Catherine Most
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User Research at Gigster

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Spearheading UX Research in the AI/ML Space

Leading all research at start up breaking into AI/ML offerings was certainly an big challenge to take on. Working closely with the CTO/Co-founder and Director of Product, I used my technical experience to help the company understand and translate our market opportunities, client/network process and technical feasibility.

Methods: interviews, personas, product analytics, usability testing, heuristic analysis and more


Role

UX researcher

Focus

AI/ML direction

Company

Gigster HQ

Time

Fall 2017- fall 2018


Artifacts

Journey Map

With over 5,000 developers in our network, understanding and further streamlining the on boarding process for every project saved the company nearly a week of work per developer per project for more than 600 developer hours per quarter.

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Process Map

When diving into new technologies, like AI, many people are more excited about buzzword bingo than getting all the details in order for a shared understanding and vocabulary around a project process.

Personas

“Know who you are designing for” is a key principle of all great design. In order for the design, sales, customer success, engineering and product teams to craft a great experience I conducted numerous user interviews to build wall sized personas for everyone who passed through the office kitchen.