Following a set of guiding principles helps ensure our AI product designs are ethical, effective, user-friendly, and fully functional.
This article delves into the two predominant statistical frameworks utilized in product A/B testing: Bayesian and frequentist methods.
Steve Wertz shares how ecommerce and brands have transformed over time, including with the channels and platforms they operate on.
Understanding your margin of error and confidence intervals helps you make solid product decisions and avoid costly mistakes.
Designing a UX study? The choice you make between within-subjects and between-subjects research is crucial. In this blog, I break down these approaches so you can collect insights better.
A well-defined customer discovery process serves as the foundation for building products that customers truly want.
Jonathan Conta talks about how he’s led up teams that transform modern surgery by leveraging robotic assistance to improve patient outcomes.
While continuous discovery usually triumphs over fixed, long-term research projects, it doesn’t mean the latter has no place.
When used correctly, AI can transform market research from a time-consuming necessity into a competitive advantage.
You don’t need a PhD, a big budget, or months of planning to do solid UX research. Let’s break down the biggest myths stopping teams from learning what users really need.
Anne Baskakova talks about her journey breaking into tech and her goal of inspiring other women to reach their full potential.
Priya Raghunatha shares her perspective on digital strategy and the two lenses it encompasses: data-driven and perception-driven.
