Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
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Total monthly reach
Estimated from 1 chart position in 1 market.
By chart position
- 🇮🇹IT · Management#1631K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
500 to 5K🎙 Weekly cadence·101 episodes·Last published 1mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
1K to 10K🇮🇹100% - Active Followers
Loyal subscribers who consistently listen
400 to 4K
Market Insights
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Reach across major podcast platforms, updated hourly
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 10 epsHost
Recent guests
Recent episodes
EP101 SaaS isn't ready for AI-driven business models
Mar 20, 2026
39m 10s
EP100 Operational Clarity: How to Make Digital Change Visible, Measurable & Scalable
Feb 12, 2026
36m 57s
EP99 Localization debt: the hidden bottleneck slowing down your launch
Dec 18, 2025
32m 32s
EP98 The Death of Top-Down Product Management
Dec 4, 2025
37m 16s
EP97 What Engineers Wish PMs Knew
Nov 20, 2025
41m 05s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 3/20/26 |  EP101 SaaS isn't ready for AI-driven business models✨ | SaaS pricingAI-driven features+3 | Griffin Parry | EP101 SaaSMadduck+2 | — | AI impactpricing strategies+2 | ExecReps.ai | 39m 10s | |
| 2/12/26 |  EP100 Operational Clarity: How to Make Digital Change Visible, Measurable & Scalable✨ | Digital TransformationChange Management+2 | Val Coin | Via TechnologyProduct Coalition+2 | — | growthsystems+2 | — | 36m 57s | |
| 12/18/25 |  EP99 Localization debt: the hidden bottleneck slowing down your launch✨ | localization debtproduct development+3 | Andrew Sachs | SmartlingGoogle Translate+5 | — | localization solutionsSmartling+5 | — | 32m 32s | |
| 12/4/25 |  EP98 The Death of Top-Down Product Management✨ | bottoms-up leadershipteam empowerment+4 | Margaret-Ann Seger | Product CoalitionThe Future of Product Management and AI | — | autonomyhackathons+4 | — | 37m 16s | |
| 11/20/25 |  EP97 What Engineers Wish PMs Knew✨ | engineersproduct managers+3 | Ali Hafizji | Product CoalitionUnderstanding Outcomes in Engineering and Product Management | — | collaborationprototypes+2 | — | 41m 05s | |
| 11/6/25 |  EP96: Designing for AI Disruption: How to Build Resilient Products✨ | AI disruptionproduct design+6 | Rachel Wolan | Webflowthe Product Coalition Podcast+1 | — | product managementdesign risks+3 | — | 36m 40s | |
| 10/30/25 |  EP95 Building tech solutions that solve real problems vs just adding AI features✨ | AIlegal tech+3 | Bruno Belcastro-Pinter | DefinelyProduct Coalition | — | legal workflowscustomer needs+3 | — | 37m 11s | |
| 10/23/25 |  EP94 Do We Really Need Research for This? How to Know, Fast✨ | user experience researchproduct management+4 | Anna Bello-Elliott | AI toolsthe Product Coalition Podcast+1 | — | research necessityemotional attachments+2 | — | 34m 28s | |
| 10/9/25 |  EP93 Monetize This! How you can turn data, AI, and innovation into revenue.✨ | software monetizationAI+3 | Nicole Segerer | ReveneraProduct Coalition+2 | — | customer valuecollaboration+3 | — | 33m 26s | |
| 9/25/25 |  EP92 The future of operations work✨ | product operationsAI integration+4 | Chris Butler | Product CoalitionFoundational Principles of Product Operations | — | chaotic good mindsetoperational toil+4 | — | 47m 53s | |
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| 8/28/25 |  EP91 Journey into AI product management | SummaryIn this episode of the Product Coalition podcast, host Jay Stansell engages with Gopikrishnan Anilkumar, a principal product leader at Amazon Web Services, to explore his journey into AI product management. Gopikrishnan shares insights on the challenges of transitioning from technical roles to product leadership, the importance of creating impactful AI products, and the ethical considerations that come with AI development. He emphasizes the evolution of purpose in product management, offers advice for aspiring product managers, and reflects on lessons learned across various industries. The conversation concludes with Gopikrishnan's thoughts on the future of AI product management and the significance of quiet learning in leadership.Takeaways* Gopikrishnan's journey reflects the intersection of curiosity and technology.* Transitioning from technical roles to product leadership involves navigating ambiguity.* Creating impactful products is a key motivation for product leaders.* Ethics in AI product management is crucial for responsible innovation.* Writing well can enhance influence in product management.* Curiosity and continuous learning are essential for aspiring product managers.* Understanding business problems is fundamental across industries.