Couverture de Product for Product Management

Product for Product Management

Product for Product Management

De : Matt Green & Moshe Mikanovsky
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Product for Product is a show hosted by Matt Green and Moshe Mikanovsky aimed at helping listeners navigate the growing depth of product management tools while also providing our insights into the categories that make up the PM role. We will take listeners with us on a journey of discovery through areas of product analytics, road mapping, productivity and many others. If you want to keep up with the latest in product management come along for the ride!

Connect with us on LinkedIn:
https://linkedin.com/in/mattgreenproduct
https://linkedin.com/in/mikanovsky

Connect with us on Youtube:
https://www.youtube.com/@productforproductCopyright Matt Green & Moshe Mikanovsky
Economie
Épisodes
  • EP 163 - Startups: Villain's Hat with Pavitra ST
    Oct 28 2026
    What happens when someone uses your product exactly the way you hoped they wouldn’t? We’re kicking off a new series featuring founders building AI products for product people with Pavitra S. Tandon, founder of Villain’s Hat, to explore the risks hiding beyond the happy path.

    Drawing on 18 years in product and UX across companies and continents, Pavitra shares why she built an on-demand misuse investigation tool to help teams identify how features could be abused before they reach users. Rather than simply generating a list of things that could go wrong, Villain’s Hat provides structured investigations that assess potential harm, detection difficulty, and where misuse could happen in the user journey, helping teams prioritize what deserves attention.

    Join Matt and Moshe as they explore with Pavitra:
    • Her journey through product and UX, and the recurring blind spot that inspired Villain’s Hat
    • Why focusing only on the happy path can leave teams unprepared for unintended behavior and deliberate misuse
    • How Villain’s Hat investigates abuse patterns and turns findings into prioritized reports for product teams
    • What makes a structured, repeatable investigation different from asking ChatGPT or Claude, “What could go wrong?”
    • How multiple perspectives, specialized agents, and memory across investigations help teams connect risks rather than assess each feature in isolation
    • Early beta feedback, including newly surfaced risks and familiar concerns that teams had never prioritized
    • How product managers, trust and safety teams, and risk and compliance professionals can use the tool as an extra pair of eyes
    • Why security, legal, and leadership teams may need different views of the same findings
    • What Pavitra learned by using Villain’s Hat to investigate itself, including an unexpectedly harsh communication style that led her to rework its agents
    • Her approach to bringing investigations into existing AI workflows, with platform integrations and APIs ahead of potential design tool integrations
    • Why proactive misuse investigation is about protecting users, trust, reputation, and revenue, not just adding another review step
    • And much more!
    Want to connect with Pavitra or try Villain’s Hat?
    • LinkedIn: https://www.linkedin.com/in/pavitrast/
    • Website: https://www.villainhat.com/
    • If you are at Web Summit in Lisbon, November 9-12, you can meet her there in person
    Pavitra is offering listeners two free investigations. Reach out through LinkedIn or the Villain’s Hat website to learn more.Connect with us and find more episodes
    • Product for Product Podcast: https://linkedin.com/company/product-for-product-podcast
    • Matt Green: https://www.linkedin.com/in/mattgreenproduct/
    • Moshe Mikanovsky: https://www.linkedin.com/in/mikanovsky
    Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.

    Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
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    47 min
  • EP 162 - PM First Principles in the Age of AI Summary with Matt & Moshe
    Sep 30 2026
    After a full series exploring what product managers should retain, and rethink, in the age of AI, Matt and Moshe sit down for an honest wrap-up. What did we learn, what changed our minds, and where do humans still matter most?

    In this special episode, we look back at the conversations on human judgment, empathy, vision, strategy, and stakeholder alignment, then connect them to our own day-to-day experiments with AI. Moshe shares what he learned while building and publishing his new mobile app, Mental Health Wallet, using tools like Kiro. Matt reflects on building an agentic orchestration product, and where AI has genuinely helped sharpen strategy and execution.

    The big takeaway?AI can dramatically accelerate product work, but speed, output, and confidence are not the same as understanding. The PM role is not disappearing. It is shifting toward stronger context-setting, better judgment, deeper customer understanding, and more intentional collaboration.

