Experience Evaluation2026-04-028 min
Why designers need to understand LLM experience evaluation
Breaking experience quality into observable dimensions is key to efficient AI product collaboration.
LLM EvalDesign OpsMetrics
Why designers should join evaluation
AI product quality is often reduced to whether it feels good, but teams cannot prioritize around that vague judgment. Designers can turn understandability, control, reliability, and recovery into observable metrics.
Evaluation is not only an ML task
Model metrics explain capability, but product evaluation must cover user intent, context, interface feedback, and task outcome. Designers help teams decide whether the output actually completes the user's job.
How to operationalize it
Build sample sets, scorecards, issue labels, and version comparison dashboards so product, design, ML, and engineering can prioritize from the same evidence.