Project-topic assessment
The AI grades a submission against the topic’s rubric — not a generic prompt — and returns rubric-aligned feedback.
AI Evaluation
Faster feedback. Trainer judgement still in the loop.
Sigmafy evaluates submitted work against the rubric and returns structured feedback in seconds. Trainers can refine, override or sign off — every result is on the record.
Cause & Effect Analysis
Submitted 4 min ago · 2 attachments
Identifies primary process input
Pass
Cites measurement plan
Pass
Quantifies variation source
Needs detail
Links to control phase
Pending
Trainer note
Strong on inputs and measurement. Recommend tightening the link
between root cause and control plan before sign-off.
Trainer can override
What it does
Designed to assist, not replace.
Answer validation
Validates exam and quiz answers against the configured rubric and surfaces partial-credit reasoning.
Trainer review
Every AI evaluation is reviewable. Trainers can refine, override or sign off — and that decision is logged too.
Activity log
The audit trail captures who submitted, what the AI returned, what the trainer changed, and when.
Consistency at scale
One rubric, applied evenly across cohorts. Useful when one trainer can’t personally grade 200 delegates.
AI-assisted, not autonomous
Sigmafy is explicit: AI assists, humans can always review. Final sign-off stays with the trainer.
Safeguards
Where the AI helps — and where it stops.
- AI returns structured rubric scoring, not a single grade.
- Trainer must review before any project moves to the next phase.
- Override decisions are logged with the trainer's name and timestamp.
- Submissions, AI output and trainer notes are kept together for audit.
- AI never auto-issues certificates — that requires explicit completion.
Faster grading without losing rigour.
See how the AI evaluates one of your topics. We’ll walk you through a real submission.