| name | prototype-evaluation-audit |
| description | Audit an AI agent prototype or design concept for usability, pedagogical fit, teacher feedback, active learning support, evidence quality, and next design iterations. |
Prototype Evaluation Audit
Use when reviewing a prototype, demo, wireframe, agent prompt, interaction flow, user test, or design concept.
Evaluation Dimensions
Check:
- usability for university teachers
- support for active learning implementation
- teacher control and autonomy
- clarity of agent outputs
- fit with preparation and classroom workflow
- adaptability to discipline and class size
- handling of uncertainty and bad advice
- privacy and responsible AI safeguards
- evidence quality from teacher feedback
- alignment with dissertation claims
Workflow
- Identify what is being evaluated:
- conceptual prototype
- clickable prototype
- prompt-only agent
- working software
- scenario storyboard
- Read available evaluation evidence.
- Separate:
- observed usability issues
- participant preferences
- researcher interpretation
- design recommendations
- Map each issue to severity:
- high: threatens adoption, ethics, or core teaching use
- medium: weakens usability or clarity
- low: polish or wording
- Recommend next iteration steps.
Output
Create or update:
audit-reports/PROTOTYPE_EVALUATION_AUDIT.md
design-specs/PROTOTYPE_REVISION_PLAN.md
Guardrails
Do not claim validated effectiveness from informal feedback.
Mark whether evidence comes from actual teacher use, speculative review, or researcher judgment.