Product for Product Management

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 not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

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 ⭐️⭐️⭐️⭐️⭐️

As we traditionally have done in previous years, we’re excited to feature innovative founders who are building exciting tools for product professionals. Continuing our Startups of 2025 series, we welcome Nathan Ngai, CEO and founder of Arkhet.On the show, we explore with Nathan his journey—from over a decade in product design, running countless discovery workshops and design sprints, to becoming a founder aiming to rethink how AI can work for product people. Frustrated by the boom of AI tools that overpromised yet underdelivered, Nathan set out to build Arkhet—an AI-powered wireframing and prototyping platform designed to give product managers and teams more control, speed, and clarity.With Arkhet, instead of relying solely on the back-and-forth of prompt engineering (and getting results you didn’t ask for), users start visually—building wireframes and layering prompts on top of them. It’s a purposeful approach: if you know what you want to build, Arkhet lets you highlight and describe specific sections, apply your style guide, and collaborate more effectively with designers. The short-term goal: empower PMs to create prototypes faster and more collaboratively, with future possibilities that could extend into full product builds.Join Matt and Moshe as they explore with Nathan:The founding story of Arkhet and why visual prompting solves a major gap in today’s AI toolsHow Arkhet integrates the best of traditional wireframing with generative AI to speed up prototypingThe differences between Arkhet and other AI design/prototyping productsHow it streamlines the collaboration between product managers and designersBeta success stories and why Product Managers are choosing Arkhet over other AI toolsPivoting from a designer-first ICP to focusing on Product Managers—and why both roles will remain crucialWhy AI won’t replace Product Managers or designers, but can help them work better and fasterThe roadmap for style guide personalization, Figma integration, and beyondAnd much more!You can connect with Nathan at:LinkedIn: https://www.linkedin.com/in/ngainathan/ArkhetYou can find the podcast’s page, and connect with Matt and Moshe on Linkedin: Product for Product Podcast - linkedin.com/company/product-for-product-podcastMatt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

As we traditionally have done in previous years, we got to feature some exciting startups this year too. Featuring visionary founders who are building exciting tools for product people, we are starting Startups of 2025 with Sahil Jain, cofounder and CEO of Samepage.ai.On the show we explore with Sahil his journey—from gaming enthusiast and QA tester at Yahoo to serial entrepreneur building products that solve the toughest challenges for product teams. Sahil shares how experiences at AOL, Trigger.io, AdStage (which he ran for 8 years and sold to TapClicks), and weekly conversations with VCs and startups led him to an important insight: most product teams struggle to stay truly aligned. That challenge became the spark for Samepage.ai, where the mission is to solve information asymmetry and help product managers focus more on communicating what matters.Join Matt and Moshe as they explore with Sahil:The founding story of Samepage.ai and why alignment is the central challenge for product managersHow product teams lose context and fall out of sync—with communication making up to 80% of a PM’s roleThe evolution of Samepage.ai from a “blank slate” approach beyond traditional tools like email and SlackLeveraging GenAI to surface relevant, daily insights from scattered sources (Slack, Linear, Github, and more)AI copilots for product managers: creating streams for weekly status updates, release notes, and trend analysis while keeping humans in the loopThe real challenges of transmitting vs. interpreting information, and supporting teams with diverse learning styles and cultural backgroundsEarly success stories from beta usersSahil’s process for validating and iterating Samepage, building in stages, and focusing on solving the right problemsThe future vision for Samepage.ai and how context-aware AI tools will enable better information retrieval, synthesis, and distributionAnd much more!Want to try Samepage.ai? Sahil will expedite your access to the beta program, so do connect with Sahil directly for access!You can connect with Sahil at:LinkedIn: https://www.linkedin.com/in/sahilio/ Email: Sahil@samepage.aiSamepage.ai You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:  Product for Product Podcast - linkedin.com/company/product-for-product-podcast    Matt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

