Changes apply to all in-flight assessments. Historical completed assessments keep their original question text via version snapshots.
Every question is tagged at the database level to exactly one construct. This is the chain a consultant or client can show the stakeholder asking “where did this question come from?”
1 · Item
I have measurable evidence (time saved, errors reduced) that my AI use improves work outcomes.
لديّ دليل قابل للقياس (وقت موفّر، أخطاء أقل) على أن استخدامي للذكاء الاصطناعي يحسن نتائج العمل.
2 · Individual factor
Builds AI into the way you already work - writes clear prompts, iterates when the first answer misses, and folds the tool into recurring tasks. Measures success by faster, better deliverables, not by how often the tool is opened.
3 · Mapped AC competencies (drives course recommender + Learning Plan)
4 · Score map
| Option | Score (1–5) |
|---|---|
| 1 - Strongly Disagree | 1 |
| 2 - Disagree | 2 |
| 3 - Neutral | 3 |
| 4 - Agree | 4 |
| 5 - Strongly Agree | 5 |
No validation evidence captured for this question yet. Click below to ask Claude for an AI-suggested anchor against the curated bibliography in the methodology brief. Suggestions are saved as ai_proposed and require admin review before they appear in any client report.
For multiple choice / yes-no, enter options and score_map as JSON.