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- AI Strategy (429)
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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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Healthcare Product Benchmarks That Matter: Actionable Metrics and Playbooks From Our Report
Healthcare product benchmarks create the clarity we need to prioritize the right bets and move faster with confidence. In this narrative, I share how I use…
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How to Connect Voice of Customer to Behavioral Analytics
A practical method for linking customer feedback to cohorts, funnels, activation, retention, and experiments that support defensible roadmap decisions.
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Inside Google’s Product Model: Hard-Won Lessons to Build Empowered, Outcome-Driven Teams
I’m examining how the product model manifests at Google and translating it into practical patterns you can use. I focus on empowered product teams, product trios,…
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How Product Leaders Should Plan Their 2026 Conference Calendar
A decision-first framework for choosing 2026 product conferences, assigning attendees, and turning sessions and networking into operating change.
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Year-End Reflection for Product Leaders: Values, Themes, and the 100‑Wishes Reset
Year-end reflection is more than a wrap-up—it’s a strategic reset for product leaders. In this narrative, I unpack a values-driven approach that replaces rigid goals with…
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From Concierge to AI Marketing Engine: Inside Mowie’s Document Hierarchy Playbook
SMBs don’t need a bigger team to market like pros—they need smarter systems. In this first-person breakdown, I unpack how Mowie evolved from a hands-on concierge…
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Automated Insights for Product Teams: Uncover Causal ‘Aha’ Moments in Minutes, Not Weeks
Automated insights change the analytics game by surfacing causal patterns and “aha” moments in minutes, not weeks. Instead of manual, exhaustive searches, I get ranked hypotheses…
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Unlock Real-Time Product Insights: Amplitude + OpenAI MCP in ChatGPT, Without BI Bottlenecks
Connecting Amplitude analytics to ChatGPT via OpenAI’s MCP brings product insights directly into the flow of work. I can ask natural-language questions about activation, retention, and…
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Operationalizing AI: A Practical System for Scalable Growth
A practical operating model for choosing AI use cases, designing controlled workflows, measuring value, governing risk, and scaling what works.
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Outcome-Led Product Leadership: A Prioritization System
A practical system for defining measurable outcomes, ranking product bets by evidence, and keeping stakeholder pressure from owning the roadmap.
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Product Analytics for Everyone: Master Funnels, Retention, and Conversion to Drive Growth
Product analytics becomes a superpower when it’s owned by the whole team, not just analysts. In this piece, I break down how funnels, retention, and conversion…
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From No-Code Hack to 10,000 Weekly Calls: Inside Perk’s Voice AI That Actually Works
A small Perk team turned a Make.com hackathon into a voice AI agent that makes 10,000+ weekly hotel verification calls—reducing failed virtual card payments and traveler…
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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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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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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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Browse topics
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