What really aligns product teams and stakeholders to not only understand each other, but also create successful products together?In this episode, we’re joined by Randy Silver, Product & Leadership Coach Consultant and Community Builder at Out of Owls, Founder at CPO Circles , and co-host of The Product Experience podcast by Mind the Product. Randy shares his journey from music journalism to Amazon Music editor, and how his passion for collaborating with designers, developers, and content creators led him into the world of product management. With years of experience delivering value across organizations and hosting weekly product conversations since 2018, Randy brings a unique perspective on what it takes to build successful teams and products.We dive into Randy’s Product Environment Canvas—a practical model designed to help product teams diagnose challenges and align on what really matters. Born from a tough professional experience where misalignment derailed a project, Randy’s framework brings together four critical components: strategy, people, process, and perception. He explains how to use the canvas, the order in which to fill it out, and why it’s as much about internal discovery as it is about stakeholder alignment.We cover topics including:The story behind the Product Environment Canvas and why Randy created itThe four key components: prioritization, people, process, and perception—and how they interactHow to use the canvas to identify root causes of team challenges and misalignmentMotivation mapping and understanding different perspectives within your organizationWhen and how to implement the canvas: retrospectives, quarterly planning, or diagnosing stakeholder frictionWho can use the canvas—whether you’re a team member or in a leadership roleThe impact using the canvas had on organizationsHow the canvas can even help you assess fit when considering a new jobTips for managing perception, communicating context, and surfacing hidden blockersResources and next steps for exploring the Product Environment Canvas furtherAnd much more!You can connect with Randy at:LinkedIn: linkedin.com/in/randysilver/ The Product Environment Canvas: https://outofowls.com/blog/the-product-environment-canvas Out of Owls: outofowls.com CPO Circles: https://www.cpo.social/ Product in the (A)Ether: https://www.pita.social/ Bluesky: bsky.app/profile/randysilver.outofowls.com You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:Product for Product Podcast - linkedin.com/company/product-for-product-podcastMatt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

Do you have a method to reach Product Market Fit (PMF) with your product?In this episode, we’re joined by Giacomo Poggiali, a Sparring Partner for bold partners at Sparring Startups, to learn about his  “Product Engine” framework for reaching PMF. Giacomo is a product coach and repeat founding product leader who has helped over 150 startups navigate the challenging path to product-market fit (PMF). Giacomo shares how his journey began with the lean startup methodology as his thesis, and how he’s since applied those principles across design, product, and marketing in early-stage companies. After experiencing the transformation that comes with reaching PMF firsthand, Giacomo became passionate about helping other teams replicate that journey—again and again.We dive into Giacomo’s perspective on what PMF really means, moving beyond textbook definitions to describe how it actually feels for a team: the shift from pushing a boulder uphill to racing after it as momentum takes hold. Drawing from years of hands-on experience, Giacomo introduces his “Product Engine” framework—a practical playbook for identifying your most valuable users, uncovering what truly drives value, and systematically removing blockers to adoption.Join Matt and Moshe as they explored with Giacomo:The difference between pre- and post-PMF challenges for product teamsWhat the Product Engine is, and how it helps startups identify their lighthouse users and core valueHow to use behavioral data and qualitative insights to uncover value blockersThe 80/20 approach: why doubling down on core value matters more than fixing every blockerWhen and how to off-board users who aren’t a good fitReal-world examples of the Product Engine in action, including pivots and surprising discoveriesApplying the Product Engine to B2B, B2C, and API productsPractical steps for product managers to start implementing the frameworkWhere AI can support the process of finding PMFAdvice for teams and PMs on building something truly valuable—and knowing when you’ve reached PMFAnd much more!You can connect with Giacomo at:LinkedIn: https://www.linkedin.com/in/giacomopoggiali/ Sparing Startups: https://www.sparringstartups.com/ You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:     -  Product for Product Podcast - linkedin.com/company/product-for-product-podcastMatt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

APIs are products but they don’t always get the same focus they deserve to be successful.In this episode of the Product for Product Podcast, we sit down with Deepa Goyal, Product Strategy Leader at Postman and author of API Analytics for Product Managers: Understand key API metrics that can help you grow your business, to explore what it takes to manage APIs as products.Deepa shares her journey from PayPal and Twilio to her current role at Postman, and discusses the rise of the API Product Manager and how APIs are shaping modern organizations.We explore why Deepa wrote her book, who it’s for, and what product managers—whether or not they work directly with APIs—can learn from it. Deepa explains how analytics are critical for measuring API success, the unique challenges of building API products, and why developers are often the primary customers. In addition, she shares insights from her research for the book and the writing process, including how she validated her ideas and what she learned about the API lifecycle, onboarding, and product-market fit. Join Matt and Moshe as they explore with Deepa:The rise of the API Product Manager and how APIs are transforming businessesDifferent types of APIs—internal, external, and partner—and their strategic impactWhy analytics are essential for measuring API product successUnique challenges of building API products Insights from writing and validating her book, API Analytics for PMsThe impact of AI on product management and the future of APIsStrategies for API pricing and revenue modelsKey metrics and leading indicators for API adoption and activationAdvice for product managers looking to build technical skills and drive impactAnd much moreYou can connect with Deepa at:LinkedIn: https://www.linkedin.com/in/deepag/ X: @1sprintatatimeAPI Analytics for Product Managers book: https://www.amazon.com/API-Analytics-Product-Managers-Understand/dp/1803247657 You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:     -  Product for Product Podcast - linkedin.com/company/product-for-product-podcast    Matt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