* Building strong stakeholder relationships is vital for product success.* Quiet learners can leverage their strengths to observe and think deeply.* The future of AI product management requires adaptability and experimentation.Chapters* 00:00 The Journey into AI Product Management* 04:18 Challenges in Transitioning to Product Leadership* 07:19 Creating Impactful Products* 09:56 Ethics in AI Product Management* 11:17 Unlearning and Adapting in Career* 15:00 Purpose and Leadership in Product Management* 15:53 Advice for Aspiring Product Managers* 17:58 Lessons Across Industries* 19:32 Legacy and Impact in AI* 20:54 Navigating Challenges in Product Management* 22:39 Embracing the Quiet Learner* 24:55 The Future of AI Product Management Get full access to Product Coalition at www.productcoalition.com/subscribe | 29m 47s | ||||||
| 8/21/25 |  EP90 AI in Automative | SummaryIn this episode of the Product Coalition Podcast, Jay Stansell and Nishitha Nalla delve into the transformative role of AI in the automotive industry, particularly in telematics. They discuss the complexities of data capture, the importance of real-time decision-making, and the ethical considerations surrounding data usage. The conversation also touches on the implications of AI for insurance, regulatory compliance, and the future of automotive technology. Nishitha shares insights from her extensive experience in the field, highlighting the need for proactive risk management and the potential for AI to revolutionize vehicle safety and efficiency.Takeaways* AI in automotive is about real-time decision-making.* Data capture is crucial for improving vehicle safety.* Insurance companies are adapting to AI-driven risk assessments.* Ethics in data collection is paramount for consumer trust.* The automotive industry is slowly opening up to data sharing.* Model selection must consider regulatory compliance and safety.* AI can significantly reduce collision rates and improve safety.* Future vehicles will anticipate risks before they materialize.* AI in telematics transforms cars into active safety partners.* Career pathways in AI require understanding of data and models.Chapters* 00:00 AI in Telematics: An Overview* 05:09 Data Capture in Automotive AI* 09:52 The Role of Data Sharing in the Industry* 14:55 Model Selection and Regulatory Compliance* 19:55 Insurance Implications of AI in Vehicles* 24:54 Ethics of Data Collection and Usage* 30:09 Future Innovations in Automotive AI* 32:48 Career Pathways in AI and Telematics Get full access to Product Coalition at www.productcoalition.com/subscribe | 33m 01s | ||||||
| 8/7/25 |  EP 89 “Pixels, Problems & Pivot Tables: The Designer’s Role in Modern BI” | SummaryIn this episode of the Product Coalition podcast, Jay Stansell interviews Nipurn Doshi, lead product designer at Sigma Computing. They discuss the intricate relationship between design and data, the impact of AI on product design, and the importance of user experience in data tools. Nipurn shares insights on maintaining creativity in a long-term role, the challenges of onboarding users in modern products, and offers advice for designers working with complex data sets. The conversation emphasizes collaboration, the evolving landscape of design, and the role of emerging technologies like vibe coding.Takeaways* Nipurn Doshi emphasizes the importance of small design choices in data tools.* AI is reshaping user interactions with data products.* Design decisions can reveal unforeseen problems and solutions.* User experience should prioritize clarity and intuition.* Collaboration is essential in product design.* Onboarding experiences must adapt to modern user expectations.* Designers should embrace complexity as an opportunity for simplification.* Maintaining creativity in a long-term role requires continuous challenges.* New designers should focus on feedback and iteration.* Vibe coding tools can enhance productivity but should not replace design intuition.Chapters* 00:00 Introduction to Product Design and Data* 02:01 The Impact of Small Design Choices* 05:00 AI's Influence on Product Design* 07:29 User Experience and Onboarding in Data Tools* 10:22 Maintaining Creativity in Long-Term Roles* 13:24 Advice for New Designers* 15:52 Collaboration in Design* 18:30 The Role of Vibe Coding in Design* 21:10 Conclusion and Reflections on Design Get full access to Product Coalition at www.productcoalition.com/subscribe | 29m 30s | ||||||
