43 interactive field cards covering nudges, biases, heuristics, and AI phenomena. A practical reference.

Run moderated tests on high-fidelity prototypes. Capture gestures, logic paths, and goal-path scores without leaving ProtoPie.

How to build more predictable AI behaviors with agents.

Users know their day. They don’t know your roadmap. Why smart users give convincing wrong answers, and how to do research that opens product space.

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.