Product Management
- AI Strategy (317)
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- Leadership (76)
- Product Management (344)
- Product Management Leadership (308)
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A Practical Model for Amplitude Behavioral Web Intelligence
A decision model for combining Amplitude analytics, zoning, heatmaps, replay, performance signals, and experiments without overstating the evidence.
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How Agentic Analytics Reshapes Product Development Roadmaps
A practical synthesis of how product agents connect behavioral analytics, controlled experiments, roadmap decisions, and accountable automation.
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AI Agent Product Development: From Workflow to Autonomy
A practical framework for developing AI agents through focused workflows, bounded capabilities, measurable outcomes, and evidence-based autonomy.
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Why We Made Fin the Most Open Agent: Instant HubSpot & Freshdesk Support With 76% Resolutions
Fin now runs as a Service Agent on top of HubSpot and Freshworks, so you can deploy world-class automation without leaving your helpdesk. Setup takes less…
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Learning Together: The Small-Group Product Coaching Strategy That Accelerates Real-World Growth
If you want real behavior change—not just a shared vocabulary—small, intentional learning groups outperform one-off training and solo courses. In this reflection, I break down three…
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From AI Builder to Agent Swarm: A Product Delivery Model
A practical model for combining AI Builders, selective agent parallelism, evaluations, and release controls across product discovery and delivery.
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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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Engineering MCP Agents as a Reliable Product Platform
A practical framework for building MCP agent platforms around controlled context, safe actions, measurable reliability, and governed scale.
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Reusable AI Agent Workflows Need Evaluation Contracts
A practical model for packaging agent skills with traces, test fixtures, guardrails, and product metrics so reuse does not weaken accountability.
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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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Supercharge Insights with Amplitude Agent Connectors: Connect Notion, Slack, Linear & More
When insights and actions live in different tools, teams lose speed and clarity. Amplitude’s Agent Connectors help by uniting Notion, Atlassian, Slack, Linear, and more with…
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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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A Reliable Amplitude AI Workflow for Product Decisions
Build Amplitude AI analyses stakeholders can trust by controlling context, checking evidence, and turning findings into accountable product decisions.
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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 Design a Dependable CLI Agent Users Can Trust
A practical framework for building CLI agents with narrow contracts, safe permissions, predictable execution, and measurable reliability.
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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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Prompt Engineering for Amplitude Global Agent That Holds Up
A practical framework for prompting Amplitude Global Agent to produce grounded, reviewable analysis that supports real product decisions.
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Beyond Accuracy: How I Evaluate AI Customer Service Agents That Delight and Scale
Most teams judge AI agents by accuracy and resolution rates—but that’s only half the story. In my POCs, I mirror real-world messiness, stress-test multi-turn and multilingual…
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Product Analytics for Retention: A Practical Operating System
Build a trustworthy retention analytics loop that connects valuable behavior, clean instrumentation, diagnosis, and controlled product experiments.
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Browse topics
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