| 7/31/25 |  EP88 Unite, Innovate, Elevate: Transform Product Strategy | Summary In this episode of the Product Coalition podcast, Jay Stansell interviews Andrea Saez, head of product marketing at Turtle and co-author of 'The Product Momentum Gap.' They discuss the critical intersection of product management and marketing, emphasizing the importance of collaboration between product managers (PMs) and product marketing managers (PMMs). Andrea shares insights on building shared understanding early in the product development process, focusing on user behaviors rather than just features, and the significance of maintaining customer-centric values while balancing commercial objectives. The conversation also touches on the importance of documentation, prioritizing roadmaps with OKRs, and recognizing signs of a product momentum gap.Takeaways* Collaboration between PMs and PMMs is essential for success.* Understanding user behaviors is more important than just focusing on features.* PMMs should be involved from the very beginning of product development.* Customer centricity and commercial focus go hand in hand.* Documentation is key to effective value creation.* Identifying leading indicators can help avoid pitfalls.* The product momentum gap can be avoided with proactive strategies.* Asking customers directly can provide valuable insights.* Balancing short-term and long-term strategies is crucial.* Continuous learning and adaptation are necessary for product success.Chapters* 00:00 Introduction to Andrea Sayers and Her Expertise* 01:09 The Passion for Cross-Functional Collaboration* 03:15 Understanding Misunderstandings Between PMs and PMMs* 04:56 Building Shared Understanding Early* 07:13 The Importance of Proactive Strategies* 08:18 The Role of PMMs in Strategy Definition* 10:16 Shifting Focus from Value Statements to User Behaviors* 12:28 Demonstrating Value to New Users* 14:28 Avoiding Vanity Metrics in Customer KPIs* 16:14 Balancing Customer-Centricity with Financial Focus* 18:57 Documenting Value Creation Plans* 21:07 Distinguishing Between Product Features and Value* 22:26 Preparing for Q4 and Roadmapping* 23:44 Influencing Executive Teams for Change* 26:15Recognizing Signs of the Product Momentum Gap Get full access to Product Coalition at www.productcoalition.com/subscribe | 31m 33s | ||||||
| 7/21/25 |  EP87 Inside the Mind of a Global Product Leader: Lessons from the Front Lines | SummaryIn this episode of the Product Coalition podcast, host Jay Stansell interviews Alex Blinoff, a global product executive with over 15 years of experience. They discuss the evolving role of product managers, the importance of communication and collaboration, and the impact of new technologies on product management. Alex shares insights on building a strong product culture, the shift from viewing product managers as mini CEOs to strategic architects, and the cultural differences in product management across various regions. The conversation also touches on the ethics of AI, the future ratio of product managers to engineers, and advice for aspiring product managers.Takeaways* The role of product managers is evolving to focus more on communication and collaboration.* Successful product leadership requires adaptability to changing technologies.* Building a strong product culture is essential for empowering teams.* Product managers are shifting from being seen as mini CEOs to strategic architects.* Cultural differences significantly impact product management practices.* New tools are changing the landscape of product development.* Empathy and communication skills are crucial for modern product managers.* Ethics in AI is becoming increasingly important in product management.* The ratio of product managers to engineers may shift due to AI tools.* Maintaining a stable core vision is key in uncertain environments.Chapters* 00:00 Introduction to Product Leadership* 01:34 The Evolving Role of Product Managers* 04:20 Adapting to Technological Changes* 06:52 Cultural Differences in Product Management* 09:29 The Impact of New Tools on Product Development* 12:52 Building a Strong Product Culture* 15:33 Skills for Future Product Managers* 17:56 Navigating AI and Ethics in Product Management* 19:36 Strategies for Resilience in Uncertain Markets* 20:22 Advice for Aspiring Product Leaders Get full access to Product Coalition at www.productcoalition.com/subscribe | 26m 46s | ||||||
| 7/13/25 |  EP86 From Pipelines to Product Vision: The Analyst’s Critical Role | Summary In this conversation, Jay Stansell and Deepak Chanda explore the evolving roles of data analysts and engineers in product development. They discuss the importance of aligning data teams with product vision from the outset, the changing landscape of data analysis, and the need for curiosity and collaboration in driving product innovation. Deepak shares insights on how analysts can create value, build relationships with product teams, and the misconceptions surrounding their roles. The discussion also touches on the future of data analysis in the context of AI and the importance of a solid tech stack.Takeaways* Data is integral to decision-making in every aspect of life.