Product Management Leadership
- AI Strategy (429)
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- Product Management Leadership (373)
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Our Operating Model Is the Product—Why We Built Product Partners to Accelerate Outcomes
Customers don’t just buy features—they buy the way we work. That’s why we built Product Partners: to codify an operating model that unites product strategy, continuous…
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Figma’s Executive Scaling Playbook for IPO Readiness
A practical operating model for growing executives, installing public-company discipline early, and aligning product, finance, and AI investment.
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What the Intercom-to-Fin Rebrand Teaches Product Leaders
A practical framework for making an AI product the company name without confusing customers or abandoning a durable product brand.
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Beyond the Product Builder Hype: How AI, org design, and joy shape PM success
Is the product builder wave a mandate or a useful tool? I unpack how to use coding and AI in product management without causing organizational chaos.…
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From Internal FinOps Agents to Customer-Embedded Optimization
Learn how to turn internal FinOps agents into governed, customer-embedded workflows that improve cloud cost-to-value and product learning.
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How a Digital Analytics Visionary Shapes My Product Strategy for Growth, Retention & Monetization
Data is my compass for product decision-making, and I operationalize it through behavioral analytics, rigorous A/B testing, and continuous discovery. I start by mapping user journeys…
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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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Taste vs. Evidence in the AI Era: What Product Leaders Must Invest In Now
Is “taste” truly a must-have skill in the AI era or just hype? After listening to Teresa Torres and Petra Wille, I share why opinionated product…
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5 Proven Agent Skills I Use to Automate Weekly Product Reviews with Claude, Cursor, and Codex
Weekly product reviews can be fast, focused, and high-signal when agentic AI does the prep work. I use five repeatable agent skills—backlog triage, PRD synthesis, experiment…
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Mastering Product Marketing with Amplitude Analytics: Proven Playbooks for Sustainable Growth
Discover how I apply Amplitude Analytics and behavioral analytics to connect product strategy with go-to-market strategy. Learn practical methods to improve user activation, run rigorous retention…
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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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CPO Leadership in the AI Era: A Practical System for Focus
A practical operating system for turning AI pressure into measurable bets, clear decision rights, protected discovery, and durable customer value.
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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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Unleashing Inbound Sales with AI: My Playbook for Launching and Scaling Sales Agents Fast
Inbound sales shouldn’t wait in queues, and AI finally gives us a way to act on buyer intent in real time. The Sales Agent Blueprint is…
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Auditable AI Code Review: A Practical Operating Model
A practical operating model for AI code review that makes approvals explainable, limits autonomy by risk, and improves through production evidence.
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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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How to Build a Trusted AI Product Platform That Scales
A practical operating model for building AI platforms that earn trust through governed data, verifiable outputs, controlled actions, and measurable outcomes.
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Browse topics
- AI Strategy (429)
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