Motivation
The primary motivation is to better serve transgender, non-binary, and gender-diverse users — and everyone else — by normalizing the respectful use of pronouns in software. Many applications today either treat pronouns as a simple free-text field or neglect them entirely.
- Free-text approaches, while flexible, make it hard for software to use pronouns in context (e.g. auto-generating messages or forms that refer to the user) and produce inconsistent formatting.
- Rigid dropdowns with limited options alienate users whose pronouns aren’t listed (offering only “he/him, she/her, they/them, other” is inadequate).
Misgendering is not just a social faux pas — it has real consequences. In healthcare it can discourage people from seeking care or contribute to poorer outcomes; in workplaces and communities it undermines inclusion and trust and can expose organizations to legal liability.
What a structured standard provides
Section titled “What a structured standard provides”- Inclusivity — Represent any pronoun set a user might have, including
neopronouns (e.g.
xe/xem,ze/zir), combinations (e.g. “she and they”), and special cases like “no pronouns” or “any pronouns”. This avoids othering users; an “Other” catch-all is considered outdated and dismissive. - Consistency — Once captured, any component can interpret and display pronouns in a consistent, user-affirming way. A formal data model lets algorithms reliably generate grammatically correct text or show pronoun tooltips next to names.
- Interoperability — If multiple systems adopt the same format, user preferences carry over. A person’s pronouns recorded in one portal could be exported or referenced elsewhere, and the model aligns with emerging healthcare standards (e.g. HL7’s pronoun fields in FHIR R5 using coded pronoun sets).
- Developer convenience — Open-source libraries mean developers don’t have to reinvent pronoun parsing or UI each time.
- Education and UX — The standard includes UX guidance on how to ask for pronouns respectfully: make it optional, explain why it’s asked, ensure privacy controls, and provide linguistic context where helpful.