continuous discovery
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
-

A Product Leader’s Playbook for Humane, Sustainable Growth
A practical operating model for balancing product growth with user agency, trust, community impact, and durable business value.
-

How to Build an AI-Native Product Discovery Workflow
A practical workflow for turning customer evidence and product analytics into traceable decisions with retrieval, bounded AI tasks, and evals.
-
Level Up: May 26 Claude Code Show & Tell + Final Product Discovery Fundamentals Cohort
Two timely opportunities to strengthen your product practice are on the calendar. On May 26 at 9am PDT, join a lively Claude Code: Show & Tell…
-

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…
-

No More Accidental Agents: How We Engineered Global Agent’s Helpful, Curious Personality
Most AI agents inherit accidental personalities from prompts and defaults. We took a different path, treating personality as a measurable product surface and optimizing it with…
-

From Prototype to Production: How I Built Reliable AI-Generated Opportunity Solution Trees
I set out to make AI-generated opportunity solution trees reliable at scale and discovered why updating a tree is far harder than creating one from scratch.…
-

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.
-

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.…
-

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…
-

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…
-

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…
-

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…
-

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…
-

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…
-

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…
-

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.
-

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.
-

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.
-

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…
-

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…
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.