* Early involvement of data engineers in product discovery is crucial.* Analysts have evolved from support roles to strategic partners.* Curiosity and storytelling are key traits for successful analysts.* Collaboration between product managers and data teams enhances product outcomes.* Misconceptions about analysts being just dashboard creators persist.* New analysts should voice their ideas and take initiative.* Leaders should encourage experimentation and provide learning opportunities.* A solid tech stack is essential for data-driven innovation.* The future of data analysis will be shaped by AI and automation.Chapters* 00:00 Introduction to Data Pipelines and Product Vision* 03:55 Aligning Data Engineers with Product Teams* 09:39 The Evolving Role of Data Analysts* 14:54 Key Habits for Effective Analysts* 19:52 Misconceptions About Data Analysts* 22:15 Advice for New Data Analysts* 25:10 Tools and Technologies in Data Analysis* 28:40 The Future of Data Analysis and Engineering* 29:38 Integrating Analysts in Product Strategy Get full access to Product Coalition at www.productcoalition.com/subscribe | 33m 35s | ||||||
| 6/9/25 |  EP 85 The MVP of My Career: Starting Small, Scaling Fast, and Surviving the Pivot | SummaryIn this episode of the Product Coalition podcast, host Jay Stansell interviews Raksha Vashishta, a FinTech product leader and founder of HerTechStory. They discuss Rakesh's journey as an immigrant woman in tech, the challenges she faced, and the importance of mentorship and community. Raksha shares valuable insights on building transitional career skills, navigating cultural differences, and the significance of owning one's authentic self. The conversation emphasizes the need for diverse perspectives in tech and the impact of storytelling in product management.Takeaways* Raksha Vashishta is a FinTech product leader with a unique journey.* HerTechStory amplifies the voices of women in tech.* Cultural adaptation is a significant challenge for immigrants.* Owning your authentic self is crucial for success.* Building technical credibility is essential in tech roles.* Don't wait for opportunities; create your own.* Storytelling is vital in conveying product value.* Mentorship can be a two-way street of learning.* Diverse perspectives enhance product development.* Trust your intuition and stay true to yourself.Chapters* 00:00 Introduction to the Product Coalition Podcast* 02:02 Meet Raksha Vashishta: A FinTech Innovator* 03:57 The MVP of Your Career: A Personal Journey* 06:31 Navigating Cultural Barriers as an Immigrant* 12:24 Building Transitional Career Skills* 15:43 Essential Skills for Success in a New Country* 19:34 Cultural Differences in the Workplace* 21:45 Values for a Holistic Lifestyle* 26:22 The Impact of HerTechStory* 29:01 Advice for Young Women in Tech Get full access to Product Coalition at www.productcoalition.com/subscribe | 31m 33s | ||||||
| 6/1/25 |  EP84 Challenges unique to AI products | In this episode of the Product Coalition Podcast, host Jay Stansell engages with Michael Smith, a veteran product leader, to explore the unique challenges of building AI products. They discuss the need for a redefined product strategy that embraces the disruptive nature of AI, the importance of understanding customer needs, and the balance between human and AI collaboration. The conversation delves into the principles of product management in an AI context, the role of prompt engineering, and the significance of metrics that truly reflect product effectiveness. Michael emphasizes the need for organizations to adopt a team-oriented approach to AI implementation and the importance of change management in overcoming resistance to new technologies.Takeaways* AI requires a redefined product strategy.* Don't just optimize existing processes; rethink them.* The principles of product management remain unchanged.* AI product discovery differs from traditional SaaS.* Prompt engineering is crucial in the discovery phase.* Traditional ML concepts still hold value in AI.* Customer adoption of AI products faces unique challenges.* Influencing change requires a blend of intellectual and emotional appeal.* Vanity metrics can mislead product effectiveness assessments.* MVP for AI products should focus on core capabilities, not perfection.Chapters* 00:00 Navigating the AI Product Landscape* 06:15 Redefining Product Strategy for AI* 11:02 Principles vs. Frameworks in AI Product Management* 13:08 AI Product Discovery vs. Traditional SaaS* 16:56 The Role of Prompt Engineering in AI* 21:11 Integrating Traditional ML Concepts with AI* 26:21 Customer Adoption Challenges in AI Products* 30:01 Influencing Change within Organizations* 33:18 Identifying Vanity Metrics in AI Products* 37:35 Defining the MVP for AI Products Get full access to Product Coalition at www.productcoalition.com/subscribe | 39m 33s | ||||||
