Why Products Fail AFTER Launch? The TRUTH About Product Post-Mortems!

Dive into the critical reasons behind **post-launch product failure** in this insightful **AI Product Management** explainer. Learn **why products fail** after launch, essential knowledge for every **product manager** and aspiring **AI PM**. Boost your **career growth** by understanding these common pitfalls, drawing from **real-world case studies** to prevent your next product from failing and refine your **product strategy**.In this cinematic video, we dissect the various factors contributing to product demise post-launch – from market fit issues and unexpected competition to poor execution, neglecting user feedback, and lack of ongoing customer engagement. Discover the importance of continuous iteration, robust feedback loops, and adapting your **product roadmap** based on real-time data to ensure sustained success for your **AI products**. Don't let your hard work go to waste – equip yourself with the strategies to identify early warning signs and steer your product towards long-term viability.This explainer is packed with actionable advice for navigating the complex journey of product development and beyond. Whether you're looking to excel in a **PM interview** or simply enhance your understanding of market dynamics, this video is a must-watch. Join our community and master the art of successful product management.What are your experiences with product failures or successes? Share your insights in the comments below!#ProductFailure #AIPMInsights #ProductStrategy #CareerGrowth #ProductManagerTips⭐ **Subscribe for more AI Product Management insights:**▶️ Subscribe: https://www.youtube.com/@aiproductmanagement?sub_confirmation=1

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Episoder(65)

Measuring Quality in GenAI: Beyond Accuracy

How do you measure whether a Generative AI product is actually good?Traditional software gives us relatively clear metrics: accuracy, latency, uptime, conversion, and errors. GenAI changes the equatio...

29 Sep 6min

Jobs to Be Done in AI: Stop Building Features, Start Solving the Job

AI products are changing faster than traditional product management playbooks can keep up. In this episode of the AI Product Management Podcast, we explore how the Jobs to Be Done (JTBD) framework can...

27 Sep 7min

From Zero to AI PM: How to Build an AI Product Management Career

What does it really take to become an AI Product Manager when you're starting from zero?AI is changing product management faster than most organizations can adapt. But becoming an AI PM isn't simply a...

25 Sep 6min

Occam’s Razor: The Product Manager’s Toolkit for Better Decisions

Occam’s Razor: The Product Manager’s Toolkit for Better DecisionsProduct management is full of complexity — competing priorities, conflicting data, stakeholder opinions, customer demands, technical co...

21 Sep 7min

Model Drift: Watch out AI's Silent Killer

Model Drift: Watch Out — AI’s Silent KillerAI systems can look like they’re working perfectly while quietly becoming less accurate, less relevant, and less reliable over time.In this episode, we explo...

19 Sep 6min

Data Flywheels: Building Defensible Moats for AI Products

AI products can be copied- but the data, feedback loops, and learning systems behind them can create a moat that is much harder to replicate.In this episode, we explore data flywheels and how AI produ...

17 Sep 5min

When AI Does What We Asked, Not What We Meant

AI systems are getting better at optimizing goals, but are those goals actually aligned with human values?In this episode, we explore the AI Value Alignment Problem: the gap between what an AI system ...

14 Sep 4min

The Blind Spot: Why AI Observability is Critical for Product Managers

Uncover the critical 'blind spot' in AI product development! This video reveals why AI Observability is non-negotiable for modern Product Managers, especially those navigating the complex world of AI ...

23 Jun 5min