How they use AI, what they dream it could make possible, and what they fear it might do.

Determining whether something is worth acting on.

People’s opinions about themselves and the things they use rarely match real behavior.

Parts of A are better, parts of B are better, and there’s probably a Version C that would beat them both.

How do we keep updating the parameters of a model without breaking it?

Research isn’t everything. Facts alone don’t win arguments, but powerful stories do.

Foils are fake (but plausible) options in screeners that catch inattentive or dishonest participants, protecting data quality and saving time.

A genAI-based model of a particular individual that can be used to predict both individual and population-level preferences and behaviors.

Global crowdsourced benchmark for design—a framework for evaluating AI design capabilities.

Take the survey! After years of rapid innovation, now feels like the right time for browser vendors to take a beat to consolidate and fix.

Results from a large-scale tech worker sentiment survey.

There’s a clear need for harder benchmarks to measure model performance against.

A simple approach for rstimating geometry in the presense of motion.

This research-approved design pattern has me a little worried.

Common myths about user research that often prevent companies from implementing this valuable practice.

How a weird little UI to collect sentiment alongside survey responses defied constraints and triumphed over skepticism through usability testing.

Use methods like 5-second testing, first-click testing, and preference testing to gain insights into how users perceive your visual design.

Does it provide deeper insights than other approaches?

How ChatGPT, Claude, and other AI crawlers process web content, including JavaScript rendering, assets, and other behavior and patterns.

Enhance your product’s information architecture with our advanced card sorting feature.