Product for Product Management

Епизоди

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  EP 157 - Platform PM with Ashana Singhania 24.06.2026 42мин

  Platform work doesn’t look like a typical “one product, one user journey” world, and in this episode, we dig into what that really means with platform Product Leader Ashana Singhania. With a decade of experience across financial services at American Express and Goldman Sachs, Ashana has worked on both consumer-facing experiences and the complex platform layers that power them.She walks Matt and Moshe through how platform products differ from traditional products: instead of a single user flow, platforms support multiple product lines, regions, risk profiles, and entry points, all sitting on shared infrastructure like identity, decisioning, and risk data. That reality changes everything about how a PM does strategy, prioritization, communication, and stakeholder management.Join Matt and Moshe as they explore with Ashana:What “platform” really means in practice, and how horizontal capabilities underpin vertical consumer productsHow platform PMs think differently about impact when results show up indirectly through many dependent productsWhy tools like Productboard, and Jira need to be used differently for messy, non‑linear platform workTechniques for breaking down use cases, mapping the full scope, and prioritizing across multiple product lines and geographiesThe critical role of documentation, especially around variations, so teams don’t assume behavior is the same everywhereGovernance and failure modes:Over‑standardization that harms UXToo much flexibility that creates chaosHow to design a strong core plus controlled adaptationPartnering early with compliance, risk, ops, and legal in financial services so platform changes don’t get blocked lateHow AI is (and isn’t) used today in financial platforms, from fraud detection and behavior insights to reducing manual work, and where trust and regulation slow things downAshana’s approach to defining a platform vision, living roadmaps, and reserving capacity for platform evolutionA sneak peek at her new venture on income‑based affordability assessment in real estate and beyondAnd much more!Want to connect with Ashana?LinkedIn: https://www.linkedin.com/in/ashanasinghania You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 156 - Stop Wasting Research with Jake Burghardt 10.06.2026 52мин

  This time we’re diving into a problem almost every product team has felt but rarely names: all the customer research you’ve already done… and then quietly forgotten. In this episode, Jacob Burghardt joins Matt and Moshe to talk about his new book Stop Wasting Research: Maximize the Product Impact of Your Organization's Customer Insights and how to turn research from a one‑off activity into a real product asset.Drawing on his path from early dot‑com research and UX work through consulting and a principal PM role at Amazon, Jacob shares why teams keep re‑running the same studies, ignoring past insights, and treating “research” as a meeting on the calendar instead of an input into every major decision. His book offers a big‑tent definition of research, which includes UX, market, data science, CS insights, and more, and a practical playbook for making all of it usable, visible, and integrated into product work.Join Matt and Moshe as they explore with Jacob:How he moved from hands‑on research and design into product management, and why he stayed obsessed with the problem spaceWhat “research” really includes today (far beyond user interviews or dashboards)Why so much research gets wasted and the three root causes behind it:Research isn’t prepared for future useStakeholders aren’t motivated to careInsights aren’t integrated into planning, processes, or leadership ritualsA step‑by‑step structure from the book:Taking inventory of the research you already haveDiagnosing root causes in your orgChoosing from a “menu” of tactics that fit your contextWhat good looks like: strong operating models, clear places for research to plug in, and researchers treated as builders of internal productsHow smaller orgs without Product Ops can get started: simple visibility, mapping who’s doing what research, and basic communication channelsThe link between org mindset (feature factory vs. empowered teams) and how seriously research is usedPractical ideas for connecting research to go‑to‑market, pricing, packaging, CS, and sales enablementHow AI is changing the research landscape, where it helps and where human judgment is still essentialAnd much more!Want to learn more or get the book?Book: https://rosenfeldmedia.com/books/stop-wasting-researchIntegrated Research: https://www.integratingresearch.com Medium: https://medium.com/@jakeburghardt LinkedIn: https://www.linkedin.com/in/jakeburghardt You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 155 - Reshaping product development for AI’s impact with Gil Broza 27.05.2026 51мин

