
Understanding people, measuring what matters, building for humans. UX Research, product thinking and AI evals.
| Platform | Pricing | Freemium | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 65 | Founded | 4 years ago | Last Issue | 13 hours ago |
| Active | |||||

What synthetic users represent, where their evidence comes from, and what changes as the computational system gets more complex
MODELS OF PEOPLE · 02
RESEARCH · 37
I spend a surprising amount of my working life deciding what belongs together. We may call it classification. Or, we may call it coding feedback, defining failure modes, segmenting users, or designing evaluation rubrics. In e...
AI Evals Part 3: Turning a broad capability into one concrete case you can run and assess
AI EVALS · 3
Before we decide whether they work, we need to know what they represent and what we are asking them to do.
MODELS OF PEOPLE · 01
LOOK AGAIN · 02
Researchers separate the way we judge time while it is passing from the way we reconstruct it afterward. In the moment, attention matters. Watching the clock can make an interval feel slow. Later, we often infer duration fr...
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The writers behind this newsletter.
I lead user research for model quality at OpenAI. I write about how AI is changing user research, evaluation, and measurement, and how we understand people using products increasingly shaped by AI. Views are my own.
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