<p>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.</p><p><br></p><p>“AI gives you what you give it. It can enhance your voice, but it cannot replace your thinking or your voice.” — Namisha Balagopal</p><p><br></p><p><strong>Guests</strong></p><p><a href="https://www.linkedin.com/in/namishab/" target="_blank" rel="noopener noreferer">Namisha Balagopal </a>— Product leader across HP, Twitch, Amazon, and digital health</p><p><br></p><p><a href="https://www.linkedin.com/in/mayan-shay-may-raz-280079163/overlay/about-this-profile/">Mayan Shay May-Raz </a> — Principal Product Manager, Amazon Search, former AR and VR PM at Lenovo and Meta startup</p><p><br></p><p><a href="https://www.linkedin.com/in/drnancyli/" target="_blank" rel="noopener noreferer">Dr. Nancy Li</a> — Founder, PM Accelerator, YouTube and LinkedIn Top Voice</p><p><br></p><p><a href="https://www.linkedin.com/in/jasmnkbal/" target="_blank" rel="noopener noreferer">Jasmeen Bal</a> — Product leader in the EV charging industry, former automotive engineering</p><p><br></p><p><strong>Hosts</strong></p><p><a href="https://www.linkedin.com/in/reutlazo/" target="_blank" rel="noopener noreferer">Reut Lazo</a>, Cofounder and Co-CEO, WOMEN x AI</p><p><a href="https://www.linkedin.com/in/jennykaypollock/" target="_blank" rel="noopener noreferer">Jenny Kay Pollock</a>, Cofounder and Co-CEO, WOMEN x AI</p><p><br></p><p><strong>What We Cover</strong></p><ul><li>How AI speeds strategy, PRDs, and stakeholder buy-in</li><li>Research at scale with interview synthesis and insight mapping</li><li>Prototyping and UI flows with AI design helpers</li><li>Data quality, cleansing, and why your inputs determine your outputs</li><li>Hallucinations, bias, and practical guardrails in production</li><li>The evolving PM role, specialization, and parallelized build cycles</li><li>Blending AI insight with human empathy and product taste</li></ul><p><br></p><p><strong>Key Takeaways</strong></p><ul><li>AI is a force multiplier for PMs who stay in the loop and think critically.</li><li>Inputs matter. Define personas, context, and goals to get useful outputs.</li><li>Use AI to compress time, then spend the saved time on deeper questions.</li><li>Guardrails require humans. Validate facts, monitor outputs, and design for failure cases.</li><li>Clean data beats big data. Aggregate, de-dupe, and cleanse before you trust.</li><li>The PM toolkit is changing, but storytelling and empathy still win rooms.</li><li>Product orgs will specialize. Core feature PMs, growth PMs, and internal tooling PMs can move faster with AI.</li><li>Parallelize more. Strategy, research, prototype, and QA can run together with AI assistance.</li></ul><p><br></p><p><strong>Tools Mentioned</strong></p><p>Dovetail — Customer interviews, synthesis, and insights</p><p>Lovable — Prompt to clickable prototype for faster stakeholder alignment</p><p>Claude — Reasoned writing, persona-aware drafting, and analysis</p><p>Amplitude — Product analytics and auto-captured events for faster decisions</p><p>Fathom — Meeting records, notes, and action items</p><p><br></p><p>Also referenced: Miro AI, Figma, GitHub Copilot, Cursor, Google Vertex AI, RAG and multi-agent patterns</p><p><br></p><p><strong>Resources and Recs</strong></p><p>Storyworthy by Matthew Dicks, on storytelling that lands with stakeholders</p><p>On Purpose with Jay Shetty — Madonna interview on resilience and belief</p><p>Power and Prediction by Agrawal, Gans, and Goldfarb, on how AI shifts decision making</p><p><br></p><p><strong>Chapters</strong></p><p>00:00 Intro and why AI in product matters now</p><p>01:09 Guest intros</p><p>05:06 How AI changes PM work and team velocity</p><p>08:44 First moments when AI changed their product practice</p><p>14:36 Strategy, speed, and decision making with AI</p><p>15:13 Research at scale and the Dovetail workflow</p><p>16:53 Blending AI insight with human intuition</p><p>20:21 Designing an AI-native product process end to end</p><p>23:29 Specialization and faster iterations across the lifecycle</p><p>24:40 Parallelizing strategy, prototyping, research, and QA</p><p>26:32 Risks and challenges, overreliance, and “vanilla” docs</p><p>28:01 Hallucinations and practical guardrails in production</p><p>33:39 Tool favorites of the week</p><p>37:40 Non-AI recommendations and why empathy still matters</p><p>41:02 How WOMEN x AI helps members grow</p><p>43:07 Closing and final quote</p><p><br></p><p>Recorded for the WOMEN x AI community. Learn more and join at www.womenxai.com.</p>

WOMEN x AI

WOMEN x AI (WxAI)