| 4/24/25 |  EP83 Profit by Design: Mastering SaaS Pricing and Packaging to Maximize Growth | In this episode of the Product Coalition Podcast, host Jay Stansell engages with Dan Balcauski, a pricing expert, to explore the intricacies of SaaS pricing and packaging. They discuss common misconceptions about pricing, the importance of understanding customer value, and the role of qualitative research in pricing strategies. Dan emphasizes the need for effective pricing governance and accountability within organizations, as well as the significance of unit economics in today's market. The conversation also touches on international pricing strategies and the challenges of packaging multiple products. Overall, this episode provides valuable insights for product leaders looking to master pricing and drive growth.Takeaways* Pricing is often treated as just a number, but it's more complex.* Understanding customer value is crucial for effective pricing.* Perceived value significantly influences customers' willingness to pay.* Qualitative research helps uncover true customer needs and values.* Effective pricing governance is essential for organizational success.* Product managers should prioritize pricing in their strategies.* Unit economics have become increasingly important in pricing discussions.* Different markets require tailored pricing strategies.* Avoid over-complicating pricing structures too early.* Start pricing discussions with the customer in mind.Chapters* 00:00 Introduction to Pricing Mastery* 05:25 Common Misconceptions in Pricing* 11:54 Understanding Value in Pricing* 17:16 Research Tactics for Pricing* 21:42 The Role of Qualitative Research* 25:14 Navigating Product Packaging and Pricing* 29:59 Accountability in Pricing Decisions* 32:40 The Importance of Pricing in Product Management* 35:28 Unit Economics and Pricing Strategy* 39:00 International Pricing Strategies Get full access to Product Coalition at www.productcoalition.com/subscribe | 40m 46s | ||||||
| 4/17/25 |  EP82 Delight: Building products people love, not just use | In this episode of the Product Coalition podcast, Jay Stansell interviews Nesrine Changuel, a product expert with a PhD in streaming media algorithms. They discuss the importance of building products that not only serve functional needs but also create emotional connections with users. Nisreen shares insights from her experience at major companies like Google and Spotify, emphasizing the role of emotional connection in user loyalty and product differentiation. She introduces her Delight Framework, which helps product teams integrate emotional motivators into their designs. The conversation also explores real-world examples of emotional delight in both B2C and B2B products, the challenges of creating a culture of delight within organizations, and the misconceptions surrounding product delight. Nisreen is also in the process of writing a book on this topic, aiming to provide actionable insights for product managers.Want to appear on the show? Head to ProductCoalition.comTakeaways* Emotional connection is crucial for product success.* Products should address both functional and emotional motivators.* User loyalty is significantly enhanced by emotional connections.* The Delight Framework helps integrate emotional design into products.* Accidental moments of delight can create strong user bonds.* Inclusiveness is essential in emotional product design.* B2B products can also benefit from emotional connections.* Real-world examples show the impact of emotional design.* Creating a culture of delight requires intentionality.* The upcoming book aims to provide actionable insights for product managers.Chapters* 00:00 Introduction to Product Delight* 03:40 The Importance of Emotional Connection* 06:37 Defining Emotional Connection in Products* 09:05 Emotional Connection and User Loyalty* 11:04 The Delight Framework Explained* 14:30 Accidental Moments of Delight* 18:04 Emotional Connection in B2B Products* 20:37 Real-World Examples of Delight* 23:53 Building a Culture of Emotional Delight* 27:01 Common Misconceptions in Product Delight* 32:49 The Book Writing Journey* 35:40 Impact of the Upcoming Book Get full access to Product Coalition at www.productcoalition.com/subscribe | 36m 35s | ||||||