  This conversation with Gil Broza goes straight at a question many product leaders are quietly wrestling with: how do you bring AI into product development without breaking everything that already works? Gil, author, coach, and long-time agility expert, returns to talk with Matt and Moshe about “reshaping product development for AI’s impact,” focusing not on building AI features, but on how AI is changing the way product and engineering teams work day to day. He argues that while AI massively increases speed and output, it doesn’t change the fundamentals of good product development: clear direction, evidence-based judgment, solid technical foundations, and healthy teams. Join Matt and Moshe as they explore with Gil: - Why AI is a “turbo engine in a car with old brakes” if you drop it into a system designed for human speed. - How leaders confuse more output with more value, and why faster code can just mean “legacy code years ahead of schedule”. - The difference between real agility and “performative Agile” (ceremonies, Jira theater) when AI tools are doing more of the work. - How to think in systems: what you’re actually optimizing for (predictability, innovation, time-to-value) and how AI changes the constraints and feedback loops in your org. - Practical blind spots leaders miss with AI adoption: - Treating AI as an implementation, not a transformation - Ignoring cognitive load and burnout when people work all day with agents - Shrinking teams for “efficiency” and accidentally increasing isolation - The three main ways to use AI in product development, and why you should be explicit about each: - As a pairing partner (thinking, coding, design) - As an autonomous agent - As “just” automation (summaries, note-taking, etc.) - Why skipping prototyping and experiments is now “less excusable” when AI can create testable prototypes in hours instead of weeks. - What changes (and doesn’t) in roles like PM, engineer, and scrum master when AI becomes a real team member. - Concrete steps leaders can take: apply systems thinking, revisit mindset and values, redesign ways of working for AI-speed conditions, and invest in continuous improvement again. - How Gil’s new courses (“Reshaping Product Development for AI’s Impact” and “Leading AI-Enabled Product Teams”) help product and engineering leaders do this work intentionally. Want to go deeper or work with Gil? - Website & courses: https://3pvantage.com/  - Newsletter & articles: https://3pvantage.com/subscrib.../  - LinkedIn: https://www.linkedin.com/in/gi.../  You can also connect with us and find more episodes: - Product for Product Podcast: http://linkedin.com/company/pr...-podcast  - Matt Green: https://www.linkedin.com/in/ma... - 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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  EP 154 - Product Ashtangi with Bhavesh Ratanpal 13.05.2026 48мин

  We’re joined by Bhavesh Ratanpal. product leader, author, and long‑time practitioner of yoga philosophy, for a unique conversation about his book Product Ashtangi and how ancient Vedic wisdom can change the way we build products and lead teams.Bhavesh shares his journey from growing up in a family of priests in India, to a career in software development and product management at places like TD Bank, Citibank, and TELUS, and now to founding human‑centric AI startups in Canada. Along the way, he kept returning to one insight: a calm, clear mind makes better product decisions. Product Ashtangi is his attempt to codify that, combining the eight limbs of Ashtanga yoga with modern product practice.Join Matt and Moshe as they explore with Bhavesh:What “Product Ashtangi” means and why the first product you work on is yourselfHow the eight limbs of yoga (starting with Yama - truthfulness, ethics, ego‑awareness) translate into everyday product decisionsThe difference between building from ego and cosmetics vs. focusing on real user pain and social welfareHow to shift between observer and experiencer modes so you can see problems clearly instead of reacting emotionallyStories of applying these principles in practice, from enterprise migrations and platform decisions to Bhavesh’s current AI products (pet adoption and strata governance)Treating your life like a product: personal sprints, self‑retros every two weeks, and continuously “shipping” a better version of yourselfHow karma yoga and product management align when you see products as vehicles for societal good, not just business metricsThe structure of the book:Part 1 – theory connecting yoga sutras, Bhagavad Gita, and product thinkingPart 2 – practical ways to adopt the eight limbs in your product workWhere to start if you’re curious: books, practices, and small mindset shifts you can apply this weekAnd much more!Want to learn more or get the book?Website: http://bhaveshratanpal.caLinkedIn: https://www.linkedin.com/in/bhaveshratanpalYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 153 - Competitive Research Tools with Ran Erez 29.04.2026 49мин

  On this episode of the Product for Product Podcast, we’re joined by Ran Erez, product leader, podcaster, and founder of Re.focus, for a highly practical episode on competitive intelligence tools and tactics for product managers.With over a decade in B2B, B2C, and cyber (including three years on the mobile pod at monday.com), Ran has seen the same pattern repeat: teams either copy competitors blindly or ignore them entirely. He argues there’s a better way, treating competitors as a massive time‑saver for validation and strategy, without letting them drive your roadmap.Join Matt and Moshe as they explore with Ran:How Ran went from QA manager in cyber to owning product and driving millions in salesThe biggest mistakes PMs make with competition: copying feature lists, believing marketing at face value, and doing “one‑and‑done” competitive intelligence Why focusing only on direct “budget competitors” misses the real job‑to‑be‑doneThe Competitive Intelligence Pyramid:Feature level – how others solve the same problemProduct capabilities – pros/cons at whole‑product levelMessaging – how value is communicated and evolvesProduct strategy – what bets they’re makingCompany strategy – where the business is actually headingConcrete methods and tools at each level, including:Finding real users of competitors through screeners, communities, and support/KB pagesRunning “SUSHI” competitive user research: side‑by‑side tests of your product vs. theirs over timeTalking to integration partners and freelancers who implement multiple competing toolsUsing Wayback Machine, screenshots + Gemini, and Perplexity to track how sites, pricing, and positioning changeMining public earnings calls for strategic signals in the language leaders useHow to systematically identify your true competitors (and what it means if you can’t find any)Treating CI as a muscle: what “small start” looks like and how to keep learning over timeUsing competitors to validate your ideas by putting their products in front of your usersAnd much more!Want to connect with Ran or learn more?LinkedIn: https://www.linkedin.com/in/ran-erezYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 152 - From Project to Product Mode with Thomas Hartmann 15.04.2026 58мин

