Assessment
How we find out how someone works with AI today, what comes out of the assessment, and why the result is not a grade or a personality box.
The assessment is the entry point into the methodology. Its job is to understand how someone uses AI in their real work today: whether they occasionally try it, use it regularly, build their own workflows with it, or already change a whole working system because of it.
We do not mainly ask which tools someone knows. What matters more is what they actually do with AI: how often they use it, for which tasks, what outputs are created, and where the way of working already changes.
#What comes out of the assessment
The result has four parts. Each answers a different question.
| Part of the result | In plain language | What it is for |
|---|---|---|
| Level | Where you are today in your work with AI | Sets the difficulty of the next recommendations |
| Superpower Profile | How you most often create value with AI | Helps choose a natural development style |
| Growth Edge | What will move you forward now | Defines the closest practical next step |
| SP Score | A baseline numeric measure | Useful mainly for repeated measurement and tracking progress |
Level is the main result. Profile and Growth Edge add context. We do not use the score as a grade, but as a reference point you can return to later.
#Two assessment formats
Spark - quick questionnaire
About 5 minutes. It gives a quick orientation: how often someone uses AI, in which situations, and what type of AI work appears in their practice.
Deep - interview with Aimee
About 20 minutes. It goes deeper: concrete examples from work, outputs, habits, and decisions. Deep carries more weight in evaluation than Spark.
Spark is a good start. Deep is more precise because it is based on concrete behavior and examples from work.
#Why the result is not a permanent label
Work with AI changes quickly. A new tool, a new project, or one useful experience can change how someone uses AI within a few weeks. That is why an assessment result does not say "this is who you are forever."
It says something closer to: this is how you work with AI today, and this is the next step that makes sense now.
That matters especially for repeated measurement. A new result is not a correction of the original one. It captures movement: what changed in work, habits, tools, and impact.
#What to read next
How to read your result
What the combination of level, profile, Growth Edge, and SP Score means in a report or personal AI context.
What is Superpowered Professional
Four levels, four ways of creating value with AI, and the principle of the next step.
AI Work Levels
The four levels of AI maturity, the typical signals in work, and the difference between using, building, and transforming with AI.
Profiles and Growth Edges
Vision, Analysis, Creation, and Scaling as a working compass, not a personality type.
What the assessment includes
What the quick questionnaire asks, what the deeper interview explores, and what the assessment deliberately does not test.
How we score
Why the main result is the level, how we work with evidence, and where SP Score is useful.
Certification
When a result becomes a certification, what the participant receives, and how a company can use it.
Superpowered Professional Methodology
How Aibility identifies where a person or team stands in their work with AI, how that becomes a report, and how practical coaching builds on it.
How to read your result
What level, profile, Growth Edge, and SP Score mean when you see them in a report or personal AI context.