In this episode we welcome Marcus Polini to share the story behind his recent job search in product leadership, and the practical tools, frameworks, and mindsets that helped him land his next big role.Marcus’s journey, like almost every product person we talked with, is anything but linear. From his roots in geomatics engineering and a hackathon win that led to founding CityConnect, to the hard lessons of startup failure, Marcus’s path has been shaped by persistence and a passion for building. After applying to 60 front-end engineering jobs, he pivoted into project management and quickly found his calling in product, bridging his entrepreneurial appetite with a growing interest in healthcare and technology.Before entering the job market, Marcus headed Product at Medstack, which was acquired and his position was cut during the merger. This was an opportunity for him to explore what he loves doing and where he sees himself in his future career path. His path to his current position, as Head of Product, Platform at Dispatch Integration, inspired us to talk with him on the show about the process and tools he applied.Join Matt and Moshe as we dive deep into Marcus’s most recent job search, exploring:How he used the Phyl Terry’s  “Never Search Alone” process to set up a Job Search Council who helped him move through the searchThe frameworks he used to narrow down his values, passions, and motivating forcesHow he planned his career path as a product, complete with KPIs for personal outcomesThe tactical tools that made a differenceUsing consulting as a path to a full-time product leadership role at Dispatch IntegrationThe critical role of community and mentorship throughout the processThe impact of AI on the modern job searchHow to use AI thoughtfully to enhance, not replace, your authenticity in the job searchHis favorite AI tools and how he uses them And so much more!You can connect with Marcus at:LinkedIn: https://www.linkedin.com/in/mpolini/ Article and template used for the process: https://open.substack.com/pub/productbymarcus/p/the-compass-i-didnt-know-i-neededYou can find the podcast’s page, and connect with Matt and Moshe on Linkedin:Product for Product Podcast - linkedin.com/company/product-for-product-podcastMatt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

What does it really take to build products that drive results, and how can experimentation transform your business? In this episode of the Product for Product Podcast, we sit down with Erin Weigel, author of Design for Impact, Advisor at ABsmartly and Principal Designer, to unpack the essential lessons from her new book and her years of experience at Booking.com.Erin shares why Design for Impact was the book that needed to be written, not just for designers, but for anyone looking to grow their business or product through scientific experimentation and system thinking. Drawing on her journey from internal talks to conference keynotes, Erin reveals how she developed the Conversion Design Process and the “flying wheel” visual that demystifies how businesses really work.Erin also discusses why experimentation requires bravery from leadership, how to get buy-in without waiting for permission, and why simple, proven tools often outperform complex processes. Join Matt and Moshe as we dived with Erin into:Her background and how she got to write the bookThe step-by-step process Erin used at Booking.com—and how it can be generalized to any organizationHow to apply experimentation and A/B testing beyond the design teamWhy ownership in experimentation should be shared, not siloed, to strengthen outcomesThe counterintuitive truths behind successful organizations (and why most common assumptions are wrong)How to start building a culture of experimentation, even if your company isn’t there yetThe importance of “testing like you’re wrong” and being honest with what the data showsPractical frameworks like the 60-40 split (60% low-effort experiments, 40% long-term bets) to prioritize learning and impactAnd so much more!You can connect with Erin at:LinkedIn: https://www.linkedin.com/in/erindoesthings/ Website: erindoesthings.com Design for Impact book: https://erindoesthings.com/design-for-impact/ You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:Product for Product Podcast - linkedin.com/company/product-for-product-podcastMatt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

In this episode, we dive into the world of product localization with Alexander Murauski, CEO of Alconost. Alexander shares his journey building localization solutions and growing Alconost into a leader in the field, drawing from years of experience working with diverse clients and developing in-house tools. Whether you’re launching a new app or scaling a global platform, Alexander’s insights reveal why thoughtful localization is essential for reaching new markets and delivering a seamless user experience.We explore the practical roadmap for successful localization projects, from the earliest planning stages to implementation and quality assurance. Alexander explains the technical and cultural challenges teams face, the importance of choosing the right tools, and how AI is changing the translation landscape. He also discusses how localization impacts everything from UX design to analytics, and why building a strong relationship with translators is key to long-term success.Join Matt and Moshe as we chatted with Alexander about:His journey to founding Alconost and building localization solutionsWhy localization matters for global productsPlanning and roadmapping for multilingual launchesTechnical considerations such as resource separation, font and file formats, and internationalizationBest practices for white-labeled software and client-specific terminologyThe role of localization management platforms and recommendations for someIntegrating localization with source control and development workflowsHow AI and LLMs are transforming translation pipelinesThe importance of context, glossaries, and UX copy editorsQuality assurance and the evolving role of translatorsWhere to start: focusing on the main user journeyAlexander’s advice for product teams and common pitfalls to avoidAnd much more!You can connect with Alexander at:LinkedIn: https://www.linkedin.com/in/amurauski/ Alconost: https://alconost.com/ You can find the podcast’s page, and connect with Matt and Moshe on Linkedin: Product for Product Podcast - linkedin.com/company/product-for-product-podcastMatt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