  We’re joined by Thomas Hartmann, co‑founder of Product Masterclass and co-author of From Project to Product Mode: A Game Plan to Unlock Scalability for B2B Software Products, for a candid look at why so many B2B software companies get stuck in “project mode” and what it really takes to become product‑led.Thomas shares his journey from entrepreneurship and lean startup experiments in San Francisco and Munich and to working with large organizations trying (and often failing) to scale. Over years of coaching and transformation work, he and his co‑founder and co-author, Sebastian Borggrewe, saw the same pattern: teams with a strong product mindset trapped inside companies that still behave like project shops, where sales and single big clients dictate the roadmap and success is measured by project delivery, not product outcomes.Join Matt and Moshe as they explore with Thomas:- How to recognize whether your company is truly in project mode or product mode- Why B2B software behaves very differently from B2C when making this shift- The “egg” analogy: product teams as the yolk, surrounded by an environment (the egg white) that often doesn’t care how things get built, only that they ship- The seven areas that fundamentally differ between project and product companies: segmentation, pricing, discovery, prioritization, engineering, configuration, and product management structures- Concrete signs of project mode: sales defining what to build, time‑and‑materials pricing, no real discovery, prioritization driven by the loudest customer, and PMs blocked from end users- Why not every company needs to become a product company, and why it’s a strategic choice, not dogma- A step‑by‑step path to move from project to product mode:- Step 1: Align leadership and name the current state (you are a project org)- Step 2: Find alignment among all product leaders on what to change- Step 3: Prioritize which of the seven areas to tackle first (you can’t fix everything at once)- Step 4: Enable the workforce and shift the surrounding “egg white,” not just product team skills- How AI fits differently in project vs. product organizations: as a delivery accelerator in one, and as a strategic validation and discovery tool in the other- Why tools like Claude Code can help PMs brainstorm, validate, and visualize, but won’t fix a broken mindset or culture- And much more!Want to learn more or work with Thomas?- Product Masterclass: https://www.product-masterclas...- From Project to Product Mode book: https://www.product-masterclass.com/book-project-to-product- LinkedIn: https://www.linkedin.com/in/th... You can also connect with us and find more episodes:- Product for Product Podcast:http://linkedin.com/company/pr...- Matt Green:https://www.linkedin.com/in/ma...- Moshe Mikanovsky:http://www.linkedin.com/in/mik...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...
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  EP 151 - Gender Based Data Analytics with Lea Khasidi 01.04.2026 49мин

  We’re excited to welcome Lea Khasidi, product management freelancer, founder and CEO of MaPott, and soon‑to‑be author, for a powerful conversation on gender-based data analytics for product managers.Lea shares her journey from intelligence work in the IDF, through product roles in EdTech, cybersecurity, and beyond, to founding a health management app for women with chronic conditions. Along the way, one pivotal discovery while consolidating four cybersecurity platforms, seeing men and women use the same filtering feature in completely different ways, sparked her deep focus on how gender shapes behavior in our products, especially in B2B contexts where it’s often ignored.Join Matt and Moshe as they explore with Lea:How a real-world analytics puzzle revealed stark gender differences in workflow, and changed how she thinks about usage dataThe three pillars of context we can’t change (who users are, how they act, where they work) and the one we can: what we give them in the productHow “hacks” and workarounds used by different genders can hint at your next featuresA practical system for existing products: using analytics to segment by gender, spotting behavioral differences, then following up with observation and interviewsHow to approach gender representation when validating new products, and why balanced samples matter even for seemingly “neutral” toolsWays to lean on existing research about gender patterns in your domain (health, education, finance, etc.) instead of guessing from scratchWhy early-stage startups should ship faster and learn from usage, while mature products might rely more on A/B tests and targeted outreachThe risk of building solely from our own biases and assumptions, and why gender should be on the PM checklist, even if it’s not always the first lensLea’s upcoming book on gender-based analytics for PMsOne piece of advice she has for founders learning to trust their insight while staying open to the dataAnd much more!Want to connect with Lea or learn more?LinkedIn: https://www.linkedin.com/in/lea-khasidi/ Website: https://leakhasidi.comMaPott: https://www.ma-pott.com/ You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 150 - OHLA Framework with Radhika Dutt 18.03.2026 53мин

