UX Evals
Evaluate AI-generated experiences with structured user research
What’s new
Run studies focused on evaluating AI or LLM-powered experiences
Capture user reactions to generated outputs
Analyze how well AI responses meet user expectations
Why it matters
As more products rely on AI-generated outputs, understanding how users perceive and interact with those experiences becomes critical. UX Evals help teams test and improve AI-driven features with real user feedback.
How researchers are using it
Testing chatbot responses and identifying where users lose trust
Comparing multiple prompt variations to see which performs better
Evaluating end-to-end AI workflows before shipping
How to use it
Define the AI experience or output you want to test
Run interviews or studies with target users
Analyze feedback to refine the experience
