Contacts
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Product for Product is a show hosted by Matt Green and Moshe Mikanovsky aimed at helping listeners navigate the growing depth of product management tools while also providing our insights...
show more
Product for Product is a show hosted by Matt Green and Moshe Mikanovsky aimed at helping listeners navigate the growing depth of product management tools while also providing our insights into the categories that make up the PM role. We will take listeners with us on a journey of discovery through areas of product analytics, road mapping, productivity and many others. If you want to keep up with the latest in product management come along for the ride!
Connect with us on LinkedIn:
https://linkedin.com/in/mattgreenproduct
https://linkedin.com/in/mikanovsky
Connect with us on Youtube:
https://www.youtube.com/@productforproduct
show less
Connect with us on LinkedIn:
https://linkedin.com/in/mattgreenproduct
https://linkedin.com/in/mikanovsky
Connect with us on Youtube:
https://www.youtube.com/@productforproduct
Episodes & Posts
Episodes
Posts
7 JAN 2026 · 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/stav-charkham-1b6474176/overlay/about-this-profile/
You can also connect with us and find more episodes:
- Product for Product Podcast:
http://linkedin.com/company/product-for-product-podcast
- Matt Green:
https://www.linkedin.com/in/mattgreenproduct/
- Moshe Mikanovsky:
http://www.linkedin.com/in/mikanovsky
Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
24 DEC 2025 · 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 handoff
- When vibe coding works, and where you still need engineering and design expertise
- The realities of code generation, versioning, Supabase integration, and why Lovable stood out from the competition at the time she chose it
- Using Lovable for product sense interviews
- Practical tips: breaking tasks into smaller prompts, saving tokens with up-front documents, and why the first prompt is the most important
- The trade-offs of using AI tools for MVPs, B2B vs. B2C products, and where privacy and maintainability concerns come in
- Responses from engineers and designers, what these tools mean for their work, learning curves, and whether they help or hinder junior team members
- Expectations vs. reality: how close AI tools get you to the finish line, and why “the last mile” is the toughest
- Conundrums, gotchas, frustrations, and how to keep flexibility in your workflow
- Why do PMs must always ask “Why?”, and why AI alone can't replace a critical data mindset
- And much more!
Want to connect with Elena or learn more?
- LinkedIn:
https://www.linkedin.com/in/elena-levi-data/overlay/about-this-profile/
You can also connect with us and find more episodes:
- Product for Product Podcast:
http://linkedin.com/company/product-for-product-podcast
- Matt Green:
https://www.linkedin.com/in/mattgreenproduct/
- Moshe Mikanovsky:
http://www.linkedin.com/in/mikanovsky
Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
10 DEC 2025 · 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 settings
- The compliance process: from ISO and SOC2 to GDPR and internal AI guidelines
- Why Microsoft Copilot is becoming the default LLM in enterprises, and what you still need to watch out for
- Building internal agents and chat interfaces to answer roadmap questions and handle stakeholder requests
- Lessons learned moving from over-engineered platforms to simpler, compliant AI tools
- Creative AI workflows, including removing branded assets between Copilot and Figma and orchestrating information for various departments
- The ongoing struggle: data redaction, internal transparency, and the limits of controlling generative models
- LLM orchestration: mixing old-school logic with new AI capabilities, and knowing when not to use AI
- Security best practices and the importance of a trust-based compliance mindset across the organization
- What happens when stakeholders use AI tools in ways product never expected
- Opportunities for Copilot and DevOps to streamline maintenance, documentation, and stakeholder requests
- The future of AI in sustainability, product management, and business decision-making
- And much more!
Want to connect with Eva or learn more?
- LinkedIn
https://www.linkedin.com/in/evagaode/overlay/about-this-profile/
You can also connect with us and find more episodes:
- Product for Product Podcast: http://linkedin.com/company/product-for-product-podcast
- Matt Green: https://www.linkedin.com/in/mattgreenproduct/
- Moshe Mikanovsky:
http://www.linkedin.com/in/mikanovsky
Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
26 NOV 2025 · 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/slobodanmanic
- 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/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 ⭐️⭐️⭐️⭐️⭐️
12 NOV 2025 · 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/product-for-product-podcast
- Matt Greenhttps://www.linkedin.com/in/mattgreenproduct/https://www.linkedin.com/in/mattgreenproduct
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 ⭐️⭐️⭐️⭐️⭐️
29 OCT 2025 · 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 discovery
- Why so many teams appear busy but are stuck making “alibi progress” instead of real impact
- The Progress Wheel: a visual tool for mapping how strategic, measurable change drives product success
- How to think critically about frameworks, challenging readers to adapt tools for their own context, rather than following them blindly
- The book’s practical structure: workbook-like prompts and non-linear sections for self-assessment and targeted improvement
- Key building blocks of strategy and how they relate to various templates and organizational maturity
- Linking company strategy to product strategy, and the strategic thinking required for product leaders
- Using OKRs to measure if your strategy is working, and spotting when OKRs reveal deeper strategic problems
- Role of discovery in reducing strategic risk and building conviction, including how Tim’s Evidence Strength Matrix helps teams evaluate signals
- First steps for teams looking to connect their frameworks and drive improvement
- And much more!
