A fresh coat of paint and making information actionable for 24 years
From early 2000s information design to semantic maps in 2026, the tools changed; my interest in how information connects did not.
content strategy
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13 words to turn a rumor into AI fact
Cornell researchers planted thirteen words on Reddit and changed what Deep Research and Gemini reported back.
CADI: a prescriptive path for slop-free AI in content work
A framework to collect, analyze, document, iterate (CADI, for short) is a prescriptive answer to the question everyone keeps asking: should I prompt better, write a style guide, build an agent, or what?
Why 'reviewed' should be a protected verb
A newsroom AI policy that closes the quote-attribution loophole and treats 'reviewed' as a protected verb.
Designing analytics infrastructure that measures audience quality, not just traffic
15+ websites, no existing benchmarks, and a fundamental question: how do you know if the right people are finding your content?
Digital transformation for complex organizations (Parts 1-2)
A practical framework for moving legacy institutions toward measurable, audience-centered digital practice — without throwing out what already works.
How to measure impact when analytics lie
You've defined success. Now what? Most analytics dashboards won't answer the questions that matter.
Improving AI chatbots with an editorial handbook from your best content
Editorial guidelines are often too vague for humans — and useless for AI. Extract patterns from your best content to create actionable standards for both.
Turning vague content guidelines into measurable AI-ready standards
UNDRR's AI assistant couldn't learn from vague guidelines like 'keep it concise.' I extracted patterns from high-quality examples to create measurable standards.
Measuring success beyond the page view
Analytics on page views and bounce rates won't tell you if your content has impact — here's how I measure what actually matters.
Introducing a "Work" section
A home for evidence-led impact stories documenting measurable outcomes from my work on platforms, performance, and design systems.
Making disaster economics compelling for global policymakers
UNDRR's flagship disaster risk report needed to communicate $2.3 trillion in annual losses — without burying the message in data or slowing access for users in disaster-prone regions.
Individualism is the flavor AI chatbots can't stomach
The AI experience has drained traffic from reference content, but leaves a path forward of human-centric experiences, interactivity, and better on-site value.
Sacrificing knowledge in the name of data
The goal is not more data, but data to facilitate the story of what we're trying to achieve.
Reclaiming three weeks of editorial time every month
No single issue was breaking UNDRR's editorial experience — it was an accumulation of paper cuts that drained editor time and patience.
Publishing since the 2000s
In a career of 20 years, the more things change the more they stay the same.
Inside the Content-Action Model
An ontology to document, plan, define and implement CAM magic.
UX, discovery, analysis + the CAM
What does it mean to 'do UX' with our Content Action Model? Beyond the buzz.
The Content-Action Model origin story
Beyond the Core Content Model and into organisations, actions.
Introducing the Content-Action Model for Web Systems
Wiring ‘ugly truth’ UX diagnostics for better web strategy & IA.
Fluid IA to enable user discovery, prepare for change
Subtitled: Resisting entropy and preparing for change by binding content to mission.
A model for better content, better readers, better journalism
Six years ago my then roommate and I founded TheDigitel on the idea that the future of news was changing and that the service was in curating and linking content, and that curation was going to be bigger than the massive link mills then in existence.