| 4/10/25 |  EP81 The AI-Powered Product Manager | In this engaging conversation, Dr. Brian Glassman shares his insights on the transformative impact of generative AI on product management. With over 25 years of experience, he discusses the practical applications of AI tools, the importance of quality control in AI outputs, and how generative AI is leveling the playing field for product managers. Brian also explores future trends in product management, the value of knowledge creation in the AI era, and offers advice for aspiring professionals in engineering and product management.Takeaways* Generative AI is revolutionizing product management workflows.* Quality control is essential for trusting AI outputs.* Different AI models serve specific tasks effectively.* Generative AI can level the playing field for junior product managers.* Understanding customer needs remains fundamental in product management.* Product managers should adapt their use of AI based on their career level.* Future product management will require constant skill development.* Knowledge creation will still hold value despite AI advancements.* Generative AI has applications in mechanical engineering as well.* Mentorship and guidance are crucial for new entrants in the field.Chapters* 00:00 Introduction to Generative AI and Product Management* 04:53 Generative AI in Product Management Workflows* 13:04 Quality Control and Trust in AI Outputs* 18:32 Real-World Applications of Generative AI* 23:20 Navigating Generative AI at Different Career Levels* 25:28 Future Trends in Product Management and AI* 30:00 The Value of Knowledge Creation in the AI Era* 32:36 Generative AI in Mechanical Engineering and Career Advice Get full access to Product Coalition at www.productcoalition.com/subscribe | 35m 30s | ||||||
| 4/3/25 |  EP80 From Engineering to Product Management | In this episode of the Product Coalition podcast, Jay Stansell speaks with Naomi Fitzpatrick about the intricacies of building AI-powered products that genuinely drive revenue and engagement. They discuss the importance of focusing on user needs rather than just technology, the significance of thorough product discovery, and the strategic challenges companies face when integrating AI into their offerings. Naomi shares her journey in product management, emphasizing the need for collaboration with engineering teams and the role of experimentation in developing AI solutions. The conversation also touches on how AI can enhance existing products, the importance of onboarding for user adoption, and Naomi's personal AI tech stack.Want to appear on the show? Head to ProductCoalition.comTakeaways* AI features often go unused, failing to drive business value.* Building technology should focus on helping people.* Understanding customer problems is crucial for AI solutions.* Involving engineering early in the product process is essential.* AI should enhance existing products rather than replace them.* AI can drive revenue growth indirectly by improving efficiency.* Onboarding is critical for ensuring user adoption of AI features.* Experimentation is key in developing AI solutions.* AI can handle high volumes of tasks, relieving human workload.* Aligning company strategy with AI is vital for long-term success.Chapters* 00:00 The AI Product Landscape* 03:43 Naomi's Journey in Product Management* 05:02 Building for People, Not Just Technology* 06:48 Starting Points for AI Product Teams* 10:05 The Importance of Product Discovery* 12:07 Experimentation in AI Development* 15:06 Strategic Challenges for AI Adoption* 19:00 Aligning Company Strategy with AI* 26:56 AI's Role in Revenue Growth* 33:21 Adjusting Pricing Structures for AI Features* 36:51 Ensuring Adoption and Retention of AI Products* 44:13 Naomi's Personal AI Tech Stack Get full access to Product Coalition at www.productcoalition.com/subscribe | 46m 00s | ||||||
| 3/29/25 |  EP79 Leveraging My (Dis)ability | In this episode of the Product Coalition podcast, Jay Stansell interviews Jessica Toussaint, a product leader with a rich background in companies like Amazon and CVS Health. They discuss Jessica's personal journey with ADHD, how it has shaped her approach to product management, and the importance of inclusive design in driving innovation. The conversation delves into the challenges and strengths associated with ADHD, particularly in high-pressure environments, and how self-awareness can enhance communication and leadership skills. Jessica shares insights on navigating professional relationships and the evolving landscape of product roles, emphasizing the value of diverse experiences in fostering creativity and problem-solving.Want to appear on the show? Head to ProductCoalition.comTakeaways* Jessica Toussaint has transformed her ADHD into a strength in product management.* Understanding ADHD has helped Jessica navigate her personal and professional life.* Self-awareness is crucial for effective communication and leadership.* Crisis mode can be a productive state for those with ADHD.* Inclusive design is essential for driving innovation in product development.