Thinking about making progress in your product work? Check out Tim’s book athttp://realprogressbook.com/ and connect with him on LinkedIn orhttp://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 ⭐️⭐️⭐️⭐️⭐️
1 OCT 2025 · 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 solutions
- A visual ecosystem diagram capturing the full product management cycle, including ideation, strategy, delivery, and ongoing monitoring
- The Product Manager Tool Mapping Template, guiding PMs to connect needs with tool options, while considering organization size, culture, maturity, and budget
- Insights on the interconnectedness of modern product tools and prioritizing tasks by urgency and importance
- The ever-evolving list of 150+ product management tools on Airtable and the challenge of keeping resource lists up-to-date
- Practical product selection criteria, including wide vs. deep tools, entry-level vs. advanced features, integration requirements, AI support, vendor reliability, and customer support
- The importance of defining success criteria, creating rigorous test cases, and assessing support and long-term costs before making a commitment
- Why it’s crucial to evaluate not just features and price, but factors like company culture, scalability, and support processes
- Moshe’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:
- https://miro.com/miroverse/product-manager-toolkit
- Products for Good: http://productsforgood.co/
- LinkedIn:
http://www.linkedin.com/in/mikanovsky
And don’t forget to connect with Matt and the podcast:
- http://linkedin.com/company/product-for-product-podcast
-
https://www.linkedin.com/in/mattgreenproduct/
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 ⭐️⭐️⭐️⭐️⭐️
17 SEP 2025 · 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 vision
- How Hunch enables any team member to query data using a ChatGPT-like interface and ready-made templates
- Turning raw insights into dashboards and customizable data apps with no technical background required
- Hunch’s two big differentiators: optimizing for speed and for true autonomy
- Real-world use cases, from engineers and PMs, to data-driven decision-making in action
- How Hunch supports both quantitative (what happened in the product) and qualitative (what should happen next) analysis, including transcript integrations
- Matan’s philosophy on building trust: prioritizing transparency over rigid accuracy and giving users control over context
- Best practices for onboarding, context management, and building knowledge sets in Hunch
- Lessons from building their public roadmap and belief in open, user-driven product development
- The future of product management as a hybrid of visionary leadership and orchestration
- And much more!
Curious to try Hunch or learn more? Connect with Matan:
- LinkedIn:https://www.linkedin.com/in/matan-kleyman/https://www.linkedin.com/in/matankleyman/https://www.linkedin.com/in/matan-kleyman/
- Hunch:https://hunch.team/https://www.hunch.dev/
https://hunch.team/
You can find the podcast’s page, and connect with Matt and Moshe on LinkedIn:
- http://linkedin.com/company/product-for-product-podcast
- https://www.linkedin.com/in/mattgreenproduct/
- 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 ⭐️⭐️⭐️⭐️⭐️
3 SEP 2025 · 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 ofhttps://arkhet.com/.
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 tools
- How Arkhet integrates the best of traditional wireframing with generative AI to speed up prototyping
- The differences between Arkhet and other AI design/prototyping products
- How it streamlines the collaboration between product managers and designers
- Beta success stories and why Product Managers are choosing Arkhet over other AI tools
- Pivoting from a designer-first ICP to focusing on Product Managers—and why both roles will remain crucial
- Why AI won’t replace Product Managers or designers, but can help them work better and faster
- The roadmap for style guide personalization, Figma integration, and beyond
- And much more!
You can connect with Nathan at:
- LinkedIn: https://www.linkedin.com/in/ngainathan/
- https://arkhet.com/
You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:
- http://linkedin.com/company/product-for-product-podcast- linkedin.com/company/product-for-product-podcast
- http://linkedin.com/in/mattgreenproduct/ - linkedin.com/in/mattgreenproduct/
- http://www.linkedin.com/in/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 ⭐️⭐️⭐️⭐️⭐️
19 AUG 2025 · 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 http://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 managers
- How product teams lose context and fall out of sync—with communication making up to 80% of a PM’s role
- The evolution of Samepage.ai from a “blank slate” approach beyond traditional tools like email and Slack
- Leveraging 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 loop
- The real challenges of transmitting vs. interpreting information, and supporting teams with diverse learning styles and cultural backgrounds
- Early success stories from beta users
- Sahil’s process for validating and iterating Samepage, building in stages, and focusing on solving the right problems
- The future vision for Samepage.ai and how context-aware AI tools will enable better information retrieval, synthesis, and distribution
- And 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.ai
- http://samepage.ai/
You can find the podcast’s page, and connect with Matt and Moshe on Linkedin:
- http://linkedin.com/company/product-for-product-podcast- linkedin.com/company/product-for-product-podcast
- http://linkedin.com/in/mattgreenproduct/ - linkedin.com/in/mattgreenproduct/
- http://www.linkedin.com/in/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 ⭐️⭐️⭐️⭐️⭐️
Product for Product is a show hosted by Matt Green and Moshe Mikanovsky aimed at helping listeners navigate the growing depth of product management tools while also providing our insights...
show more
Product for Product is a show hosted by Matt Green and Moshe Mikanovsky aimed at helping listeners navigate the growing depth of product management tools while also providing our insights into the categories that make up the PM role. We will take listeners with us on a journey of discovery through areas of product analytics, road mapping, productivity and many others. If you want to keep up with the latest in product management come along for the ride!
Connect with us on LinkedIn:
https://linkedin.com/in/mattgreenproduct
https://linkedin.com/in/mikanovsky
Connect with us on Youtube:
https://www.youtube.com/@productforproduct
show less
Connect with us on LinkedIn:
https://linkedin.com/in/mattgreenproduct
https://linkedin.com/in/mikanovsky
Connect with us on Youtube:
https://www.youtube.com/@productforproduct
Information
| Author | Product for Product Management |
| Organization | Matt Green & Moshe Mikanovsky |
| Categories | Technology , Education , Business |
| Website | www.spreaker.com |
| matt@nimbled.io |
Copyright 2026 - Spreaker Inc. an iHeartMedia Company
