continuous discovery
- AI Strategy (315)
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How to Build an AI-Native Product Development Workflow
A practical operating model for connecting customer evidence, product decisions, context engineering, evaluation, and delivery in one learning loop.
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Vibe Coding Unleashed: How Parallel Agents Build KPI Driver Trees in Under Two Hours
Parallel agents are transforming how I build analytics artifacts and make product decisions. By running specialized agents in parallel—metrics, data modeling, research synthesis, prototyping, and evaluation—I…
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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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Build vs. Buy in an AI-First World: My Framework to De-Risk Decisions and Own Your Data
Build vs. buy shows up in every product organization, and AI is changing the calculus without eliminating the tradeoffs. In this first-person framework, I walk through…
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The Customer Feedback Playbook: AI-Powered Tactics I Use to Make Better Product Decisions
Customer feedback is my most reliable compass for strategy and execution. In this playbook, I show how to combine analytics, structured interviews, and AI to turn…
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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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Agentic AI for Construction Tendering: A Product Playbook
A practical playbook for narrowing the tendering wedge, designing specialist agents, evaluating each decision, and earning safe autonomy.
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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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Turn Every Support Ticket into Product Truth: My Playbook for Data-Driven CX Wins
Support tickets are the fastest path to product truth when you turn frontline conversations into structured, reliable data. I connect support tools to a unified analytics…
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How We Built an AI Career Co‑pilot that Turns Knowing into Doing for Disadvantaged Students
Disadvantaged students don’t just need answers—they need an orchestrated path from insight to action. I break down how Zero Gravity built an AI career co‑pilot that…
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PMs and Developers Need Different AI Metrics—Here’s How That Builds Faster, Better Products
PMs and developers measure different layers of AI systems—and that’s a feature, not a bug. Developers focus on eval-driven development, latency, and reliability, while PMs focus…
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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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How Product Leaders Turn AI Strategy Into an Operating System
A practical operating model for choosing AI bets, defining production readiness, assigning ownership, measuring adoption, and deciding when to scale.
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Master the Five Stages of Software Experience Maturity and Prioritize What to Fix First
Experience quality compounds, and a five-stage maturity model turns that truth into a practical plan. Use it to align teams, prioritize the right fixes, and link…
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Why I’m All-In on INDUSTRY 2025: 5 Powerful Reasons For Product Leaders at The Product Conference
INDUSTRY 2025 is my must-attend event to sharpen product strategy, deepen AI fluency, and learn directly from operators who ship. I’m prioritizing outcome-driven roadmapping, continuous discovery,…
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My Proven Experimentation Playbook for AI PMs: Faster Learning, Safer Launches, Bigger Wins
Experimentation is not guesswork—it’s a disciplined system. In this playbook, I show how to pair A/B testing with eval-driven development to ship safer AI features and…
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Quantitative Metrics vs. Qualitative Insight: How I Balance Data and Discovery to Grow Products
Numbers show what is changing; human insight explains why. I share a practical cadence for combining quantitative metrics with qualitative discovery to make sharper product decisions.…
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Browse topics
- AI Strategy (315)
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