Steps for Trans-Inclusive Data
summary
Five concrete steps for making people data less harmful and more useful including ask pronouns and contextualize name fields, balance data needs with privacy, and replace othering with universal design. The talk gives concrete examples — OkCupid’s gender-search choices, a staff survey that masks unique responses, vendor evaluation criteria, and event badge/name workflows — and explains how each change is implemented, what systems must change, and where migration or human-process fixes succeed or fail.
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