Digital transformations are hard! But they are a necessary need in our era for any organization who wants to keep their competitive edge, adapt to changing environments, build moats against new disruptors, and grow their market share. And more complex the organization structure and ecosystem are, the more challenging said transformation, hence the need for tools and frameworks to help us.On the show today we met with Kiron Jones, Group Product Manager at Springer Nature, the world's largest academic book and journals publisher. The organization was created by a merger and acquisition of multiple publishers. This created a complex technical environment of many systems to support the business, publish the books and journals, and access the market.In addition, the entire academic publishing sector has moved into a new open access model. Where in the past, libraries had to buy subscriptions to give access to readers for the materials, these days the access to the materials is free, and the authors are the ones charged to publish. Servicing this changed model has challenged the industry to come up with new solutions for the new clients, while still supporting high quality publications.Product management in such an environment, as we learn from Kiron, is a challenging and rewarding task. The tools he and his team are using, and in some cases still on the lookout for, are helping them with stakeholder communication, prioritization and roadmapping, and so much more.Join Matt and Moshe as we chatted with Kiron about:How he got into product managementDigital and product challenges from Mergers and Acquisitions (M&A)Dealing with shifting ecosystem that changes the Product-Market Fit, the user and buyers personas, their user journey, and the tools needed to create value for themDealing with challenges when not knowing who your users areSome of the tools and methods he is using to help with these challengesOpportunities for new tools that can solve more problemsCMS as a tool both for users and for product peopleSome success and failure stories with tools adoptionHow AI can help in elevating some of the workAnd much more!You can connect with Kiron at:LinkedIn: https://www.linkedin.com/in/kironjones/If you are in London, at local product meetingsYou can find the podcast’s page, and connect with Matt and Moshe on Linkedin:Product for Product Podcast - linkedin.com/company/product-for-product-podcastMatt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - 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 ⭐️⭐️⭐️⭐️⭐️

Have you ever been asked by a non-product person “what is it that you actually do?” We are sure you have! We know we and many of our friends have been through this, and it’s never an easy task to explain. Moreover, don’t you sometimes feel that people you work with - your teammates, stakeholders, and even your boss - don’t always understand what a Product Manager job really is? That was the exact problem our guest in this episode was about to solve. And the solution she built is… a children's book!  Meet Tami Reiss, product leader and founder of Leader Within, where she conducts keynote speaking, training, workshops, exec coaching and more! Tami wrote the book “What do Product Managers Do?A primer for aspiring PMs of all ages and parents who aren't sure it's a real job”, due to be released May 15th.Inspired by her own children, the book is a rhyming introduction to leadership and influence. Packaged with beautiful illustrations by V Lubow, and a dictionary with simple definitions of the terms we take for granted, this book does a great - and entertaining - job in explaining what we do, who we work with, some of our challenges and more. Join Matt and Moshe as we chatted with Tami about: - Her background in product and leadership - How she got to write the book - Building the book as a product - Product Management lessons learned from working on the book - A/B testing and user testing - testing the stanza and words in the book - The complexity of the terms and words we are using  - Her vision for the book and how it can help all of us product people - How would AI impact the job of PMs and the team in the future - When is the best time for inspiration for new ideas? - The importance of humility - even to admit that the data might be wrong - Listen to some fun stanza read by Tami, and how much meaning they pack in a few words - What does “dream” means (in the product context) and why is it important for product people to share it - Where can you get the book once it’s out - And much more! You can connect with Tami at: - LinkedIn: https://www.linkedin.com/in/ta.../  - Website:  http://tamireiss.com/  - Join the book’s waitlist: https://theleaderwith.in/book   - Watch the video: https://www.youtube.com/watch?...=qbLq73dKOCA  You can find the podcast’s page, and connect with Matt and Moshe on Linkedin: - http://linkedin.com/company/pr... linkedin.com/company/product-for-product-podcast  - https://www.linkedin.com/in/ma... - linkedin.com/in/mattgreenproduct/ - http://www.linkedin.com/in/mik... - 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 ⭐️⭐️⭐️⭐️⭐️