In this episode of the Product Coalition podcast, Jay Stansell speaks with Naomi Fitzpatrick about the intricacies of building AI-powered products that genuinely drive revenue and engagement. They discuss the importance of focusing on user needs rather than just technology, the significance of thorough product discovery, and the strategic challenges companies face when integrating AI into their offerings. Naomi shares her journey in product management, emphasizing the need for collaboration with engineering teams and the role of experimentation in developing AI solutions. The conversation also touches on how AI can enhance existing products, the importance of onboarding for user adoption, and Naomi's personal AI tech stack.

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Takeaways

* AI features often go unused, failing to drive business value.

* Building technology should focus on helping people.

* Understanding customer problems is crucial for AI solutions.

* Involving engineering early in the product process is essential.

* AI should enhance existing products rather than replace them.

* AI can drive revenue growth indirectly by improving efficiency.

* Onboarding is critical for ensuring user adoption of AI features.

* Experimentation is key in developing AI solutions.

* AI can handle high volumes of tasks, relieving human workload.

* Aligning company strategy with AI is vital for long-term success.

Chapters

* 00:00 The AI Product Landscape

* 03:43 Naomi's Journey in Product Management

* 05:02 Building for People, Not Just Technology

* 06:48 Starting Points for AI Product Teams

* 10:05 The Importance of Product Discovery

* 12:07 Experimentation in AI Development

* 15:06 Strategic Challenges for AI Adoption

* 19:00 Aligning Company Strategy with AI

* 26:56 AI's Role in Revenue Growth

* 33:21 Adjusting Pricing Structures for AI Features

* 36:51 Ensuring Adoption and Retention of AI Products

* 44:13 Naomi's Personal AI Tech Stack

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