    Join Matt and Moshe as they reflect on:
    • Rebecca Douglas’s conversation on human judgment and empathy, and why product managers still need to interpret ambiguity, understand users as people, validate AI outputs, and decide what not to build
    • John Fontenot’s perspective on vision and strategy, including why AI can be a powerful thinking partner but cannot fully own long-term direction, strategic tradeoffs, market context, or business accountability
    • Joy Adamson’s insights on stakeholder alignment, and why trust, relationship-building, incentives, organizational dynamics, negotiation, and emotional intelligence remain deeply human work
    • How AI can support product work through research synthesis, organization, ideation, prototyping, requirements, competitive exploration, and strategic feedback
    • Why AI-generated advice can sometimes feel like generic validation, and how better context and sharper prompts lead to more useful strategic feedback
    • Why market context, competitive insight, and business goals still need to come from humans
    • The changing balance between AI and human involvement across different product activities:
      • Human judgment and empathy remain deeply human-led
      • Vision and strategy can be increasingly AI-assisted, but remain dependent on human context
      • Stakeholder alignment is heavily human, because trust, incentives, relationships, and politics cannot be fully automated
    • Why user interviews and real customer conversations remain more valuable than AI-generated “users” or synthetic feedback
    • How the importance of human involvement may shift by company stage, team size, and the number of stakeholders involved
    • The potential future of product work, including AI agents, agent marketplaces, new workflows, and changing expectations for PMs
    • And much more!
    You can connect with us and find more episodes:
    • Product for Product Podcast: http://linkedin.com/company/product-for-product-podcast
    • Matt Green: https://www.linkedin.com/in/mattgreenproduct/
    • Moshe Mikanovsky: http://www.linkedin.com/in/mikanovsky
    Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not not represent the products mentioned in any way.

    Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
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    46 min
  • EP 161 - Stakeholder Alignment with Joy Adamson
    Sep 16 2026
    When AI can summarize meetings, draft updates, and even recommend priorities, what remains uniquely human about stakeholder alignment? In this episode, product coach and advisor Joy Adamson joins Matt and Moshe to explore why alignment is still one of the most essential, and most human, parts of a product manager’s work.

    As part of our First Principles for PMs in the Age of AI series, Joy shares why stakeholder alignment is much more than keeping people informed or collecting feature requests. It is the ongoing work of connecting organizational needs with real customer and user needs, creating shared understanding of priorities, navigating competing incentives, and building enough trust to make difficult tradeoffs together.

    Join Matt and Moshe as they explore with Joy:
    • What stakeholder alignment really means, and why true alignment reduces the need for constant stakeholder management
    • Why the word “stakeholder” itself can create friction when people assume their request should automatically become a roadmap item
    • How PMs can set healthy boundaries, say no with clarity, and prevent feature requests from becoming unchallenged commitments
    • Why emotional intelligence, negotiation, trust, and informal relationship-building remain critical product skills
    • The difference between simply considering stakeholder input and actually aligning on priorities, tradeoffs, and resource allocation
    • How hidden motivations, incentives, politics, and organizational culture shape product decisions in ways AI cannot fully understand
    • Where AI can help: meeting summaries, follow-ups, tailored stakeholder communications, preparation, and negotiation support
    • Why AI-generated recommendations still need human oversight, accountability, and judgment, especially when trust, risk, or ambiguity are involved
    • Could AI agents eventually become stakeholders themselves? What that might mean for product teams and decision-making
    • Why junior PMs should deliberately build their human relationship and influence skills as AI takes on more operational tasks
    • And much more!
    Want to connect with Joy?
    • Website: https://www.digitaljoy.nl/
    • LinkedIn: https://www.linkedin.com/in/adamsonj/
    You can also connect with us and find more episodes:
    • Product for Product Podcast: http://linkedin.com/company/product-for-product-podcast
    • Matt Green: https://www.linkedin.com/in/mattgreenproduct/
    • Moshe Mikanovsky: http://www.linkedin.com/in/mikanovsky
    Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.

    Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
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    46 min
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