Explainer
10
The Definitive Guide to Wearables: How Watches & Rings Disrupt AI Product Strategy
/ Wearables are not a hardware category. They are the first surface that captures the world from your customer's point of view, and that stream is what world models, individualized products, and the next decade of health outcomes all run on. Arpy Dragffy | 1w ago
Future of UX Research: Guide for How UX Researchers Can Protect Their Jobs & Careers
/ A two-year forecast for the role, and the three postures toward AI that decide your place in it Brittany Hobbs | 2mo ago
Identify the AI Silent Failures & Conversational Loss Patterns Killing Your Product Adoption
/ Which failures to look for, why your dashboards miss them, and what to fix — grounded in Stanford research on 100,000 real AI conversations Brittany Hobbs | 2mo ago
WTF is an AI-native org anyways? Let's compare Airbnb & Meta's opposing plans.
/ Two companies. Both convinced the future depends on AI. Wildly different strategies. What Airbnb and Meta are doing — and where they actually converge — tells you more about AI adoption than anything you'll read on LinkedIn. Brittany Hobbs | 4mo ago
What UX Research Looks Like When Context Becomes the Engine
/ The role is moving from a step that produces decks to infrastructure that powers everyone else's AI. Both halves of that sentence are going to be hard. Brittany Hobbs | 4mo ago
The UX Researcher's Guide to Claude, Claude Cowork, and Claude Code
/ Which tool you need, how to set it up, and what the risks actually are Brittany Hobbs | 5mo ago
Physical AI: What It Is, What's Been Built, and Five Startups That Will Define It
/ AI is leaving the screen. A $383 billion market is forming around machines that perceive, reason, and act in the physical world. Brittany Hobbs | 5mo ago
What AI Does to Human Thinking: Cognitive Sovereignty, the Median Pull, and Why It Matters for Product Teams
/ Helen and Dave Edwards have spent a decade studying how AI changes cognition. Their findings should reshape how product leaders measure AI adoption. Brittany Hobbs | 5mo ago
Enterprise Context Is the AI Moat Nobody Built: Knowledge Graphs, Taxonomies, and Why Models Aren't Enough
/ Juan Sequeda from data.world (now ServiceNow) explains why the most expensive AI failures trace back to one missing layer — and why the 'context wars' are just beginning. Brittany Hobbs | 5mo ago
How to Measure AI Product Impact: The Bullseye Framework for Power, Speed, Impact, and Joy
/ Most AI dashboards measure usage. They should measure outcomes. Here's the four-pillar framework and the three-layer telemetry stack that replaces vanity metrics. Arpy Dragffy | 5mo ago