  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 ToolkitWhy classic goal‑setting and OKRs often backfire, creating “alibi progress,” outdated goals, and incentives to hide bad newsOHLA in practice:Observe – what’s really happening in your product, team, or marketHypothesize – what might explain it and how you’ll test those ideasLearn – what the results actually tell youAdapt – 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 spaceHow OHLA complements design thinking by forcing teams to remain curious and uncomfortable before jumping into solutionsPractical stories, from maritime platforms to enterprise teams, where puzzle thinking led to very different solutions than OKR‑driven targetsHow 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 influenceAnd much more!Want to explore the OHLA Toolkit or connect with Radhika?OHLA Toolkit: https://www.radicalproduct.com/toolkit/#OHLToolkitRadical 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-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 149 - AI Tools: Summary with Matt & Moshe 04.03.2026 40мин

  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 designersLessons from using AI for design and prototyping: inconsistent outputs, beta‑stage rough edges, and the pain of credit-based modelsBuild vs. buy for AI: integrating foundation models vs. building your own, and what that means for pricing, UX, and reliabilityEnterprise realities: privacy, security, and why tools like Copilot/Gemini have such an advantage where data and IT policies matterHow conversations with our guests (Sani, Eva, Elena, Stav, Yaron, Marcos and Adir) shifted our thinking about workflows, orchestration, and agentsThe future of agent-to-agent interactions: what happens when AIs negotiate purchases and workflows with minimal human promptsWhy first principles and business outcomes still matter more than any single AI toolHow the PM role is changing: less tool‑chasing, more orchestration, strategy, and clarity about what problem we’re actually solvingWhat topics we’d tackle next, like pricing, packaging, and credit models for AI products, and how this series is shaping our own careersAnd 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-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 148 - AI Tools: V0, Replit and more with Adir Traitel 18.02.2026 59мин

  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 startupHis 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 crackLovable: great for sites and simple flows, but not ideal for complex SaaS or CRM‑like productsBolt: fun and fast for concepts, but why it never got him close to productionReplit: stronger agents and capabilities, but weaker UI output and surprising backend defaults that can get very expensive very quicklyFigma Make and Google Stitch: when design quality trumps everything else, especially for SaaS interfacesThe real costs of vibe coding: AI token spend, hosting/pricing traps, and why production economics matter as much as build speedWhat his “dream product” would look like, including multi‑agent environments, better security/privacy, and built‑in QA and CI/CDHow all this is reshaping the product management role, and why curiosity and tool fluency are becoming must‑have skillsAnd 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-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 147 - AI Tools: CLEAR with Marcos Polanco 04.02.2026 51мин

  We’re continuing our AI Tools series with Marcos Polanco, engineering leader, founder, and ecosystem builder from the Bay Area, who joins Matt and Moshe to introduce CLEAR, his method for using AI to build real software, not just demos. Drawing on decades in software development and his recent research into how AI is reshaping the way teams ship products, Marcos shares how CLEAR gives both technical and non‑technical builders a production‑oriented way to work with vibe coding tools.Instead of treating AI like a magical black box, Marcos frames it as an “idiot savant”: incredibly capable and eager, but with no judgment. CLEAR wraps that raw power in structure, guardrails, and engineering discipline, so founders and PMs can go from prototype to production while keeping humans in control of the last, hardest 20%.Join Matt, Moshe, and Marcos as they explore:Marcos’s journey through engineering, founding, and AI research, and why he created CLEARWhy AI tools like Bolt, Cursor, Claude, and Gemini are fabulous for prototypes but risky for production without a methodCLEAR in detail:C – Context: onboarding AI like a new hire, using stories and behavior‑driven design (BDD) to articulate requirementsL – Layout: breaking work into focused, scoped pieces and choosing a tech stack so AI isn’t overwhelmedE – Execute: applying test‑driven development (TDD), writing tests first, then having AI write code to pass themA – Assess: using a second, independent LLM as a QA agent, plus a human‑run 5 Whys to fix root causes upstreamR – Run: shipping to users, gathering new data, and feeding it back into the next iteration of contextHow CLEAR lowers cognitive load for both humans and AIs and reduces regressions and hallucinationsWhy Markdown (with diagrams like Mermaid) is becoming Marcos’s standard format for shared human–AI documentationHow CLEAR changes the coordination layer of software development while keeping engineers central to quality and judgmentPractical advice for PMs and founders who want to move from “just vibes” to predictable, production‑grade AI developmentAnd much more!Want to go deeper on CLEAR or connect with Marcos?CLEAR on GitHub: https://github.com/marcospolanco/ai-native-organizations/blob/main/CLEAR.mdCLEAR slides: https://docs.google.com/presentation/d/1mwwDtr7cCP5jLUyNVgGR5Aj-MBq8xsMlhSc0pvSQDks/edit?usp=sharingLinkedIn: https://www.linkedin.com/in/marcospolancoYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do...
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  EP 146 - AI Tools: Base44 with Yaron Lavie 21.01.2026 54мин