WxAI: AI x Product Roundtable – Building Better Products Faster

OCT 22, 202543 MIN
WOMEN x AI

WxAI: AI x Product Roundtable – Building Better Products Faster

OCT 22, 202543 MIN

Description

<p>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.</p><p><br></p><p>“AI gives you what you give it. It can enhance your voice, but it cannot replace your thinking or your voice.” — Namisha Balagopal</p><p><br></p><p><strong>Guests</strong></p><p><a href="https://www.linkedin.com/in/namishab/" target="_blank" rel="noopener noreferer">Namisha Balagopal </a>— Product leader across HP, Twitch, Amazon, and digital health</p><p><br></p><p><a href="https://www.linkedin.com/in/mayan-shay-may-raz-280079163/overlay/about-this-profile/">Mayan Shay May-Raz </a> — Principal Product Manager, Amazon Search, former AR and VR PM at Lenovo and Meta startup</p><p><br></p><p><a href="https://www.linkedin.com/in/drnancyli/" target="_blank" rel="noopener noreferer">Dr. Nancy Li</a> — Founder, PM Accelerator, YouTube and LinkedIn Top Voice</p><p><br></p><p><a href="https://www.linkedin.com/in/jasmnkbal/" target="_blank" rel="noopener noreferer">Jasmeen Bal</a> — Product leader in the EV charging industry, former automotive engineering</p><p><br></p><p><strong>Hosts</strong></p><p><a href="https://www.linkedin.com/in/reutlazo/" target="_blank" rel="noopener noreferer">Reut Lazo</a>, Cofounder and Co-CEO, WOMEN x AI</p><p><a href="https://www.linkedin.com/in/jennykaypollock/" target="_blank" rel="noopener noreferer">Jenny Kay Pollock</a>, Cofounder and Co-CEO, WOMEN x AI</p><p><br></p><p><strong>What We Cover</strong></p><ul><li>How AI speeds strategy, PRDs, and stakeholder buy-in</li><li>Research at scale with interview synthesis and insight mapping</li><li>Prototyping and UI flows with AI design helpers</li><li>Data quality, cleansing, and why your inputs determine your outputs</li><li>Hallucinations, bias, and practical guardrails in production</li><li>The evolving PM role, specialization, and parallelized build cycles</li><li>Blending AI insight with human empathy and product taste</li></ul><p><br></p><p><strong>Key Takeaways</strong></p><ul><li>AI is a force multiplier for PMs who stay in the loop and think critically.</li><li>Inputs matter. Define personas, context, and goals to get useful outputs.</li><li>Use AI to compress time, then spend the saved time on deeper questions.</li><li>Guardrails require humans. Validate facts, monitor outputs, and design for failure cases.</li><li>Clean data beats big data. Aggregate, de-dupe, and cleanse before you trust.</li><li>The PM toolkit is changing, but storytelling and empathy still win rooms.</li><li>Product orgs will specialize. Core feature PMs, growth PMs, and internal tooling PMs can move faster with AI.</li><li>Parallelize more. Strategy, research, prototype, and QA can run together with AI assistance.</li></ul><p><br></p><p><strong>Tools Mentioned</strong></p><p>Dovetail — Customer interviews, synthesis, and insights</p><p>Lovable — Prompt to clickable prototype for faster stakeholder alignment</p><p>Claude — Reasoned writing, persona-aware drafting, and analysis</p><p>Amplitude — Product analytics and auto-captured events for faster decisions</p><p>Fathom — Meeting records, notes, and action items</p><p><br></p><p>Also referenced: Miro AI, Figma, GitHub Copilot, Cursor, Google Vertex AI, RAG and multi-agent patterns</p><p><br></p><p><strong>Resources and Recs</strong></p><p>Storyworthy by Matthew Dicks, on storytelling that lands with stakeholders</p><p>On Purpose with Jay Shetty — Madonna interview on resilience and belief</p><p>Power and Prediction by Agrawal, Gans, and Goldfarb, on how AI shifts decision making</p><p><br></p><p><strong>Chapters</strong></p><p>00:00 Intro and why AI in product matters now</p><p>01:09 Guest intros</p><p>05:06 How AI changes PM work and team velocity</p><p>08:44 First moments when AI changed their product practice</p><p>14:36 Strategy, speed, and decision making with AI</p><p>15:13 Research at scale and the Dovetail workflow</p><p>16:53 Blending AI insight with human intuition</p><p>20:21 Designing an AI-native product process end to end</p><p>23:29 Specialization and faster iterations across the lifecycle</p><p>24:40 Parallelizing strategy, prototyping, research, and QA</p><p>26:32 Risks and challenges, overreliance, and “vanilla” docs</p><p>28:01 Hallucinations and practical guardrails in production</p><p>33:39 Tool favorites of the week</p><p>37:40 Non-AI recommendations and why empathy still matters</p><p>41:02 How WOMEN x AI helps members grow</p><p>43:07 Closing and final quote</p><p><br></p><p>Recorded for the WOMEN x AI community. Learn more and join at www.womenxai.com.</p>