Score Quality Across More Than Accuracy
Select quality dimensions for an AI benchmark beyond raw answer correctness.
Accuracy is one lane A single correctness score can hide production blockers: stale citations, slow responses, inconsistent outputs, or unsafe access. ISO/IEC 25010 lens Use the quality model as a menu, not a checklist. Pick the dimensions that matter for the workflow. For Nora's policy assistant: Functional suitability: correct answer to the policy question Reliability: stable answer across repeated runs Performance efficiency: p95 response time under queue target Security: no answer from documents the employee cannot access Benchmark design rule Name the quality dimensions before you choose the model. Otherwise the model's strengths quietly define what quality means.
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in