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-in
• Research at scale with interview synthesis and insight mapping
• Prototyping and UI flows with AI design helpers
• Data quality, cleansing, and why your inputs determine your outputs
• Hallucinations, bias, and practical guardrails in production
• The evolving PM role, specialization, and parallelized build cycles
• Blending 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.