December 2025
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
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Activation to Win-Back: A Practical Retention System
Build a lifecycle operating system that defines activation, repairs retention leaks, and wins dormant users back by restoring meaningful product value.
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How to Turn Unified Product Analytics Into a Growth System
Build a trusted path from product behavior to business outcomes, then use shared metrics, experiments, and governance to make better growth decisions.
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Contextual Onboarding: A Practical System for Faster Activation
Learn how to define activation, route users by real product context, and test onboarding without mistaking completed steps for customer value.
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How to Turn Enterprise Positioning Into Measurable Adoption
A practical model for connecting enterprise positioning to activation, retention, and account expansion without mistaking attention for adoption.
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Evidence-Driven Product Analytics: From Signal to Decision
A practical operating system for turning behavioral signals into sound hypotheses, reliable experiments, and product decisions your team can defend.
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How to Run AI-Augmented Workflow Experiments That Matter
A practical playbook for testing AI-assisted workflows with clear hypotheses, full-job metrics, guardrails, and evidence-based autonomy decisions.
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How Amplitude AI Feedback Turns Noise into Product Signal You Can Ship With Confidence
Customer feedback is abundant, but reliable product signal is rare. With Amplitude AI Feedback, I turn fragmented qualitative input into evidence-backed insights tied to real user…
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AI-Ready Data Governance: A Practical Trust Framework
A practical operating model to trace AI inputs, enforce access, automate quality controls, and prove trust without slowing delivery.
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From Activation to Retention: A Practical Experiment System
A practical system for defining activation, proving its link to retention, and running experiments that improve durable product use.
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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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Own Your AI: 4 Essential Roles to Supercharge Support and Prevent Performance Drift by 2026
AI doesn’t fail because models are weak; it fails when no one owns performance. In this third installment of my 2026 customer service planning series, I…
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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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Unlock AI Product Roadmaps: Essential Tools Every PM Needs to Prioritize and Ship Faster
The AI era demands roadmaps that learn as fast as your customers do. In this first-person playbook, I share how I connect AI strategy to product…
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Browse topics
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
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