User Research for AI-First Products
Overview
Specialized user research practice focused on AI products, addressing unique challenges like user trust in AI decisions, explainability requirements, and appropriate automation levels. Developed custom research methodologies for AI contexts.
The Challenge
Traditional user research methods didn't adequately capture how users perceive and trust AI systems, leading to products with poor adoption despite good technical performance.
The Solution
Developed AI-specific research methodologies including trust assessment protocols, mental model mapping for AI, and automation acceptance testing. Created frameworks for measuring appropriate transparency and control.
Key Results
Conducted 25+ user research studies
Interviewed 500+ users about AI interactions
Created 4 reusable research frameworks