Employee Review is the fast, guided, non-technical review layer. It captures human judgment without asking employees to become AI evaluators or treating AI-reviewed platform scores as final human truth.
Purpose
The Employee Review layer exists to answer:
It should not ask employees to define training labels, invent ontology terms, or write model-quality explanations.
What employees should judge
Employees judge observable experience:
- Did Lucia understand?
- Did Lucia help?
- Did Lucia calm the situation?
- Did Lucia create risk or confusion?
- Should a senior reviewer inspect this?
- Is this useful enough to become reusable learning?
They do not need to know:
Current Employee Review fields
These fields are intentionally simple.
They convert employee reaction into structured product signal.
The current Quick Review answer options are:
The UI may show suggested Quick Review selections before the reviewer accepts, overrides, and saves.
Suggestions reduce review burden. They do not replace human judgment.
AI-reviewed platform runs are useful evidence that the review machinery works. They are not employee review and are not human Lucia-quality approval.
Quick Review UX doctrine
Quick Review should feel like a guided flow, not a form.
The preferred interaction style is:
The UI should reduce:
- scanning
- hesitation
- interpretation burden
- fear of being wrong
- freeform reviewer drift
Semantic rating sliders
The 1–10 scoring dimensions use semantic confidence bars.
These sliders should feel:
They use restrained color progression:
The color system should guide reviewer intuition without becoming loud, gamified, or dashboard-heavy.
Employee rule
Employees should not use their own invented language to train Lucia.
Onboarding boundary
Employees should not be onboarded just because the platform readiness gate passed.
The evaluator role must remain limited until access, security, and product readiness decisions are final.
Read next: Employee Onboarding Gate.
