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Stop Measuring Output, Start Driving Outcomes: My February CDH Book Club Guide
This 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…
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Inside Product at Heart 2026: Bold Single-Track Vision, AI Everywhere, Deeper Connections
Product at Heart 2026 is making a bold shift to a single-track format—prioritizing tighter curation, shared context, and deeper learning. Petra Wille and Teresa Torres outline…
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How I Harness AI to Supercharge Product Discovery for Faster Research, Prototyping, and Validation
AI has become my unfair advantage in product discovery, compressing weeks of research, prototyping, and validation into days. I synthesize interviews with LLMs, layer in Amplitude…
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New Year, New Product Habits: AI Workflows, Coaching Culture, and Community in 2026
I’m starting 2026 with a practical reset of how I lead continuous discovery, integrate AI workflows, and scale coaching inside product teams. In this reflection, I…
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11 Product Management Shifts Redefining 2026: Actionable Signals from Top Leaders
2026 will reward product teams that turn signals into action. In this first-person analysis, I highlight eleven shifts—from outcomes-first OKRs and continuous discovery to agentic AI…
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7 Proven Steps to Win Stakeholder Buy-In with Clarity, Data, and Lasting Trust
Buy-in is earned through a designed journey—not a single meeting. This first-person, 7-step playbook shows how to align on outcomes vs output OKRs, map stakeholders and…
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How to Build a Continuous Discovery Habit That Survives Delivery
A practical operating system for making weekly customer contact, trio ownership, and evidence-based product decisions survive delivery pressure.
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AI Transformation Is an Operating Model, Not a Feature Roadmap
A practical operating model for turning scattered AI pilots into measurable outcomes, safer releases, and a faster organizational learning loop.
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Enterprise Go-To-Market That Wins: How Product Marketing Supercharges Analytics Adoption
Enterprise go-to-market succeeds when product marketing and product operate as one. I rely on Amplitude analytics, A/B testing with clear MDE, and continuous discovery to translate…
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Inside Google’s Product Model: Hard-Won Lessons to Build Empowered, Outcome-Driven Teams
I’m examining how the product model manifests at Google and translating it into practical patterns you can use. I focus on empowered product teams, product trios,…
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2026 Support Capacity Playbook: Bold AI Automation, Smarter Staffing, Zero‑Surprise SLAs
AI is reshaping support capacity planning, and the old linear volume-to-headcount model no longer holds. I center plans on automation rate (AI Agent involvement rate ×…
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Year-End Reflection for Product Leaders: Values, Themes, and the 100‑Wishes Reset
Year-end reflection is more than a wrap-up—it’s a strategic reset for product leaders. In this narrative, I unpack a values-driven approach that replaces rigid goals with…
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AI in Product Design: My Proven Playbook, Real Use Cases, and the Tools That Win Faster
AI in product design has moved from novelty to necessity, and the fastest-moving teams are weaving it through discovery, prototyping, and validation. I share a practical…
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Inside the Engine Room: How I Drive Scalable Analytics APIs, Reliability, and Performance
I share how I focus on the middleware and compute systems that power analytics at scale so teams can trust their data. I detail how overseeing…
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Long-Horizon Company Building: How to Operate for Decades
A practical operating system for choosing durable problems, sequencing full-stack bets, learning from unhappy customers, and keeping patience accountable.
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Product Analytics for Everyone: Master Funnels, Retention, and Conversion to Drive Growth
Product analytics becomes a superpower when it’s owned by the whole team, not just analysts. In this piece, I break down how funnels, retention, and conversion…
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How to Build Self-Service Analytics Teams Actually Trust
A practical operating model for giving product teams faster answers without sacrificing metric consistency, data quality, privacy, or analyst leverage.
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AI vs. Human Judgment in Customer Interviews: The Hard‑Won Lessons That Changed My Mind
I’ve changed my stance on using AI for customer interview analysis and synthesis after six months of hands-on experiments. AI raises the floor for beginners, but…
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From Output to Outcomes: How I Align Stakeholders Around a True Product Operating Model
Shifting to a true product operating model means moving from “shipping roadmaps of features (output)” to achieving “business results (outcomes).” In this first-person playbook, I share…
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AI Product Owner in 2026: The High-Impact Role Every Team Needs to Win With AI
The AI Product Owner is the keystone role that converts AI strategy into measurable outcomes. I explain how it differs from traditional Product Management, the core…
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