Johnson O'Connor Research Foundation · March 2026
AI moves faster than experience can accumulate. The question of what actually makes someone good at working with it, beyond knowing the tools, doesn't have an obvious answer yet. This is my answer to that question: not a certification or job title, but an expertly measured cognitive profile.
Inductive Reasoning
Foresight
Analytical Reasoning
Number Facility
Graphoria
Assessment completed March 26, 2026 · Available upon request
Applied to AI Implementation
Inductive Reasoning
99th
Inductive Reasoning is the ability to identify patterns and form reasonable conclusions. When AI models are drifting away from outputs as conversations and prompts become more complex, I can identify the subtle inconsistencies that lead to errors in production.
Foresight
99th
Foresight is the ability to anticipate downstream consequences before they happen. When I'm designing AI pipelines and automated workflows, I can't just build for what the current challenge calls for; effective tools must account for future edge cases.
Analytical Reasoning
90th
Analytical Reasoning is the ability to break complex problems into logical steps. In AI implementation this means understanding not just whether a tool works, but how it fits into a larger workflow, where it will break, and what needs to be true for the output to be useful.
Number Facility
99th
Numerical processing speed and arithmetic accuracy. Fast, reliable numerical reasoning is foundational to validating model outputs, interpreting statistical results, and catching errors in automated calculations before they propagate.
Graphoria
95th
Data scanning speed and clerical accuracy. The ability to move through large volumes of structured data quickly and catch anomalies is a direct asset in data quality work, QA processes, and reviewing model outputs at scale.
These skills are not available from a college course or an online certification. Even before technology skills, they are the foundation to what makes AI implementation actually stick.
"I'd rather have a lot of talent and a little experience than a lot of experience and a little talent."
John Wooden
About This Assessment
The Johnson O'Connor Aptitude Test is one of the longest-running and most cited human aptitude tests in the United States. Tests are performance-based work samples, not surveys or self-reported preferences. Aptitudes measured here have been validated across decades of research and are considered stable traits, not subject to short-term improvement. Unlike personality or interest inventories, these results reflect demonstrated cognitive ability under timed conditions, making them a reliable signal of how a person's mind actually performs.