Define the assessment sample
Select representative public pages and record their roles, locale and allowed institutional domains.
Measurement workflow
From a defined public sample to a structured quality result
QERIS uses a repeatable multi-page workflow so each institutional result is tied to a clear sample, evidence set, framework version and confidence context.
Collect automated evidence
Run repeatable checks across the selected pages under five core standards: perceptual access, semantic structure, navigation and control, comprehension and language, and interaction integrity.
Validate and normalize evidence
Resolve final page identity, exclude duplicate outcomes, distinguish incomplete evidence and aggregate only eligible observations.
Form the institutional result
Produce the score, grade, core-standard profile and confidence context under the active framework version.
Workflow principles
Consistency before complexity
The workflow is designed to keep the public rating reproducible, bounded and understandable.
Stable rules, traceable results
The framework keeps page identity, evidence states and scoring context explicit so a result can be interpreted and repeated.
Evidence determines the result
The score is calculated from eligible automated observations rather than narrative judgment or generative-AI opinion.
Validation before aggregation
Final page identity, duplicate outcomes, redirects, failures and incomplete evidence are resolved before institution-level aggregation.
Review the scoring framework
Review the five core standards, the scoring controls, the grading scale and the confidence model.