WxAI: AI x Product Roundtable – Building Better Products Faster cover art

WxAI: AI x Product Roundtable – Building Better Products Faster

WxAI: AI x Product Roundtable – Building Better Products Faster

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 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 BalagopalGuestsNamisha Balagopal — Product leader across HP, Twitch, Amazon, and digital healthMayan Shay May-Raz — Principal Product Manager, Amazon Search, former AR and VR PM at Lenovo and Meta startupDr. Nancy Li — Founder, PM Accelerator, YouTube and LinkedIn Top VoiceJasmeen Bal — Product leader in the EV charging industry, former automotive engineeringHostsReut Lazo, Cofounder and Co-CEO, WOMEN x AIJenny Kay Pollock, Cofounder and Co-CEO, WOMEN x AIWhat We CoverHow 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 tasteKey TakeawaysAI 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 MentionedDovetail — Customer interviews, synthesis, and insightsLovable — Prompt to clickable prototype for faster stakeholder alignmentClaude — Reasoned writing, persona-aware drafting, and analysisAmplitude — Product analytics and auto-captured events for faster decisionsFathom — Meeting records, notes, and action itemsAlso referenced: Miro AI, Figma, GitHub Copilot, Cursor, Google Vertex AI, RAG and multi-agent patternsResources and RecsStoryworthy by Matthew Dicks, on storytelling that lands with stakeholdersOn Purpose with Jay Shetty — Madonna interview on resilience and beliefPower and Prediction by Agrawal, Gans, and Goldfarb, on how AI shifts decision makingChapters00:00 Intro and why AI in product matters now01:09 Guest intros05:06 How AI changes PM work and team velocity08:44 First moments when AI changed their product practice14:36 Strategy, speed, and decision making with AI15:13 Research at scale and the Dovetail workflow16:53 Blending AI insight with human intuition20:21 Designing an AI-native product process end to end23:29 Specialization and faster iterations across the lifecycle24:40 Parallelizing strategy, prototyping, research, and QA26:32 Risks and challenges, overreliance, and “vanilla” docs28:01 Hallucinations and practical guardrails in production33:39 Tool favorites of the week37:40 Non-AI recommendations and why empathy still matters41:02 How WOMEN x AI helps members grow43:07 Closing and final quoteRecorded for the WOMEN x AI community. Learn more and join at www.womenxai.com.
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