TLDR PRODUCT MANAGEMENT 2026-03-13

START CREATING WITH AGENT 4

5 WAYS PRODUCT DISCOVERY BREAKS DOWN

Product discovery breaks down when companies fast-track “must-have” features and lack clear outcome-based goals. Evidence-guided discovery with shared metrics and measurable outcomes helps teams prioritize better ideas and avoid feature-factory behavior.

WTF DOES A PRODUCT MANAGER DO? (AND WHY ENGINEERS SHOULD CARE)

As AI reduces the cost of building software, the real challenge becomes deciding what to build, pushing engineers to adopt product management skills. The three most important are gathering context, tracking results through feedback loops, and communicating decisions in a way that drives action.

DANCING WITH PROBLEMS

Product problems rarely have a single clear definition. Teams must continually move between behavioral, contextual, and strategic perspectives to understand them. Product leaders create shared understanding by helping teams explore these layers together and refine the real problem over time.

WILL FEATURES EVEN EXIST? HOW AI IS FORCING SAAS TO RETHINK THE PRODUCT ITSELF

AI is eroding the traditional SaaS model built around predefined features. The real moat will shift to platforms that let customers generate and govern their own workflows securely and reliably.

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HOW GOOD IS YOUR BACKLOG? HOW TO SHAPE THE WORK FOR PRODUCT SUCCESS

When backlog items feel too big or vague, the problem is usually poor shaping around customer needs, not just missing detail. Teams should shape work together through problem clarification, workshops, and spikes so they can learn faster, avoid handoff friction, and deliver value in smaller, clearer steps.

KILL YOUR DARLINGS (22 MINUTE PODCAST)

Flatlining products that generate some revenue but show no growth often block better opportunities. Product leaders must deliberately sunset them as portfolio decisions to free teams to discover the next source of growth.

VISHAL KAPOOR'S 10 RULES FOR BUILDING HONEST PRODUCTS WITH AI

AI can accelerate experimentation and prototyping, but building trustworthy products still requires human judgment, customer understanding, and first-principles thinking. Teams should use AI to explore ideas faster while prioritizing simplicity, transparency, and real customer value.

WHAT EXCELLENT GROWTH TEAMS SEE THAT OTHERS MISS (43 MINUTE VIDEO)

Great growth teams don't chase experiments or tactics. They identify and remove the real friction blocking users from getting value. Sustainable growth comes from deep customer understanding, faster learning, and compounding the insights that truly matter.

TRANSLATING

Product leaders should translate product metrics into clear financial impact when speaking with executives.

FINDING THE ROLE OF HUMANS IN AI PRODUCTS

As AI agents become increasingly autonomous, the human role shifts from doing tasks to supervising systems that do them.