AI-Powered Product Management: From Idea to Launch

Most PMs use AI for scattered tasks — a summary here, a draft there. This workshop shows what it looks like to use AI as a working partner across the entire product lifecycle, from the first signal of a customer problem to the dashboard that tells you whether you solved it. Drawing on real workflows from day-to-day PM work at Stripe, this session walks through how AI (specifically Claude) fits into each stage of taking a product from idea to launch — not as a novelty, but as a genuine part of the operating rhythm. Who This Is For: PMs at any level who are curious about moving beyond one-off AI use cases (writing a PRD, summarizing a doc) toward a more integrated way of working. No technical background required. What We'll Cover: 1\. Problem Discovery Using AI to analyze qualitative customer feedback at scale and spot patterns in quantitative data — turning a pile of support tickets, sales calls, and survey responses into a clear view of the actual problem. 2\. Ideation & Prototyping Generating and stress-testing solution concepts, then using AI-built prototypes to make ideas tangible fast — for both internal alignment and early user testing, well before engineering is involved. 3\. Planning the Build Using AI to help structure and manage a build plan — breaking down scope, thinking through sequencing, and keeping a project's moving pieces organized. 4\. Design Experiments Running structured experiments (A/B tests, design comparisons) with AI as a thought partner — from experiment design to interpreting results. 5\. Measuring & Iterating Building dashboards and success metrics with AI, and using it to close the loop — turning post-launch data back into the next round of discovery. Format: A mix of walkthrough and live demo — seeing real (anonymized/sanitized) examples of prompts, workflows, and outputs at each stage, with time for Q&A throughout. What Attendees Will Leave With: \- A mental model for where AI fits…