DESIGNING FOR AI

Hello
Welcome to the Designing for AI session. Here I would like to share a few learnings and challenges I found when designing for AI. I hope you enjoy the content.
This page is in progress, so you may find unfinished content that needs an update.
Here are some of the points I want to explore further.
1. Breaking down definitions and Recommendation types
2. Finding the right balance between Business Goals x User needs.
3. UI learnings and the cold-start problem
4. Would execution be the biggest challenge in delivering Recommendations? Insights about communicating UX vision and documentation.
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1.
Metigy's contextual Recommendations are located on the right side of the interface
{ Iteration } Collapsable panel of Recommendations
{ Iteration } Recommendations embedded in the journey. It follows user flow.
{ Iteration } Decision Support embedded in the component
Discovery State