---
title: Reading AI Skills Results
description: Reading AI Skills Results
---
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November 9, 2026
# Reading AI Skills Results
### What You Get
Every AI skills assessment reports results the same way: a score for each skill it measures. AI Fluency and Leading with AI measure five skills each. A role-specific assessment measures the skills identified for its role.
No assessment has a pass mark or a pass/fail result. You decide what score a role needs for each skill.
Results appear in the candidate's Bryq profile, next to cognitive ability, personality traits, and soft and hard skills.
### Reading the Skill Scores
Each skill score tells you something different. Take a product manager as an example. One may judge AI evidence well but write weak briefs for AI agents. Another may show the opposite pattern. Their training needs and interview follow-ups differ.
Use the skill scores to:
- Pick the skills a role relies on most, and give them the most weight in your review.
- Choose follow-up questions for interviews. Ask about the lowest-scoring skill.
- Plan training for current employees by skill, instead of training everyone on everything.
### Reading General and Role-Specific Scores Together
When a person takes AI Fluency and a role-specific assessment, you get two separate results. Read them side by side. Do not average them.
| Pattern | What it suggests |
| --- | --- |
| Both strong | Works well with AI in general and in this role's own work. |
| General strong, role-specific weaker | Uses AI well day to day, but may need support with the AI moments specific to the role. |
| General weaker, role-specific strong | Handles AI well in familiar role work, but may need support with everyday AI use, such as prompting or data safety. |
| Both weaker | Would benefit from AI training before taking on AI-heavy work. |
### Using Results Fairly
- Use AI skills results as one input among several. Combine them with interviews, other assessments and your own review of the person.
- Compare people who took the same assessment at the same level.
- Share development feedback by skill. It shows people what using AI well looks like in their work.
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