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Mastering 30,000-Foot Vision and Ground-Level Execution: Systems That Decide Without You
Read more: Mastering 30,000-Foot Vision and Ground-Level Execution: Systems That Decide Without YouExtraordinary leadership isn’t personal heroics—it’s institutionalizing judgment so teams make great decisions without you. In this piece, I share how I operate at 30,000 feet and ground level, make the leap from manager to manager of managers, and use driver trees to turn strategy into controllable levers. I open my executive hiring process, including the…
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From Idea to Impact: My PM-Friendly Blueprint to Building Your First AI Agent Fast
Read more: From Idea to Impact: My PM-Friendly Blueprint to Building Your First AI Agent FastAI agents deliver real value when we build them like products, not demos. In this PM-friendly blueprint, I show how to define outcomes, design retrieval-first workflows, and choose the right LLM and tools for reliability. You’ll see how I use eval-driven development, A/B testing, and a minimum detectable effect to ship improvements with confidence. I…
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Becoming AI Native: A Practical Playbook to Transform Strategy, Teams, Data, and Tech
Read more: Becoming AI Native: A Practical Playbook to Transform Strategy, Teams, Data, and TechAI Native isn’t a chatbot add-on—it’s a company-wide operating model that fuses AI Strategy, architecture, and execution to deliver measurable customer outcomes. In this playbook, I define what AI Native looks like and share a practical, 90-day path to get there. You’ll learn how to pick high-leverage use cases, design a retrieval-first pipeline, and implement…
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From Coaching to Co‑Pilots: How AI Elevates Product Owners and Feature Teams
Read more: From Coaching to Co‑Pilots: How AI Elevates Product Owners and Feature TeamsAI has shifted the coaching playbook I’ve used for years. Instead of treating AI as an answer engine, I now coach teams to use it as a trusted co‑pilot, anchored by eval‑driven development, prompt engineering patterns, and a retrieval‑first pipeline. This empowers product trios to run better continuous discovery and validate outcomes vs output OKRs…
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How We Built Rock-Solid AI Infrastructure: Lessons From Scaling AI Visibility and Reliability
Read more: How We Built Rock-Solid AI Infrastructure: Lessons From Scaling AI Visibility and ReliabilityScaling AI Visibility taught me that most AI infrastructure failures are subtle, compounding edge cases—not dramatic outages. By investing first in observability, SLOs, and error budgets, I could target fixes that moved outcomes, not just metrics. Resilience patterns like circuit breakers, idempotency, and backpressure turned intermittent report failures into predictable behavior. Eval-driven development, CI/CD gates,…
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Inside Amplitude’s AI Playbook: Lessons from Leo Jiang on Ask Amplitude, Agents, and Visibility
Read more: Inside Amplitude’s AI Playbook: Lessons from Leo Jiang on Ask Amplitude, Agents, and VisibilityAmplitude’s AI portfolio offers a clean blueprint for turning ML into measurable product value. I reflect on how “Ask Amplitude,” “Agents,” and “AI Visibility” map to insight, action, and trust—an approach product leaders can adopt. I outline a practical AI strategy that starts with user value, layers agentic AI, and hardens governance. I share how…
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12 MCP prompts that rally your whole company around product data and drive adoption
Read more: 12 MCP prompts that rally your whole company around product data and drive adoptionProduct data only changes outcomes when everyone knows exactly what to ask of it. I use 12 practical MCP prompts inside Pendo to turn analytics, in-app behavior, and feedback into cross-functional actions. These prompts help us drive activation, increase retention, and prioritize work with confidence. They also align Product, CS, Marketing, and Sales on a…
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Build Your Personal Operating System with Claude Code: A Playbook for Focus, Speed, Clarity
Read more: Build Your Personal Operating System with Claude Code: A Playbook for Focus, Speed, ClarityA personal operating system turns scattered inputs into decisive action, and Claude Code is the catalyst I use to make it real. In this playbook, I share how to architect a retrieval-first pipeline, apply prompt engineering safely, and automate routine product workflows without sacrificing judgment. You’ll learn a practical approach to context window management, governance,…
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Stop Groupthink in Hiring: Proven Product-Led Tactics to Make Faster, Fairer Decisions
Read more: Stop Groupthink in Hiring: Proven Product-Led Tactics to Make Faster, Fairer DecisionsHiring isn’t broken so much as it’s often badly designed. I unpack how AI-driven application volume, sprawling interview loops, and fuzzy criteria fuel groupthink and derail great candidates. You’ll learn a product-led approach to hiring: define the role before the JD, set success metrics, assign clear interview criteria, and make a single, evidence-based decision. I…
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Stop Measuring Output, Start Driving Outcomes: My February CDH Book Club Guide
Read more: Stop Measuring Output, Start Driving Outcomes: My February CDH Book Club GuideThis February, I’m hosting a “Continuous Discovery Habits” book club focused on Chapter 3: Focusing on Outcomes Over Outputs. You’ll get a practical, first-principles guide with shareable videos, reflection prompts for individuals and teams, and two field-tested exercises to translate business outcomes into actionable product outcomes. We’ll dive into OKRs, product trios, and anti-patterns that…
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The AI Deployment Gap Is Widening—Accelerate to Mature ROI and World-Class CX in 2026
Read more: The AI Deployment Gap Is Widening—Accelerate to Mature ROI and World-Class CX in 2026AI adoption has surged, but depth—not just presence—now separates leaders from laggards. While 82% of senior leaders invested in AI for customer service in 2025 and 87% plan to in 2026, only 10% have reached mature, at-scale deployment. The payoff is clear: mature teams are nearly twice as likely to report higher quality and consistency,…
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AI Operating Model Masterclass: How I Scale Teams, Tech, and Governance Without Chaos
Read more: AI Operating Model Masterclass: How I Scale Teams, Tech, and Governance Without ChaosScaling AI isn’t about chasing demos—it’s about a durable operating model. I share how I align AI Strategy, empowered teams, and a retrieval-first pipeline with governance and eval-driven development to ship value safely. You’ll see how to prioritize use cases with outcomes vs output OKRs, operationalize A/B testing with proper MDE, and use feature flags…
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