Jordan Geizer
Multi-disciplinary designer passionate about new technologies to enrich user experiences. Contributes to the design community through meetups and design tools.
Specialties
- Product Design & Engineering,
- UX & UI Design,
- Design Systems,
- Front-end Engineering,
- React,
- Figma
Find Jordan on
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What AI use looks like in five enterprise design teams
Listening to design teams at Stripe, Shopify, Ramp, Atlassian, and Intercom, three ingredients become clear: a place to prototype, good context, and someone helping people put both to use.
·9 min readarticle
Inclusive user testing with browser-based prototypes
Last year, we partnered with the Queensland Government and Meld Studios to design a website that helps people find tools and information to improve their digital literacy. This was a great chance to apply our inclusive design skills and build a site that’s usable and accessible to as many people as possible.
·4 min readnews
Jordan Geizer has made another Figma plugin that’s near and dear to our heart.
Schema Nodes makes it easy to create a visual representation of your product’s GraphQL schema. Handy for practicing schema-led design & engineering.
news
Jordan’s Automatic Style Guides plugin now supports hsla()
Jordan Geizer has released an update to his awesome Automatic Style Guides plugin. Now with hsla() support.
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Jordan Geizer has released an automated style guide plugin for Figma
Jordan Geizer has released an Automatic Style Guide plugin for Figma that generates (and keeps up to date) formal style guide documentation based on your local Figma styles. Now you can prepare a clean and functional style guide for clients & developers with a click of a button.
·0 min read
More posts from other Thinkmill voices
AI search explained: indexing, retrieval and reranking
Organisational knowledge is usually spread across a dozen tools, and keyword search only finds results that match exact words. We run text search, embedding search and reranking on the same dataset, and find out how semantic search with a reranker returns the most relevant results for a query.
·12 min readYour agent believes that docs folder
The agent trusted a committed docs folder of generated artefacts over my instructions. I deleted the lot and lost nothing.
·8 min readAre your AI agents making progress or producing work?
We shipped a working MVP for the Tech Council of Australia in two weeks using an agentic development workflow. Along the way, we learned how easily agents can produce convincing work without moving a product forward, and why engineers still need to decide what progress looks like.
·5 min read
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