Paul Adams is the longtime chief product officer at Intercom, where he leads the product management, product design, data science, and research teams. Before Intercom, Paul was the global head of brand design at Facebook, a senior user researcher at Google, and a product designer at Dyson. He’s also a best-selling author, a podcast host, and a public speaker. In today’s episode, we discuss:
• Practical advice on integrating AI into your organization
• Tips and tools for learning AI as a PM
• Hilarious stories from Google and Facebook
• How to build conviction with skeptical coworkers
• Lessons learned from pricing at Intercom
• How Intercom implemented JTBD
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• X: / padday
• LinkedIn: / pauladams
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In this episode, we cover:
(00:00) Paul’s background
(04:09) Freezing onstage in front of 8,000 people
(07:28) Insights from Google+ days
(12:31) Learning from failure
(13:56) Intercom’s “ship fast, ship early, ship often” principle
(15:17) Integrating AI into product strategy
(17:31) Making time for AI learning
(19:37) AI in new-product development
(21:16) Questions to ask about your product
(23:33) How Intercom pivoted after the release of ChatGPT
(25:13) Intercom’s AI chatbot, Fin
(26:45) The early impact of AI adoption at Intercom
(28:53) Capabilities of AI
(34:27) How to structure teams around AI products
(37:57) Why all teams should be involved in AI
(39:04) Staying up to date on emerging technology
(42:44) Hurdles implementing AI at Intercom
(45:52) Building conviction around AI
(49:52) Why you shouldn’t fear AI
(50:56) Paul’s “before-after” framework
(51:54) Pricing lessons from Intercom
(54:54) Paul’s “differentiation vs. table stakes” framework
(59:22) What “swinging the pendulum” means and examples from Intercom
(1:05:21) Paul’s “product market story fit” framework
(1:08:23) His take on JTBD
(1:11:01) How Intercom uses the “four forces” framework
(1:12:54) Lightning round
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Lenny may be an investor in the companies discussed.