  We’re excited to continue our AI Tools series with Yaron Lavie, a veteran product leader with over 25 years of experience in FinTech, InsurTech, and now retail tech at Nexite, where he helps fashion retailers unlock unique in-store data. In this episode, Yaron joins Matt and Moshe to share how he used Base44, an AI-powered, full‑stack vibe coding platform, to take a completely new product idea from concept to a deployed prototype without touching his R&D team.Yaron walks through why traditional approaches like Figma mockups and static visuals weren’t enough for the kind of validation he needed, and how he experimented with tools like Gemini, Claude, and ChatGPT before landing on Base44 for an end‑to‑end, fully hosted solution. He explains how Base44’s conversational, chat-based builder let him model user personas, flows, and entities, then iteratively refine an interactive analytics dashboard with real (anonymized) data, all inside a time‑boxed, low‑risk experiment that still respected security constraints.Join Matt, Moshe, and Yaron as they explore:Why Yaron needed to validate a new product idea without pulling scarce R&D resources off other prioritiesHow he moved from static mockups to interactive prototypes with real data, and where Gemini helped and fell shortWhat made Base44 stand out versus other vibe coding tools like Lovable: full-stack, hosted, and truly end-to-endThe importance of “context engineering” over simple prompt engineering when building with LLM-based buildersUsing Base44’s discussion mode, live preview, and QA test generation to shape the product before committing to codeReal-world limits: hitting a ceiling on UX depth, inflated code, and friction with design systems and engineering standardsHow he transitioned from a Base44 prototype to a ground-up rebuild with the core dev team, using the prototype to generate user storiesPractical pros and cons: integrations, multi-currency support, database control, and when full-stack vibe coding is “good enough”Where Yaron sees vibe coding going next, and how PMs can use it responsibly for experimentation and usability testingAnd much more!Want to connect with Yaron or learn more?LinkedIn: https://il.linkedin.com/in/yaronlavieYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 145 - AI Tools: N8N with Stav Charkham 07.01.2026 55мин

  We’re excited to welcome Stav Charkham, Business Product Builder at Voyantis, former Product Manager and founder in EdTech, and seasoned automation expert, for a standout episode on using n8n and agentic AI to empower product managers and teams.Stav takes us through his journey from building products with no-code tools like Bubble and iPaaS tools like Make, to his current work scaling business workflows with AI, n8n, and internal systems at Voyantis. Learn how Stav helps teams go from research to business value in days, sometimes even hours, by combining open-source automation, hands-on user insight, and a bias for action.Join Matt, Moshe, and Stav as they explore: - What makes n8n different: open source, secure, and ready for power users, or anyone who wants to build without a developer - The basics of agentic AI: moving beyond IF/THEN logic, with “agents” that make real decisions using LLMs, memory, and a toolset - Practical use cases: how to save hours on manual work, analyze massive amounts of meeting data, and surface business opportunities using AI-powered automations - How Product Managers can independently build tools for their needs, deploying automations without writing code - n8n’s interface and workflow, and where technical skill might still required - Open source advantages and trade-offs: privacy, flexibility, cost, and the challenge of building and maintaining integrations - Why automation costs matter, and Stav’s real-world tips for measuring and optimizing LLM call expenses - Agentic vs. traditional workflows: when to use an AI agent, and when it’s not worth the extra cost or unpredictability - Cautionary tales and improvement wishes for n8n: integration gaps, edge cases, technical hurdles, and the ongoing quest for less technical UX - Kadabra, another tool Stav loves, combining automation frameworks with front-end flexibility - And much more! Want to connect with Stav or learn more? - LinkedIn:https://www.linkedin.com/in/st... You can also connect with us and find more episodes: - Product for Product Podcast:http://linkedin.com/company/pr... - Matt Green:https://www.linkedin.com/in/ma... - Moshe Mikanovsky:http://www.linkedin.com/in/mik... 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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  EP 144 - AI Tools: Lovable with Elena Levi 24.12.2025 51мин

