Product teams are struggling to find the use cases which deliver the most value to customers and where the technology can be effective. And teams that have built AI products are finding that there’s often a mismatch between what customers find valuable and what the technology can do.
Our guest is Arpy Dragffy Guerrero, the founder of PH1 Research where he has consulted Spotify, Microsoft, Mozilla, National Football League, to research and strategize how to best leverage emerging technologies. He’s worked on products across AI, personalization, Web3, location-sensing, and more. His focus is creating product & testing strategies to quickly pinpoint where the best opportunities are for new products. 
Follow him on social:
https://www.linkedin.com/in/adragffy/
https://twitter.com/arpyd 
Arpy maps out Futures Design: How to build AI products that customers want. 
We discuss strategies for product teams:
‣ Learning from failure & the struggles of early AI
‣ The challenge of identifying the impactful use cases of AI
‣ The importance of value drivers (& why they aren’t JTBD)
‣ Applying systems thinking to AI products & strategies
‣ People hate chatbots —agents will open new possibilities
‣ Examples of how agents could transform use cases and roles


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This Design of AI episode is brought to you by PH1: A research & strategy consultancy that helps clients build AI products that customers want
https://ph1.ca