『Product for Product Management』のカバーアート

Product for Product Management

Product for Product Management

著者： Matt Green & Moshe Mikanovsky
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概要

 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 経済学
エピソード
  • EP 150 - OHLA Framework with Radhika Dutt

    EP 150 - OHLA Framework with Radhika Dutt
    2026/03/18
    We’re delighted to welcome Radhika Dutt, product leader, founder, and author of Radical Product Thinking, for a deep dive into her newest work: the OHLA (formerly OHL) Toolkit.

    In this episode, Radhika joins Matt and Moshe to challenge how product teams set goals, measure progress, and use frameworks, proposing a puzzle‑driven alternative to traditional OKRs and “framework-following” culture.

    Drawing from her journey from electrical engineering and startups at MIT, through painful “product diseases” like Hero Syndrome and Obsessive Sales Disorder, Radhika shares why recipes and templates alone don’t create real progress. Instead, she introduces OHLA as a lightweight but powerful way to cultivate a Jedi mindset, one that keeps teams grounded in first principles, context, and learning rather than chasing vanity metrics and rigid targets.

    Join Matt, Moshe, and Radhika as they explore:
    • Radhika’s path from engineering and founding to Radical Product Thinking and now the OHLA Toolkit

    • Why classic goal‑setting and OKRs often backfire, creating “alibi progress,” outdated goals, and incentives to hide bad news

    • OHLA in practice:

      • Observe – what’s really happening in your product, team, or market

      • Hypothesize – what might explain it and how you’ll test those ideas

      • Learn – what the results actually tell you

      • Adapt – how you’ll change course based on evidence

    • “Puzzle setting” vs goal setting: defining puzzles with Observation, Open Questions, and an Objective summary to stay longer in the problem space

    • How OHLA complements design thinking by forcing teams to remain curious and uncomfortable before jumping into solutions

    • Practical stories, from maritime platforms to enterprise teams, where puzzle thinking led to very different solutions than OKR‑driven targets

    • How managers can shift conversations from “Did we hit the number?” to “How well did it work? What did we learn? What will we try next?”

    • A realistic path to transition: starting with your own puzzle, then introducing OHLA within your immediate sphere of influence

    • And much more!

    Want to explore the OHLA Toolkit or connect with Radhika?
    • OHLA Toolkit: https://www.radicalproduct.com/toolkit/#OHLToolkit

    • Radical Product site: https://www.radicalproduct.com/

    • LinkedIn: https://www.linkedin.com/in/radhikadutt/

    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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    54 分
  • EP 149 - AI Tools: Summary with Matt & Moshe

    EP 149 - AI Tools: Summary with Matt & Moshe
    2026/03/04
    We’re wrapping up our AI Tools series with a special episode featuring just the two of us—Matt and Moshe—looking back at what we really learned (and where we’re still confused) about AI in product management.

    Across this conversation, we revisit the core themes that emerged with our guests and in our own experiments: from “vibe coding” and no‑code builders, to LLM assistants, enterprise privacy, agentic workflows, and the evolving role of the product manager.

    We share candid stories of using tools like Google Stitch, Figma/Figma Make, FlutterFlow, Base44, and others to design and prototype a real mobile app; what worked, what broke, and why credits, pricing, and model limits matter far more than the glossy demos suggest.

    Join Matt and Moshe as they explore:
    • How our AI Tools series evolved, from “let’s review tools” to “AI is not one thing, it’s many different problem spaces”
    • Why “vibe coding” is a misleading umbrella term, and how it means something different to devs, PMs, and designers
    • Lessons from using AI for design and prototyping: inconsistent outputs, beta‑stage rough edges, and the pain of credit-based models
    • Build vs. buy for AI: integrating foundation models vs. building your own, and what that means for pricing, UX, and reliability
    • Enterprise realities: privacy, security, and why tools like Copilot/Gemini have such an advantage where data and IT policies matter
    • How conversations with our guests (Sani, Eva, Elena, Stav, Yaron, Marcos and Adir) shifted our thinking about workflows, orchestration, and agents
    • The future of agent-to-agent interactions: what happens when AIs negotiate purchases and workflows with minimal human prompts
    • Why first principles and business outcomes still matter more than any single AI tool
    • How the PM role is changing: less tool‑chasing, more orchestration, strategy, and clarity about what problem we’re actually solving
    • What topics we’d tackle next, like pricing, packaging, and credit models for AI products, and how this series is shaping our own careers
    • And much more!
    You can connect with us and keep following what comes after this AI Tools series:
    • 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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    41 分
  • EP 148 - AI Tools: V0, Replit and more with Adir Traitel

    EP 148 - AI Tools: V0, Replit and more with Adir Traitel
    2026/02/18
    We’re keeping the AI Tools series rolling with Adir Traitel, entrepreneur, product leader, and early adopter of just about every vibe coding tool out there. Adir joins Matt and Moshe to share hard‑won lessons from building real apps with v0, Bolt, Replit, Figma Make, and more, all while running his own startup and consulting on product builds across industries.

    From his early days in project management and mobile app startups, through work with companies like Moovit and across FinTech, AgTech, and credit scoring, Adir has consistently been the “try it first” person for new build tools. In this episode, he breaks down what these platforms actually do well, where they fall short, and how product managers can use them responsibly for experiments, prototypes, and beyond.

    Join Matt, Moshe, and Adir as they explore:
    • Adir’s journey from PM and founder to heavy user of vibe coding tools in his current startup

    • His 3-layer view of the ecosystem: AI dev assistants (Cursor, Antigravity, Claude Code), front-end mockup tools (v0, Figma Make), and full‑product builders (Lovable, Base44, Bolt, Replit)

    • V0: where it shines for quickly building functional UIs (like his electricity consumption app) and where it starts to crack

    • Lovable: great for sites and simple flows, but not ideal for complex SaaS or CRM‑like products

    • Bolt: fun and fast for concepts, but why it never got him close to production

    • Replit: stronger agents and capabilities, but weaker UI output and surprising backend defaults that can get very expensive very quickly

    • Figma Make and Google Stitch: when design quality trumps everything else, especially for SaaS interfaces

    • The real costs of vibe coding: AI token spend, hosting/pricing traps, and why production economics matter as much as build speed

    • What his “dream product” would look like, including multi‑agent environments, better security/privacy, and built‑in QA and CI/CD

    • How all this is reshaping the product management role, and why curiosity and tool fluency are becoming must‑have skills

    • And much more!
    Want to connect with Adir or learn more?
    • LinkedIn: https://www.linkedin.com/in/adirtraitel/

    • Website: https://adirtraitel.com/
    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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    1 時間
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