How AI is reshaping product management from idea to launch? The panel digs into strategy, PRDs, research, prototyping, analytics, guardrails, and the human judgment that still holds it all together. “AI gives you what you give it. It can enhance your voice, but it cannot replace your thinking or your voice.” — Namisha Balagopal Guests Namisha Balagopal — Product leader across HP, Twitch, Amazon, and digital health Mayan Shay May-Raz — Principal Product Manager, Amazon Search, former AR and VR PM at Lenovo and Meta startup Dr. Nancy Li — Founder, PM Accelerator, YouTube and LinkedIn Top Voice Jasmeen Bal — Product leader in the EV charging industry, former automotive engineering Hosts Reut Lazo, Cofounder and Co-CEO, WOMEN x AI Jenny Kay Pollock, Cofounder and Co-CEO, WOMEN x AI What We Cover How AI speeds strategy, PRDs, and stakeholder buy-inResearch at scale with interview synthesis and insight mappingPrototyping and UI flows with AI design helpersData quality, cleansing, and why your inputs determine your outputsHallucinations, bias, and practical guardrails in productionThe evolving PM role, specialization, and parallelized build cyclesBlending AI insight with human empathy and product taste Key Takeaways AI is a force multiplier for PMs who stay in the loop and think critically.Inputs matter. Define personas, context, and goals to get useful outputs.Use AI to compress time, then spend the saved time on deeper questions.Guardrails require humans. Validate facts, monitor outputs, and design for failure cases.Clean data beats big data. Aggregate, de-dupe, and cleanse before you trust.The PM toolkit is changing, but storytelling and empathy still win rooms.Product orgs will specialize. Core feature PMs, growth PMs, and internal tooling PMs can move faster with AI.Parallelize more. Strategy, research, prototype, and QA can run together with AI assistance. Tools Mentioned Dovetail — Customer interviews, synthesis, and insights Lovable — Prompt to clickable prototype for faster stakeholder alignment Claude — Reasoned writing, persona-aware drafting, and analysis Amplitude — Product analytics and auto-captured events for faster decisions Fathom — Meeting records, notes, and action items Also referenced: Miro AI, Figma, GitHub Copilot, Cursor, Google Vertex AI, RAG and multi-agent patterns Resources and Recs Storyworthy by Matthew Dicks, on storytelling that lands with stakeholders On Purpose with Jay Shetty — Madonna interview on resilience and belief Power and Prediction by Agrawal, Gans, and Goldfarb, on how AI shifts decision making Chapters 00:00 Intro and why AI in product matters now 01:09 Guest intros 05:06 How AI changes PM work and team velocity 08:44 First moments when AI changed their product practice 14:36 Strategy, speed, and decision making with AI 15:13 Research at scale and the Dovetail workflow 16:53 Blending AI insight with human intuition 20:21 Designing an AI-native product process end to end 23:29 Specialization and faster iterations across the lifecycle 24:40 Parallelizing strategy, prototyping, research, and QA 26:32 Risks and challenges, overreliance, and “vanilla” docs 28:01 Hallucinations and practical guardrails in production 33:39 Tool favorites of the week 37:40 Non-AI recommendations and why empathy still matters 41:02 How WOMEN x AI helps members grow 43:07 Closing and final quote Recorded for the WOMEN x AI community. Learn more and join at www.womenxai.com.
