How AISkillProof measures AI capability

Assessments cover six skills: understanding AI, writing instructions, using tools, applying critical judgment, organizing workflows and using AI responsibly. Lessons address these same skills.

A measurement can combine objective scenarios, prompts, practical tasks, ranking, matching, completion and other work samples where appropriate. Candidates must create, check or decide; self-rating is not core evidence.

Questions with a fixed answer key are scored automatically on the server: scenarios, multiple choice, ranking, matching and completion questions with accepted answers. Free text and practical responses do not earn skill points. Scoring uses no AI or external grading service.

We keep the assessment version and scoring rules used for each attempt so we can explain how the score was calculated.

The average includes only skills with scored answers. Skills that could not be measured are marked as such. The score does not compare your team with other companies or a national reference group.

After a lesson, you answer different questions on the same skill. The report compares that skill’s score with its score in the linked first assessment.

Scores use answers that can be checked against a fixed answer key. Length, formatting and keywords in free text earn no points. Reports show the assessed share of the assessment; this percentage does not measure correctness. Free text remains available for practice and feedback, but its content quality is not automatically assessed.

An AISkillProof score is evidence within a specific skill and assessment version. It is not a universal predictor of job performance, not an automated HR decision and not an officially recognized certificate unless that is explicitly established for a separate credential.