  We’re excited to bring on Elena Levi, Director of Product Management at Payoneer, data analytics veteran, and passionate advocate for product-driven teams, for a special episode exploring what it’s really like to use Lovable and other AI-powered vibe coding tools in product development.Elena shares insights from 15 years in data analytics and product, with the journey from data analyst to product leadership fueling her curiosity about how AI can reshape prototyping, design, and collaboration. Drawing from hands-on experience building predictive analytics solutions, Elena reveals why she chose Lovable for fast prototyping, user testing, product sense interviews, and collaborating with both developers and designers.Join Matt, Moshe, and Elena as they explore:The strengths and limitations of Lovable for prototyping: rapid iteration, easy sharing, changing flows on the fly, user testing, and developer handoffWhen vibe coding works, and where you still need engineering and design expertiseThe realities of code generation, versioning, Supabase integration, and why Lovable stood out from the competition at the time she chose itUsing Lovable for product sense interviewsPractical tips: breaking tasks into smaller prompts, saving tokens with up-front documents, and why the first prompt is the most importantThe trade-offs of using AI tools for MVPs, B2B vs. B2C products, and where privacy and maintainability concerns come inResponses from engineers and designers, what these tools mean for their work, learning curves, and whether they help or hinder junior team membersExpectations vs. reality: how close AI tools get you to the finish line, and why “the last mile” is the toughestConundrums, gotchas, frustrations, and how to keep flexibility in your workflowWhy do PMs must always ask “Why?”, and why AI alone can't replace a critical data mindsetAnd much more!Want to connect with Elena or learn more?LinkedIn: https://www.linkedin.com/in/elena-levi-dataYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 143 - AI Tools: Using AI Securely with Eva Gao 10.12.2025 52мин

  We’re thrilled to welcome back Eva Hongyan Gao, Head of Product ESG at AMCS Group, a returning guest (episode 102) and a product leader in B2B SaaS, circular economy, and ESG, for a special episode on using LLMs securely inside the enterprise. Eva joins Matt and Moshe to offer a candid, hands-on look at how AI fits into enterprise toolkits, the challenges of data compliance, and the realities of integrating tools like Microsoft Copilot Studio within strict security frameworks.Eva brings deep experience building for demanding enterprise customers, where success is measured not just by innovation, but by strict ISO, SOC 2, and GDPR compliance. She shares what happens behind the scenes as product leaders and IT teams try to balance innovation, cost, and data protection, sometimes losing sleep over responsible tool usage and ever-climbing AI integration costs.Join Matt, Moshe, and Eva as they explore:Using AI tools in highly regulated, security-conscious B2B enterprise settingsThe compliance process: from ISO and SOC2 to GDPR and internal AI guidelinesWhy Microsoft Copilot is becoming the default LLM in enterprises, and what you still need to watch out forBuilding internal agents and chat interfaces to answer roadmap questions and handle stakeholder requestsLessons learned moving from over-engineered platforms to simpler, compliant AI toolsCreative AI workflows, including removing branded assets between Copilot and Figma and orchestrating information for various departmentsThe ongoing struggle: data redaction, internal transparency, and the limits of controlling generative modelsLLM orchestration: mixing old-school logic with new AI capabilities, and knowing when not to use AISecurity best practices and the importance of a trust-based compliance mindset across the organizationWhat happens when stakeholders use AI tools in ways product never expectedOpportunities for Copilot and DevOps to streamline maintenance, documentation, and stakeholder requestsThe future of AI in sustainability, product management, and business decision-makingAnd much more!Want to connect with Eva or learn more?LinkedIn https://www.linkedin.com/in/evagaodeYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: 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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  EP 142 - AI Tools: LLMs with Sani Manic 26.11.2025 45мин

