Accuracy is the most intuitive performance metric — how many questions did you get right? In MindFrame, accuracy contributes 40% to your Composite Score.
Accuracy alone is necessary but not sufficient for good decision-making. High accuracy with poor calibration means you don't know when you're right versus wrong. High accuracy with poor reasoning quality means you're getting answers right by pattern-matching rather than genuine understanding, which won't transfer to novel situations.
Your accuracy is broken down by mode and challenge type in your analytics dashboard, helping you identify specific knowledge or skill gaps. Accuracy trends over time reveal whether your training is producing genuine improvement.