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Measuring Enterprise AI Value: A Practical Adoption System
A practical system for connecting enterprise AI usage to repeat behavior, workflow outcomes, quality guardrails, and defensible financial impact.
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What Modern Product Managers Are Actually Responsible For
A practical framework for defining a product manager’s accountabilities, decision rights, operating cadence, boundaries, and performance.
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AI Productivity Is Not a Product Outcome: Measure What Matters
A practical operating model for linking AI-enabled speed to customer behavior, business impact, quality guardrails, and deliberate capacity choices.
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How to Choose a North Star Metric That Guides Product Teams
A practical framework for selecting a North Star Metric that reflects customer value, supports product decisions, and avoids misleading activity measures.
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The Hidden Leadership Skills Product Managers Need Before the Title Change
Product managers do not need to wait for a formal title change to start building real leadership capability. The strongest path begins with understanding how leadership…
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Stop Forcing Organizational Change: How I Create Impactful Product Habits Without Burnout
Organizational change is exhausting—so stop trying to force it. I focus on conditions that make change inevitable: leadership-level pain, real urgency, and awareness of credible alternatives.…
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Why Product Engineers Are Transforming Software Delivery: Ownership, Speed, and Real Impact
Product engineers blend coding with customer insight, owning problems end to end and eliminating costly handoffs. By pairing continuous discovery with CI/CD, they shorten feedback loops…
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Join Me in June: Master Opportunity-First Product Strategy with Continuous Discovery Habits
Join me for a June read-along of Continuous Discovery Habits focused on prioritizing opportunities—not just shipping features. I’ll share a structured reading guide, short videos, reflection…
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An AI Operating Model That Measures Outcomes, Not Activity
A practical way to connect AI quality, customer behavior, revenue, risk, and delivery metrics so teams know what to scale, fix, or stop.
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AI-Assisted Product Strategy: A Practical Operating System
A practical operating system for using AI to sharpen product strategy, trace decisions to evidence, and turn discovery into measurable learning.
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4 Costly Agent Analytics Myths—And the Data-Backed Metrics I Rely on Instead
Agent Analytics can mislead when we over-index on speed, containment, or early green dashboards. I share four common myths I see in human and AI agent…
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Master Opportunity Mapping with Continuous Discovery Habits — Join the May 2026 Book Club
This May, I’m leading a community read-along of Continuous Discovery Habits with a practical focus on opportunity mapping and outcome-driven product discovery. You’ll get a chapter…
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Beyond Command and Control: How I Build Trust, Speed, and Autonomy in Product Teams
Uncertainty tempts leaders to tighten control, but that speed is often a mirage in complex product environments. I explain why no single leader can hold all…
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Master Build-to-Learn: The Essential FAQ to Supercharge Product Discovery in the AI Era
In the age of AI, the fastest teams separate build to learn from build to earn. I use discovery to validate problems and value before committing…
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A Practical Scenario Planning System for AI Product Strategy
A decision-ready framework for turning uncertain AI futures into signals, reversible bets, funding triggers, and an adaptable roadmap without chasing hype.
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From 70 Employees to Dominance: My Playbook for Hypergrowth, Focus, and Top-Down Goals
Scaling an atoms-based marketplace demands a different kind of product leadership. In this first-person playbook, I share how I apply a simple “plate spinning” framework to…
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Outcome-Driven Product Development: A Practical Operating Model
Turn feature roadmaps into measurable bets using an evidence gate, dual-track discovery and delivery, and a post-launch decision loop that prevents output theater.
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Product Work Is Relationship Work: How I Align Stakeholders Faster and Cut Team Politics
AI can speed up delivery, but it can’t replace the human work of product management: aligning stakeholders, navigating competing incentives, and creating shared understanding. In this…
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Stop Drowning in Tasks: How AI Marketing Agents Restore Focus and Maximize Impact
Marketers don’t have a volume problem—they have a focus problem. AI multiplies effort, but without outcome clarity it only accelerates busywork. I outline a practical playbook:…
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Commercial vs. Internal Products: Hard Truths, High Leverage, and How I Make the Call
Internal products quietly drive customer experience, margin, and speed—yet they’re often underfunded. Commercial products expand scope with positioning, pricing, and GTM complexity, making them harder to…
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