  We continue our AI Tools series with a deep dive into using Large Language Models (LLMs) for research, featuring Slobodan (Sani) Manić, AI skeptic, podcaster, and founder of the AI Fluency Club. Sani joins Matt and Moshe to share why context, careful prompting, and critical thinking are essential for getting real value out of today’s LLMs in product work. Drawing on his work as a product builder, educator, and host of No Hacks Podcast, Sani challenges common myths about AI’s capabilities and underscores both its practical uses and its risks for product managers. The conversation ranges from practical workflows to future visions of invisible AI, open-source models, and the real state of the “wrapper economy” built on major LLM providers. Join Matt, Moshe, and Sani as they explore: - Why most LLM workflows boil down to two mindsets: understanding your work, or avoiding understanding it - The crucial role of context and authority, why careless prompting leads to hallucinations, and how to break questions into smaller steps for better results - How LLMs fit as accelerators for deep research, surfacing insights faster than classic search engines, but always requiring fact-checking - Why Sani uses Google’s Gemini and NotebookLM, and the value of integration with your company’s existing tools - The open-source LLM alternative: privacy, flexibility, and why some see this as the future for secure enterprise AI - Pitfalls of the “wrapper economy,” vendor lock-in, and shaky business models based on reselling tokens - Starting out: how to include LLMs in PM research without reinventing your workflow, and why you must be careful with company data - The risks and limitations of AI today, especially in enterprise and sensitive environments - How internal AI context in tools like Atlassian makes those LLM features uniquely powerful - Future predictions: AI that fades into the background, plus the big unanswered questions about interface and humanoid robots - Sani’s approach to AI education, success stories from AI Fluency Club, and what executives need to learn to stay ahead - And much more! Want to learn more or join Sani’s community? - LinkedIn: Slobodan (Sani) Manić https://www.linkedin.com/in/sl... - No Hacks Podcast http://nohackspod.com/ - AI Fluency Club https://aifluencyclub.com/ You can also connect with us and find more episodes: - Product for Product Podcast http://linkedin.com/company/pr... - Matt Green https://www.linkedin.com/in/ma... - Moshe Mikanovsky http://www.linkedin.com/in/mik... 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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  EP 141 - AI Tools: Kickoff with Matt and Moshe 12.11.2025 33мин

  We’re excited to launch a brand-new series on the Product for Product Podcast, with Matt and Moshe diving deep into the world of AI tools for product managers. In this special episode, we set the stage for upcoming conversations by exploring how AI is becoming an indispensable partner in every stage of the product management journey. Join us as Matt and Moshe discuss: - The rapidly evolving role of AI throughout the product management workflow, from idea generation and discovery to strategy, prioritization, delivery, launch, and ongoing monitoring - The importance of using AI as a tool for knowledge and insight, rather than replacing critical thinking and understanding - How product managers can leverage Large Language Models (LLMs) for research, writing, and scenario planning - The realities and limitations of today’s AI tools, including the challenges of ensuring accuracy and context in product work - Exploring the promise of AI platforms for rapid prototyping and MVP testing - How AI can help bridge the gap between prototyping and actually building production-ready products - Using AI to inform strategic decisions, pricing, packaging, prioritization, and risk assessment - Integrating AI into your board and backlog systems for smarter feedback synthesis and decision-making - Enhancing sprint-based development with AI-generated user stories, acceptance criteria, and more - Upcoming content around data consolidation, go-to-market strategies, and ways AI is changing the PM discipline - And much more! Whether you’re just starting to experiment with AI or looking to deepen how you use it in your product practice, this series is for you. Stay tuned for practical examples, case studies, and discussions that will help you harness the latest AI tools, while remembering that the best PMs know how to balance tech innovation with human judgment.Connect with us and follow the rest of the series: - Product for Product Podcast http://linkedin.com/company/pr... - Matt Greenhttps://www.linkedin.com/in/ma...https://www.linkedin.com/in/ma... - Moshe Mikanovsky http://www.linkedin.com/in/mik... 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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  EP 140- New Book: Real Progress with Tim Herbig 29.10.2025 40мин

  We’re excited to feature another visionary builder in product management: Tim Herbig, Product Coach and author of the newly released book “Real Progress: How to Connect the Dots of Product Strategy, OKRs and Discovery”.In this episode, Tim joins Matt and Moshe to share how his journey, from being handed a Product Owner role out of the blue, to leading teams and coaching organizations, shaped his mission to help product managers connect strategy, OKRs, and discovery into a framework for real impact.Tim draws on his years of experience across diverse industries and organizations to address a challenge he’s seen again and again: teams invite him to solve one issue but quickly discover there are deeper, often interlinked problems between strategic planning, measuring progress, and enabling effective discovery. That’s the gap he set out to fill with his book, a hands-on resource designed specifically for PMs and teams looking to go beyond process and frameworks, and start making progress that matters.Join Matt and Moshe as they explore with Tim:The story behind writing “Real Progress” and connecting the dots between strategy, OKRs, and discoveryWhy so many teams appear busy but are stuck making “alibi progress” instead of real impactThe Progress Wheel: a visual tool for mapping how strategic, measurable change drives product successHow to think critically about frameworks, challenging readers to adapt tools for their own context, rather than following them blindlyThe book’s practical structure: workbook-like prompts and non-linear sections for self-assessment and targeted improvementKey building blocks of strategy and how they relate to various templates and organizational maturityLinking company strategy to product strategy, and the strategic thinking required for product leadersUsing OKRs to measure if your strategy is working, and spotting when OKRs reveal deeper strategic problemsRole of discovery in reducing strategic risk and building conviction, including how Tim’s Evidence Strength Matrix helps teams evaluate signalsFirst steps for teams looking to connect their frameworks and drive improvementAnd much more!Thinking about making progress in your product work? Check out Tim’s book at realprogressbook.com and connect with him on LinkedIn or herbig.co.You can find the podcast’s page, and connect with Matt and Moshe on LinkedIn: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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  EP 139 - Product Manager Toolkit by Moshe Mikanovsky 01.10.2025 32мин

