Help Center
How to Read Your Summary & Composite Score
Quick reference for understanding your performance metrics at a glance.
The Summary Tile Explained
Your Summary tile shows three key metrics that together tell you whether your AI-assisted work is calibrated (accurate self-assessment), sustainable (manageable workload), and improving over time.
Composite Score Formula
How we calculate your overall performance
Composite = (100 - |Δ|) × Quality Weight + TLX PenaltyThe Composite score combines your calibration accuracy (Δ) with quality metrics and applies a workload penalty when TLX exceeds sustainable thresholds.
Score Components
Overestimation Δ
0-100 scaleGap between your self-rating and reviewer score. Lower is better.
micro-TLX
0-100 scaleMental demand + frustration captured post-task. Lower is better.
Quality Score
0-100%Rubric-based evaluation of your deliverable. Higher is better.
Visual Reference
Reading your Summary tile at a glance
Interpreting Your Score
High Composite, Low Δ, Low TLX
Optimal state—you're calibrated, producing quality work sustainably.
Continue current approach, try harder tasks.
High Composite, High Δ
Good output but poor self-assessment. You're underselling or overselling.
Review calibration drills to align perception with reality.
Low Composite, Low Δ, High TLX
Accurate self-assessment but struggling with workload.
Reduce task complexity or take breaks.
Low Composite, High Δ, High TLX
Warning state—both calibration and workload are off.
Stop and reset. Review Fair Trial methodology.
Quick Tips
- Track your Δ trend over 5+ sessions to spot drift patterns.
- Compare morning vs. afternoon TLX to find your optimal work windows.
- Review misses in the 'Review & Learn' section after each run.
- Use the Composite score for quick comparisons; dive into components for diagnosis.
Next Steps
Ready to measure your AI impact? Start with a quick demo to see your Overestimation Δ and cognitive load metrics.