Timeline: 6 weeks (Feb 2024 - Mar 2024)
Team: Gerard Samson, Smridhi Gupta, Jiten Thakkar
In a hackathon hosted by Amazon Music, our team designed a new AI-powered explore page for podcast lovers to find their next obsession. Our team reimagines Amazon Alexa into generative AI assistant that powers the new bite-sized recommendation explore and recommendation feature. Our aim is to push the needle forward for the Amazon Music app.
The Design Brief: Given the current state of Amazon Music, how might AI enhance a customer’s experience with music and/or podcasts?
Research Findings
Through interviewing avid podcast listeners we found that 50% of users:
experienced trouble with tailored recommendations
preferred short-term content
rely a lot on others for their next podcast
“I'm always taking recommendations, but I always like vetting, especially for something that I wanna invest in time and effort and energy into listening”
— User Feedback
Solutions
Issue
Users experienced trouble with tailored recommendations
Solution 1
A Gen-AI powered Alexa pulls data from wish lists, shopping habits, and read books to better inform your explore page algorithm.
Issue 2
Users like short term content
Solution 2
Bite size recommendations of video clips, quotes, posters, and merchandise using tiles.
Issue 3
Users rely on their social network for their next podcast
Solution 3
AI uses Natural Language Processing to recommend the best pieces to users' friends