  As part of our ongoing effort to equip product professionals with the best frameworks and resources, this episode takes a different turn. Moshe steps up as the main speaker to introduce the Product Manager Toolkit, a comprehensive framework he created to help product managers select and implement tools more efficiently and strategically.On the show, Moshe walks Matt through the toolkit live using Miro, highlighting how it’s designed around the very principles they’ve discussed with guests throughout the history of the podcast. Now published as a template in Miroverse (with nearly 1,000 views and 44 copies!), the toolkit is freely available for product people everywhere. Moshe shares its origin, core components, and how it’s become a valuable resource for teams mapping out their needs in today’s dynamic product landscape. Join Matt and Moshe as they explore:The end-to-end workflow for product tool selection, from identifying needs and prioritizing requirements to shortlisting, testing, and implementing solutionsA visual ecosystem diagram capturing the full product management cycle, including ideation, strategy, delivery, and ongoing monitoringThe Product Manager Tool Mapping Template, guiding PMs to connect needs with tool options, while considering organization size, culture, maturity, and budgetInsights on the interconnectedness of modern product tools and prioritizing tasks by urgency and importanceThe ever-evolving list of 150+ product management tools on Airtable and the challenge of keeping resource lists up-to-datePractical product selection criteria, including wide vs. deep tools, entry-level vs. advanced features, integration requirements, AI support, vendor reliability, and customer supportThe importance of defining success criteria, creating rigorous test cases, and assessing support and long-term costs before making a commitmentWhy it’s crucial to evaluate not just features and price, but factors like company culture, scalability, and support processesMoshe’s vision for a book focused on tool selection frameworks - if you think it’s a good idea, let him know!And much more!Ready to streamline your approach to tool selection? Access the Miroverse Product Manager Toolkit template, share your feedback, and join the conversation!You can find the toolkit and connect with Moshe at:Product Manager Toolkit Miroverse Template Products for Good: productsforgood.co LinkedIn: Moshe MikanovskyAnd don’t forget to connect with Matt and the podcast:Product for Product PodcastMatt GreenNote: 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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  EP 138 - Startups: Hunch with Matan Kleyman 17.09.2025 56мин

  As we continue our tradition of highlighting innovative startups building for product professionals, we’re excited to introduce Matan Kleyman, CEO and Co-Founder of Hunch, on this week’s episode.On the show, Matan shares his journey from technical engineering and data science roles to leading product teams and hosting a podcast focused on AI and product management. Now with Hunch, he’s set out to solve a problem many product managers know well: after all the investment in collecting and aggregating data, only a handful of senior data engineers truly know how to use it.With that problem in mind, Hunch is on a mission to democratize data access, giving product people rapid, autonomous, and approachable ways to get insights, act on their hunches, and unlock value from their company’s data.Join Matt and Moshe as they explore with Matan:The founding story of Hunch and why product managers are at the center of their visionHow Hunch enables any team member to query data using a ChatGPT-like interface and ready-made templatesTurning raw insights into dashboards and customizable data apps with no technical background requiredHunch’s two big differentiators: optimizing for speed and for true autonomyReal-world use cases, from engineers and PMs, to data-driven decision-making in actionHow Hunch supports both quantitative (what happened in the product) and qualitative (what should happen next) analysis, including transcript integrationsMatan’s philosophy on building trust: prioritizing transparency over rigid accuracy and giving users control over contextBest practices for onboarding, context management, and building knowledge sets in HunchLessons from building their public roadmap and belief in open, user-driven product developmentThe future of product management as a hybrid of visionary leadership and orchestrationAnd much more!Curious to try Hunch or learn more? Connect with Matan:LinkedIn: https://www.linkedin.com/in/matankleyman/ Hunch: https://www.hunch.dev/ You can find the podcast’s page, and connect with Matt and Moshe on LinkedIn:Product for Product PodcastMatt GreenMoshe MikanovskyNote: 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 ⭐️⭐️⭐️⭐️⭐️