Measure What Matters
Identify Development Gaps
Target Your Investment
Assess how employees evaluate evidence, reason through uncertainty, make judgments, and decide when to trust or challenge AI.
Aggregate results reveal patterns in critical thinking, analytical judgment, and human-AI decision-making.
Results can help organizations identify where training, guidance, or additional capability development will have the greatest value.
Go beyond AI familiarity
See where your organization needs support
Use evidence to guide development
Measure How Your Organization Thinks in the Age of AI
Cascadia's scenario-based diagnostic measures the critical thinking and human judgment skills employees need to use AI effectively. Identify organizational strengths, reveal development gaps, and make better-informed decisions about training and AI adoption.
What Cascadia's AI Readiness Diagnostic Measures
Evidence Evaluation
Reasoning Under Uncertainty
Can employees distinguish strong evidence from weak evidence and determine what information should actually influence a conclusion?
How well do employees interpret incomplete information, changing evidence, and uncertainty?
Judgement & Decision Making
Human AI Judgement
Can employees turn analysis into defensible judgments and decisions when there is no obvious answer?
Do employees know when AI can help, when its output requires scrutiny, and where human judgment should remain in control?
What Organizations Receive
The value of the diagnostic is not simply a score. It is understanding what the results suggest about your organization's ability to think and work effectively with AI.
Organizational Summary
An aggregate view of performance across the capabilities measured by the diagnostic.
Development Priorities
Identify areas where employees perform well and where additional development may be valuable.
Results Review
A Cascadia review of the findings, what they may mean for your organization, and possible next steps.