Building products with GenAI brings powerful new capabilities but also a whole new set of uncertainties. Teams can't rely on best practices because the technology is changing so quickly and users are cautiously adopting change. Designing and shipping products can no longer be thought about as a linear process.
Alexandra Holness, Senior Lead Product Designer at Klaviyo, joins to share lessons, cautions, and a path forward to help product teams build AI products that customers want. She sees that successful product teams will depend on designer, data scientists, engineers working more closely than ever because it is very hard to predict how customers will use models until you've shipped them.
Topics discussed:
How she created her role leading AI design
Assumptions the team had about how to leverage AI
What works and doesn’t from a design perspective
AI models being so nascent that its hard to design a UX
Designers-data-engineers working together in new ways
Building AI products is very different than traditional
Building effective AI products requires culture change
Why you need to test out potential futures
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