Summary
Join Katie Johnson, Head of Consumer Insights at PanasonicWELL, to explore the future of developing products and services atop Generative AI technology. This talk will cover how to think about experimenting with users today for use cases that don’t yet exist at scale, and how to bring insightful findings to leadership to make strategic decisions quickly. Katie will shed light on methods and strategies she’s employed in building products with cutting-edge technology throughout her career in agency life, blockchain, Google’s 0 to 1 environment in Assistant, and now at PanasonicWELL.
Key Insights
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Building generative AI products requires rapid iteration and failing fast to succeed.
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Collaboration across teams is crucial for effective alignment in product development.
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The nature of products built on LLMs diverges based on each user's interactions, calling for new testing methods.
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Longitudinal studies are essential for understanding how users evolve their relationships with AI over time.
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Failure should be embraced as a part of the development process to help teams learn and innovate.
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Orthodoxies in product design must be challenged in light of generative AI's capabilities.
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AI technologies demand greater humility as their complexity often eludes even their creators.
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Building user trust in AI tools requires a shift in how users perceive their interactions with these systems.
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Creating meaningful user experiences often requires stepping back and observing rather than controlling user behavior.
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Generative AI can enhance human creativity and critical thinking by taking over routine cognitive tasks.
Notable Quotes
"Building flawed successes and efficient failures is what it's all about."
"Alignment on product teams and willingness to experiment is the biggest indicator of success."
"If you're not taking big enough swings, you're probably not taking big enough swings."
"What this means is that we need to look at product development as alchemy, not hard science."
"The products we create are no longer fixed; they are influenced by individual user interactions."
"The only way to study experiences is to loosen control and observe user behavior over time."
"We are no longer just studying products; we are studying experiences in ecosystems."
"Things that have worked for decades might need reevaluation with new technology."
"In generative AI, giving up control is essential for innovation."
"Creativity, accountability, and authenticity will be the new markers of humanity."
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