* Building trust within teams allows for open communication about challenges.* Diversity of experience in roles enhances creativity and problem-solving.* Jessica emphasizes the importance of continuous personal growth.* Navigating the complexities of ADHD requires understanding and adaptation.* Jessica's journey highlights the need for awareness around neurodiversity in the workplace.Chapters* 00:00 Introduction to Product Mastery* 01:27 Jessica's Journey in Product Management* 04:20 Personal Insights on ADHD* 09:49 Understanding ADHD's Impact on Work* 11:58 Leveraging ADHD in Product Management* 19:45 Communicating ADHD in Professional Settings* 24:35 Navigating Crisis Mode in Product Development* 28:12 Balancing Strengths and Weaknesses* 32:11 Future Opportunities and Job Descriptions Get full access to Product Coalition at www.productcoalition.com/subscribe | 36m 15s | ||||||
| 3/22/25 |  EP77 Designing AI products for high stakes problems | In this conversation, Jay Stansell and Julie Harris, Director of Product at Mind Foundry, discusses the transformative role of AI in high-stakes scenarios, particularly in risk detection across various industries. She shares insights from her diverse career journey, highlighting the challenges organizations face with data overload and the importance of customer experience in AI solutions. Julie emphasizes the need for a product-based approach to AI adoption, the critical role of data engineering, and the significance of human-AI collaboration in enhancing decision-making processes. She also addresses the risks associated with AI and the necessity for continuous learning and model adaptation to keep pace with evolving challenges.Want to appear on the show? Head to ProductCoalition.comTakeaways* AI products are designed for high-stakes scenarios.* Data can be both an opportunity and a risk.* AI can significantly reduce false positives in fraud detection.* Customer experience is crucial in AI solutions.* Organizations should adopt a product-based approach to AI.* Data engineering is essential for effective AI implementation.* AI should augment human decision-making, not replace it.* Continuous learning is vital for AI model effectiveness.* Understanding user workflows is critical for AI product design.* AI adoption carries inherent risks that must be managed.Chapters* 00:00 Introduction to Mind Foundry and AI's Role* 02:38 Jay's Career Journey and the Evolution of Data* 06:18 Challenges in Risk Detection and Data Overload* 10:02 The Importance of Customer Experience in AI Solutions* 12:19 AI as a Solution for Fraud Detection* 16:07 Adopting AI: Strategies for Organizations* 21:21 Data Engineering: The Backbone of AI Products* 23:23 AI's Impact on Jobs and Human-AI Collaboration* 28:03 Managing Risks in AI Adoption* 32:16 Continuous Learning and Model Adaptation Get full access to Product Coalition at www.productcoalition.com/subscribe | 38m 14s | ||||||
| 3/15/25 |  EP78 Feature Definitions are the Foundation of Effective AI Application | In this conversation, Jay Stansell and Conor Joyce delve into the significance of feature definitions in AI applications, emphasizing the need for clear definitions to drive meaningful outcomes. They discuss the transition from product-led growth to behavior-led growth, highlighting the importance of understanding user behavior and the role of behavioral science in product development. Conor shares insights on practical frameworks and resources for improving feature definitions and the overall impact of AI in product design.Want to appear on the show? Head to ProductCoalition.comTakeaways* Feature definitions are crucial for effective AI applications.* Understanding user outcomes is more important than just outputs.* Behavioral science can enhance product development processes.* The tech industry needs to focus more on research and understanding user behavior.* There is a shift from product-led growth to behavior-led growth.* AI should solve real problems rather than just follow trends.* Organizations should not overlook established ML solutions for new AI trends.* Practical frameworks can help improve feature definitions and product outcomes.* Investing time in research can uncover significant growth opportunities.* Career advancement can be achieved by focusing on impactful AI features.Chapters* 00:00 Introduction to AI and Impactful Features* 08:03 The Importance of Feature Definitions* 12:12 Outcomes vs Outputs in AI* 21:18 Behavioral Science in Product Development* 30:03 The Shift from Product-Led to Behavior-Led Growth* 33:14 AI's Role in Feature Definitions* 39:28 Practical Frameworks and Resources for Improvement Get full access to Product Coalition at www.productcoalition.com/subscribe | 44m 09s | ||||||
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