Elaine Anzaldo Portfolio
Conversation Designer at Meta working on voice-enabled hands-free messaging for Ray-Ban Meta smart glasses, with earlier work designing a WhatsApp flight-status chatbot for LATAM Airlines aimed at reducing call center volume.
What makes it work
A breakdown of the choices that make this portfolio stand out.
A named, currently-shipping hardware product as the headline case study
Leading with Ray-Ban Meta smart glasses — a real, purchasable consumer product — grounds the portfolio in something a reader can go verify and try themselves, rather than a hypothetical or internal-only prototype.
A business-metric framing for the airline chatbot
Framing the LATAM WhatsApp bot around reducing call center volume, not just "improving the chat experience," ties conversation design work to a cost line an airline executive actually tracks.
Public writing about the discipline alongside her own casework
Her published articles on how to structure a conversation design portfolio double as proof she understands the field's hiring bar well enough to teach it — a credibility layer beyond her own project list.
What Conversational AI Designers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
If you've worked on a named, shippable consumer product, lead with it — a reader can go verify it exists, which is worth more than an NDA'd internal project.
Tie a chatbot case study to the business metric it was built to move (call volume, support cost, conversion) rather than only describing the flow.
Writing publicly about your field's hiring standards is itself a portfolio signal — it shows you understand what makes work good, not just that you can produce it.
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