Product Management Leadership
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Turning Pendomonium Insights Into a Product Growth System
A practical system for turning Pendomonium sessions, expert input, and peer conversations into measurable onboarding and activation experiments.
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Connecting Amplitude Positioning to Product-Led Growth
A synthesis of how technical proof, behavioral evidence, growth experiments, and shared metrics can connect Amplitude’s positioning to product-led growth.
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A Game-Changing Leap in Voice AI: Fin Voice 2, Apex Flash, and a Live Demo You Can Trust
Voice AI is finally stepping out of the demo lab and into the real world. With Apex Flash and Fin Voice 2, we get fast, natural…
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Crafting Beloved Tech Brands: My Moonshot Marketing Playbook for the Post-LLM Era
Marketing in 2026 isn’t a channel plan; it’s a feeling customers want to belong to. In this playbook, I share how to run one unified engine,…
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Broken Procurement Is Costing You Talent: A Product Leader’s Playbook for Speed and Sanity
Procurement should accelerate value, not block it. In this episode recap and analysis, I unpack how sprawling forms, overreaching security reviews, and unclear ownership repel the…
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Join Me in June: Master Opportunity-First Product Strategy with Continuous Discovery Habits
Join me for a June read-along of Continuous Discovery Habits focused on prioritizing opportunities—not just shipping features. I’ll share a structured reading guide, short videos, reflection…
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Stop Support Tickets Before They Start: How AI Unsticks Users and Lifts Conversions
Stuck users don’t just stall—they open tickets and quietly abandon funnels. By pairing behavioral analytics, session replay, and targeted in-app guides with an AI Assistant, it’s…
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How to Build a Resilient Experimentation Program at Scale
A practical operating model for producing trustworthy decisions through layered evaluation, governed measurement, and reversible delivery at scale.
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An AI Operating Model That Measures Outcomes, Not Activity
A practical way to connect AI quality, customer behavior, revenue, risk, and delivery metrics so teams know what to scale, fix, or stop.
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AI-Ready Customer Support: An Operating Model That Works
A practical operating model for preparing support knowledge, workflows, guardrails, human handoffs, and launch controls for reliable AI automation.
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Analytics-Led Growth Engineering: A Practical Operating Model
Build a growth engineering system that connects trusted behavioral data, focused experiments, safe releases, and durable activation and retention gains.
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Speed-to-Lead Is Dead: How AI Agents End the Wait and Rebuild a High-Velocity Sales Org
Prospects shouldn’t wait after they click “contact sales.” AI Agents engage buyers instantly at the peak of intent, collapsing qualification, discovery, and even an initial demo…
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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.
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Old-School Selling Beats PLG in the AI Era: My GTM Playbook for 8‑Day Enterprise Deals
Old-school, in-person selling still beats product-led motions in the AI era because enterprise buyers reward teams who show up and de-risk change. I share how to…
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How to Operate Always-On AI Agents Without Losing Control
A practical operating model for unattended AI agents, covering job design, permissions, task state, failure handling, cost controls, and scaling.
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Built for Your Biggest Days: How We Engineer Fair, Reliable Scale Without Downtime
Enterprise teams ask sharper questions about scale—and they should. I share how we handle 150k+ requests/sec, shard our source-of-truth data with Vitess and PlanetScale, and reshape…
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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…
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Behavioral Customer Data for Proactive SaaS Retention
Learn how to turn behavioral customer data into clear risk reasons, timely retention plays, and a weekly product and customer success operating loop.
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Unlocking AI Agents: The Real Barrier Is Readiness—Not Capability—Here’s How to Scale
The biggest barrier to scaling AI Agents isn’t model capability—it’s organizational readiness. I break readiness into five types (content, scope, procedural, data, execution) and show why…
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How to Validate Behavioral Heatmap Accuracy Before You Act
A practical workflow for checking screenshot fidelity, click placement, segmentation, and supporting evidence before you act on a heatmap.
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