Product Management
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The AI PM One-Pager: Radical prototyping requirements for speed, clarity, and truth
A single one-pager can transform how AI product teams move from idea to insight. By prompting tools directly and defining eval-driven criteria up front, I cut…
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Build an AI Toolbox That Improves Product Management
A practical operating model for choosing AI tools, grounding them in product evidence, measuring workflow gains, and scaling with clear guardrails.
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How to Design an AI Customer Agent for Sales Qualification
A practical framework for qualifying inbound buyers, routing them accurately, preserving context, and measuring the pipeline an AI agent actually adds.
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How to Build Agentic AI for Product Analytics and Support
A practical model for connecting behavioral data, safe agent actions, and outcome measurement so product support resolves issues without losing control.
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AI-Native Startup Execution: A Practical Operating System
A practical operating model for choosing the wedge, focusing the ICP, designing the team, and turning model-quality evidence into customer outcomes.
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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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Churn Prediction: A Practical Build-Versus-Buy Framework
A practical framework for choosing build, buy, or hybrid churn prediction based on speed, proprietary data, activation, talent, and total cost.
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From Brain Dump to Done: How Todoist’s Ramble Captures Tasks in Real Time with AI
Ramble turns stream-of-consciousness voice notes into structured tasks in real time by skipping transcription and using a Gemini live audio model. The Doist team pairs instant…
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Never Lose Your AI Superpowers: How I Sync Context and Skills Across Every Device
Sharing AI context files and skills across devices—and with teammates—shouldn’t be painful. In this first-person walkthrough, I break down the real-world pitfalls I hit with Dropbox,…
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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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A Practical Customer Insight System for Product-Led Growth
Build a reliable path from interviews, behavioral data, and commercial signals to scalable product-led growth decisions.
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How We Taught Agentic AI to Speak Product Analytics—and Unlocked Actionable Insights
I describe how we taught agentic AI to understand the nuanced language of product analytics and deliver trustworthy answers grounded in our metric catalog and event…
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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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Stop Forcing AI to Prove ROI: A Product Leader’s Playbook to Measure Real Business Value
AI ROI isn’t elusive—it’s mismeasured. I outline a practical playbook that ties leading indicators to revenue, cost, and risk through a clear driver tree and disciplined…
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How Top Product Teams Roadmap Through Uncertainty: Align Faster, Adapt Smarter, Deliver
Uncertainty isn’t the enemy of great product roadmaps—wishful certainty is. I anchor plans on outcomes, organize bets by time horizon and confidence, and use continuous discovery…
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Beat AI FOMO: A Product Leader’s Playbook to Choose Tools, Stay Focused, and Learn Deeply
New AI tools launch daily, and the pressure to try them all can derail real progress. In this reflection on a timely conversation with Petra Wille…
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Stop Misleading A/B Tests: Master Sample Size Assumptions for Reliable Results
Sample size calculators are only as reliable as the assumptions behind them. I show how I validate baseline rates, set a meaningful minimum detectable effect (MDE),…
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Join Me in April: Build a Continuous Interviewing Habit and Unlock Real Customer Insights
This April, I’m leading a community read of Chapter 5: Continuous Interviewing from “Continuous Discovery Habits,” with a practical guide, discussion prompts, and exercises you can…
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Inside Amplitude’s ML Playbook: Practical Strategies for Smarter A/B Tests and Growth
Discover how I translate machine learning into practical product analytics wins. I share how MDE-driven planning and disciplined A/B testing unlock faster, defensible decisions. You’ll see…
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Browse topics
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